cs emerging markets quarterly - q2 2012

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  • 8/2/2019 CS Emerging Markets Quarterly - Q2 2012

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    ANALYST CERTIFICATIONS AND IMPORTANT DISCLOSURES ARE IN THE DISCLOSURE APPENDIX. FOR OTHER

    IMPORTANT DISCLOSURES, PLEASE REFER TO https://firesearchdisclosure.credit-suisse.com.

    Emerging Markets Quarterly

    Q2 2012

    The EM worlds short-term growth indicators have become more encouraging

    over the past two months. Most importantly, the forward-looking PMI new orders

    data for the EM world as a whole have bounced somewhat from their low point

    in late 2011. However, the backward-looking IP growth numbers for the EM

    world have yet to show a convincing bounce. When we exclude the volatile

    figures for India, Thailand and Singapore from our aggregate EM growth

    measure, we find that sequential worldwide EM IP growth remained largelystable at about 5% between April 2011 and January 2012.

    Our measures of three-month headline and core inflation for the EM world as a

    whole have continued to trend down in recent months. We saw divergent

    patterns in different EM countries in the second half of 2011 when local food

    and energy prices rose substantially in some countries in response to currency

    depreciation, but data for the first two months of 2012 show a tendency for

    inflation to come back down again in those countries.

    14 March 2012Fixed Income Research

    http://www.credit-suisse.com/researchandanalytics

    Research Analysts

    Kasper Bartholdy

    +44 20 7883 4907

    [email protected]

    Berna Bayazitoglu

    +44 20 7883 3431

    [email protected]

    Alonso Cervera

    +52 55 5283 [email protected]

    Dong Tao

    +852 2101 7469

    [email protected]

    See inside cover for full list of analysts

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    14 March 2012

    Emerging Markets Quarterly 2

    T h i s p a g e i s i n t e n t i o n a l l y l e f t b l a n k .

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    Emerging Markets Quarterly 4

    Indonesia: All about inflation 110Korea: Growth has troughed, rates on hold 115Malaysia: Outperform till the next election? 120Philippines: Promising signs emerging 124Singapore: Higher wage growth ahead? 128Taiwan: Emerging from a technical recession 132Thailand: Investment leads the way 137Long-term sovereign FX debt ratings 141Key websites 143Previous publications 149Key dates 157Gross financing needs for 2012 162Balance of payments financing needs 163Government funding needs 176Quarterly and annual forecasts for developed countries 186Summary macroeconomic data for developed countries 187Summary macroeconomic data 192

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    14 March 2012

    Emerging Markets Quarterly 5

    Moderately encouraging EM PMI data alongsidestability in EM core inflationSummaryOverview: The EM worlds short-term growth indicators have become more encouraging

    over the past two months. Most importantly, the forward-looking PMI new orders data forthe EM world as a whole have bounced somewhat from their low point in late 2011(Exhibit 1). However, the backward-looking IP growth numbers for the EM world have yetto show a convincing bounce. When we exclude the volatile figures for India, Thailand andSingapore from our aggregate EM growth measure, we find that sequential worldwide EMIP growth remained largely stable at about 5% between April 2011 and January 2012(Exhibit 2).

    Our measures of three-month headline and core inflation for the EM world as a wholehave continued to trend down in recent months. We saw divergent patterns in different EMcountries in the second half of 2011 when local food and energy prices rose substantiallyin some countries in response to currency depreciation, but data for the first two months of2012 show a tendency for inflation to come back down again in those countries.

    Exhibit 1: The EM worlds PMI indices for neworders have move up from their 2011 lows in themost recent months, especially in non-Japan Asiaand Latin America

    Exhibit 2: Sequential EM industrial productiongrowth remained stable in January 2012 (on ameasure that excludes the volatile figures for India,Thailand and Singapore from the calculation), butthe PMIs indicate that EM growth is about to bounce

    Seasonally adjusted regional indices for PMI new orders. See the footnotebelow regarding the GDP-weighting of country-specific observations. PMI neworders indices are lead indicators for sequential industrial production growth.

    The dark thick line shows (using the left hand scale) the annualized % change inthe seasonally adjusted industrial production level for the EM world as a wholeduring the last three months. The line with the diamonds shows the samegrowth concept for the EM world excluding India, Thailand and Singapore. Theother two lines show PMI new orders indices (using the right hand scale).

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    Feb-10 Aug-10 Feb-11 Aug-11 Feb-12

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    LatAm new ordersEMEA new ordersNJA new orders

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    EM IP, 3m% ann.* (left scale)EM IP ex-IN, SG, TH, 3m% ann.* (left scale)EM new orders** (right scale)Global new orders (right scale)

    *Observations for 13 countries were taken into account and weighted by the countries 2010nominal GDP. The countries are listed in footnotes of Exhibits 7-9.

    Source: PMI Premium, Haver Analytics, Credit Suisse

    *Observations for 20 countries (listed in footnotes below Exhibits 7-9) were weighted by thecountries 2010 nominal GDP. The figures were seasonally and workday-adjusted. **Theindex takes into account PMI readings for Brazil, Mexico, Czech Republic, Hungary, Poland,Russia, South Africa, Turkey, China, India, Korea, Singapore and Taiwan..

    Source: PMI Premium, Haver Analytics, Credit Suisse

    Growth: The forward-looking PMI new orders index for the EM world rose encouraginglyin December and January and remained at the new and moderately higher level inFebruary, suggesting that some strengthening of the sequential IP growth figures shouldbecome visible in the forthcoming data releases (Exhibits 1 and 2) it isnt truly visible atthis stage. While our three-month measure of growth in industrial production (IP) for theEM world as a whole bounced sharply in December 2011 and January 2012 after stayingin a narrow range at an unsatisfactory low level for nearly a year (Exhibits 2 and 5), thisreflects temporarily extra-ordinarily high month-on-month figures for India, Thailand andSingapore. If we exclude those figures from the aggregates, we find that EM IP growthremained stable in Q4 2011 and in January 2012 (the latest available observation).

    Kasper Bartholdy

    +44 20 7883 4907

    [email protected]

    Natig Mustafayev+44 20 7888 1065

    [email protected]

    While backward-

    looking IP growth for

    the EM world is yet to

    bounce notably,

    the PMI data suggest

    that it will

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    14 March 2012

    Emerging Markets Quarterly 6

    The growth trends differ across regions. China has just released revised IP figures for the

    past year. The updated series shows a gradual decline in Chinas three-month annualized

    rate of IP growth to 8.4% in February 2012 from 12.7% in the middle of 2011 and 19.8% at

    the end of 2010 (Exhibit 10). In non-Japan Asia outside of China (an area in which India

    and Korea are the largest economies), the annualized three-month rate of IP growth

    jumped massively into positive territory in December 2011 and January 2012, under the

    influence of one-off factors that are discussed below. In the EMEA area, annualized three-

    month IP growth slowed sharply to about 1% in January 2012 from more than 8% in late2011. In Latin America, Brazils IP growth remains very weak but Mexicos has bounced.

    Inflation: After remaining stable for a few months, our measures of three-month EM

    headline and core inflation resumed their decline in the three months from December to

    February, helped by particularly large falls in inflation in China and India (Exhibit 3). Three-

    month inflation in the rest of the EM world rose notably towards the end of last year but

    came off again in January and February (Exhibit 4). This reflects in part the temporary

    impact (on food and energy price inflation) of last years EM currency depreciation against

    the dollar and the euro an effect that has subsequently been mostly reversed.

    Exhibit 3: Our sequential measure of EM headline

    inflation has been declining since December afterremaining stable for a few months

    Exhibit 4: : In the EM world outside of China andIndia, a spike in food inflation drove up headline

    inflation in late 2011, but headline inflation fell backagain in January and February 2012

    Annualized % change in the seasonally adjusted CPI indices for the EM worldas a whole over the last three months

    Annualized % change in the seasonally adjusted CPI indices for the EM worldexcluding China and India over the last three months

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    Aug-09 Feb-10 Aug-10 Feb-11 Aug-11 Feb-120

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    18Headline CPI*

    Food CPI

    Core CPI**

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    Aug-09 Feb-10 Aug-10 Feb-11 Aug-11 Feb-120

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    18Headline CPI*

    Food CPI

    Core CPI**

    *For headline inflation, 31 countries are taken into account and weighted by their 2010nominal GDP. These countries are listed in the footnotes for Exhibits 27-29. Argentina is notincluded. For India, the index used is the WPI. **For core inflation (defined here to be thechange in the CPI index excluding food, energy, alcohol and tobacco), 21 countries are takeninto account and weighted by their 2010 nominal GDP. These countries are listed in thefootnotes for Exhibits 27-29. For India, the index used is the WPI.

    Source: Haver Analytics, the BLOOMBERG PROFESSIONAL service, Credit Suisse.

    * For headline inflation, the same 31 countries are taken into account as in Exhibits 27-29excluding China, India and Argentina. The countries are listed in footnotes to the latter charts.**For core inflation (defined here to be the change in the CPI index excluding food, energy,alcohol and tobacco), we use the same subset of EM countries as in Exhibit 22, but excludingIndia and China.

    Source: Haver Analytics, the BLOOMBERG PROFESSIONAL service, Credit Suisse.

    Exchange rates: Most EM currencies have recovered a lot of ground against the dollar

    and the euro so far this year. At this stage only a short list of EM countries has currencies

    which in REER terms remain more than 3% cheap to the levels that prevailed in mid-

    2011: Hungary, Brazil, Israel, Mexico, Poland, Romania and India.

    Sequential EM

    inflation continued

    to decline in

    December 2011 and

    January 2012

    Recovering EM

    currencies

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    Emerging Markets Quarterly 7

    PMIs signaling stronger sequential growth mainly in Asia

    The most recent PMI data (Exhibits 7- 9) suggest better EM output trends in the months

    ahead, especially in Asia and Latin America. We find it particularly noteworthy that the

    Chinese PMI new orders data have risen significantly from recent lows (Exhibit 10). Right

    now the PMI data probably give a more reliable impression of the underlying growth trends

    than does the figure for annualized three-month IP growth (the run-rate) for the EM world.

    The IP run-rate for the EM world rose from 1.3% in November 2011 to 4.3% in December

    and 9.3% in January1, as we show in the dark thick line in Exhibit 2. But it was inflated, most

    significantly in January, by sharp one-off bounces in India, Thailand and Singapore. The

    Indian figures are simply implausibly erratic, Thailands January observation reflects a sharp

    and quick recovery from a flood-induced slump, and Singapores IP figures are rendered

    very volatile by the special dynamics of the countrys pharma sector.

    If we take those three countries out of our EM IP measure (see the thin line in Exhibit 2), we

    are left with a series that shows sequential IP growth for the EM world remaining stable

    continuously between April of 2011 and January of 2012. Although no growth bounce is as

    yet visible in that series. IP growth has risen sufficiently impressively in Korea (Exhibit 11),

    and Mexico (Exhibit 14) to offset weakening in China (Exhibit 10), Brazil (Exhibit 13),

    Russia (Exhibit 15) and Turkey (Exhibit 16).

    Exhibit 5: While three-month IP growth has continuedto weaken in EMEA and China in recent months, it hasrecovered sharply in other parts of Asia whileremaining largely unchanged (at zero) in Latin America

    Exhibit 6: Three-month IP growth has recovered to adecently strong rate in the US and but hascontinued to decline (from very high levels) in China

    Annualized % change in the industrial production level (sa) over the last threemonths preceding each observation point in the chart.

    Annualized % change in the industrial production level (sa) over the last threemonths preceding each observation point in the chart.

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    LatAmEMEANJANJA ex-ChinaNJA ex-China, Singapore & Thailand

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    USEurozoneChina

    *Observations for 19 countries were taken into account and weighted by the countries 2010nominal GDP. The countries are listed in footnotes of Exhibits 7-9.

    Source: Haver Analytics, the BLOOMBERG PROFESSIONAL service, Credit Suisse

    Source: Haver Analytics, the BLOOMBERG PROFESSIONAL service, Credit Suisse

    EM output growth is, in our view, likely to be supported in the coming quarters by the

    already visible positive growth momentum in the US, a policy-induced bottoming out ofgrowth in China, recent central bank policy easing across much of the rest of the EM world,

    and global commodity price stability. The main risk to this view is probably that the

    assumed commodity price stability may not materialize. Higher global oil and food prices

    could be a significant growth impediment.

    1 To be exact, we define the run rate or the three-month growth rate as the annualized three-month moving average of themonth-on-month growth rates in the seasonally adjusted IP series.

    Moderately stronger

    PMI data point to a

    pick-up in IP growth

    in the coming

    months

    One-off strength in

    parts of Asia has

    pushed up

    sequential IP growth

    for the EM world,

    but underlying

    sequential IP growth

    remained stable

    through January

    2012

    We see moderately

    stronger EM growth

    in the coming

    quarters

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    Emerging Markets Quarterly 8

    Exhibit 7: Latin America IP, mfgPMI and US ISM new orders

    Exhibit 8: EMEA IP, mfg PMI andeuro zone new orders

    Exhibit 9: NJA ex-China IP, mfgPMI and global new orders

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    LatAm PMI**LatAm new orders**US new ordersLatAm IP, 3m% ann.* (rhs)

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    EMEA mfg PMI**EMEA new orders**Eurozone new ordersEMEA IP, 3m% ann.* (rhs)

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    NJA ex-China PMI**NJA ex-China new orders**Global new ordersNJA ex-Ch IP, 3m% ann.* (rhs)

    *We weight data for five countries by these countries 2010nominal GDP: Argentina, Brazil, Chile, Colombia andMexico. Seasonally and workday-adjusted; annualized %change over three months. **We weight the PMIs for Braziland Mexico by their 2010 nominal GDP.

    Source: Haver Analytics, Statistics Office, INEGI, PMIPremium, Credit Suisse

    *We weight data for eight countries by these countries 2010nominal GDP: Czech Republic, Hungary, Poland, Romania,Russia, South Africa, Turkey and Ukraine. Seasonally andworkday-adjusted; annualized % change over three months.**We weight the PMIs for Czech Republic, Hungary, Poland,Russia, South Africa and Turkey by their 2010 nominal GDP.

    Source: Haver Analytics, Statistics Office, PMI Premium,Credit Suisse

    *We weight data for six countries by these countriesindustrial sector value added in 2010: India, Korea,Malaysia, Singapore, Taiwan and Thailand. Seasonally andworkday-adjusted; annualized % change over three months.**We weight the PMIs for China, India, Korea and Singaporeby their 2010 nominal GDP.

    Source: Haver Analytics, Statistics Office, PMI Premium,Credit Suisse

    Exhibit 10: China IP and mfg PMI Exhibit 11: Korea IP and mfg PMI Exhibit 12: India IP and mfg PMI

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    China PMI**China new orders**China IP, 3m% ann.* (rhs)

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    Korea mfg PMIKorea new ordersKorea IP, 3m% ann.* (rhs)

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    India mfg PMIIndia new ordersIndia IP, 3m% ann.* (rhs)

    *Seasonally and workday-adjusted; annualized % changeover three months.**We use the governments manufacturing PMI series.

    Source: Credit Suisse, Haver Analytics, Statistics Office

    *Seasonally and workday-adjusted; annualized % changeover three months.

    Source: Haver Analytics, Statistics Office, PMI Premium

    *FY2004=100, seasonally and workday-adjusted;annualized % change over three months.

    Source: Haver Analytics, Statistics Office, PMI Premium

    Exhibit 13: Brazil IP and mfg PMI Exhibit 14: Mexico IP and mfg PMI Exhibit 15: Russia IP and mfg PMI

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    Brazil mfg PMIBrazil new ordersBrazil IP, 3m% ann.* (rhs)

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    Mexico mfg PMIMexico new ordersMexico producer confidence**Mexico IP, 3m% ann.* (rhs)

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    Russia PMIRussia new ordersRussia IP, 3m% ann.* (rhs)

    *Seasonally and workday-adjusted; annualized % changeover three months.

    Source: Haver Analytics, Statistics Office, PMI Premium

    *Seasonally and workday-adjusted; annualized % changeover three months. **Diffusion index calculated by INEGIbased on Opinion Survey of the Mfg Sector. Mfg PMI is alsoproduced by INEGI

    Source: Haver Analytics, Statistics Office

    *Seasonally and workday-adjusted; annualized % changeover three months.

    Source: Haver Analytics, Statistics Office, PMI Premium

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    14 March 2012

    Emerging Markets Quarterly 9

    Exhibit 16: Turkey IP and mfg PMI

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    Turkey mfg PMITurkey new ordersTurkey IP, 3m% ann.* (rhs)

    *Seasonally and workday-adjusted; annualized % changeover three months.

    Source: Haver Analytics, Statistics Office, PMI Premium

    Exhibit 18: S. Africa mfg outputand mfg PMI

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    S. Africa mfg PMIS. Africa new ordersS. Africa mfg output, 3m% ann.* (rhs)

    *Manufacturing production; seasonally and workday-adjusted;annualized % change over three months.

    Source: Haver Analytics, Statistics Office, PMI Premium

    Exhibit 17: Industrial production growth by country% year-on-year change

    Q1 10 Q2 10 Q3 10 Q4 10 Q1 11 Q2 11 Q3 11 Q4 11 Jan 11 Feb 11

    Latin America* 11.2 11.2 7.1 4.2 4.5 2.4 2.0 0.4 -0.1 na

    Argentina(1) 13.1 9.4 6.8 5.9 4.4 5.8 4.5 2.1 -0.9 na

    Brazil 18.2 14.3 8.0 3.3 2.8 0.6 0.0 -2.0 -3.4 na

    Chile -5.8 6.1 6.8 5.4 14.5 7.4 4.4 2.0 3.6 naColombia 3.9 7.6 3.5 4.4 5.5 3.4 6.1 4.4 na na

    Mexico 4.8 8.2 6.5 5.0 5.4 3.4 3.5 3.2 4.2 na

    EMEA* 10.1 11.5 8.1 8.4 8.9 5.5 5.4 4.4 3.5 na

    Czech Republic 6.9 11.5 10.7 11.9 12.3 9.1 3.7 3.1 3.1 na

    Hungary 5.1 13.5 12.9 10.5 12.6 4.3 2.7 3.0 -0.4 na

    Poland 10.2 12.5 11.9 9.8 9.0 5.4 5.7 7.5 9.1 na

    Romania 4.3 6.8 4.5 6.3 11.4 4.0 5.5 2.2 1.2 na

    Russia 9.5 10.9 6.5 6.7 6.0 4.8 5.0 3.3 3.8 na

    South Africa 4.1 8.7 4.6 2.8 4.9 0.7 2.6 2.1 2.4 na

    Turkey 17.3 13.8 10.0 12.1 14.4 8.0 7.6 6.4 1.4 na

    Ukraine 11.2 13.3 9.0 11.5 10.3 8.5 9.2 3.3 2.0 na

    Non-Japan Asia* 20.7 16.3 12.1 12.3 12.4 10.8 10.2 7.8 7.0 na

    NJA excl China 22.4 16.9 9.8 10.6 8.9 5.1 4.0 -0.5 -1.3 na

    China 19.8 15.9 13.5 13.3 14.4 13.9 13.8 12.8 11.4 11.4

    India(2) 14.0 9.6 6.8 8.6 7.9 7.0 3.2 1.1 6.8 na

    Korea 25.7 18.8 10.9 11.8 10.4 7.1 5.3 5.0 -2.0 na

    Malaysia 10.7 10.6 4.2 3.7 2.4 -1.6 2.0 2.8 0.3 na

    Singapore 37.2 45.3 13.7 25.7 19.0 -3.8 8.9 9.3 -8.7 na

    Taiwan 48.8 29.7 18.8 17.7 15.3 7.1 3.4 -4.0 -16.5 na

    Thailand 31.2 17.6 9.8 2.6 -2.2 -2.5 1.8 -34.2 -15.2 na

    EM World* 16.8 14.4 10.3 9.8 10.3 8.2 7.6 5.6 5.1 na

    (1) Argentinean IP data are privately collected by FIEL.(2) We use the IP series for India with the base year FY2004 = 100.*The regional aggregate is calculated by weighting each countrys IP data by its 2010 nominal GDP.

    Source: Haver Analytics, the BLOOMBERG PROFESSIONAL service, Credit Suisse

    Exhibit 19: Poland IP andmanufacturing PMI

    Exhibit 20: Hungary IP andmanufacturing PMI

    Exhibit 21: Czech Republic IP andmanufacturing PMI

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    Poland mfg PMIPoland new ordersPoland IP, 3m% ann.* (rhs)

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    Hungary mfg PMIHungary new ordersHungary IP, 3m % ann.* (rhs)

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    Czech mfg PMICzech new ordersCzech IP, 3m % ann.* (rhs)

    *Seasonally and workday-adjusted; annualized % changeover three months.

    Source: Haver Analytics, Statistics Office, PMI Premium

    *PMI series from Hungarian Association of Logistics,Purchasing and Inventory Management (HALPIM); Seasonallyand workday; annualized % change over three months.

    Source: Haver Analytics, Statistics Office

    *Seasonally and workday-adjusted; annualized % changeover three months.

    Source: Haver Analytics, Statistics Office, PMI Premium

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    Emerging Markets Quarterly 10

    EM inflation generally looking benign

    Our aggregate measure of three-month inflation for the EM world as a whole remains on a

    declining trend this is true both for core and for headline inflation. A number of EM

    countries saw a bounce in inflation in late 2011 on the back of substantial currency

    depreciation. But this process was reversed in early 2012. Aggregate EM headline inflation

    measured by the three-month annualized run-rate2 generally fell slowly and

    continuously between November 2010 and September 2011, stabilized betweenSeptember and November 2011, and then declined again in December 2011, January and

    February 2012 (Exhibit 22). An important influence on the decline in the global EM inflation

    figures has been a sharp fall in inflation in China, driven by stabilization of local pork prices

    (Exhibit 39).

    Core inflation remains notably well-behaved in most countries. Our sequential annualized

    three-month measure (the run-rate) of core inflation for the EM world excluding China

    and Indiahovered in a narrow range of about 5.0%-5.5% between April and December

    2011, but fell in the first two months of 2012 to reach 3.8% in February (Exhibit 23).

    Interestingly, our measure of the run-rate of Chinas core inflation fell almost all the way to zero

    in November and December after having hovered at much higher levels earlier in 2011. This is

    consistent with the longer-term experience, which suggests that food inflation, which has recently

    fallen sharply in China, is an important influence on that countrys core inflation. However, the run-

    rate measure of Chinas core inflation picked up moderately to 1.7% in February from its recent

    low of 0.4% in December 2011.

    From a forward-looking perspective, we think it makes sense to expect the impact of

    currency depreciation on inflation to continue to be reversed in response to the recent

    strengthening of many EM currencies, and to expect the recent sharp decline in food price

    inflation in China to be a one-off effect that will depress headline inflation less and less

    over time.

    Exhibit 22: Our sequential measure of EM headlineinflation declined in January and February after

    remaining stable for a few months

    Exhibit 23: In the EM world outside of China andIndia, a spike in food inflation drove up headlineinflation in late 2011, but this effect has been

    reversed in January and February 2012Annualized % change in the seasonally adjusted CPI indices for the EM worldas a whole over the last three months

    Annualized % change in the seasonally adjusted CPI indices for the EM worldexcluding China and India over the last three months

    0

    3

    6

    9

    12

    15

    18

    Aug-09 Feb-10 Aug-10 Feb-11 Aug-11 Feb-12

    0

    3

    6

    9

    12

    15

    18Headline CPI*

    Food CPI

    Core CPI**

    0

    3

    6

    9

    12

    15

    18

    Aug-09 Feb-10 Aug-10 Feb-11 Aug-11 Feb-12

    0

    3

    6

    9

    12

    15

    18Headline CPI*

    Food CPI

    Core CPI**

    *For headline inflation, 31 countries are taken into account and weighted by their 2010nominal GDP. These countries are listed in the footnotes for Exhibits 27 -29. Argentina is notincluded. For India, the index used is the WPI. **For core inflation (defined here to be thechange in the CPI index excluding food, energy, alcohol and tobacco), 21 countries are takeninto account and weighted by their 2010 nominal GDP. These countries are listed in thefootnotes for Exhibits 27-29. For India, the index used is the WPI.

    Source: Haver Analytics, the BLOOMBERG PROFESSIONAL service, Credit Suisse.

    * For headline inflation, the same 31 countries are taken into account as in Exhibits 27 - 29excluding China, India and Argentina. The countries are listed in footnotes to the latter charts.**For core inflation (defined here to be the change in the CPI index excluding food, energy,alcohol and tobacco), we use the same subset of EM countries as in Exhibit 22, but excludingIndia and China.

    Source: Haver Analytics, the BLOOMBERG PROFESSIONAL service, Credit Suisse.

    2 These statements are based on our estimate of sequential inflation for the EM world as a whole. We refer to our measure ofsequential inflation as "the run-rate of consumer prices" defined as the annualized % change during the most recent threemonths in the GDP-weighted average of seasonally adjusted price indices for the EM countries.

    EM headline

    inflation has

    generally continued

    to fall in recent

    months

    Core inflation

    remains well

    behaved

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    Exhibit 24: World oil prices Exhibit 25: World grain prices Exhibit 26: World metals pricesBrent: level and % yoy change in the US$ price Grain price index*: level (2005=100) and % yoy

    change in the US$ priceLMEX US$ price index for metals: level (2005=100)and % yoy change

    30

    60

    90

    120

    150

    180

    13-Mar-09 13-Sep-10 13-Mar-12

    -60

    0

    60

    120

    180US$/bbl (left axis)

    %yoy chg (right axis)

    140

    170

    200

    230

    260

    290

    320

    13-Mar-09 13-Sep-10 13-Mar-12

    -50

    -10

    30

    70

    1102005=100 (left axis)

    %yoy chg (right axis)

    60

    100

    140

    180

    220

    260

    13-Mar-09 13-Sep-10 13-Mar-12

    -60

    -30

    0

    3060

    90

    120

    1502005=100 (left axis)

    %yoy chg (right axis)

    Source: the BLOOMBERG PROFESSIONAL service * Index that attributes equal weight to US wholesale prices forwheat, corn, soy and rice prices measured in US$

    Source: the BLOOMBERG PROFESSIONAL service

    Source: the BLOOMBERG PROFESSIONAL service

    Exhibit 27: Latin AmericaCPI inflation*

    Exhibit 28: Emerging Europe, MiddleEast and Africa CPI inflation*

    Exhibit 29: Non-Japan AsiaCPI inflation*

    Annualized % 3-month change in the CPI (sa) Annualized % 3-month change in the CPI (sa) Annualized % 3-month change in the CPI (sa)

    0

    5

    10

    15

    20

    Feb-08 Jun-09 Oct-10 Feb-12

    0

    10

    20

    30

    40Headline CPI* (left axis)Core CPI** (left axis)Food CPI (right axis)

    -5

    0

    5

    10

    15

    20

    Feb-08 Jun-09 Oct-10 Feb-12

    -10

    0

    10

    20

    30

    40Headline CPI* (left axis)Core CPI** (left axis)Food CPI (right axis)

    -5

    0

    5

    10

    15

    20

    Feb-08 Jun-09 Oct-10 Feb-12

    -10

    0

    10

    20

    30

    40Headline CPI* (left axis)Core CPI** (left axis)Food CPI (right axis)

    * The aggregates in this chart exclude Argentina. The 8countries that are taken into account and weighted by 2010nominal GDP are Brazil, Chile, Colombia, Ecuador, Mexico,Panama, Peru and Venezuela.

    ** Core inflation excludes food, energy, alcohol and tobacco; only

    for a selected subset of four of the eight Latin American countrieslisted above. These are Brazil, Chile, Mexico and Peru.

    Source: Haver Analytics, the BLOOMBERGPROFESSIONAL service, Credit Suisse

    * The 12 countries that are taken into account and weighted by2010 nominal GDP are Czech Republic, Egypt, Hungary,Israel, Kazakhstan, Nigeria, Poland, Romania, Russia, SouthAfrica, Turkey and Ukraine.

    ** Core inflation excludes food, energy, alcohol and tobacco;

    only for nine EMEA countries listed above. These are CzechRepublic, Hungary, Israel, Kazakhstan, Poland, Romania,Russia, South Africa and Turkey.

    Source: Haver Analytics, the BLOOMBERGPROFESSIONAL service, Credit Suisse

    * The 11 countries that are taken into account and weighted by2010 nominal GDP are China, Hong Kong, India, Indonesia,Korea, Malaysia, Philippines, Singapore, Taiwan, Thailand andVietnam. For India, the price index used is the WPI.

    ** Core inflation excludes food, energy, alcohol and tobacco;

    only for eight non-Japan Asian countries listed above. Theseare China, Hong Kong, India, Korea, Philippines, Singapore,Taiwan and Thailand.

    Source: Haver Analytics, the BLOOMBERGPROFESSIONAL service, Credit Suisse

    Exhibit 30: Brazils CPI inflation Exhibit 31: Mexicos CPI inflationExhibit 32: Czech RepublicsCPI inflation

    Annualized % 3-month change in the CPI (sa) Annualized % 3-month change in the CPI (sa) Annualized % 3-month change in the CPI (sa)

    -5

    0

    5

    10

    15

    20

    Feb-08 Jun-09 Oct-10 Feb-12

    -10

    0

    10

    20

    30

    40Headline CPI (left axis)Core CPI* (left axis)Food CPI (right axis)

    -5

    0

    5

    10

    15

    20

    Feb-08 Jun-09 Oct-10 Feb-12

    -10

    0

    10

    20

    30

    40Headline CPI (left axis)Core CPI* (left axis)Food CPI (right axis)

    -5

    0

    5

    10

    15

    20

    Feb-08 Jun-09 Oct-10 Feb-12

    -10

    0

    10

    20

    30

    40Headline CPI (left axis)Core CPI* (left axis)Food CPI (right axis)

    *Index calculated by Credit Suisse: excludes food andbeverages, fuels and energy and fuels for personal transport.

    Source: Haver Analytics, IBGE, Credit Suisse

    *Index calculated by Credit Suisse: excludes food andbeverages, tobacco, electricity and fuels.

    Source: Haver Analytics, Banxico, Credit Suisse

    *Index calculated by Eurostat: excludes food, energy,alcohol and tobacco.

    Source: Haver Analytics, Eurostat, Credit Suisse

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    Exhibit 33: Hungarys CPI inflation Exhibit 34: Polands CPI inflation Exhibit 35: Russias CPI inflationAnnualized % 3-month change in the CPI (sa) Annualized % 3-month change in the CPI (sa) Annualized % 3-month change in the CPI (sa)

    -10

    -5

    0

    5

    10

    15

    20

    Feb-08 Jun-09 Oct-10 Feb-12

    -20

    -10

    0

    10

    20

    30

    40Headline CPI (left axis)Core CPI* (left axis)Food CPI (right axis)

    -5

    0

    5

    10

    15

    Feb-08 Jun-09 Oct-10 Feb-12

    -10

    0

    10

    20

    30Headline CPI (left axis)Core CPI* (left axis)Food CPI (right axis)

    -5

    0

    5

    10

    15

    20

    25

    Feb-08 Jun-09 Oct-10 Feb-12

    -10

    0

    10

    20

    30

    40

    50Headline CPI (left axis)Core CPI* (left axis)Food CPI (right axis)

    *Index calculated by Eurostat: excludes food, energy,alcohol and tobacco.

    Source: Haver Analytics, Eurostat, Credit Suisse

    *Index calculated by Eurostat: excludes food, energy, alcoholand tobacco.

    Source: Haver Analytics, Eurostat, Credit Suisse

    *Index calculated by Credit Suisse: excludes food, alcohol,tobacco, gasoline and utilities.

    Source: Haver Analytics, Credit Suisse

    Exhibit 36: South AfricasCPI inflation Exhibit 37: Turkeys CPI inflation Exhibit 38: Israels CPI inflationAnnualized % 3-month change in the CPI (sa) Annualized % 3-month change in the CPI (sa) Annualized % 3-month change in the CPI (sa)

    -5

    0

    5

    10

    15

    20

    Jan-08 May-09 Sep-10 Jan-12

    -10

    0

    10

    20

    30

    40Headline CPI (left axis)Core CPI* (left axis)Food CPI (right axis)

    -10

    -5

    0

    5

    10

    15

    20

    25

    Feb-08 Jun-09 Oct-10 Feb-12

    -20

    -10

    0

    10

    20

    30

    40

    50Headline CPI (left axis)Core CPI* (left axis)*Food CPI (right axis)

    -10

    -5

    0

    5

    10

    15

    Jan-08 May-09 Sep-10 Jan-12

    -20

    -10

    0

    10

    20

    30Headline CPI (left axis)Core CPI* (left axis)*Food CPI (right axis)

    *Index calculated by Credit Suisse: excludes food and non-alcoholic beverages, electricity and other fuels, petrol,alcohol and tobacco.

    Source: Haver Analytics, Statistics South Africa, CreditSuisse

    *Index excluding food, energy, alcohol, tobacco and gold.

    Source: Haver Analytics, Turkstat, Credit Suisse

    *Index as calculated by Credit Suisse: excludes food,energy, alcohol and tobacco.

    Source: Haver Analytics, Central Bureau of Statistics,Credit Suisse

    Exhibit 39: Chinas CPI inflation Exhibit 40: Indias WPI inflation Exhibit 41: Koreas CPI inflationAnnualized % 3-month change in the WPI (sa) Annualized % 3-month change in the CPI (sa) Annualized % 3-month change in the CPI (sa)

    -6

    0

    6

    12

    18

    Feb-08 Jun-09 Oct-10 Feb-12

    -12

    0

    12

    24

    36Headline CPI (left axis)Core CPI* (left axis)Food CPI (right axis)

    -10

    0

    10

    20

    30

    Feb-08 Jun-09 Oct-10 Feb-12

    -15

    -5

    5

    15

    25

    35

    45Headline WPI (left axis)Core WPI* (left axis)Mfg ex-food WPI** (left axis)Food WPI (right axis)

    -6

    0

    6

    12

    18

    Feb-08 Jun-09 Oct-10 Feb-12

    -12

    0

    12

    24

    36Headline CPI (left axis)Core CPI* (left axis)Food CPI (right axis)

    *Index as calculated by Credit Suisse: excludes food andenergy.

    Source: Haver Analytics, National Bureau of Statistics,Credit Suisse

    *Index calculated by Credit Suisse: based on the WPIexcluding primary food articles, manufactured food products,fuel and power, beverages and tobacco.**Index calculated by Credit Suisse: based on the mfg WPIexcluding manufactured food products.

    Source: Haver Analytics, Credit Suisse

    *Index calculated by Credit Suisse: excludes food and non-alcoholic beverages, alcohol and tobacco, electricity, gasand other fuels and fuels for transport equipment.

    Source: Haver Analytics, National Statistical Office, CreditSuisse

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    Exhibit 42: Emerging markets headline inflation

    % year-on-year change in the CPI indices (WPI for India).

    Q4 2009 Q1 2010 Q2 2010 Q3 2010 Q4 2010 Q1 2011 Q2 2011 Q3 2011 Q4 2011 Dec 11 Jan 11 Feb 11

    Latin America* 5.7 6.6 7.2 7.1 7.8 7.9 7.9 8.6 8.6 8.7 8.4 8.3

    Argentina** 16.1 19.4 21.4 23.0 23.7 21.8 21.4 21.620.9 21.2 20.7 21.4

    Brazil 4.2 4.9 5.1 4.6 5.6 6.1 6.6 7.1 6.7 6.5 6.2 5.8

    Chile -1.9 -0.3 1.2 2.2 2.5 2.9 3.3 3.1 4.0 4.4 4.2 4.4

    Colombia 2.4 2.0 2.1 2.3 2.7 3.3 3.0 3.5 3.9 3.7 3.6 3.6

    Mexico 4.0 4.8 4.0 3.7 4.2 3.5 3.3 3.4 3.5 3.8 4.0 3.9

    Panama 1.3 2.9 2.9 3.7 4.4 5.1 6.4 5.6 6.4 6.3 6.1 6.4

    Peru 0.4 0.7 1.1 2.2 2.1 2.4 3.1 3.5 4.5 4.7 4.2 4.2

    Venezuela 26.0 25.1 31.0 29.3 27.2 28.2 23.1 25.8 27.4 27.6 26.0 25.3

    EMEA* 7.2 7.1 6.2 6.1 6.8 6.9 7.4 6.6 6.6 6.6 5.9 5.8

    Czech Republic 0.4 0.7 1.2 1.9 2.1 1.7 1.8 1.8 2.4 2.4 3.5 3.7

    Egypt 13.1 12.8 10.3 10.7 10.6 11.3 11.9 9.0 8.5 9.5 8.6 9.2

    Hungary 5.2 6.0 5.3 3.8 4.3 4.2 4.0 3.4 4.1 4.1 5.5 5.9Israel 3.6 3.5 2.9 2.0 2.4 4.0 4.1 3.2 2.5 2.2 2.0 na

    Kazakhstan 6.0 7.3 7.0 6.6 7.5 8.5 8.3 8.9 7.8 7.4 5.9 4.7

    Nigeria 12.7 14.9 14.0 13.4 12.6 12.0 11.3 9.7 10.5 10.3 12.6 na

    Poland 3.3 3.0 2.3 2.2 2.9 3.8 4.6 4.1 4.6 4.6 4.1 4.3

    Romania 4.6 4.6 4.4 7.5 7.9 7.6 8.2 4.2 3.4 3.1 2.7 2.6

    Russia 9.2 7.2 5.9 6.2 8.1 9.5 9.5 8.1 6.7 6.1 4.2 3.7

    South Africa 6.0 5.7 4.5 3.5 3.5 3.8 4.6 5.4 6.1 6.1 6.3 na

    Turkey 5.7 9.3 9.2 8.4 7.4 4.3 5.9 6.4 9.2 10.4 10.6 10.4

    Ukraine 13.3 11.2 8.3 8.5 9.5 7.7 10.8 8.4 5.0 4.6 3.7 3.0

    EM Asia* 1.4 3.4 4.0 4.2 5.0 5.6 6.1 6.4 5.3 4.7 4.7 3.9

    EM Asia ex- China and India* 1.6 3.0 3.1 3.4 3.8 4.4 4.7 4.8 4.4 4.3 4.1 3.6

    China 0.7 2.2 2.9 3.5 4.7 5.1 5.7 6.3 4.6 4.1 4.5 3.2

    Hong Kong 1.6 2.1 2.8 1.6 2.7 3.8 5.2 6.4 5.7 5.7 6.1 na

    India 4.5 9.6 10.5 9.3 8.9 9.6 9.6 9.7 8.9 7.5 6.6 7.0

    Indonesia 2.6 3.7 4.4 6.2 6.3 6.8 5.9 4.7 4.1 3.8 3.7 3.6

    Korea 2.4 3.0 2.6 2.9 3.2 3.8 4.0 4.3 4.0 4.2 3.4 3.1

    Malaysia -0.2 1.4 1.7 1.9 2.0 2.8 3.3 3.4 3.2 3.0 2.7 na

    Philippines 2.9 4.3 4.3 4.2 3.6 4.5 5.0 4.9 4.7 4.2 4.0 2.7

    Singapore -0.8 0.9 3.1 3.4 4.0 5.2 4.7 5.5 5.5 5.5 4.8 na

    Taiwan -1.3 1.3 1.1 0.4 1.1 1.3 1.6 1.3 1.4 2.0 2.4 0.3

    Thailand 1.9 3.7 3.2 3.3 2.9 3.0 4.1 4.1 4.0 3.5 3.4 3.3

    Vietnam 5.2 9.5 9.9 9.4 11.2 12.8 19.4 22.5 19.8 18.1 17.3 16.4

    EM* 3.6 4.9 5.2 5.3 6.0 6.4 6.8 7.0 6.3 6.0 5.9 5.4

    EM ex- China and India* 5.1 5.8 5.7 5.7 6.3 6.6 6.9 6.8 6.7 6.7 6.3 6.1

    *The regional aggregates are calculated by weighting each countrys inflation data by 2010 nominal GDP.**For Argentina we use unofficial headline CPI data supplied by Haver Analytics.

    Source: Haver Analytics, Credit Suisse

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    Exhibit 43: Emerging markets core inflation% year-on-year change in the CPI indices (WPI for India) excluding food, energy, alcohol and tobacco.

    Q4 2009 Q1 2010 Q2 2010 Q3 2010 Q4 2010 Q1 2011 Q2 2011 Q3 2011 Q4 20101 Dec 11 Jan 12 Feb 12

    Latin America* 5.3 5.6 5.7 5.9 5.8 6.0 5.9 6.3 6.7 6.7 6.3 6.0

    Brazil 4.6 4.8 4.7 5.0 4.9 5.4 5.6 6.1 6.4 6.4 5.9 5.5

    Chile -1.3 -1.3 -0.2 1.6 2.0 2.2 2.4 2.1 2.9 3.3 3.2 3.5

    Mexico 3.9 4.3 4.1 3.9 3.8 3.0 2.3 2.2 2.3 2.4 2.4 2.3

    Peru 0.7 0.9 0.9 1.1 1.3 1.9 2.1 2.5 2.7 2.7 2.4 2.4

    Venezuela 27.6 27.0 27.8 26.3 24.8 25.4 23.6 24.7 25.3 25.4 24.2 22.9

    EMEA* 6.4 4.7 3.9 3.4 3.1 3.5 4.0 4.5 5.0 5.1 5.3 5.1

    Czech Republic 0.3 -0.2 0.0 0.1 0.0 -0.3 -0.3 -0.2 0.3 0.5 1.5 1.8

    Hungary 5.2 5.0 4.0 1.6 1.5 1.4 1.7 1.7 2.2 2.2 3.5 3.9

    Israel 4.1 3.5 3.2 2.3 2.1 3.3 3.2 2.9 2.6 2.2 1.9 na

    Kazakhstan 9.8 9.1 7.7 6.8 6.5 6.2 5.7 5.9 5.1 5.5 5.0 3.8Poland 2.7 2.2 1.2 0.9 0.9 1.3 1.9 2.1 2.8 3.2 2.8 2.8

    Romania 5.4 2.6 3.0 4.8 4.7 4.6 3.7 2.5 2.6 2.8 2.9 2.9

    Russia 10.1 6.2 4.5 4.1 4.1 4.6 5.2 5.8 5.9 5.9 6.1 5.9

    South Africa 6.2 5.0 3.8 3.0 3.0 2.7 3.1 3.6 3.6 3.7 4.2 na

    Turkey** 4.0 4.4 5.3 4.1 2.7 3.6 4.8 6.2 8.0 8.1 8.4 8.1

    EM Asia* 0.1 1.3 2.0 2.1 2.6 3.4 3.5 3.6 3.0 2.7 2.6 2.2

    EM Asia ex- China and India* 1.0 1.2 1.5 1.7 1.9 2.2 2.5 2.8 2.7 2.7 2.7 2.3

    China*** -0.6 0.3 0.9 1.1 1.5 2.2 2.4 2.4 1.9 1.6 1.6 1.4

    Hong Kong 1.0 0.2 0.9 -0.6 1.7 3.0 4.1 6.8 5.6 5.7 6.1 na

    India 1.8 5.3 7.2 6.9 8.2 9.4 8.9 8.7 7.4 6.6 5.8 5.0

    Indonesia**** 4.4 4.0 3.8 4.1 4.3 4.3 4.6 4.9 4.4 4.3 4.3 4.3

    Korea 2.3 2.3 1.9 1.9 1.7 2.2 2.7 2.7 2.8 2.9 2.6 2.5

    Philippines*** 2.8 3.5 3.9 4.0 3.4 3.5 3.6 3.5 3.7 3.4 3.4 na

    Singapore 0.3 0.5 2.4 3.3 4.7 5.9 4.9 5.8 5.5 5.6 4.6 na

    Taiwan -1.2 -0.3 0.0 0.5 0.6 0.6 0.8 0.7 0.7 0.5 1.6 -0.8

    Thailand -0.9 -0.3 0.7 1.1 1.0 0.8 0.5 0.5 0.5 0.5 0.5 0.4

    EM* 2.6 2.9 3.2 3.2 3.4 4.0 4.1 4.4 4.3 4.1 4.0 3.7

    EM ex- China and India* 4.7 4.2 4.0 3.9 3.8 4.1 4.4 4.8 5.1 5.2 5.1 4.8

    *The regional aggregates are calculated by weighting each countrys inflation data by 2010 nominal GDP.**Official core excluding energy, food, beverages, tobacco and gold.***Core inflation measured by CPI exc. food and energy.****Official core inflation measured by CPI exc. food (volatile good) and energy, fuel, transportation and water supply (administered commodities).

    Source: Haver Analytics, National authorities, Credit Suisse

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    EM currencies: responding to a pickup in global risk appetiteMost EM currencies weakened against the dollar in the second half of last year during thebouts of global stock market weakness. But most have recovered strongly so far this year.

    Generalized additional strengthening of the EM currencies against the dollar will probablyrequire continued softening of global market concerns about the fate of the euro zone andcomfort that global oil prices do not rocket up from the current levels and hinder the

    incipient global growth recovery. We think some further EM currency appreciation is likely.But it will be important for currency investors to think carefully about the choice of fundingcurrency for EM FX positions given the risk that the dollar will continue to strengthenagainst the euro and the yen in response to the (relative) buoyancy of US growth data.

    The latest results from our currency valuation model are shown below in Exhibit 44. Themodel doesnt necessarily work well as a short-term trading guide, but it takes into accounteach countrys long-term relationship between the real effective exchange rate and thefollowing variables: productivity growth, terms of trade changes and real interest ratelevels (see Valuation of emerging markets currencies, Credit Suisse, 14 January 20113).

    The currencies that currently appear particularly cheap relative to the model estimates offair value are those of Ukraine, Poland, Kazakhstan, Chile, Peru and six countries innon-Japan Asia: India, Taiwan, China, Hong Kong, Korea and Malaysia.

    The currencies that look expensive relative to the models fair value estimates are thoseof Colombia, Brazil and the Czech Republic.

    Exhibit 44: Deviation of 12 March 2012 REERs from the fair-value estimates*Number of standard deviations

    -3

    -2

    -1

    0

    1

    2

    3

    Colombia

    CzechRep.

    Brazil

    Singapore

    Egypt

    Philippines

    Venezuela

    Turkey

    Argentina

    Indonesia

    Russia

    Thailand

    S.Africa

    Israel

    Romania

    Mexico

    S.Arabia

    Hungary

    Chile

    Malaysia

    Kazakhstan

    Korea

    HongKong

    Taiwan

    China

    Peru

    Poland

    Ukraine

    India

    REER is more than one standard deviation stronger than the "fair value" REER

    REER is within (+/-) one standard deviation of the "fair value" REER

    REER is more than one standard deviation weaker than the "fair value" REER

    * January 2012 REER was used for Israel and Peru. ** Argentinas REER for the period starting from January 2005 was estimated using unofficial inflation data supplied by Haver Analytics.

    Source: Credit Suisse

    A simpler and less adequate valuation model is one that focuses exclusively on the real(i.e., inflation-adjusted) effective (i.e., trade-weighted) exchange rate (REER). A possible

    valuation guide from this model comes from a comparison of the current REER level with

    the average REER level in the past five years. This comparison is shown in the fourth

    column of Exhibit 45 below. At this stage only a short list of EM countries has currencies

    in REER terms remain more than 3% cheap to the levels that prevailed in mid-2011,

    includes Hungary, Brazil, Israel, Mexico, Poland, and India.

    3 The model's estimated coefficients were recalibrated in June 2011 by incorporating 2010 data into the sample.

    Signs of life in the EM

    currencies in the early

    months of 2012

    http://doc.research-and-analytics.csfb.com/docView?language=ENG&format=PDF&document_id=868383151&source_id=em&serialid=iXsC4IH%2b7GFcH%2fLMGJs7U2uhJN9ipyNfiCwC%2bYrCvHk%3dhttp://doc.research-and-analytics.csfb.com/docView?language=ENG&format=PDF&document_id=868383151&source_id=em&serialid=iXsC4IH%2b7GFcH%2fLMGJs7U2uhJN9ipyNfiCwC%2bYrCvHk%3d
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    Exhibit 45: Percentage change in the real effective exchange rate*

    Real effective exchange rate appreciation is represented in this table by a positive percentage change

    12 March 2012

    % chg 12 Mar2012 over 13

    Feb 2012

    % chg 12 Mar2012 over 14

    Mar 2011

    % chg 12 Mar2012 over 1yr

    average

    % chg 12 Mar2012 over 5yr

    average

    % chg 12 Mar2012 over 10yr

    average

    % chg 12 Mar2012 over 20yr

    average1 month chg 1 year chg

    Argentina** 0.5 10.7 -21.6 -10.4 -14.4 -35.9

    Brazil -5.0 -4.9 -1.9 13.1 34.7 25.9

    Chile 0.2 1.6 2.9 6.2 11.1 9.0

    China 0.4 5.9 6.3 12.4 16.2 23.1

    Colombia 1.3 8.6 5.1 19.7 32.1 30.8

    Czech Republic 1.4 -1.7 0.3 5.5 15.9 38.7

    Egypt 0.8 6.7 1.8 20.1 25.1 34.7

    Hong Kong 0.8 0.7 -1.8 -6.3 -14.9 -21.4

    Hungary -1.1 -7.5 -5.6 -5.4 -1.6 11.8

    India -1.0 -5.0 -5.1 6.5 10.6 15.9

    Indonesia -0.2 -1.9 -1.8 5.5 14.3 11.2

    Kazakhstan 0.4 5.8 4.2 5.8 12.3 32.0

    Korea 0.8 1.2 0.5 -9.8 -9.7 -11.8

    Malaysia 1.0 0.5 0.9 3.4 3.1 -3.2

    Mexico 0.6 -4.2 0.2 -1.1 -5.5 -1.6

    Nigeria 1.5 3.7 4.6 10.5 23.3 35.1

    Philippines 0.6 3.0 3.1 6.4 16.7 13.3

    Poland 1.5 -2.0 -2.2 -3.5 -1.4 9.8

    Romania 0.0 -4.1 -1.2 -6.1 2.0 18.5

    Russia 1.8 2.4 7.0 15.0 29.8 66.6

    Saudi Arabia 1.4 5.5 1.8 6.4 1.8 -2.7

    Singapore 0.4 3.0 6.7 12.4 14.1 11.0

    South Africa 2.8 -5.3 -2.5 7.2 5.8 -5.0

    Taiwan 1.1 -1.4 -0.2 -3.4 -8.8 -18.2

    Thailand 1.8 0.0 -0.2 1.6 9.5 5.0

    Turkey -1.2 -3.0 -10.7 -5.7 4.0 17.6

    Ukraine 0.8 5.3 0.3 -3.9 -3.7 6.3

    United Kingdom -0.2 1.6 2.1 -8.0 -13.6 -14.6

    United States 0.6 1.7 -3.3 -6.7 -12.9 -12.0

    Euro 0.0 -3.6 -3.0 -7.8 -6.0 -8.8

    Japan -5.4 -3.4 -3.5 5.0 -1.4 -10.2

    *Inflation-adjusted, trade-weighted exchange rate; figures in bold are more than one standard deviation from the average REER change acrossthe included countries** Argentinas REER for the period starting from January 2005 was estimated using unofficial inflation data supplied by Haver Analytics

    Source: Credit Suisse

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    Exhibit 46: Argentinas REER* Exhibit 47: Brazils REER* Exhibit 48: Chiles REER*1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation

    70

    90

    110

    130

    150

    170

    190

    210

    Feb-97 Feb-02 Feb-07 Feb-12

    70

    90

    110

    130

    150

    170

    190

    210

    40

    50

    60

    70

    80

    90

    100

    110

    12Mar97 12Mar02 12Mar07 12Mar12

    40

    50

    60

    70

    80

    90

    100

    110

    90

    100

    110

    120

    130

    140

    12Mar97 12Mar02 12Mar07 12Mar12

    90

    100

    110

    120

    130

    140

    * Argentinas REER for the period starting from January 2005was estimated using unofficial inflation data supplied by HaverAnalytics

    Source: Haver Analytics, Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    Exhibit 49: Chinas REER* Exhibit 50: Colombias REER* Exhibit 51: Czech REER*

    1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation

    80

    85

    90

    95

    100

    105

    110

    12Mar97 12Mar02 12Mar07 12Mar12

    80

    85

    90

    95

    100

    105

    110

    85

    95

    105

    115

    125

    135

    145

    12Mar97 12Mar02 12Mar07 12Mar12

    85

    95

    105

    115

    125

    135

    145

    100

    115

    130

    145

    160

    175

    190

    12Mar97 12Mar02 12Mar07 12Mar12

    100

    115

    130

    145

    160

    175

    190

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    Exhibit 52: Egypts REER* Exhibit 53: Hong Kongs REER* Exhibit 54: Hungarys REER*1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation

    7080

    90

    100

    110

    120

    130

    140

    150

    12Mar97 12Mar02 12Mar07 12Mar12

    7080

    90

    100

    110

    120

    130

    140

    150

    90

    100

    110

    120

    130

    140

    150

    160

    12Mar97 12Mar02 12Mar07 12Mar12

    90

    100

    110

    120

    130

    140

    150

    160

    110

    125

    140

    155

    170

    185

    200

    12Mar97 12Mar02 12Mar07 12Mar12

    110

    125

    140

    155

    170

    185

    200

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

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    Exhibit 55: Indias REER* Exhibit 56: Indonesias REER* Exhibit 57: Kazakhstans REER*1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation

    60

    70

    80

    90

    100

    12Mar97 12Mar02 12Mar07 12Mar12

    60

    70

    80

    90

    100

    20

    35

    50

    65

    80

    95

    110

    12Mar97 12Mar02 12Mar07 12Mar12

    20

    35

    50

    65

    80

    95

    110

    130

    152

    174

    196

    218

    240

    12Mar97 12Mar02 12Mar07 12Mar12

    130

    152

    174

    196

    218

    240

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    Exhibit 58: Koreas REER* Exhibit 59: Malaysias REER* Exhibit 60: Mexicos REER*1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation

    50

    60

    70

    80

    90

    100

    110

    12Mar97 12Mar02 12Mar07 12Mar12

    50

    60

    70

    80

    90

    100

    110

    65

    75

    85

    95

    105

    12Mar97 12Mar02 12Mar07 12Mar12

    65

    75

    85

    95

    105

    85

    100

    115

    130

    145

    12Mar97 12Mar02 12Mar07 12Mar12

    85

    100

    115

    130

    145

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    Exhibit 61: Nigerias REER* Exhibit 62: Philippines REER* Exhibit 63: Polands REER*1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation

    50

    70

    90

    110

    130

    12Mar97 12Mar02 12Mar07 12Mar1250

    70

    90

    110

    130

    85

    95

    105

    115

    125

    135

    12Mar97 12Mar02 12Mar07 12Mar1285

    95

    105

    115

    125

    135

    190

    212

    234

    256

    278

    300

    12Mar97 12Mar02 12Mar07 12Mar12190

    212

    234

    256

    278

    300

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

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    Exhibit 64: Romanias REER* Exhibit 65: Russias REER* Exhibit 66: Saudi Arabias REER*1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation

    50

    70

    90

    110

    130

    12Mar97 12Mar02 12Mar07 12Mar12

    50

    70

    90

    110

    130

    80

    100

    120

    140

    160

    180

    200

    220

    12Mar97 12Mar02 12Mar07 12Mar12

    80

    100

    120

    140

    160

    180

    200

    220

    75

    80

    85

    90

    95

    100

    105

    110

    12Mar97 12Mar02 12Mar07 12Mar12

    75

    80

    85

    90

    95

    100

    105

    110

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    Exhibit 67: Singapores REER* Exhibit 68: South Africas REER* Exhibit 69: Taiwans REER*1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation

    96

    100

    104

    108

    112

    116

    120

    12Mar97 12Mar02 12Mar07 12Mar12

    96

    100

    104

    108

    112

    116

    120

    50

    60

    70

    80

    90

    100

    110

    12Mar97 12Mar02 12Mar07 12Mar12

    50

    60

    70

    80

    90

    100

    110

    64

    68

    72

    76

    80

    84

    88

    92

    12Mar97 12Mar02 12Mar07 12Mar12

    64

    68

    72

    76

    80

    84

    88

    92

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    Exhibit 70: Thailands REER* Exhibit 71: Turkeys REER* Exhibit 72: Ukraines REER*1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation

    60

    70

    80

    90

    100

    110

    120

    12Mar97 12Mar02 12Mar07 12Mar1260

    70

    80

    90

    100

    110

    120

    80

    97

    114

    131

    148

    165

    12Mar97 12Mar02 12Mar07 12Mar1280

    97

    114

    131

    148

    165

    90

    112

    134

    156

    178

    200

    12Mar97 12Mar02 12Mar07 12Mar1290

    112

    134

    156

    178

    200

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

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    Exhibit 73: United Kingdoms REER* Exhibit 74: United States REER* Exhibit 75: Euro zones REER*1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation 1990=100; an up-move indicates real appreciation

    70

    75

    80

    85

    9095

    100

    105

    110

    12Mar97 12Mar02 12Mar07 12Mar12

    70

    75

    80

    85

    9095

    100

    105

    110

    85

    90

    95

    100

    105

    110

    115

    120

    12Mar97 12Mar02 12Mar07 12Mar12

    85

    90

    95

    100

    105

    110

    115

    120

    68

    72

    76

    80

    84

    88

    92

    96

    12Mar97 12Mar02 12Mar07 12Mar12

    68

    72

    76

    80

    84

    88

    92

    96

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

    Exhibit 76: Japans REER*1990=100; an up-move indicates real appreciation

    78

    88

    98

    108

    118

    128

    138

    12Mar97 12Mar02 12Mar07 12Mar12

    78

    88

    98

    108

    118

    128

    138

    *Inflation-adjusted, trade-weighted data

    Source: Credit Suisse

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    Latin America

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    Argentina: More interventionism, less growth The governments interventionism in the economy has increased significantly

    over the past quarter. Three months ago, when President Cristina Kirchner was sworn

    in for a new term, she signaled a moderation in policy, referring to a fine-tuning of the

    model. We still think that her government is committed to some of the initiatives that it

    announced late last year, such as the reduction of the fiscal deficit (by lowering the

    subsidy bill) and the moderation of wage inflation. However, the government is also

    implementing a number of less desirable measures, in our view, aimed at fostering

    domestic production and investment: import controls, quasi-restrictions on the payment

    of dividends by corporations and banks, and rhetorical attacks and political pressure

    against the repatriation of profits by foreign-owned companies.

    We think that the governments efforts to influence domestic economic activity

    may backfire and, thus, we are now less optimistic about the growth outlook.

    Unsurprisingly, some of the recent measures are already having negative

    consequences. For example, there is anecdotal evidence of shortages of and/or higher

    prices for a number of consumer products (which may also be dampening consumer

    sentiment) and for intermediate and capital goods imports (which are disrupting the

    chain of production). Business sentiment likely weakened in the past few weeks on

    persistent speculation about a takeover by the federal government of one of the foreign-owned oil companies operating in Argentina. Regional political allies of the Kirchner

    government are also putting pressure on foreign companies to invest more, particularly

    in the oil and gas sector. The government seems to think that its measures and political

    pressure will result in higher investment by the private sector. However, we see the risk

    of the opposite: that all these maneuvers will discourage the large investments that

    Argentina needs to sustain high GDP growth rates over the medium term.

    We still expect the national accounts to show real GDP growth of 5% in 2012, but

    the actual expansion of the economy is likely to be lower. Three months ago, we

    thought that true real GDP growth would be in line with the official reading, and we saw

    upside risk to our growth projection. We now think that true real GDP growth in 2012

    will be 3%, or at most 4%. We are more pessimistic about the growth outlook not only

    because of the growing interventionism but also because this years cereal and grainsharvest will be smaller than expected (because of the late 2011/early 2012 drought) and

    economic activity in Brazil (Argentinas main trading partner) will be weaker. However,

    we do not expect true GDP growth below 3% because fiscal and, particularly, monetary

    policy remains expansionary and could be loosened further if needed to stimulate

    economic activity. In our base case scenario for GDP growth in 2012 as reported in the

    national accounts, we see consumer spending rising 6% and gross fixed investment

    expanding 8% (down from 11% and 17%, respectively, in 2011).

    The issues with the Argentine macro data will likely remain unresolved for the

    foreseeable future. We do not expect the government to deal, in a meaningful way,

    with the underreporting of inflation because of the high political, financial and legal costs

    that might arise from formally acknowledging that inflation is much higher than is

    officially reported. Similarly, we do not think the government will acknowledge asignificant slowdown of GDP growth in 2012, even if that could save it from making the

    payment on the GDP warrant in 2013. In a context where other economies in the region

    are growing at a relatively decent pace, despite the slowdown in the developed

    economies, we do not think the Kirchner government would be willing to pay the political

    price of admitting that, on her watch, Argentina underperformed the region, while the

    financial benefit of this admission would not materialize until December 2013.

    Carola Sandy

    +1 212 325 2471

    [email protected]

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    We still think the government wants to see a moderation of consumer and wageinflation in the months ahead. Last year, we thought that the government would resortto tighter fiscal and monetary policy to drive CPI inflation (as measured by the privatesector) down to 15%-20% from the current level of about 20%-25%. However, monetarypolicy is now as loose as it was in mid-2011, as nominal interest rates have fallen againwhile inflation has remained stable. Given the proposed changes to the central bankscharter, which should receive full congressional approval by early April, monetary policy

    may play an ever larger role in the economy and, thus, we do not envision tightermonetary conditions in the foreseeable future. Tighter fiscal policy and the governmentsefforts to cap wage increases at about 20% in the upcoming wage negotiations, alongwith the expected slowdown in domestic demand, may help prevent inflation from risingfurther but, at this point, we no longer expect it to decline.

    We still expect the federal government to post a primary fiscal surplus of about2% of GDP in 2012, consistent with a nearly balanced budget. In 2011, the federalgovernment posted a 1.7% of GDP overall fiscal deficit as the electoral processpressured primary spending. We think that the government wants to maintain the so-called pillars of its model large fiscal and trade surpluses, the accumulation ofinternational reserves and a relatively weak real exchange rate and, thus, it iscommitted to posting a primary surplus in line with the 2.5% of GDP assumption of the2012 budget bill. The bulk of the fiscal adjustment in 2012 should come from a reductionof the subsidy bill, which exceeded 5% of GDP last year.

    The restrictions on imports will probably be only partially effective in preventing asharp deterioration of the trade surplus. We project that the merchandise tradesurplus, on an FOB/FOB basis, will fall to $10bn in 2012 from about $13.7bn in 2011 (onan FOB/CIF basis, this would be equivalent to $6bn in 2012, down from $10bn in 2011).Our projection assumes that agricultural commodity prices remain flat in 2012 whilevolumes fall 5%. We think that industrial exports will continue to grow, albeit at a moremodest pace, and expect that the dollar value of exports in 2012 will be flat relative to2011. Due to the restrictions in place and the expected slowdown in domestic activity,import growth should slow to about 6% in dollar terms in 2012, down from 31% in 2011.We project a worsening of the current account to a deficit of 0.2% of GDP in 2012 froman estimated 0.4% of GDP surplus in 2011.

    In the coming months, the government may seek to normalize relations withofficial and some private creditors. We still think that the government will seek aresolution of the countrys debt arrears with the Paris Club. We expect that thegovernment and its bilateral creditors will manage to narrow the gap between therescheduling terms proposed by Argentina and the Paris Club (the debt in arrearsamounts to about $9bn) and think there is a good chance that an accord will beannounced later this year, which may unlock bilateral financing. We also think thegovernment may try to settle the awards granted by the ICSID, as the non-payment ofthese claims could result in the US suspending trade benefits for Argentina under theGeneralized System of Preferences program. We do not expect the government to tapthe external bond markets in 2012 or to negotiate with holdout bondholders.

    The government will likely maintain its FX policy of allowing only a gradual

    nominal depreciation. We believe it will continue to use the nominal exchange rate asa nominal anchor of inflation, even if it is not an very effective one. We think thegovernment believes that a sharp depreciation of the peso in nominal terms wouldtranslate into higher inflation, a drop in domestic sentiment and capital flight. As long asthe Brazilian Real does not weaken sharply, the government is probably not tooconcerned about the erosion of competitiveness and growth. We expect the nominalexchange rate to end 2012 at 4.55 pesos per dollar. With the central banks FX reservesbeing used to service a large share of the debt, and as there may no longer be theabundance of dollars in the economy that was generated by the large current accountsurpluses of previous years, we expect the central banks gross stock of FX reserves toremain stable over the next two years, relative to its end-2011 level of $46.5bn.

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    Exhibit 77: Agricultural production Exhibit 78: Industrial productionMillions of tons; projections as of 9 March 2012 1993 = 100, seasonally adjusted

    -10

    10

    30

    50

    70

    90

    110

    99/00

    00/01

    01/02

    02/03

    03/04

    04/05

    05/06

    06/07

    07/08

    08/09

    09/10

    10/11E

    11/12F

    OtherSun-flower s eedWheatCornSoy

    80

    90

    100

    110

    120

    130

    140

    150

    160

    170

    Jan-94 Jan-00 Jan-06 Jan-12

    The 2011/2012 harvest will

    likely be about 5% smaller

    than the previous years and,

    thus, the agricultural sector

    will no longer be one of the

    drivers of growth.

    In our view, whether industrialproduction stabilizes at current

    levels or declines hinges not

    only on the outlook for global

    growth and domestic demand,

    but also on whether the

    government eases some of

    the restrictions that are

    creating distortions in the

    economy. Source: USDA, Credit Suisse Source: Fiel, Credit Suisse

    Exhibit 79: Consumer confidence

    Exhibit 80: Bank lending to the private

    sectorIncrease = more optimism % change yoy in nominal terms, 20-day moving average

    20

    30

    40

    50

    60

    Jun-01 Feb-04 Oct-06 Jun-09 Feb-12

    -5

    5

    15

    25

    35

    45

    55

    65

    75

    Mar-06 Mar-07 Mar-08 Mar-09 Mar-10 Mar-11 Mar-12

    Consumer loansCollateralized consumer loans *Commercial loans

    Consumer confidence

    remains relatively high,which bodes well for the

    near-term outlook for

    consumer spending. Real

    interest rates are again very

    negative, which keeps

    consumer loans growing at

    a fast pace.

    Meanwhile, despite the

    governments efforts to

    encourage bank lending for

    productive activities, the

    growth of commercial loanshas collapsed in recent

    weeks.Source: Universidad Torcuato Di Tella, Credit Suisse *Includes mortgage loans

    Source: Central bank, Credit Suisse

    Exhibit 81: Real GDP growthExhibit 82: Federal government fiscalbalance

    Contributions to real GDP growth in percentage points % of GDP

    -3

    0

    3

    6

    9

    12

    03 04 05 06 07 08 09 10 11F 12F

    InvestmentPrivate cons umptionGovernment spendingNet exportsGDP growth

    -1.5

    -0.5

    0.5

    1.5

    2.5

    3.5

    04 05 06 07 08 09 10 11 12F

    Primary fiscal balance

    Overall fiscal balance

    Domestic demand should

    continue growing in 2012,

    but its expansion will likely

    be lower than the level

    reported in the official

    statistics.We expect that the bulk of

    this years projected fiscal

    adjustment will come from a

    reduction in the subsidy bill,

    which exceeded 5% of GDP

    in 2011.

    Source: INDEC, Credit Suisse Source: Ministry of Finance, Credit Suisse

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    Exhibit 83: Consumer and wageinflation

    Exhibit 84: Nominal exchange rate andcentral bank intervention in the FX market

    % change year on year

    0

    5

    10

    15

    20

    25

    30

    Feb-07 May-08 Aug-09 Nov-10 Feb-12

    Privately estimated CPIinflation

    Consumers' expectations for12 month inflation

    Wage inflation*

    -4

    -3

    -2

    -1

    0

    1

    2

    Sep-09 Mar-10 Sep-10 Mar-11 Sep-11 Mar-12

    2.9

    3.1

    3.3

    3.5

    3.7

    3.9

    4.1

    4.3

    4.5

    Central bank's monthly net FX

    purchases ($bn, left axis)*

    Nomina l exchange rate (ARS

    per USD, right axis)

    We no longer expect

    inflation, as measured by

    private sources, to decline

    from its current 20%-25%

    range in the foreseeable

    future.

    We expect the government

    to continue with its policy of

    allowing only a gradual

    depreciation of the peso in

    nominal terms. For the past

    several weeks, the central

    bank has again been a net

    buyer of dollars in the FX

    market.

    *Average of private and public sector wages.Source: Universidad Torcuato Di Tella, Credit Suisse

    Source: Central bank, Credit Suisse

    Exhibit 85: REER Exhibit 86: Export and import growthIncrease = appreciation % change year on year

    60

    80

    100

    120

    140

    160

    180

    200

    220

    Oct-01 May-04 Dec-06 Jul-09 Feb-12

    REER using the official

    inflation data

    REER using privately

    estimated inflation

    data

    -40

    -20

    0

    20

    40

    Q4 2007 Q4 2008 Q4 2009 Q4 2010 Q4 2012

    Export volume

    Export prices

    Import value

    Export and import growth

    are likely to fall significantly

    in 2012. The former on the

    back of a smaller harvest,

    stable prices for cereals and

    grains, and a less

    competitive exchange rate,

    and the latter due to the

    broad import restrictions

    that the government has put

    in place.

    Source: Credit Suisse Source: INDEC, Credit Suisse

    Exhibit 87: Foreign exchange cash flowsExhibit 88: Central banks stock ofinternational reserves

    $ bn $ bn, as of 29 February 2012

    -16

    -12

    -8

    -4

    0

    4

    8

    2Q07

    3Q07

    4Q07

    1Q08

    2Q08

    3Q08

    4Q08

    1Q09

    2Q09

    3Q09

    4Q09

    1Q10

    2Q10

    3Q10

    4Q10

    1Q11

    2Q11

    3Q11

    4Q11

    Current accountNet FDIIFI loans ex. IMFFinancial sector and otherPublic s ector ex. IFI loansNon-financial private sector

    25

    30

    35

    40

    45

    50

    55

    Feb-07 Feb-08 Feb-09 Feb-10 Feb-11 Feb-12

    GrossNet of

    borrowing from

    bilateral lenders

    Net of borrow ing from bilateral lenders,

    net of r eserve req. on USD deposits

    Capital flight slowed in Q4

    2011 and, based on

    preliminary data, it has

    declined further in the year

    to date. However, domestic

    sentiment regarding the

    peso remains fragile.

    Source: Central bank, Credit Suisse Source: Central bank, Credit Suisse

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    Argentina: Selected economic indicators

    2005 2006 2007 2008 2009 2010 2011E 2012F 2013F

    National accounts, population and unemployment

    Real GDP growth (%) 9.2 8.5 8.7 6.8 0.9 9.2 9.1 5.0 4.5

    Growth in real private consumption (%) 8.9 7.8 9.0 6.5 0.5 9.0 11.0 6.0 4.8

    Growth in real fixed investment (%) 22.7 18.2 13.6 9.1 -10.2 21.2 17.4 8.0 8.0

    Fixed investment (% of GDP) 19.8 21.6 22.6 23.1 20.6 22.8 24.6 25.3 26.1

    Nominal GDP ($bn) 181.8 212.5 260.8 326.5 307.1 368.7 436.5 472.4 512.8

    Population (mn) 38.6 39.0 39.4 39.7 40.1 40.5 40.9 41.3 41.7

    GDP per capita ($) 4,711 5,452 6,626 8,216 7,653 9,100 10,673 11,438 12,297

    Unemployment (% of labor force, end-year) (1) 10.1 8.7 7.5 7.3 8.4 7.3 6.7 6.5 6.5

    Prices, interest rates and exchange rates

    CPI inflation (%, December to December) 12.3 9.9 8.5 7.2 7.7 10.9 9.5 9.1 9.0

    CPI inflation (%, average) 9.6 10.9 8.8 8.6 6.3 10.4 9.8 9.3 9.1

    Exchange rate (ARS per USD, end-year) 3.03 3.06 3.15 3.45 3.78 3.98 4.30 4.55 4.80

    Exchange rate (ARS per USD, average) 2.93 3.08 3.12 3.16 3.73 3.91 4.13 4.45 4.71

    REER (% change, December to December) (2) 4.6 0.0 -9.0 6.8 -15.9 -3.6 2.2 0.5 0.0

    Nominal wage growth (% year-on-year change, average) (3) 20.3 18.9 22.7 22.4 16.7 26.3 29.5 24.0 20.0

    Central bank's 7 day repo rate (%, end-year) 6.00 8.30 10.30 13.00 11.50 11.50 11.50 11.50 11.50

    Fiscal data

    General government fiscal balance (% of GDP) 2.1 1.9 1.1 0.8 -1.6 0.4 -2.1 -0.6 -1.1General government primary fiscal balance (% of GDP) 4.4 4.0 3.4 2.8 0.8 2.2 0.2 1.8 1.6

    General government expenditure (% of GDP) 27.0 27.9 31.4 32.8 36.6 37.7 40.8 40.5 41.0

    Federal government primary fiscal balance (% of GDP) 3.7 3.5 3.2 3.2 1.5 1.7 0.3 2.0 1.8

    Federal government fiscal balance (% of GDP) 1.8 1.8 1.1 1.4 -0.6 0.2 -1.7 -0.1 -0.6

    Gross general government debt (% of GDP, end-year)(4) 88.5 81.6 71.1 57.4 61.7 51.2 44.4 42.8 40.7

    Net general government debt (% of GDP, end-year)(4)(5) 84.0 72.5 63.6 51.1 47.9 37.3 30.5 27.7 26.3

    Money supply and credit

    Broad money supply (M2, % of GDP) 20.2 19.5 18.4 17.7 18.3 19.5 20.3 21.3 22.2

    Broad money supply (M2, % year-on-year change) 25.1 18.4 17.1 22.6 14.5 34.5 30.0 22.0 20.0

    Domestic credit (% of GDP) 30.7 26.6 24.7 22.2 23.5 25.3 27.3 27.7 27.9

    Domestic credit (% year on year) 7.8 6.8 15.3 14.1 17.3 35.7 35.0 18.0 16.0

    Domestic credit to private sector (% of GDP) 11.7 13.0 14.5 13.7 13.5 14.6 17.2 17.7 18.1

    Domestic credit to private sector (% year on year) 32.1 37.4 37.8 20.5 9.5 36.1 46.7 20.0 18.0

    Balance of payments

    Exports (goods and non-factor services, % of GDP) 25.9 25.7 25.4 25.2 21.7 22.0 22.6 21.2 20.7

    Imports (goods and non-factor services, % of GDP) 19.2 19.3 20.5 20.8 16.1 18.4 19.8 19.3 19.0

    Exports (goods and non-factor services, % change in $ value) 18.0 16.1 21.6 23.9 -18.8 21.8 21.5 1.6 5.6

    Imports (goods and non-factor services, % change in $ value) 25.0 17.7 29.9 27.4 -27.4 37.7 27.2 5.5 6.6

    Net balance of factor income ($bn) (6) -7.3 -6.1 -5.9 -7.6 -9.0 -9.9 -10.1 -10.0 -10.3

    Current account balance ($bn) 5.3 7.8 7.4 6.8 11.1 2.9 1.5 -0.8 -1.5

    Current account (% of GDP) 2.9 3.7 2.8 2.1 3.6 0.8 0.4 -0.2 -0.3

    Net FDI ($bn) 3.5 2.8 4.7 7.7 2.8 5.5 3.3 2.2 1.7

    Scheduled debt amortization ($bn) (7) 4.7 2.4 2.5 2.3 1.7 1.7 1.6 1.7 1.6

    Foreign debt and reserves

    Foreign debt ($bn) (4) 127.7 124.4 139.5 150.6 146.2 140.6 142.9 142.3 140.7

    Public ($bn) 79.3 76.6 85.7 90.1 91.6 79.6 81.9 81.3 79.7

    Private ($bn) 48.4 47.8 53.8 60.5 54.6 61.0 61.0 61.0 61.0Foreign debt (% of GDP, end-year) 70.2 58.5 53.5 46.1 47.6 38.1 32.7 30.1 27.4

    Foreign debt (% of exports of goods and services) 271.6 227.9 210.3 183.3 219.0 173.0 144.7 141.8 132.7

    Central bank gross FX reserves ($bn) 28.1 32.0 46.2 46.4 48.0 52.2 46.4 47.0 47.5

    Central bank net FX reserves ($bn) (8) 28.1 32.0 44.6 41.5 44.4 50.9 41.0 44.0 44.0

    Central bank gross non-gold FX reserves ($bn) 27.2 30.9 44.7 44.9 46.1 49.7 43.2 43.7 44.2

    (1) Starting in 2003, people participating in the Jefes de Hogar subsidy program are counted as employed; adjusting the data by Jefes de Hogar, the unemployment rate is 2-4 points higher.(2) Increase indicates appreciation. REER was estimated using the official inflation series. (3) Weighted average of wages in the formal and informal private sector, and the public sector. (4) Debt dataassumes that Paris Club debt is rescheduled in 2012. (5) Net of Brady guarantees (through 2003), the Bogar bond, government bonds held by Central Bank and by the social security agency (ANSES),and estimated government cash holdings. (6) For the 2002-2005 period, it includes notional interest paid on defaulted debt. (7) It includes only scheduled amortizations to multilaterals. (8) Net ofborrowing from the BIS and other bilateral lenders.

    Source: INDEC, Central Bank, Ministry of Economy, Credit Suisse

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    Brazil: We expect additional Selic interest ratecuts of 125bps in Q2 2012 We expect real GDP growth of 2.5% in 2012 and 4.0% in 2013. Our forecasts are

    lower than the median market expectations of 3.3% for 2012 and 4.2% for 2013. Ourprojection for 2012 assumes acceleration in economic activity from 0.3% qoq in

    Q4 2011 to 0.8% qoq in Q1 2012 and 1.0% qoq in H2 2012. If our GDP growth forecastfor 1Q 2012 (which already assumes a significant downward bias) is correct, the marketconsensus forecast for growth in 2012 will be compatible with an average expansion of1.6% from Q2 2012 to Q4 2012. Such continuous growth was recorded in Brazil onlyfrom Q3 2006 to Q3 2008, in a scenario of very strong global growth and a significantexpansion in investments and industrial production.

    Low industrial performance and investment expansion explains why growth willresume gradually in 2012. We believe 2012 GDP growth will be lower than the 4.5%average growth from 2004 to 2010. On the supply side, we expect industrial GDP toexpand 1.9% in 2012 versus the 3.8% average from 2004 to 2010. We are assumingthat industrial expansion will not be strong in 2012. We expect much of the growth indomestic demand to be met by imports expansion. While 55% of the rise in theconsumption of goods from 2003 to 2011 was met by local industry, imports accounted

    for the total rise in consumption in 2011. Local inflation well above of that of Brazilstrading partners and the significant rise in the cost of labor in manufacturing explain thedeclining competitiveness of local industry. We expect investments to grow 5.3% in2012, higher than the 4.7% of 2011 but much less than the 9.2% average expansionfrom 2004 to 2010. Investments in machinery and equipment, which were responsiblefor an important part of the strong investment growth in the past several years, shouldcontribute much less to investment expansion in upcoming quarters.

    We keep our expectation of a low unemployment rate in 2012 and 2013. Ourprojection of GDP growth of 2.5% in 2012 and 4.0% in 2013 is compatible with thedecline in the unemployment rate measured by the Monthly Employment Survey (PME),from 6.0% on average for 2011 to 5.8% in 2012 and 5.2% in 2013. We estimate that theGDP growth rate needed to keep unemployment stable has dropped from 3.3% in 2003to 2.0% in 2011. We project that growth in real wages will increase from 2.7% in 2011 to

    3.2% in 2012 due to the continuation of low unemployment and the real increase in theminimum wage of 8.8% in 2012.

    Most of the decline in annual IPCA inflation (benchmark used for inflationtargeting) at the beginning of the year resulted from lower food prices. We expectIPCA inflation to decline from 6.5% yoy in December 2011 to 5.3% in April. A highcomparison base (inflation of 0.80% on average from January to April 2011), lowercommodity price inflation, and a few non-recurring factors (e.g., municipal elections andthe change in the weighting structure of the IPCA index) have led to lower CPI inflation.We expect IPCA inflation to decline to 5.0% by the end of 2012 as a result of thefavorable prospects for non-services inflation (composed of inflation in food at home,industrial goods, and administered prices) and a decline in services inflation (due tolower inflation in prices linked to past inflation). The main risks to our forecast come fromthe dynamics of commodity prices (and their direct impact on food prices) and fromservices inflation, which is quite persistent and reached almost 10% yoy in 2011.

    Despite the favorable outlook for consumer inflation in the short term, medianmarket expectations for IPCA inflation in the next few years increased sharply inQ1 2012. Most market participants believe IPCA inflation will not converge to the centerof the target range in the coming years. Median market expectations for IPCA inflation in2013 increased from 5.0% in December 2011 to 5.5% in March, while the marketforecast for 2014 and 2015 rose from 4.6% to 5.00% and from 4.5% to 4.8%,respectively. This jump in inflation forecasts (e.g., breakeven inflation and MarketReadout) makes it more difficult for IPCA inflation to converge to the center of the targetrange in the next few quarters.

    Nilson Teixeira

    +55 11 3841 6288

    [email protected]

    Iana Ferrao+55 11 3841 6345

    [email protected]

    Leonardo Fonseca

    +55 11 3841 6348

    [email protected]

    Daniel Lavarda

    +55 11 3841 6352

    [email protected]

    Tales Rabelo

    +55 11 3841 6353

    [email protected]

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    We expect the current easing cycle to total 400bps, with the Selic interest rate

    (policy rate) reaching 8.50% at the end of May. The Monetary Policy Committee

    (Copom) decided to cut the Selic basic interest rate by 75bps on 7 March, from 10.50%

    to 9.75%, accelerating the pace of cuts in the current easing cycle from 50bps to 75bps.

    Some market participants explain the acceleration as a way of containing local currency

    appreciation by reducing the appeal of the local fixed-income market. However, we think

    the decision to speed up the easing cycle was probably due to lower-than-expected

    consumer inflation in January and February and, mainly, to the subdued growth in Q42011 and early 2012 (e.g., Januarys industrial production). These results were much

    lower than expected by the government and most investors a few months ago. We are

    now assuming additional cuts of 75bps on 7 April and 50bps on 30 May, with the Selic

    reaching 8.50% and remaining at this level until the end of 2013. Given that we think

    growth will surprise the government on the downside, we believe the probability of a

    stronger easing cycle than we expect is not low.

    Brazils external accounts remain sound, despite uncertainty surrounding the

    global outlook. We ex