update of stats sa data and other leading indicators dr johan snyman medium-term forecasting...

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M ED IU M -TER M FO R EC A STIN G A SSO C IA TES Building Econom ists Tel:(021)883-8152 PO Box 7119 Fax:(021)887-1597 STELLENBO SC H , 7599 E-m ail: [email protected] Update of Stats SA data and other Leading Indicators Dr Johan Snyman Medium-Term Forecasting Associates STELLENBOSCH 17 March 2011

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MEDIUM-TERM FORECASTING ASSOCIATES Building Economists Tel: (021) 883-8152 PO Box 7119 Fax: (021) 887-1597 STELLENBOSCH, 7599 E-mail: [email protected]

Update of Stats SA data and other Leading Indicators

Dr Johan Snyman

Medium-Term Forecasting Associates

STELLENBOSCH

17 March 2011

The SARB leading indicator is based on 12 indicators that lead the business cycle. This composite indicator gives early warning signals of upper and lower turning points – it is currently marking time

SARB LEADING INDICATOR OVERALL ECONOMY

0

10

20

30

40

50

60

70

80

90

100

110

120

130

140

| 62 | 65 | 68 | 71 | 74 | 77 | 80 | 83 | 86 | 89 | 92 | 95 | 98 | 01 | 04 | 07 | 10 | 13

Source: SARB; MFA DATABASE (Economic Upswings Shaded)

IND

EX

20

00

=1

00

Vehicle sales are performing well, but real residential plans passed seem to be moving sideways at a very low level

COMPARISON TOTAL VEHICLE SALES & TOTAL REAL RESIDENTIAL PLANS PASSED INDEX 1970 = 100

0

50

100

150

200

250

300

350

| 71 | 74 | 77 | 80 | 83 | 86 | 89 | 92 | 95 | 98 | 01 | 04 | 07 | 10 | 13

Source: NAAMSA; Stats SA; SARB; MFA DATABASE

IND

EX

197

0 =

100

TOTAL VEHICLE SALES TOTAL REAL RESIDENTIAL BPP

The percentage improvement in real residential plans passed has lost upward momentum, moderating from +7% to +4%

TOTAL VEHICLE SALES & TOTAL REAL RESIDENTIAL PLANS PASSED ANNUAL PERCENTAGE CHANGE

-60

-40

-20

0

20

40

60

80

100

| 71 | 74 | 77 | 80 | 83 | 86 | 89 | 92 | 95 | 98 | 01 | 04 | 07 | 10 | 13

Source: NAAMSA; STATS SA; SARB, MFA DATABASE (Economic upswings shaded)

AN

NU

AL

PE

RC

EN

TA

GE

CH

AN

GE

TOTAL VEHICLE SALES TOTAL RESIDENTIAL BPP

Shaded areas represent theupswing phases of the business cycle

Despite significant declines in interest rates, the upward percentage momentum in house plans passed (larger than 80m²) has dropped from +16% to +11%

PRIME RATE COMPARED TO BPP NUMBER OF HOUSES (>80m²) BPP ANNUAL PERCENTAGE CHANGE

-60

-40

-20

0

20

40

60

80

| 81 | 84 | 87 | 90 | 93 | 96 | 99 | 02 | 05 | 08 | 11 |

Source: Stats SA; SARB; MFA DATABASE

BP

P H

OU

SE

S A

NN

UA

L P

ER

CE

NT

AG

E

CH

AN

GE

8

10

12

14

16

18

20

22

24

26

28

PR

IME

RA

TE

(INV

ER

TE

D)

BPP NO OF HOUSES PRIME RATE

Introduction of National Credit ActBanks' stricter lending criteria applied

Mortgage finance is difficult to come by because of the stringent requirements of the National Credit Act …

BANKS' LENDING CRITERIA Percentage of respondents

30

40

50

60

70

80

90

100

| 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 |

Source: BER; Ernst & Young; MFA DATABASE (Economic upswings shaded)

VE

RY

EA

SY

< E

AS

IER

<

> S

TR

ICT

ER

> V

ER

Y S

TR

ICT

Global FinancialCrisis

National Credit ActIntroduced STRICT

EASY

The consequences of the National Credit Act and the stricter lending requirements of the banks are clearly reflected in key building statistics …

Consider the next graph that shows that despite much lower interest rates, a gap has opened up between interest rates and the number of square metres for house plans passed … this shows that effective demand has dropped sharply

Also consider the second graph that shows an unusual gap opening up between lower interest rates and new mortgage loans granted for the construction of new houses

NUMBER OF SQUARE METRES of DWELLING HOUSES (BPP) vs THE PRIME RATE (INVERTED)

0

350000

700000

1050000

1400000

| 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11

NU

MB

ER

OF

SQ

UA

RE

ME

TR

ES

0

4

8

12

16

20

24

28

32

PR

IME

RA

TE

(IN

VE

RT

ED

)

Sq m of DH BPP PRIME RATE

Square metres have fallen despite significantly lower interest rate levels …

There seems to be very little money available for new homebuilding …

THE COST AND AVAILABLITY OF MORTGAGE FINANCE FOR NEW HOUSES(with the Prime Interest Rate inverted)

0

500

1000

1500

2000

2500

3000

3500

4000

4500

5000

| 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 00 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 |

Source: Stats SA; SARB; MFA DATABASE

Rm

pe

r m

on

th a

t c

on

sta

nt

20

09

pri

ce

s

0

5

10

15

20

25

30

Inte

res

t ra

te p

er

ce

nt

INV

ER

TE

D

Building loans granted Prime interest rate

THIS UNUSUAL GAP HAS WORSENED THE DOWNTURN IN HOMEBUILDING

… consequently, plans and completions for houses larger than 80m² have dropped to historic lows

BPP & BC: NUMBER of DWELLING HOUSES LARGER THAN 80m² 3 MONTH MOVING AVERAGE

0

1000

2000

3000

4000

5000

| 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 00 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: Stats SA; MFA DATABASE

NU

MB

ER

OF

DW

EL

LIN

G H

OU

SE

S

BPP BC

Historical Peak4502

Lowest Point1000

LONG TERM MONTHLYAVERAGE2100 housesapproved

In terms of square metres, the Jan 2011 figures were just as poor as the lowest point recorded in Jan 2010

BUILDING PLANS PASSED DWELLING HOUSES NUMBER OF SQUARE METRES

0

200000

400000

600000

800000

1000000

1200000

1400000

| 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: Stats SA; MFA DATABASE

NU

MB

ER

OF

SQ

UA

RE

ME

TR

ES

Townhouses and flats data were just a little better in Jan 2011 than in Dec 2010 – could Dec 2010 be the trough in the cycle?

BUILDING PLANS PASSED TOWNHOUSES AND FLATS NUMBER OF SQUARE METRES

0

100000

200000

300000

400000

500000

600000

700000

800000

| 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: Stats SA; MFA DATABASE

NU

MB

ER

OF

SQ

UA

RE

ME

TR

ES

Still performing poorly … but a trough seems to be forming

BPP: RESIDENTIAL ADDITIONS & ALTERATIONS NUMBER OF SQUARE METRES

0

200000

400000

600000

800000

| 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: Stats SA, MFA DATABASE

SQ

UA

RE

ME

TR

ES

RES ADD & ALT 13mma

Average sizes seem to be rising gradually

AVERAGE SIZE OF TOWNHOUSES & FLATS SQUARE METRES (SMOOTHED)

0

20

40

60

80

100

120

140

160

180

| 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: Stats SA; MFA DATABASE

AV

ER

AG

E S

IZE

SQ

UA

RE

ME

TR

ES

CURRENTLY IMPROVING FROM 88 to 105SQUARE METRES

The building cost of townhouses and flats has recently risen to about R530 000 per unit

AVERAGE BUILDING COST OF TOWNHOUSES & FLATS RAND (DATA SMOOTHED)

0

100000

200000

300000

400000

500000

600000

| 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: Stats SA; MFA DATABASE

CO

ST

IN

RA

ND

CURRENTLY ABOUT R530 000 PER UNIT(on average)

The demand for new office space has dropped to a new low in Jan 2011 …

OFFICES BUILDING PLANS PASSED: SQUARE METRES

0

40000

80000

120000

160000

200000

| 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: Stats SA; MFA DATABASE

SQ

UA

RE

ME

TR

ES

3mma 13mma

… because real office rentals are under severe pressure and office vacancies are still high on a nationwide basis (vacancies line inverted)

OFFICE VACANCIES & BUILDING PLANS PASSED OFFICES

0

50000

100000

150000

200000

| 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: SARB; Stats SA; RODE DATABASE; SAPOA; MFA DATABASE

BP

P S

QU

AR

E M

ET

RE

S (

3 M

MA )

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

% N

AT

ION

AL

OF

FIC

E V

AC

AN

CIE

S

(IN

VE

RT

ED

)

BPP OFFICES VACANCIES

BPP

VACANCIESINVERTED(RIGHT HANDSCALE)

Closer inspection reveals that a shopping mall in KwaZulu-Natal was responsible for 66% of the higher Jan 2011 figure, another shopping centre in Mpumalanga contributed 27%. That leaves 6% for the remainder of the country. Conclusion: the higher Jan 2011 figure is a flash-in-the-pan …

SHOPPING SPACE BUILDING PLANS PASSED: SQUARE METRES

0

40000

80000

120000

160000

200000

240000

| 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: Stats SA; MFA DATABASE

SQ

UA

RE

ME

TR

ES

The Jan 2011 figures were poor and lower than in Jan 2010 …

INDUSTRIAL & WAREHOUSING BUILDING PLANS PASSED: SQUARE METRES

0

50000

100000

150000

200000

250000

300000

| 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: Stats SA; MFA DATABASE

SQ

UA

RE

ME

TR

ES

… because industrial vacancies are still relatively high (vacancies line inverted)

INDUSTRIAL VACANCIES & INDUSTRIAL BUILDING PLANS PASSED

0

50000

100000

150000

200000

250000

300000

| 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: RODE; STATS SA; SARB; MFA DATABASE

IND

US

TR

IAL

BB

P S

QU

AR

E M

ET

RE

S (

3m

ma)

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

5.0

HIG

HE

R

<

VA

CA

NC

Y R

AT

E

>

LO

WE

R

(IN

VE

RT

ED

)

INDUSTRIAL BPP INDUSTRIAL VACANCIES

VACANCIES INVERTEDRIGHT HAND SCALE

BPP

An earlier bounce back petered out in Dec 2010/Jan 2011

BUILDING PLANS PASSED: NON-RESIDENTIAL ADD & ALT SQUARE METRES

0

50000

100000

150000

200000

250000

300000

350000

| 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: Stats SA; MFA DATABASE

SQ

UA

RE

ME

TR

ES

Overall data for Jan 2011 were poor, but somewhat better than the Jan 2010 low point

TOTAL BUILDING PLANS PASSED (SQUARE METRES)

0

750000

1500000

2250000

3000000

3750000

| 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: Stats SA; MFA DATABASE

SQ

UA

RE

ME

TR

ES

TOTAL BPP 13mma

This comparison shows the relative performance of the various market segments since 1987. Only shops showed somewhat of an improvement because of two malls in KZN and Mpumalanga

COMPARISON: DWELLING HOUSES, TOWNHOUSES & FLATS, OFFICES, SHOPS, INDUSTRIAL SQUARE METRES (13 mma SMOOTHED) INDEX JAN 1987 = 100

0

100

200

300

400

500

600

700

| 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: STATS SA; SARB; MFA DATABASE

SQ

UA

RE

ME

TR

ES

SM

OO

TH

ED

IN

DE

X J

AN

198

7 =

10

0

DH TH & FLATS OFFICES SHOPS INDUSTRIAL

Offices

Houses

Shops

Industrial

Townhouses& Flats

BUILDING PLANSPASSED

This comparison shows the lagged two-year pattern (residential is still dropping and non-residential has further to fall)

COMPARISON TO ILLUSTRATE THE LAG BETWEEN RESIDENTIAL & NON-RESIDENTIAL BUILDING PLANS PASSED. INDEX Jan 1987 = 100

0

50

100

150

200

250

| 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 |

Source: Stats SA; SARB; MFA DATABASE

IND

EX

Ja

n 1

98

7 =

10

0

RESIDENTIAL BPP NON-RESIDENTIAL

33 MONTH LAG

18 MONTH LAG

26 MONTH LAG

30 MONTH LAG

NON-RESIDENTIAL LAGS RESIDENTIAL BY 27 MONTHS, ON AVERAGE, OR BY JUST MORE THAN 2 YEARS

Building Plans Passed seems to be bottoming out, and the lagging Buildings Completed time series is still tending downward…

BPP AND BC: TOTAL RESIDENTIALAT CONSTANT 2009 PRICES

0

1

2

3

4

5

6

| 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 20 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 |

Source: STATS SA; SARB; MFA DATABASE

RA

ND

BIL

LIO

N P

ER

MO

NT

H

BPP TOTAL RES BC TOTAL RES

BPP shows an uptick on account of the two shopping malls in KZN and Mpumalanga, but the downward trend is set to continue …

BPP AND BC: TOTAL NON-RESIDENTIAL AT CONSTANT 2009 PRICES

0

1

1

2

2

3

| 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 00 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 |

Source: STATS SA; SARB; MFA DATABASE

RA

ND

BIL

LIO

N P

ER

MO

NT

H

BPP TOTAL NON-RES BC TOTAL NON-RES

BPP could be bottoming out … but the lagging BC series will probably decline further

BPP AND BC: TOTAL ADDITIONS AND ALTERATIONS AT CONSTANT 2009 PRICES

0

1

1

2

2

3

3

| 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 00 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 |

Source: STATS SA; SARB; MFA DATABASE

RA

ND

BIL

LIO

N P

ER

MO

NT

H

BPP TOTAL ADD & ALT BC TOTAL ADD & ALT

In deflated value terms, it seems as if BPP total could be approaching a trough, but BC is expected to fall further

TOTAL BUILDING PLANS PASSED AND BUILDINGS COMPLETED AT CONSTANT 2009 PRICES

0

2

4

6

8

10

12

| 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99 | 00 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 |

Source: STATS SA; SARB; MFA DATABASE

RA

ND

BIL

LIO

N P

ER

MO

NT

H

BPP TOTAL BC TOTAL

Thank you for your attention …

Johan Snyman

[email protected]