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Stock Market and Aggregate Investment Behavior in Malaysia: An Empirical Analysis

  • South East Asia Paper
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Transition Studies Review

Abstract

The present paper analyzes the role of stock market, more specifically real stock prices and stock market uncertainty/volatility, on aggregate investment behavior for an emerging market, Malaysia. Employing the autoregressive distributed lags approach to cointegration test, the paper establishes a long run equilibrium that ties the aggregate investment to its determinants—real income, real stock prices, real lending rate and stock market volatility. In the long run, we document a positive relation between aggregate investment and real stock prices and a negative relation between aggregate investment and stock market volatility. These results are further supported by our analyses of their dynamic interactions based on Granger causality and impulse-response functions. Based on the results, the real stock market prices, which has yet reached the level recorded prior to the crisis, may have explained the low investment in Malaysia after the Asian crisis. Moreover, the stock market volatility can also post a threat to the investment performance.

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Notes

  1. As shown by De Santis and Imrohoroglu (1997), the GED has the ability to well capture the leptokurtic properties of financial series. The value of parameter v below 2, which we find in our case, suggests thicker tails of the distribution than the standard normal, i.e. the leptokurtic property. We also document the presence of asymmetric volatility in the Malaysian market, which is well captured by EGARCH variance specification. The GARCH-type models are now standard and, as such, are not detailed here.

References

  • Andersen TG, Bollerslev T (1998) Answering the skeptics: yes, standard volatility models do provide accurate forecasts. Int Econ Rev 39:885–905

    Article  Google Scholar 

  • Andersen TG, Bollerslev T, Diebold FX, Labys P (2003) Modeling and forecasting realized volatility. Econometrica 71(2):579–625

    Article  Google Scholar 

  • Ang JB (2010) Determinants of private investment in Malaysia: what causes the post crisis slumps? Contemp Econ Policy 28(3):378–391

    Article  Google Scholar 

  • Barro R (1990) The stock market and investment. Rev Financial Stud 3:115–131

    Article  Google Scholar 

  • Bernanke BS (1983) Irreversibility, uncertainty and cyclical investment. Quart J Econ 98:85–106

    Article  Google Scholar 

  • Blanchard O, Rhee C, Summers L (1993) The stock market, profit, and investment. Quart J Econ 108(1):115–136

    Article  Google Scholar 

  • Chirinko RS (1993) Business fixed investment spending: modeling strategies, empirical results, and policy implications. J Econ Lit 31(4):1875–1911

    Google Scholar 

  • Cochrane J (1991) Production-based asset pricing and the link between stock returns and economic fluctuations. J Finance 46:209–237

    Article  Google Scholar 

  • De Santis G, Imrohoroglu S (1997) Stock returns and volatility in emerging financial markets. J Int Money Finance 16(4):561–579

    Article  Google Scholar 

  • Engle R, Granger CWJ (1987) Co-integration and error correction: representation, estimation, and testing. Econometrica 55:251–276

    Article  Google Scholar 

  • Episcopos A (1995) Evidence on the relationship between uncertainty and irreversible investment. Quart Rev Econ Finance 35(1):41–52

    Article  Google Scholar 

  • Federer JP (1993) The impact of uncertainty on aggregate investment spending: an empirical analysis. J Money Credit Banking 25(1):30–48

    Article  Google Scholar 

  • Fischer S, Merton RC (1984) Macroeconomics and finance: the role of the stock market. Carnegie Rochester Conf Ser Public Policy 21:57–108

    Article  Google Scholar 

  • Granger CWJ, Newbold P (1974) Spurious regressions in econometrics. J Econ 2:111–120

    Google Scholar 

  • Hu Z (1995) Stock market volatility and corporate investment. IMF working paper, WP/95/102

  • Ibrahim MH (2006) Stock prices and bank loan dynamics in a developing country: the case of Malaysia. J Appl Econ 9(1):71–89

    Google Scholar 

  • Ingersoll J Jr, Ross S (1992) Waiting to invest: investment and uncertainty. J Bus 65(1):1–29

    Article  Google Scholar 

  • Johansen J (1988) Statistical analysis of cointegrating vectors. J Econ Dyn Control 12:231–254

    Article  Google Scholar 

  • Johansen J, Juselius K (1990) Maximum likelihood estimation and inferences on cointegration—with application to the demand for money. Oxf Bull Econ Stat 52:169–210

    Article  Google Scholar 

  • Jongwanich J, Kohpaiboon A (2008) Private investment: trend and determinants in Thailand. World Dev 36(10):1709–1724

    Article  Google Scholar 

  • Kinkyo T (2007) Explaining Korea’s lower investment levels after the crisis. World Dev 35:1120–1133

    Article  Google Scholar 

  • Koop G, Pesaran MH, Potter SM (1996) Impulse response analysis in nonlinear multivariate models. J Econ 74:119–147

    Google Scholar 

  • Kutan AM, Wyzan ML (2005) Explaining the real exchange rate in Kazakhstan, 1996–2003: is Kazakhstan vulnerable to the Dutch disease? Econ Syst 29:242–255

    Article  Google Scholar 

  • Lamont OA (2002) Investment plans and stock returns. J Finance 55:2719–2745

    Article  Google Scholar 

  • Laopodis NT (2009) Real investment and stock prices in the USA. Manag Finance 35(1):78–100

    Google Scholar 

  • Laopodis NT, Sawhney BL (2002) Dynamic interactions between wall street and main street. Quart Rev Econ Finance 42:803–815

    Article  Google Scholar 

  • Laopodis NT, Sawhney BL (2007) Dynamic interactions between private investment and the stock market: evidence from cointegration and error-correction models. Appl Econ 17:257–269

    Google Scholar 

  • Maddala GS, Kim IM (1998) Unit roots, cointegration, and structural change. Cambridge University Press, Cambridge

    Google Scholar 

  • Masih AMM, Masih R (1996) Empirical tests to discern the dynamic causal chain in macroeconomic activity: new evidence from Thailand and Malaysia based on a multivariate cointegration/vector error-correction modelling approach. J Policy Model 18(5):531–560

    Article  Google Scholar 

  • Merton R (1980) On estimating the expected return on the market: an exploratory investigation. J Finance Econ 8(4):323–361

    Article  Google Scholar 

  • Morck R, Shleifer A, Vishny R (1990) The stock market and investment: is the market a sideshow? Brookings Pap Econ Act 5:157–202

    Article  Google Scholar 

  • Narayan PK (2005) The saving and investment nexus for China: evidence from cointegration tests. Appl Econ 37:1979–1990

    Article  Google Scholar 

  • Nelson DB (1991) Conditional heteroskedasticity in asset returns: a new approach. Econometrica 59:347–370

    Article  Google Scholar 

  • Panopoulou E, Pittis N (2004) A comparison of autoregressive lag and dynamic OLS cointegration estimators in the case of a serially correlated cointegration error. Econ J 7:585–617

    Google Scholar 

  • Papapetrou E (2001) Oil price shocks, stock market, economic activity and employment in Greece. Energy Econ 23:511–532

    Article  Google Scholar 

  • Pesaran MH, Shin Y (1998) Generalized impulse response analysis in linear multivariate models. Econ Lett 58:17–29

    Article  Google Scholar 

  • Pesaran MH, Shin Y, Smith RJ (2001) Bounds testing approaches to the analysis of level relationships. J Appl Econ 16:289–326

    Article  Google Scholar 

  • Phillips PCB (1986) Understanding spurious regressions in econometrics. J Econ 33:311–340

    Google Scholar 

  • Phillips PCB, Hansen BE (1990) Statistical inference in instrumental variables regression with I(1) process. Rev Econ Stud 57(1990):99–125

    Google Scholar 

  • Pindyck RS (1986) Capital risk and models of investment behavior. Sloan School of Management, Massachusetts Institute of Technology, USA (working paper no. 1819-86)

  • Pindyck RS (1991) Irreversibility, uncertainty and investment. J Econ Lit 29:1110–1148

    Google Scholar 

  • Ramaswamy R, Slok T (1998) The real effects of monetary policy in the European Union: what are the differences? IMF Staff Pap 45(2):374–396

    Article  Google Scholar 

  • Saikkonen P (1991) Asymptotically efficient estimation of cointegrating regressions. Econ Theory 7:1–21

    Article  Google Scholar 

  • Saman C (2010) Macroeconomic uncertainty and investment—empirical analysis for Romania. Romanian J Econ Forecast 13(2):155–164

    Google Scholar 

  • Selover DD, Round DK (1996) Business cycle transmission and interdependence between Japan and Australia. J Asian Econ 7:569–602

    Article  Google Scholar 

  • Sims CA (1980) Macroeconomics and reality. Econometrica 48:1–48

    Article  Google Scholar 

  • Stock JH, Watson M (1993) A simple estimator of cointegrating vectors in higher order integrated systems. Econometrica 61:783–820

    Article  Google Scholar 

  • Wahid ANM, Jalil A (2010) Financial development and GDP volatility in China. Econ Notes 39(1/2):27–41

    Article  Google Scholar 

Download references

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Correspondence to Mansor H. Ibrahim.

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Ibrahim, M.H., Ahmed, A. Stock Market and Aggregate Investment Behavior in Malaysia: An Empirical Analysis. Transit Stud Rev 20, 265–284 (2013). https://doi.org/10.1007/s11300-013-0280-8

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