effect of market crisis of financial efficiency on underpricing_ an var overview of indian ipos

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  • 7/31/2019 Effect of Market Crisis of Financial Efficiency on Underpricing_ an VAR Overview of Indian IPOs

    1/19

    European Journal of Business and ManagemISSN 2222-1905 (Paper) ISSN 2222-2839 (

    Vol 4, No.14, 2012

    Effect of Market Cri

    an V

    Rohit

    Indian Institut

    Phone: +

    Indian Institut

    Phone: +9

    Abstract

    This paper attempts to design for a

    capabilities. Which are interactinglevel of underpricing after the Indi

    stock exchange given that April-20

    the relationship between all indepe

    results of VAR display that variable

    the level of Market adjusted return

    theless, ROCE and RONW have a

    cates 49% R2and 32% adjusted R2.

    fied the assumptions of Akaike inf

    verify stationary of time series and

    cate, there is no heteroskedasticity p

    Key words: IPOs, Post market cris

    cific factors, market related variableJEL: G14, G32, G12

    1. IntroductionThe underpricing of IPOs is anomal

    In particular, one would expect the

    investors will recognize the implied

    of IPOs seems to be persistent in m

    of existing owners to sell shares to

    developed and developing markets

    There are a number of theoreti

    justifications for this observed phen

    in the form of ex ante uncertainties

    1989) and other similar studies, th

    underpricing their listed IPOs. Mo

    theories, investor sentiment theorie

    ket.

    The empirical evidence on t

    (Megginson and Weiss, 1991), sugg

    er hands, (Kay, 1986), documented,

    IPO affects the value of the firm, a

    1994), (Allen and Faulhaber, 1989

    which intend to make subsequent

    (Rock, 1986) and (An & Chan, 200

    advisers are better informed about t

    visers provide underwriting, marketas to reduce the selling effort and t

    continuously exploring various face

    (Rock, 1986), winner curse model,

    ntnline)

    1

    sis of Financial Efficiency on

    R Overview of Indian IPOs

    ansal (corresponding author),Research scholar

    e of Technology, Roorkee, Uttrakhand, India 24700

    19927285001 Email: [email protected]

    [email protected]

    Dr. Ashu Khanna, Asst Professor

    e of Technology, Roorkee, Uttrakhand, India 24700

    19756972391 Email: [email protected]

    nd tests empirical models, which integrate theoretic

    o explain financial efficiency, i.e. several financialn stock market crunch? The study is founded on IP

    08 to Dec-2011. VAR (vector autoregressive analysi

    ndent variables with the dependent variable, i.e. lev

    of DEBTQ, APATM, ROCE and RONW have a cons

    ratio (MARRO), AND VAR indicates 46% R2

    and 3

    significant difference in the level of traditional under

    However, in the mutually of a case i.e. LOGMAAR

    rmation criterion and Schwarz's criterion. We execu

    autocorrelation function. Durbin Watsons value subs

    roblem exist for the model?

    is, ownership structure, share holding pattern, BSE,

    s.

    ous in the sense that it appears to contradict the effici

    nderpricing of IPOs to disappear over time as the ov

    profit opportunities and make good use of them. Ho

    ost markets. Furthermore, it would be hard to ration

    outsiders at discounted ices. The fact that these anom

    akes them even more demanding to explain.

    al explanations and models underpinning this IPO un

    omenon rest upon the possible existence of informati

    about share prices. Also, according to (Welch, 1989),

    re exists a signaling mechanism where firms send si

    eover, there are other possible explanations such as

    and prospect theories to explain the degree of under

    he performance of private and government firms

    ested that privatized firms perform better than their c

    which is supportive of government enterprise. The a

    s well as the initial returns available to its subscribe

    ), explained underpricing as a signaling device use

    quity issues to distinguish themselves from the othe

    8), proposed non signaling explanations for underpri

    e equilibrium price of an issue than the issuing com

    ing, and price. Baron examines that they have an ince chance that they will left with unsold shares. Mos

    s of the pricing mechanism to find suitable explanati

    information revelation theory by (Benveniste & Spin

    www.iiste.org

    nderpricing:

    1

    1

    l and firms economic

    liquidity ratios at thethat listed at Bombay

    ) is used to distinguish

    l of underpricing. The

    equential association at

    % adjusted R2. Never-

    pricing, and VAR indi-

    & LOGUNDER veri-

    ted unit root testing to

    isted 1.58. Which indi-

    nderpricing, firm spe-

    nt markets' hypothesis.

    rwhelming majority of

    ever, the underpricing

    lly justify the behavior

    alies exist in numerous

    derpricing. The popular

    n asymmetries, mainly

    (Benveniste & Spindt,

    ignals to the market by

    underwriter reputation

    ricing in the IPO mar-

    is also inconclusive.

    unterparts. On the oth-

    curacy of pricing of an

    rs. (Loughran & Ritter,

    by high-quality firms

    r firms. (Baron, 1982),

    cing. In barons model,

    any and investors. Ad-

    entive to underprice sot of the researchers are

    ns for the underpricing.

    dt, 1989), price stabili-

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    European Journal of Business and ManagemISSN 2222-1905 (Paper) ISSN 2222-2839 (

    Vol 4, No.14, 2012

    zation theory byRudd (1993), tried

    the winners cursemodel based on

    entice uninformed investors, compa

    The remainder of the paper pr

    derpricing, and section 3 elaborates

    ses. Section 5 introduces our datadependent variable and all indepen

    association between the IPO underp

    1.1 Role of BSE in book buildinBSE suggests the book building se

    work. This system is one of the lar

    cities through over 7000 trader wor

    ated through book-runners of the is

    member brokers on behalf of them

    syndicate members, and the informa

    transparency, the software gives vis

    1.2. Why IPO Underpricing

    An initial public offering (IPO) iss

    single investment bank or group of

    (institutional & non-institutional) in

    per share (issue price) while the inv

    intermediaries help in matching the

    ious other functions like certifying t

    Exchange Board of India (SEBI), d

    responsibilities.

    1.3. Theories and models of underThus, according to the winners cu

    between informed and uninformed

    pricing for IPOs of financial instituFaulhaber, 1989) asymmetric infor

    firm, liquidity ratios, financial effici

    firms, firm performance (McDonal

    and Khanna, 2012) determinants of

    (Leite, 2007), generalized the i

    and conjectures that the standard m

    showed that high (low) market retur

    create a negative relation between t

    tive relation between market returns

    (Dolvin and Jordon, 2008), ad

    affect pre-existing shareholders. Th

    retention, which effectively offsetsis stable over time, unlike underpric

    nificant determinants of the cost of

    (Kumar, 2010), examines the

    tapped the primary market during

    i.e., including both direct as well a

    neither better nor worse using eith

    issue expenses associated with boo

    ling for issue size and firm specific

    (Bansal and Khanna, 2012), a

    level of underpricing of IPOs that

    option. They found that the magnit

    different results. They found signi

    through book build with those that a

    2. Research objectives1) To measures, the IPOs ini

    ntnline)

    2

    to give reasons for the Underpricing phenomenon. (

    the information asymmetry between informed and u

    ies underpriced new issues so that after market price

    ceeds as follows. Section 2 discusses the theories an

    the empirical evidence regarding literature. Section

    nd sample. Section 6 analyzes VAR regarding IPOent variables. Section 7 addresses the results. And

    ricing and independent variables. Section 9 concludes

    g process

    vices through the book building software that runs

    gest electronic book building networks anywhere sp

    k stations via leased lines, VSATs and campus LAN

    sue and by the syndicate member brokers. Through t

    selves or their clients' place orders. Bids are placed

    tion is collected on line real-time until the bid date en

    al graphs displaying price v/s quantity on the termina

    e process requires the active involvement of three

    investment banks (for underwriting & marketing the

    tending to buy shares. The issuing firm wants to obt

    stors want to buy the shares at a minimum price. Inv

    opposite expectation of both the parties. Investment

    he economic rationale of the issue to regulatory bodi

    ciding the issue price, allocating shares to investors

    ricing

    rse theory, IPO underpricing should decrease if the i

    investors is reduced. Empirical studies have found e

    tions is related to proxies for asymmetric informatioation(Ibbotson, 1975) Offer size (Megginson and

    iency (Muscarella and Vetsuypens, 1989) market capi

    and Fisher, 1972), (Baker and Wurgler, 2007), Pric

    PO underpricing.

    nformational assumptions of the (Rock, 1986) to add

    del based on informed and uninformed investors is

    ns induces the issuer to price the issue more conserva

    he public signal and the quality of the marginal inve

    and underpricing.

    ressed the question of whether or not periods of high

    y found that high levels of underpricing are associat

    uch of the potential cost. Overall, the percentage ofing itself. Also many factors known to be related to u

    oing public to pre-existing owners.

    efficiency of IPO issuing mechanisms using a sam

    003-07 by taking in to consideration the total costs t

    indirect costs. He finds that from a total cost point

    r book building or the fixed price offers. Their resul

    building is more than those associated with fixed pr

    haracteristics.

    alyzes that whatever there is any significant differen

    riced through book build with those that are priced

    de of underpricing is concerned; the book-build and

    icant difference in level of magnitude of underprici

    re priced through the fixed price option.

    ial performance on first trading day at Bombay stoc

    www.iiste.org

    ock, 1986), developed

    informed investors. To

    exceeds the offer price.

    models about IPO un-

    develops the hypothe-

    underpricing includingection 8 considers the

    the paper.

    n the BSE private net-

    nning over 350 Indian

    . The software is oper-

    his book, the syndicate

    electronically through

    ds. In order to maintain

    ls.

    ey players: the firm, a

    IPO), and the investors

    ain the maximum price

    estment banks acting as

    anks also perform var-

    es like the Securities &

    and other issue specific

    information asymmetry

    idence that the under-

    . Signaling(Allen andeiss, 1991) age of the

    talization, credibility of

    ing mechanism (Bansal

    ress empirical evidence

    nable to address. They

    tively (aggressively) to

    tor, and in turn a posi-

    underpricing adversely

    ed with increased share

    shareholder wealth lostnderpricing are not sig-

    le of Indian IPOs that

    he issuers have to face

    f view the issuers fare

    ts also showed that the

    ice offers after control-

    ce in the magnitude of

    through the fixed price

    fixed price option gave

    ng in IPOs that priced

    exchange from (April

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    European Journal of Business and ManagemISSN 2222-1905 (Paper) ISSN 2222-2839 (

    Vol 4, No.14, 2012

    2008 to Dec-2011).

    2) To analysis, the diverse fscription pattern) that affe

    crisis. And to distinguish t

    3. Research MethodologyThe data is analyzed using multiplethe underpricing. Empirical studies

    related to proxies for asymmetric i

    Weiss, 1991), age of the firm(Musc

    ty ratios, firms profitability, (McDo

    with IPO underpricing, Offer timin

    (Singh & Mittal, 2003).

    1.2 Measures for VariablesThe variables used in the study hav

    1.2.1 Measure of underpricingConsistent with the standard metho

    price to the closing price in the seco

    Traditional underpricing = ((closi

    Log underpricing = ln (P1-P0/P0)

    Log Underpricing = ln (closing pri

    standard practice and to avoid h

    (MAARO).

    Firstly, we have calculated the retur

    i security, P1= Price of, i security on

    Equation 1Ri= (P1-P0)/P0

    Secondly, we have also calculated i

    which, Mi= market return on ith da

    Equation 2 Mi= (Ii- I0)/ I0

    Finally, we have calculated market

    Mi from equation (2).Equation 3 MAARO = {100* [(1+

    Underpricing is used as dependent v

    1.3 Hypothesis ModelOn the basis of empirical studies

    variables. We have constructed vari

    iables. Two tailed hypothesis test h

    the 5% significance level.

    Null hypothesis: H0: There is no si

    ble i.e. level of underpricing.

    1.3.1.1 Debt-Equity Ratio (D/EDebt- equity ratio indicates the relfinancial stability of the firm. We h

    into the natural logarithms to make

    D/E Ratio = Long- term Debt / S

    H1: There is positive significant ass

    1.3.2 Current Ratio (CR)Current ratio is calculated current a

    the firm in the short term. We have t

    CR= Current assets, Loans & adv

    H2: There is negative significant di

    1.3.3 Creditors payment period (The measurement of the creditor t

    purchased by the company. In gene

    mean that the operations of the com

    CPP = Average creditor/ credit pu

    ntnline)

    3

    ctors (firms age, number of shares offered, market

    ting the dependent variable i.e. degree of underpricin

    he association between several financial ratios and lev

    linear regressions. To find out which variables are si

    ave found evidence that the underpricing for IPOs o

    nformation. Liquidity positions, firm efficiency, Off

    arella and Vetsuypens, 1989), (Barry & brown, 1985

    nald and Fisher, 1972),(Bansal and Khanna, 2012),

    from price setting to listing date found negatively re

    been measured as described below.

    dology, underpricing is calculated as the percentage

    ndary market.

    g price - offer price) /offer price) * 100

    100

    ce/ offer price) is used to determine the level of un

    eteroskedasticity. We have got marketed adjusted

    on, i security, where we have used Ri= (P1-P0)/P0 i

    first listing day, P0= offer price of, i security.

    index return on corresponding days, where we have

    , Ii = closing index at listing day, I0= closing index at

    ..

    adjusted return on security, where we have taken Ri

    i)/ 1+Mi)1]}

    ariable in this multiple regression model.

    Insert Table 1 Description of variables

    hich have found evidence that the underpricing for

    us hypothesis related to our research problems, rese

    s been used to find the significant association betw

    nificant difference between independent variables wi

    Ratio)tionship between loan funds and new worth of the

    ve taken previous Year before issuing IPO year. Aft

    tandardized value and to remove the heteroskedastici

    hareholders Funds

    ociation between Debt- equity ratios with the level of

    sets divided by current liabilities. It is indicating the

    aken current ratio to reveal liquidity condition of a co

    ances / Current Liabilities & Provisions

    ference between Current Ratio and the level of under

    CPP)

    rnover period shows the average time taken to payal the longer the credit period achieved the better, be

    any are being financed interest free by suppliers of m

    rchase * 365 (in days)

    www.iiste.org

    capitalization, and sub-

    g after the stock market

    el of underpricing.

    nificant in determining

    financial institutions is

    r size (Megginson and

    , Company size, activi-

    ave all been associated

    lated with underpricing

    change from the offer

    .. (1)

    . (2)

    erpricing and to make

    returns on securities

    n which, Ri= return on,

    (3)

    sed Mi= (Ii- I0)/ I0 in

    offer day.

    (4)

    from equation (1) and

    .(5)

    IPOs with independent

    rch objectives and var-

    en various variables at

    th the dependent varia-

    ompany, the long term

    rwards we converted it

    y.

    underpricing.

    liquidity & solvency of

    mpany.

    ricing.

    for goods and servicescause delay in payment

    aterials.

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    European Journal of Business and ManagemISSN 2222-1905 (Paper) ISSN 2222-2839 (

    Vol 4, No.14, 2012

    H3: There is negative significant di

    1.3.4 Debtors turnover ratioDebtors turnover, which measures

    er the company has been efficient in

    position. We converted it into the na

    DV = Credit sales/ Average DebtoH4: There is positive significant lin

    1.3.5 Fixed Assets to long termThis ratio indicates the proportion

    assets minus depreciation. Neverthe

    FALTF = Fixed Assets / Long- ter

    H5: There is positive significant dif

    pricing.

    1.3.6 Interest coverage ratioThe interest coverage ratio shows h

    payment of interest. A very high rat

    excessive use of debt.

    ICR = Profit before Interest, Dep

    H6: There is negative significant di

    1.3.7 Inventory turnover ratioA considerable amount of a compan

    and finished goods. We converted it

    ITR = Cost of Goods sold or sales

    H7: There is positive significant dif

    1.3.8 Profit before DepreciationTotal profit before depreciation &

    payment. However, we converted it

    H8: There is positive significant ass

    derpricing.

    1.3.9 Profit before interest depreTotal profit before interest, deprecia

    on equity. However, we converted

    heteroskedasticity.

    H9: There is positive significant ass

    of underpricing.

    1.3.10 Profit before interest and tTotal profit before interest & tax tha

    However, we converted it into the n

    H10: There is negative significant

    pricing.

    1.3.11 Return on capital employThis ratio is also called as return on i

    on capital. We converted it into the

    ployed.

    ROCE = Net profit / Capital empl

    ROCE = Net profit / sales * sales /

    H11: There is positive significant di

    1.3.12 Return on net worthThe ratio expresses the net profit i

    performance for equity shareholder

    RONW = Net profit after interest an

    H12: There is negative significant di

    1.3.13 Profit after interest and taxTotal profit after interest & tax that

    ntnline)

    4

    ference between Creditors payment period and the lev

    hether the amount of resources tied up in debtors, is

    converting debtors into cash. The higher the ratio is i

    tural logarithms.

    sbetween Debtors turnover ratio and the level of unde

    funds ratio

    f ling term funds deployed in fixed assets. Fixed as

    less, fixed assets are good scale to measure the long r

    funds

    erence between fixed assets to long term funds ratio

    ow many times interest charges are covered by fun

    io indicates that the firm is conservative in using debt

    eciation and tax / Interest

    ference between Interest coverage ratios with the leve

    ys capital may be tied up in the financing of raw mat

    into the natural logarithms.

    / Average Inventory

    erence between Inventory turnover ratio and the level

    and taxation

    ax that has been recorded before finalizing interest

    into the natural logarithms to make standard value.

    ociation between profit before depreciation and taxat

    ciation and taxation

    tion & tax has been recorded before finalized interes

    it into the natural logarithms to make standard va

    ciation between profit before interest, depreciation an

    axation

    t has been recorded before finalizing interest on debts

    tural logarithms to remove the heteroskedasticity.

    ifference between profit before interest and taxation

    d

    investment (ROI). The strategic aim of a business ente

    natural logarithms to remove the heteroskedasticity.

    oyed

    Or

    Capital employed

    fference between Return of capital employed and the l

    terms of equity shareholders funds. This ratio is an

    since it indicates the return on the finished employed

    d tax / net worth * 100

    ifference between Return on net worth and the level o

    has been recorded after finalizing interest on debts

    www.iiste.org

    el of underpricing.

    reasonable and wheth-

    indicating the better the

    rpricing.

    sets represent the gross

    n efficiency.

    ith the level of under-

    s that are available for

    and low ratio indicates

    l of underpricing.

    erials, work in progress

    of underpricing.

    on debts and make tax

    ion and the level of un-

    on debts, depreciation

    lue and to remove the

    d taxation and the level

    and make tax payment.

    and the level of under-

    rprise is to earn a return

    Net profit/ capital em-

    evel of underpricing.

    important yardstick of

    by them.

    underpricing.

    nd make tax payment.

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    European Journal of Business and ManagemISSN 2222-1905 (Paper) ISSN 2222-2839 (

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    However, we converted it into

    heteroskedasticity.

    H13: There is positive significant di

    1.3.14 Long Term Debt-Equity RaThe ration compares long term debt

    assets. This ratio would be of moreconverted it into the natural logarith

    LTDE = Long- term debt / Shareh

    H14: There is negative significant di

    Estimation Proc:

    =========================

    EC(C,1) 1 2 LOGMAARO LO

    LOGDEBTORS LOGFIXDAST

    LOGROCE LOGRONW LOGTER

    VAR Model estimation

    D(LOGMAARO) =A(1,1)*(B(1,1)*LOGMAARO(-1)

    C(1,2)*D(LOGMAARO(-2)) + C

    C(1,6)*LOG_DEBEQ + C(1,7

    C(1,10)*LOGDEBTORS+ C(1,11)

    C(1,14)*LOGPBDTM + C(1,15

    C(1,18)*LOGRONW + C(1,19)*L

    D(LOGUNDER) =

    A(2,1)*(B(1,1)*LOGMAARO(-1)

    C(2,2)*D(LOGMAARO(-2)) +

    C(2,6)*LOG_DEBEQ + C(2,7

    C(2,10)*LOGDEBTORS+ C(2,11)C(2,14)*LOGPBDTM + C(2,15

    C(2,18)*LOGRONW + C(2,19)*L

    5.0 Data collection and result anal

    The data for the study was

    http://www.bse-india.com/IPO und

    from CMIE & Capital line database

    Dec 2011. BSE was selected for thi

    volumes.

    Insert Table 2 Magnitude of initia

    Insert Table 3 Descriptive results

    independent variables

    Insert Figure 1 Details for IPOs li

    Insert Figure 2

    Insert Table 4 unit root test by KP

    Insert Table 5 VAR results showiiables

    Insert Table 6 Results of null hyp

    ntnline)

    5

    the natural logarithms to make standard value

    fference between profit after interest and tax and the l

    tio

    to the new worth of the firm i.e the capital and free

    interest to the contributories of long term finance to tms to make standardized value and to remove the het

    olders net worth

    ifference between long term debt- equity ratio and the

    =====

    UNDER @ LOG_DEBEQ LOGAPATM LOG

    OGINTCVR LOGINVNTRY LOGPBDTM LOG

    DEBTE

    B(1,2)*LOG UNDER(-1) + B(1,3)) + C(1,1)*

    (1,3)*D(LOGUNDER(-1)) + C(1,4)*D(LOG UN

    *LOGAPATM + C(1,8)*LOGCPM + C(1,9

    *LOGFIXDAST + C(1,12)*LOGINTCVR + C(1,

    )*LOGPBIDTM + C(1,16)*LOGPBITM +

    GTERMDEBTE

    + B(1,2)*LOGUNDER(-1) + B(1,3)) + C(2,1)*

    (2,3)*D(LOGUNDER(-1)) + C(2,4)*D(LOGUND

    *LOGAPATM + C(2,8)*LOGCPM + C(2,9

    *LOGFIXDAST + C(2,12)*LOGINTCVR + C(2,)*LOGPBIDTM + C(2,16)*LOGPBITM +

    GTERMDEBTE

    ysis

    btained from the website of the Bombay st

    r the heading of book building in IPOS. We also s

    . The period for which the data was taken for the stu

    study because it is the largest exchange in the countr

    public offer at Bombay stock exchange (2000-201

    of all variables i.e. dependent variable such as LO

    ted at Bombay stock exchange

    SS

    g relationship between dependent variable with o

    thesis @ 5% significance level t= 1.64 one tailed te

    www.iiste.org

    and to remove the

    vel of underpricing.

    reserves less intangible

    he firm. Afterwards weroskedasticity.

    level of underpricing.

    CPM LOGCURRNTR

    BIDTM LOGPBITM

    (LOGMAARO(-1)) +

    ER(-2)) + C(1,5) +

    )*LOGCURRNTR +

    13)*LOGINVNTRY +

    (1,17)*LOGROCE +

    (LOGMAARO(-1)) +

    ER(-2)) + C(2,5) +

    )*LOGCURRNTR +

    13)*LOGINVNTRY +(2,17)*LOGROCE +

    ck Exchange (BSE)

    pplemented these data

    y was Oct 2008 to 31st

    y in relations of trading

    )

    Maaro and all other

    ther independent var-

    st

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    Insert Table 7 Results of null hyp

    Insert Figure 3

    6. Results & findings of VAR by L

    Based on the multiple linear VARpreciation & tax, Return on capital

    of underpricing by taken LOGMA

    level of underpricing at 5 % signifi

    nificant negative effect on the level

    cant association between current rat

    ratio contains no effecton the level

    cant dissimilarity between credito

    Therefore, null hypothesis 3 is acce

    level of underpricing at 5% signific

    ble. Therefore, null hypothesis 4 is

    ratio and level of underpricing at 5

    is no significant dissimilarity bet(t= .64). Therefore, null hypothesis

    Insert Figure 4

    Insert Figure 5

    There is no significant associat

    icance level (t= -.34). This reveals t

    is accepted. There is no significant

    pricing at 5% significance (t= -.36).

    between profit before interest, dep

    (t= .82). This reveals that profit bef

    hypothesis 9 is accepted. There is

    underpricing at 5% significance levof underpricing. Therefore, null hyp

    capital employed and levelof unde

    return on capital employed on the le

    There is a significantdissimila

    (t= -3.24). However, there is a nega

    hypothesis 12 is rejected. There is a

    of underpricing at 5 % significance

    itive significant effect on the level

    cant association between long term

    reveals that long term debt equity h

    Insert Figure 6

    6.1. Results & findings of VAR b

    Based on the multiple linear VAR r

    return to the net worth show releva

    is a significant relationship between

    cance level (t value= 2.76). This ex

    the level of underpricing. Therefor

    turn on net worth and levelof und

    effect of return on net worth on the

    less, all other variables except RO

    However, in that situation null hypo

    Insert Figure 7

    7.0. Discussion

    The results of the numerous VAR an

    it was constructed that the variabl

    ntnline)

    6

    thesis @ 5% significance level t= 1.96

    OGMAARO

    esults it was construct that the variables' debt-equitymployed and return on net worth show significant rel

    RO. There is a significant relationship between the d

    ance level (t value= -2.05). This examined that debt

    of underpricing. Therefore, null hypothesis 1 is rejec

    io and level of underpricing at 5% significance level

    of underpricing. Therefore null hypothesis 2 is accep

    payment period and level of underpricing at 5%

    ted. There is no significant association between de

    nce level (t= -.61). This reveals that debtors turnov

    accepted. There is no significant relationship betwe

    significance level (t=-.21). Therefore, null hypothe

    een interest coverage ratio and level of underpriciis accepted.

    ion between inventory turnover ratio and level of un

    hat inventory turnover ratio has not acceptable. Ther

    dissimilarity between profit before depreciation and

    Therefore, null hypothesis 8 is accepted. There is n

    reciation and taxation and level of underpricing at

    re interest, depreciation and taxation ratio has not acc

    o significant association between profit before inter

    el (t=-.011). The rofit before interest and tax contaiothesis 10 is accepted. There is a significantdissimil

    rpricing at 5% significance (t= 2.76). However, ther

    vel of underpricing. Therefore, null hypothesis 11 is r

    ity between return on net worth and levelof underpri

    ive effect of return on net worth on the level of under

    significant relationship between the profit after inter

    level (t value= 1.99). This examined that profit after i

    f underpricing. Therefore, null hypothesis 13 is rejec

    ebt equity and level of underpricing at 5% significan

    s not acceptable. Therefore, null hypothesis 14 is acc

    LOG UNDER

    esults it was constructed that the variables' Return o

    t relationship at the level of underpricing by capture

    the return on capital employed and the level of und

    amined that return on capital employed has the signi

    , null hypothesis 11 is rejected. There is a weighty di

    rpricing at 5% significance (t= -2.80). Notwithstand

    level of underpricing. As a result, null hypothesis 1

    CE & RONW have no significant association at th

    hesis is approved.

    alyses are contained in Table 10. Based on the multip

    s' debt-equity ratio, Profit after depreciation & tax,

    www.iiste.org

    ration, Profit after de-ationship with the level

    ebt-equity ratio and the

    quity ratio has the sig-

    ed. There is no signifi-

    (t=-.1.14). The current

    ted. There is no signifi-

    significance (t= -.67).

    btors turnover ratio and

    r ratio has not accepta-

    n fixed assets turnover

    sis 5 is accepted. There

    ng at 5% significance

    erpricing at 5% signif-

    fore, null hypothesis 7

    tax and levelof under-

    significant association

    5% significance level

    eptable. Therefore, null

    st and tax and level of

    s no effecton the levelarity between return on

    is a positive effect of

    jected.

    cing at 5% significance

    pricing. Therefore, null

    st and tax and the level

    nterest and tax has pos-

    ed. There is no signifi-

    ce level (t= -.036). This

    pted.

    capital employed and

    d LOG UNDER. There

    rpricing at 5 % signifi-

    ficant positive effect of

    issimilarity between re-

    ing, there is a negative

    is declined. Neverthe-

    level of underpricing.

    le additive VAR results

    Return on capital em-

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    ployed and return to the net worth

    LOGMAARO. Nevertheless, Base

    Return on capital employed and ret

    ing by interpreted LOG UNDER.

    The result pointing to the nega

    temporary study is in confirmationworth leads to increase in supply of

    relationship of return on capital em

    with result found by (Bansal and K

    ship between offer timing and level

    level of underpricing in the present

    8.0. Conclusions

    Taking into account all firms which

    for the period 1999 until 2011, this

    ticular, an average underpricing lev

    proach, the degree of underpricing i

    sis. Nevertheless, there is limited s

    ex- ante information and have a mo

    evant negative effect on short-run u

    significant relationship with other

    current ratio and fixed assets ratio a

    The results obtained from this

    sistent with developed and other

    strategy of buying the fresh issues

    withstanding, the study also reveals

    of the initial returns is found on th

    fourth day of trading.

    References

    1) Allen, F. Faulhaber, G. (1989).ics.23, 303-323.

    2) An, H. Chan, K.C. (2008). Cre3) Baker, M. Wurgler, J. (2007). In

    129-151

    4) Baron, David. P. Bengt, Holmsmetric Information, Delegation

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    7) Balwinder, Singh. P,K. Mittal. (plied Finance. 9(2), 29-39.8) Bansal, R. and Khanna, A. (201Bombay stock exchange India,

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    show significant relationship with the level of und

    on the multiple additive VAR results it was constru

    rn to the net worth show significant relationship with

    tive relationship ofreturn on net worth and level of u

    of the result construct by in their study. It can be ishare in IPO, leading to lesser underpricing. The resu

    ployed and level of underpricing in the present stud

    hanna, 2012) in their study.(Singh & Mittal, 2003),

    l of underpricing there is no significant relationship

    tudy.

    completed public on the official market of the Stoc

    study examines the evidence on the short-run under-

    el within the range 50% is found based on first day.

    s explained by the ex-ante uncertainty hypothesis and

    pport for the signaling hypothesis. In particular, the

    mentous positive impact on the initial returns while t

    nderpricing. At the same time, the results show that

    xplanatory factors such as Debtor's turnover ratio, c

    d the level of underpricing.

    study show that fresh issues on the BSE are subjec

    merging markets. In this respect, prospective inves

    at the offer and selling them immediately on the initi

    that investors should not hold new issues very long as

    first day of trading and that the average initial retur

    Signaling by under pricing in the IPO market. Journa

    it Ratings and IPO Pricing. Journal of Corporate Fina

    vestor Sentiment in the Stock Market. Journal of Eco

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    nce. 37, 955-976.

    ifferential information and security market equilibriu

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    12). Pricing mechanism and explaining underpricing

    International journal of research in finance and mark

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    an journal of management research, ISSN- 2229-379

    12), IPOs underpricing and money left on the ta

    h in Management, Economics and Commerce, 2 (6),

    ), Share holdings pattern and its impact on IPO Un

    , Asian journal of research in business, econom

    2), Does ownership structure affecting IPO underpr

    rnal of business economics and management research

    2), IPO underpricing cloud or rain: Even commenci

    al of management and Behavioural science, Vol.1,

    ), Analysis of IPO underpricing: Evidence from Bo

    in commerce, it & management, Vol.2, no.8, pp- 01-

    www.iiste.org

    rpricing by interpreted

    cted that the variables'

    the level of underpric-

    nderpricing in the con-

    informed that large netlt is indicating positive

    is in the confirmation

    Regarding the relation-

    etween firms age and

    Exchange of Bombay

    ricing of IPOs. In par-

    Using a regression ap-

    the signaling hypothe-

    results disclose that the

    he signaling has no rel-

    there is no statistically

    editor payment period,

    t to underpricing, con-

    tors should pursue the

    ial day of trading. Not-

    the highest component

    ns turn negative on the

    l of Financial Econom-

    nce. 14, 585-595.

    omic Perspectives. 21,

    ew Issues under Asym-

    151138.

    istribution Services for

    m. Journal of Financial

    e ICFAI Journal of Ap-

    of IPOs, evidence from

    eting, 2(2), 205-216.

    on IPOs underpricing:

    , 3 (1), 01-11.

    le in Indian market,

    106-120.

    derpricing: after Indian

    ics and management,

    icing: A case of Indian

    , 3(5), 39-51.

    ng from Bombay stock

    SSN. 2278- 5671, pp-

    mbay stock Exchange,

    6.

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    Vol 4, No.14, 2012

    15) Benveniste, L.M. Spindt, P.A.new issues. Journal of Financial

    16) Dolvin, S.D. Jordan, B.D. (20shareholders. Journal of Busine

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    18) Kumar, S.S.S. (2010). Is bookresearch journal of finance and

    19) Ibbotson, R.G. (1975). Price p235-272.

    20) Loughran, T. Ritter, J.R. (1994).2, 165-199.

    21) Loughran, T. Ritter, J.R. (200Review of Financial Studies. 1

    22) Leite, T. (2007). Adverse selecnance.13, 813-903.

    23) McDonald, J.G. A, K. Fisher. (124) Megginson, W.L. K.A. Weiss.

    Finance. 46, 879903.

    25) Muscarella, C. J. Vetsuypens,Financial Economics. 24, 1251

    26) Rock, K. (1986). Why new issu27) Ritter, J.R. (1991). The Long R28) Sherman, A.E. (2000). IPOs an

    Studies.13, 697-714.

    29) S, Richard. M, P, Luiz. (2006Global Finance Conference pro

    30) Welch, I. (1989). Seasoned offeof Finance.47, 695-732

    ntnline)

    8

    1989). How investment bankers determine the offer

    l Economics. 24, 343-361.

    08). Underpricing, overhang, and the cost of goin

    ss Finance and Accounting. 35, 434-458.

    0). Information content of IPO grading. Journal of

    building an efficient pricing mechanism? The Indian

    economics.38, 173-189.

    rformance of common stock new issues. Journal of

    Initial Public Offerings: international insights. Pacific

    ). Why dont issuers get upset about leaving money

    , 413-443.

    tion, public information, and underpricing in IPOs. J

    972). New Issues Stock Price Behavior. Journal of Fi

    (1991). Venture capitalist certification in initial publ

    . R. (1989). A simple test of Baron's model of IPO u

    35.

    es are underpriced?. Journal of Financial Economics.

    n Performance of Initial Public Offerings. The Journ

    long term relationships, an advantage of book buildi

    ). Underpricing of Brazilian IPOs, Empirical Eviden

    ceeding. Rio de Janeiro, Brazil (2006).

    ings, imitation costs and the under pricing of initial p

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    price and allocation of

    public to pre-exiting

    anking & Finance. 34,

    evidence. International

    inancial Economics. 2,

    Basin Finance Journal.

    on the table in IPOs?.

    ournal of corporate Fi-

    ance, 97-102.

    ic offerings. Journal of

    nderpricing. Journal of

    15, 187-212.

    l of Finance. 46, 3-27.

    g. Review of Financial

    ce from 1999 to 2005.

    blic offerings, Journal

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    Appendix- list of tables

    Varib

    ales

    Description Measurement

    LOGD

    EBEQ

    Debt-Equity

    Ratio

    Debt- equity rati

    financial stabilit

    into the natural l

    LOGA

    PATM

    Profit after

    interest and

    tax

    Total profit after

    However, we c

    heteroskedasticit

    LOGC

    PM

    Creditors

    payment

    period

    The measureme

    purchased by the

    LOGC

    URRN

    TR

    Current Ratio Current ratio is c

    the firm in the sh

    LOGD

    EBTO

    RS

    Debtors

    turnover ratio

    Debtors turnove

    the company has

    LOGF

    IXDA

    ST

    Fixed Assets

    to long term

    funds ratio

    This ratio indica

    assets minus dep

    LOGI

    NTCV

    R

    Interest cov-

    erage ratio

    The interest cov

    payment of inter

    excessive use of

    LOGI

    NVNT

    RY

    Inventory

    turnover ratio

    A considerable a

    and finished goo

    LOGP

    BDT

    M

    Profit before

    depreciation

    and taxation

    Total profit befo

    payment. Howev

    LOGP

    BIDT

    M

    Profit before

    interest de-

    preciation

    and taxation

    Total profit befo

    ciation on equity

    value and to rem

    LOGP

    BITM

    Profit before

    interest and

    taxation

    Total profit befo

    ment. However,

    LOGR

    OCE

    Return on

    capital em-

    ployed

    This ratio is also

    return on capital.

    employed.

    LOGR

    ONW

    Return on net

    worth

    The ratio expres

    performance for

    after interest and

    LOGT

    ERM

    DEBT

    E

    Long Term

    Debt-Equity

    Ratio

    The ration comp

    assets. This ratio

    converted it into

    LOG

    MAA

    RO

    Market ad-

    justed return

    on under-

    pricing

    We collected ini

    We can correcti

    logarithms to ma

    ntnline)

    9

    o indicates the relationship between loan funds and new worth o

    of the firm. We have taken previous Year before issuing IPO yea

    garithms to make standardized value and to remove the heterosked

    interest & tax that has been recorded after finalizing interest on

    onverted it into the natural logarithms to make standard

    .

    nt of the creditor turnover period shows the average time taken t

    company. Average creditor/ credit purchase * 365

    alculated current assets divided by current liabilities. It is indicatin

    ort term. We have taken current ratio to reveal liquidity condition o

    r, which measures whether the amount of resources tied up in debto

    been efficient in converting debtors into cash. We converted it into

    es the proportion of ling term funds deployed in fixed assets. Fi

    eciation. Nevertheless, fixed assets are good scale to measure the

    rage ratio shows how many times interest charges are covered b

    st. A very high ratio indicates that the firm is conservative in usin

    ebt.

    mount of a companys capital may be tied up in the financing of ra

    s. We converted it into the natural logarithms.

    re depreciation & tax that has been recorded before finalizing int

    er, we converted it into the natural logarithms to make standard val

    e interest, depreciation & tax that have been recorded before finali

    and make tax payment. However, we converted it into the natural

    ve the heteroskedasticity.

    re interest & tax that has been recorded before finalizing interest

    e converted it into the natural logarithms to remove the heteroske

    called as return on investment (ROI). The strategic aim of a bu

    We converted it into the natural logarithms to remove the heteros

    es the net profit in terms of equity shareholders funds. This ratio

    equity shareholders since it indicates the return on the finished e

    tax / net worth * 100

    res long term debt to the new worth of the firm i.e. the capital an

    would be of more interest to the contributories of long term finan

    the natural logarithms to make standardized value and to remove th

    ial return on listing days of IPOs than we correct these return wit

    e the market moments and to avoid any market co incidence. We

    ke standard value and to remove the heteroskedasticity.

    www.iiste.org

    the company, the long term

    . Afterwards we converted it

    asticity.

    ebts and make tax payment.

    value and to remove the

    pay for goods and services

    g the liquidity & solvency of

    f a company.

    rs, is reasonable and whether

    the natural logarithms.

    ed assets represent the gross

    long run efficiency.

    funds that are available for

    debt and low ratio indicates

    materials, work in progress

    erest on debts and make tax

    ue.

    zing interest on debts, depre-

    logarithms to make standard

    on debts and make tax pay-

    asticity.

    siness enterprise is to earn a

    edasticity. Net profit/ capital

    is an important yardstick of

    mployed by them. Net profit

    free reserves less intangible

    e to the firm. Afterwards we

    e heteroskedasticity.

    h market index performance.

    converted it into the natural

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    Magnitude of IPOs

    Table no 2. It contains magnitude o

    divided on the basis of IPO that lis

    and overpricing in different years. I

    fixed price option. ata is collecte

    nism (BB), fixed price option (FPO)

    price option underpricing (FPOU),

    Year BS

    E

    Iss

    ue

    B

    B

    FP

    O

    BB-Un

    er

    2000 67 11 56 6

    2001 10 2 8 0

    2002 5 1 4 0

    2003 11 4 7 3

    2004 25 17 8 9

    2005 67 48 19 26

    2006 89 68 21 36

    2007 10

    5

    91 14 58

    2008 38 33 5 16

    2009 21 21 0 14

    2010 73 71 2 472011 39 38 1 19

    Total 55

    0

    40

    5

    145 234

    ntnline)

    10

    IPOs after Indian stock market crisis since October

    ed via book build and fixed price option. It is also sh

    t segregates issue that is priced through book build a

    with BSE websites and Capitaline database. Howe

    , Book building underpricing (BBU), Book building o

    nd fixed price option overpricing (FPOO).

    BB-Ov

    er

    FPO-Und

    er

    FPO-ov

    er

    %

    BBU

    %B

    O

    5 30 26 21.96 -46.

    2 2 6 0.00 -62.

    1 4 0 0.00 -50.

    1 5 2 90.16 -87.

    8 6 2 54.43 -45.

    21 14 5 31.47 -51.

    32 14 7 36.75 -46.

    32 7 7 51.54 -21.

    17 2 3 36.45 -26.

    7 0 0 19.09 -14.

    24 2 0 22.35 -12.19 0 1 47.36 -33.

    169 86 59 34.29 -41.

    www.iiste.org

    2000 to dec 2011. It is

    ows % of underpricing

    d that is price through

    ver Book build mecha-

    verpricing (BBO), fixed

    B

    %FPO

    U

    %FPO

    O

    7 191.32 -32.3

    0 47.50 -52.0

    3 16.07 0.0

    1 97.86 -85.3

    5 74.10 -56.0

    5 60.37 -63.8

    3 38.91 -25.0

    2 113.67 -3.3

    6 18.06 -32.3

    2 0.00 0.0

    5 60.77 0.02 0.00 -70.4

    6 59.88 -35

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    Descriptive statistics results

    Varia-

    bles

    Me

    an

    Me

    dian

    Maxi

    mum

    LOG

    DEBEQ

    -0.

    07

    0.01 4.28 -

    LOG

    APATM

    2.2

    2

    2.19 6.94 -1

    LOG

    CPM

    2.4

    9

    2.42 6.94 -

    LOG

    CURRN

    TR

    0.6

    8

    0.43 3.94 -1

    LOG

    DEBTO

    RS

    2.0

    5

    1.74 10.37 -

    LOGFIXDA

    ST

    1.12

    1.24 4.29 -

    LOG

    INTCV

    R

    1.9

    0

    1.49 6.78 0

    LOG

    INVNT

    RY

    2.2

    3

    2.32 7.61 -

    LOG

    MAAR

    O

    2.6

    3

    3.00 4.96 -

    LOGPBDTM

    2.74

    2.79 7.05 -

    LOG

    PBIDT

    M

    3.0

    8

    2.97 7.17 -

    LOG

    PBITM

    2.8

    8

    2.86 7.17 -

    LOG

    ROCE

    2.8

    4

    2.95 5.23 -1

    LOG

    RONW

    2.9

    3

    3.22 5.11 -

    LOGTERM

    DEBTE

    -0.32

    -0.24

    3.58 -

    Table no 3; descriptive resu

    ntnline)

    11

    ini

    um

    Std.

    Dev.

    Skew

    ness

    Kurt

    osis

    Jarque

    -Bera

    Proba

    bility

    .61 1.46 -0.32 4.80 12.43 0.00 -

    7

    1.20 1.35 0.09 3.85 2.60 0.27 1

    .

    .27 1.22 0.22 4.11 4.91 0.09 2

    .

    1.27 0.81 1.11 5.53 38.61 0.00 5

    5

    .31 1.63 2.42 11.3

    2

    316.29 0.00 1

    .

    .21 1.45 -0.19 3.07 0.50 0.78 98

    .00 1.66 1.32 4.10 28.04 0.00 1

    .

    .60 1.57 0.41 3.58 3.45 0.18 1

    .

    .49 1.40 -0.47 2.35 4.43 0.11 2

    .

    .17 1.26 -0.16 4.02 3.91 0.14 2.

    .13 1.13 -0.11 5.03 14.21 0.00 2

    .

    .87 1.27 -0.31 4.59 9.89 0.01 2

    .

    1.14 1.17 -1.25 4.68 30.94 0.00 2

    .

    .30 1.10 -1.19 4.39 26.03 0.00 2

    .

    .61 1.32 -0.24 5.16 16.65 0.00 -1

    lts of variables

    www.iiste.org

    u

    m

    Sum

    Sq.De

    v

    Ob-

    servati

    on

    .9

    172.25 82

    81

    9

    147.08 82

    03

    9

    119.81 82

    5.

    6

    52.99 82

    68

    0

    215.40 82

    1.7

    170.56 82

    55

    5

    224.12 82

    82

    5

    199.22 82

    15

    2

    158.10 82

    243

    128.95 82

    52

    9

    103.35 82

    36

    2

    130.08 82

    32

    1

    110.32 82

    40

    6

    98.81 82

    6.0

    140.24 82

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    Kwiatkowski-Phillips-Schmidt-Sh

    Null Hypothesis: LOGMAARO is s

    Kwiatkowski-Phillips-Schmidt-Shin

    Asymptotic critical v

    *Kwiatkowski-Phillips-Schmidt-Shi

    Residual variance (no correction)

    HAC corrected variance (Bartlett ke

    S.E. of regression

    Sum squared resid

    Durbin-Watson stat

    Table 4Kw

    ntnline)

    12

    in test statistic

    ationary

    test statistic

    alues*: 1% level

    5% level10% level

    n (1992, Table 1)

    rnel)

    1.298001 Akaike info criterion

    497.0176 Schwarz criterion

    1.761576 Hannan-Quinn criter.

    iatkowski-Phillips-Schmidt-Shin test statistic result

    www.iiste.org

    LM-Stat.

    0.43563

    0.73900

    0.463000.34700

    1.67911

    2.46398

    3.36290

    3.37536

    3.36789

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    Table no 5. Vector Auto regression

    pricing (LOG Under & LOG Maaro

    subscription level, pricing mechani

    we compare level of underpricing

    adjusted return (Maaro) and tried ttionship among variables by using t

    Included observations: 79 after a

    Standard errors in ( ) & t-statistics in [ ]

    Variables D(LOGMAARO)

    CointEq1

    0.354942

    (0.37798)

    [ 0.93906]

    D(LOGMAARO(-1

    -0.772243

    (0.36494)

    [-2.11611]

    D(LOGMAARO(-2))

    -0.202505

    (0.29371)

    [-0.68947]

    D(LOGUNDER(-1))

    0.235222

    (0.45764)

    [ 0.51399]

    D(LOGUNDER(-2))

    0.004081

    (0.32926)

    [ 0.01239]

    C

    0.892944

    (0.92384)

    [ 0.96656]

    LOG_DEBEQ

    0.406014

    (0.24486)

    [ 1.95812]

    LOGAPATM

    1.143779

    (0.63709)

    [ 1.99532]

    LOGCPM

    -0.973829

    (1.45314)

    [-0.67015]

    LOGCURRNTR

    -0.318729

    (0.27800)

    [-1.14653]

    LOG MAARO

    R-squared 0.466639

    Adj. R-squared 0.294878

    Sum sq. resids 138.8104

    S.E. equation 1.533858

    F-statistic 2.716798

    Log likelihood -134.3608

    Akaike AIC 3.907868

    Schwarz SC 4.507728

    Mean dependent 0.018713

    S.D. dependent 1.826640

    ntnline)

    13

    model expresses association among the dependent

    ) with independent variables i.e. firms age, issue siz

    m and ownership structure @ 5% & 10% significan

    ith two methods. First is traditional underpricing met

    find any association of market moments. Resultsstatistics and p-value.

    justments

    D(LOGUNDER Variables D(LOGMA

    0.976004

    (0.34811)

    [ 2.80373]

    LOGDEBTORS

    -0.0717

    (0.1171

    [-0.612

    -0.563798

    (0.33610)

    [-1.67747]

    LOGFIXDAST

    -0.0347

    (0.172

    [-0.201

    -0.081807

    (0.27050)

    [-0.30242]

    LOGINTCVR

    0.1385

    (0.148

    [ 0.933

    0.239315

    (0.42148)

    [ 0.56779]

    LOGINVNTRY

    -0.0420

    (0.120

    [-0.348

    -0.031882

    (0.30324)

    [-0.10514]

    LOGPBDTM

    -0.5467

    (1.498

    [-0.364

    0.490037

    (0.85084)

    [ 0.57594]

    LOGPBIDTM

    0.5418

    (0.643

    [ 0.842

    0.379931

    (0.22552)

    [ 1.68472]

    LOGPBITM

    -0.0092

    (0.797

    [-0.011

    0.771619

    (0.58675)

    [ 1.31507]

    LOGROCE

    1.3609

    (0.491

    [ 2.768

    -0.018673

    (1.33832)

    [-0.01395]

    LOGRONW

    -1.6153

    (0.497

    [-3.245

    -0.119307

    (0.25603)

    [-0.46599]

    LOGTERMDEBTE

    -0.0089

    (0.242

    [-0.036

    LOGUNDER

    0.488971Determinant resid covariance (dof

    adj.)0.324403

    117.7405

    1.412657Determinant resid covariance

    2.971229

    -127.8580Log likelihood

    3.743241

    4.343101Akaike information criterion

    -0.007724

    1.718671 Schwarz criterion

    www.iiste.org

    ariable level of under-

    , market capitalization,

    ce level. In this model

    od & second is market

    how a significant rela-

    RO D(LOGUNDER)

    67

    11)

    81]

    -0.035667

    (0.10786)

    [-0.33069]

    29

    0)

    4]

    0.054115

    (0.15878)

    [ 0.34081]

    55

    0)

    4]

    0.088136

    (0.13668)

    [ 0.64485]

    58

    5)

    88]

    -0.003245

    (0.11103)

    [-0.02923]

    12

    9)

    2]

    -1.163609

    (1.38055)

    [-0.84286]

    79

    2)

    18]

    0.608214

    (0.59258)

    [ 1.02638]

    05

    3)

    55]

    0.023359

    (0.73405)

    [ 0.03182]

    50

    4)

    17]

    0.970093

    (0.45279)

    [ 2.14246]

    33

    2)

    8]

    -1.285052

    (0.45839)

    [-2.80340]

    36

    0)

    82]

    -0.171438

    (0.22353)

    [-0.76697]

    0.694054

    0.387118

    -186.7057

    5.790018

    7.049725

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    S.No. Variables

    1 LOG_DEBEQ

    2 LOGAPATM

    3 LOGCPM

    4 LOGCURRNTR

    5 LOGRONW

    6 LOGTERMDEBTE

    7 LOGDEBTORS

    8 LOGFIXDAST

    9 LOGINTCVR

    10

    LOGINVNTRY11 LOGPBDTM

    12 LOGPBIDTM

    13 LOGROCE

    14 LOGPBITM

    Tab

    S.No. Variables

    1 LOG_DEBEQ2 LOGAPATM

    3 LOGCPM

    4 LOGCURRNTR

    5 LOGRONW

    6 LOGTERMDEBTE

    7 LOGDEBTORS

    8 LOGFIXDAST

    9 LOGINTCVR

    10 LOGINVNTRY11 LOGPBDTM

    12 LOGPBIDTM

    13 LOGROCE

    14 LOGPBITM

    Tab

    ntnline)

    14

    t-Statistic

    t- value @ 5% t

    =(1.64)

    Null hy-

    pothesis

    H0

    2.05812 1.64 Rejected

    1.99532 1.64 Rejected

    -0.67015 -1.64 Accepted

    -1.14653 -1.64 Accepted

    -3.24548 -1.64 Rejected

    -0.03682 -1.64 Accepted

    -0.61281 -1.64 Accepted

    -0.20144 -1.64 Accepted

    0.93364 1.64 Accepted

    -0.34888

    -1.64 Accepted

    -0.36472 -1.64 Accepted

    0.84218 1.64 Accepted

    2.76817 1.64 Rejected

    -0.01155 -1.64 Accepted

    le no 6 null hypothesis results by Log Maaro

    t-Statistic

    t- value @ 5% t =

    (1.64)

    Null hy-

    pothesis

    H0

    1.68472 1.64 Accepted1.31507 1.64 Accepted

    -0.01395 -1.64 Accepted

    -0.46599 -1.64 Accepted

    -2.80340 -1.64 Rejected

    -0.76697 -1.64 Accepted

    -0.33069 -1.64 Accepted

    0.34081 -1.64 Accepted

    0.64485 1.64 Accepted

    -0.02923 -1.64 Accepted

    -0.84286 -1.64 Accepted

    1.02638 1.64 Accepted

    2.76817 1.64 Rejected

    0.03182 1.64 Accepted

    le no 7 Null hypothesis results by Log under

    www.iiste.org

    Relationship

    With

    Dependent var

    Positive

    Positive

    No relation

    No relation

    Negative

    No relation

    No relation

    No relation

    No relation

    No relation

    No relation

    No relation

    Positive

    No relation

    Relationship

    With

    Dependent var

    No relationNo relation

    No relation

    No relation

    Negative

    No relation

    No relation

    No relation

    No relation

    No relationNo relation

    No relation

    Positive

    No relation

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    Vol 4, No.14, 2012

    Appendix- List of figures

    Figure no 1 indicating the listed of

    axis we have taken years and on x a

    been underpriced out of total IPOs

    Fig

    Figure 2 Number of I

    0

    50

    100

    150

    2000 2001 2002 2003

    noo

    fipos

    Num

    ntnline)

    15

    the initial public offers at Bombay stock exchange

    is number of IPOs have been listed. It indicates the n

    as listed at BSE.

    ure 1 Number of IPOs and underpricing

    POs was listed at Bombay stock exchange from (1

    2004 2005 2006 2007 2008 2009 2010Year

    ber of IPOs and Underpriced

    www.iiste.org

    ince April 2000. On y

    umber of IPOs that has

    95-2011)

    2011

    Year

    No of ipos

    Underprcd

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    Vol 4, No.14, 2012

    Figure 3

    Figure 4 Total amount wer

    ntnline)

    16

    Total amount raised by IPOs in Indian market

    e raised by IPOs at the Bombay stock exchange fr

    www.iiste.org

    m (1995-2011)

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    Vol 4, No.14, 2012

    Figure 5 Details for IPOs unde

    Figure 6 Graphical rep

    ntnline)

    17

    priced and their pricing mechanism (book build

    esentation of Standard deviation for all independe

    www.iiste.org

    fixed price option)

    nt variables

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    Figure 7Normality test o

    Figure 8: Result of

    ntnline)

    18

    fdependent variable i.e. log underpricing by Jarque

    statistics for Ex-ante variables are used in regressio

    www.iiste.org

    Bera testing

    model

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    igure 9: Result of t statis

    ntnline)

    ics (Line graph) for Ex-ante variables are used in reg

    www.iiste.org

    ression model