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A cause and effect relationship between foreign institutional investment flows and stock market returns vietnam case study

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Tiêu đề A Cause and Effect Relationship Between Foreign Institutional Investment Flows and Stock Market Returns: Vietnam Case Study
Tác giả Nguyen Xuan Phap
Người hướng dẫn Dr. Duong Nhu Hung
Trường học University of Economics Ho Chi Minh City
Chuyên ngành Development Economics
Thể loại Thesis
Năm xuất bản 2012
Thành phố Ho Chi Minh City
Định dạng
Số trang 105
Dung lượng 292,71 KB

Cấu trúc

  • VIETNAM - NETHERLANDS PROGRAMME FOR M.A IN DEVELOPMENT ECONOMICS

  • NGUYEN XUAN PHAP

  • VIETNAM - NETHERLANDS PROGRAMME FOR M.A IN DEVELOPMENT ECONOMICS

  • NGUYEN XUAN PHAP

  • Dr. DUONG NHU HUNG

    • HO CHI MINH CITY, August 2012

    • CERTIFICATION

    • NGUYEN XUAN PHAP

    • ACKNOWLEDGMENTS

    • ABSTRACT

    • ABBREVIATIONS

    • LIST OF TABLES

    • LIST OF FIGURES

    • LIST OF APPENDICES

    • Chapter I : INTRODUCTION

      • Vietnam stock market overview

      • FII in Vietnam

    • 1.1. Problem statement

    • 1.2. Research objectives

    • 1.3. Research scope

    • 1.4. Research questions

    • 1.5. Thesis structure

    • Chapter II : LITERATURE REVIEW

    • 2.1. Theory background

    • 2.2. Empirical studies

    • 2.3. Conceptual frame work

    • Chapter III : DATA SOURCE, RESEARCH METHODOLOGY AND HYPOTHESIS

    • 3.1. Data source & variables

    • 3.2. Methodology

    • 3.2.1. Unit Root Test

    • 3.2.2. Granger causality test

      • Standard Granger causality test

    • 3.2.3. VAR BGARCH-BEKK (1,1) model

    • 3.3. Hypotheses

    • Test 1:

    • Test 2:

    • Test 3:

    • Test 4:

    • Test 5:

    • Test 6:

    • Chapter IV : FINDINGS AND DISCUSSIONS

    • 4.1. Data and descriptive statistics

    • 4.2. Analysis results

      • Unit root test result

      • Granger causality test result

      • VAR- BGARCH-BEKK(1,1) test result

    • 4.3. Hypothesis testing and findings

    • Chapter V : CONCLUSIONS, POLICY IMPLICATIONS AND LIMITATIONS

    • 5.1. Conclusions

    • 5.2. Policy implications

    • Recommendations for Government:

    • Recommendations for individual investors:

    • 5.3. Limitations

    • References

  • Appendix

Nội dung

Problemstatement

FIIflows,oftenreferredtohotmoney withshort- termandspeculativec h a r a c t e r , areextremelyvolatilecomparedtootherformsof capitalflows.Foreignportfolio investorswhocomeinwhentheycangainmoneyi nmarketandleaveitrightawaywhentheyrecognizeimpendingtroublehencedes tabilizetheeconomyo f thehostcountry.Moreover,securitiesmarketofVietnamiss mallandimmaturewhereastheforeignfundsarenowsobig,possiblytodominatethe capitalmarket.H e n c e , theremaybethepotentialofthatFIIcapitalfliesoutof Vietnammarket,drivethepricesdownsharplytherebyinduceconsiderableinstabilityinthe Vietnams t o c k market.

However,theissueofwhetherFIIflowaffectsstock marketreturnor ina co n t rar y directionis stillon controversy.An analysis ofthedirectionof causalitytou n d e r s t a n d t h e p o s s i b l e e f f e c t ofv o l a t i l i t y ofF I I f l o w o n t h e do mesticf i n a n c i a l marketa n d e c o n o m y i s i m p o r t a n t fromt h e viewpointo f policym a k e r s N e v e r t h e l e s s , thisissuestillremainsunresolved.

Researchobjectives

Researchscope

Thiss t u d y j u s t f o c u s e s o n H o ChiMinhS t o c k E x c h a n g e ( H O S E ) onlyt o determinetherelationshipbetweenFIIflowandstock marketreturn becauseHOSEc a n representtoVietnamstockmarketduetothelargesizeofHOSEi ncapitalasw e l l asbustlingforeigntradingactivities.

Researchquestions

 DoesFII flow volatility haveshort-term or long-termeffect on thes t o c k marketreturnvolatilityand/orviceversa?

Thesisstructure

Accordingly,t h e r e m a i n d e r of t h e pap er is or gan ize das fo ll ow s T h e n ex t c h a p t e r dealswithliteraturereviewwhilethethirdchaptershowsthedata source,researchm e t h o d o l o g y a n d h y p o t h e s i s C h a p t e r f o u r d i s c u s s e s t h e f i n d i n g s o f t h e c a s e study.Finally,conclusions, policyimplicationsandlimitationsarepresentedinc h a p t e r five.

Theorybackground

Thetheorysaysthatlocal investorscomprehend about local financialmarketmoret h a n f o r e i g n i n v e s t o r s , l e a d i n g t o a p o s i t i v e f e e d b a c k t r a d i n g byf o r e i g n p o r t f o l i o i n v e s t o r s A p o s i t i v e f e e d b a c k t r a d i n g s t r a t e g y l e a d s t o buyo r

Decisions to sell or buy stocks can significantly impact stock prices, leading to increased foreign investment inflows Conversely, selling or buying during rising or falling stock prices is viewed as negative feedback trading Local investors, benefiting from insider information, may trade stocks based on new insights, causing price fluctuations that attract foreign investors who react to these trends Local investors are seen as information traders, while foreign investors are classified as positive or negative feedback traders, responding to market movements Bikhchandani and Sharma (2001) proposed a theory on mutual fund behavior, highlighting that investors often adjust their portfolios based on sudden price changes, exhibiting either positive or negative feedback behavior by buying high and selling low or buying low and selling high.

Thecontrariantheoryofflowsaffectingcontemporaneousandfuturest ockmarketreturnscoexists Froot, O'Connell an dSeasholes (2001)showedt hatinternationalportfolioflowsledpricechanges.Theacceptableexplanationfo rther e v e r s e directionofcausalityfromFIIflowstostockmarketreturnsisthe'herdin gbehavi or' o f f o r e i g n i n v e s t o r s A c c o r d i n g t o P a r k a n d S a b o u r i a n ( 2 0

1 1 ) , herdingb eh a v i o r i s inw h i c h agentss w i t c h b e h a v i o r f r o m b u y i n g t o sellingo r i n thec o n t r a r y direction,followingthecrowd.Theseherdersactagainsttheiro wni n f o r m a t i o n andmaketheirinvestmentdecisionsbasedontheothertraders’ decisions.I n f o r m a t i o n externalitiesh a v e c o n d i t i o n e d r a t i o n a l h e r d i n g too c c u r Accordingly,rationalherdinghappenswhenagents’owninfor mationislesse f f i c i e n t o r n e v e r r e v e a l e d t o p u b l i c ( R e d d i n g , 1 9 9

6 ) b e c a u s e i t i s c o v e r e d byi n f o r m a ti o n ofothertraders’observeddecisions.Moreover,phenomenonofmutualinvestorswhowatchtheotherinvestors’behaviorfortra dingisconsideredherdingb e h a v i o r (Bikhchandani&Sharma,2001).

Empiricalstudies

In the 1990s and 2000s, various studies examined the relationship between Foreign Institutional Investor (FII) flow and domestic stock market returns, yielding mixed results Malarvizhi and Jaya (2009) investigated the impact of FII flow on the Indian stock market, specifically using the National Stock Exchange (NSE) as a representative index Their findings revealed a unidirectional causal relationship, indicating that FII flow positively influenced stock market returns, particularly the Nifty Index, while there was no evidence of the reverse effect In contrast, other studies, such as those by Brennan and Cao, have suggested different dynamics in this relationship.

99 7) f ou ndapositivecorrelationbetweenFIIflowandstockmarketreturn.Thispositiver e l a t i o n s h i p isexplainedduetoinformationdisadvantageofforeigninvestors andt h en theytradeasmomentumtraders.Evidencefromcausalitytestscondu ctedbyMukherjee,B o s e a n d Coondoo(2002)suggestedt h a t F I I f l o w s toa n d f r o m t h e domesticmarkettendedtobecausedbyreturnsinthedomesticequitymarketb utn o t inacontrarydirection.GordonandGupta(2003)indicatedthatlaggeddomestics t o c k marketreturnhadanegativeeffecttoFIIflow.

Subsequently,byu s i n g dailyd a t a , B o s e a n d C o o n d o o ( 2 0 0 4 ) f o u n d l i g h t eviden ce ofbidirectionalcausalrelationshipbetweenreturnonthestoc kindexofB o m b a y S e c u r i t y E x c h a n g e ( B S E ) a n d F I I n e t i n f l o w C h a k r a b o r t y ( 2 0 0 7 ) u s e d m o n t h l y dataobtainedfromBSEandemployedpair- wiseGrangercausalitytesttoinvestigatethec a u s a l r e l a t i o n s h i p b e t w e e n F I

I f l o w a n d s t o c k marketr e t u r n i n India.Theyhavefoundtheevidenceofbidirection alcausalitybetweenFIIflowands t o c k marketreturn,whereasFII flowis morecausedbystock marketreturn.WhileB a b u andPrabheesh(2008)employed VAR approach, Gr angercausality testand dataondailybasisfromNSE,theyhavealsofoundtheexistenceofbidirectional cau sal relationshipbetweenFIIflowandstockreturninIndiastockmarket,wher easFIIflowismoredrivenbystockreturn.Lai,LowandShiu(2008)studiedin

T S E 1, triedusingpair-wiseGrangercausality testand foundthesameresult thatF I I tendstobeamomentumtraderandconversely,theycanpredictthestockreturn.J o (20 02)employedacombinationofTwoStageLeastSquaredandARCHmodelstosho wthatFIIflowsinducedagreatervolatilityinmarketcomparedtodomestici n v e s t o r s i n K o r e a n s t o c k m a r k e t P a v a b u t r ( 2 0 0 4 ) u s e d modifiedG A R C H (

1 , 1 ) toidentifytheimpactofFIIflowtostockreturnvolatilityandfoundt h e eviden ce of th at foreignnet flowhaspositiveeffectonmarketvolatility Rai a n d

Bhanumurthy (2004) analyzed monthly data from January 1993 to November 2002 to investigate the impact of stock returns, market risk, and other real factors on Foreign Institutional Investor (FII) flows into India Utilizing the TARCH model to capture the asymmetric effects of good and bad news that lead to volatility in returns, the study found that stock returns are the primary driving force behind FII investments, with foreign investors responding more strongly to negative news than positive news The research suggests that stabilizing stock market volatility could attract more FII However, no evidence was found to support a reverse causal relationship from FII to stock returns.

2 0 0 1 t o December3 1 s t , 2 0 0 9 a n d employedGrangercausalitytest,VAR model,Waldtest,Im pu lse ResponseF u n c t i o n toidentifytheinvestmentbehavi orofvariousinstitutionalinvestors.FII’sar ef o u n d t o b e e n g a g e d i n t h e p o s i t i v e f e e d b a c k t r a d i n g a c t i v i t i e s a n d c a u s i n g volatilityinIndianstockmarket.

Period&freq uencyofdata Market Methodology Keyvariables Findings

FII(netpurchasesinqua rtertexpressedasaprop ortionoftheaverageab solutelevelofnetpurcha seso v erthepreviousfo urquarters)

Korea TSTL(twoStag eLeastSquares) ARCHmodel

FIIflowsinduc esagreatervol atilityinmarket scomparedtod omesticinvesto rs

- FII(netinvestmentas aproportionofthesizeo fmarketcapitalizati on)

4 Korea Composite StockPriceIndex andnotinacontr arydirection

Laggeddomesti cSMRh as aneg ativeeffecttoFI Iflow

Lightevidenceo fbidirectionalc ausalrelations hipbetweenre turnonthestock indexofBSEan dFIInetinflow

Stabilizationo fstockmarketv olatilitywou ldattractmoreFII.T h e reversecausald irectionhasn otbeenfound.

- FII(netFIIflowsasapro portionoftheprecedin gmonth'sBSEmarketc apitalization) -SMR(BSESensex)

Bi- causalrel atio nshipbetwee nFIIflowandS MR,whereasFI Iflowismoreca usedbySMR

India VAR approach,Gran gercausalitytes t,ImpulseRes ponseFunction

Theexistenceof bidirectionalc ausalrelations hipbetweenFIIflowandSMR,whereasFIIflo waremoredrive nbySMR

India VARmodel,G rangercausali tytest,Impulse Responsefunct ion,covarian cedecompositi on

FII’sarefoundto beengagedinth epositivefeedb acktradingacti vitiesandcausi ngvolatilityinI ndianstockmar ket

Foreign Institutional Investment (FII) Stock market return

Conceptualframework

Datasource&variables

Aperiodofeightconsecutivefinancialyearsrangingfrom2004to2011is selectedf o r empiricalstudy.B e s i d e s d a t a o f t h e w h o l e p e r i o d , formorer o b u s t testing,wedividetherangeintotwosub- periods:The1 sti s fromJan.2004toDec.2 0 0 7 and the 2ndo n e i sfromJan 2008to Dec.

2011.Itmeansthat wetestthe causalrel ati on sh ip betweenFIIflowandstockmarketreturnbeforeandduringf inancialcrisis.

MonthlynetFIIflows(i.e.,grosspurchases─grosssalesbyforeigninvestors )intotheVietnamequitymarketandmonthlystockmarketreturnwhicha r e calcul ateddatafromthesecondarydataobtainedfromHOSEwebsitesuchasgr oss pu rchases,grosssalesbyforeigninvestors,valueofclosingVN-

Index.H o w e v e r , t h e t w o p r o x i e s be l o w a r e c o n s i d e r e d s u i t a b l e c h o i c e for es t i m a t i o n t o investigatethecausalitybetweenFIIflowandstockmarketreturninVietnam

 MonthlyreturnonVN-Index(R): Rt=(Pt–Pt-1)/Pt-1t:Month

In the study by Chakraborty (2007) and Lai, Low, and Shiu (2008), the ratio of monthly net Foreign Institutional Investor (FII) flow to monthly trading volume is utilized as a measure of FII flow Monthly trading volume is preferred over monthly market capitalization or the value of outstanding shares in the context of Vietnam, where the percentage of deposited shares as a proportion of registered shares is only seventy, and the trading volume percentage is even lower Thus, this proxy effectively reflects the activity of foreign investors in the Ho Chi Minh Stock Exchange (HOSE).

Indexiscalculatedastheratiooftheexcessofindexv al u e ina specificmonthovertheprecedingmonthto precedingmonth’sVN-indexv a l u e

Methodology

UnitRootTest

 iis theestimatorofthelaggedfirstdifferenceofYttistime βiscorrespondingcoefficientu tis w hitenoiseerrorterm.

H0:UnitRoot,=0(Dataisnotstationaryandneedstobedifferenced) H a:Stationary,

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