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Long memory properties and asymmetric effects of emerging equity market Evidence from Malaysia

Long memory properties and asymmetric effects of emerging equity market Evidence from Malaysia Purpose – The purpose of this paper is to examine the long memory property of equity returns and volatility of emerging equity market by focusing on the Malaysian equity market, namely the Kuala Lumpur Stock Exchange (KLSE). Design/methodology/approach – The study adopts the Fractionally Integrated GARCH (FIGARCH) model and Fractionally Integrated Asymmetric Power ARCH (FIAPARCH), focusing on the Malaysian data covering the period from April 15, 2004 to April 30, 2007. Findings – The study finds evidence of long memory property as well as asymmetric effects in the volatility of the KLSE. The traditional ARCH/GARCH is shown to be insufficient in modeling the volatility persistence. The FIAPARCH specification outperforms the FIGARCH model by capturing both asymmetry effects and long memory in the conditional variance. Research limitations/implications – The results of this study have practical implications for the investors intending to invest in the emerging markets such as Malaysia. Understanding volatility and developing the appropriate models are important since volatility can be a measure of risk which is highly relevant in forecasting the conditional volatility of returns for portfolio selection, asset pricing, and value at risk, option pricing and hedging strategies. Originality/value – This study contributes in providing the empirical evidence on the long memory property of equity returns and volatility of an emerging equity market with reliable estimation models, which is currently lacking, particularly for emerging markets. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Journal of Risk Finance Emerald Publishing

Long memory properties and asymmetric effects of emerging equity market Evidence from Malaysia

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Publisher
Emerald Publishing
Copyright
Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
ISSN
1526-5943
DOI
10.1108/15265941111176109
Publisher site
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Abstract

Purpose – The purpose of this paper is to examine the long memory property of equity returns and volatility of emerging equity market by focusing on the Malaysian equity market, namely the Kuala Lumpur Stock Exchange (KLSE). Design/methodology/approach – The study adopts the Fractionally Integrated GARCH (FIGARCH) model and Fractionally Integrated Asymmetric Power ARCH (FIAPARCH), focusing on the Malaysian data covering the period from April 15, 2004 to April 30, 2007. Findings – The study finds evidence of long memory property as well as asymmetric effects in the volatility of the KLSE. The traditional ARCH/GARCH is shown to be insufficient in modeling the volatility persistence. The FIAPARCH specification outperforms the FIGARCH model by capturing both asymmetry effects and long memory in the conditional variance. Research limitations/implications – The results of this study have practical implications for the investors intending to invest in the emerging markets such as Malaysia. Understanding volatility and developing the appropriate models are important since volatility can be a measure of risk which is highly relevant in forecasting the conditional volatility of returns for portfolio selection, asset pricing, and value at risk, option pricing and hedging strategies. Originality/value – This study contributes in providing the empirical evidence on the long memory property of equity returns and volatility of an emerging equity market with reliable estimation models, which is currently lacking, particularly for emerging markets.

Journal

The Journal of Risk Finance – Emerald Publishing

Published: Nov 8, 2011

Keywords: Malaysia; Emerging markets; Equity capital; Stock returns; Stock exchanges; Long memory process; Fractionally Integrated Asymmetric Power ARCH; Stock market volatility

References

  • Heterogenous information arrivals and return volatility dynamics: uncovering the long‐run in high frequency returns
    Anderson, T.G.; Bollerslev, T.
  • Are there long cycles in common stock returns?
    Aydogan, K.; Booth, G.C.
  • Fractionally integrated generalized autoregressive conditional heteroscedasticity
    Baillie, R.T.; Bollerslev, T.; Mikkelsen, H.
  • Further long memory properties of inflationary shocks
    Baillie, R.T.; Han, Y.W.; Kwon, T.G.
  • Long memory in the Greek stock market
    Barkoulas, J.T.; Baum, C.F.; Tkavlos, N.
  • Generalized autoregressive conditional heteroskedasticity
    Bollerslev, T.
  • Modeling and pricing long memory in stock market volatility
    Bollerslev, T.; Mikkelsen, H.O.A.
  • Quasi‐maximum likelihood estimation and inference in dynamic models with time‐varying covariances
    Bollerslev, T.; Wooldridge, J.M.
  • A search for long memory in international stock market returns
    Cheung, Y.; Lai, K.
  • Some international evidence regarding the stochastic behavior of stock returns
    Crato, N.
  • A long memory property of stock returns and a new model
    Ding, Z.; Granger, C.W.J.; Engle, R.F.
  • Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation
    Engle, R.F.
  • Modeling the persistence of conditional variances
    Engle, R.F.; Bollerslev, T.
  • Time‐varying volatility and the dynamic behavior of the term structure
    Engle, R.F.; Ng, V.K.
  • Long‐term dependence in common stock returns
    Greene, M.T.; Fielitz, B.D.
  • The estimation and application of long memory time series models
    Geweke, J.; Porter‐Hudak, S.
  • Predictable risk and returns in emerging markets
    Harvey, C.R.
  • Long term storage capacity of reservoirs
    Hurst, H.
  • On the long memory properties of emerging capital markets: evidence from Istanbul stock exchange
    Kilic, R.
  • GARCH 2.2: an Ox package for estimating and forecasting various ARCH models
    Laurent, S.; Peters, J.P.
  • Asymptotic properties of the maximum likelihood estimator and test of the stability of parameters of the GARCH and IGARCH models
    Lee, S.W.; Hansen, B.E.
  • Long‐term memory in stock market prices
    Lo, A.W.
  • Real and spurious long‐memory properties of stock market data (with discussion)
    Lobato, I.N.; Savin, N.E.
  • When can price be arbitraged efficiently? A limit to the validity of the random walk and martingale models
    Mandelbrot, B.B.
  • Conditional heteroskedasticity in asset returns: a new approach
    Nelson, D.B.
  • Maximum likelihood estimation of stationary univariate fractionally integrated time series models
    Sowell, F.
  • Modeling Financial Time Series
    Taylor, S.
  • The conditional heteroscedasticity of the yen‐dollar exchange rate
    Tse, Y.K.
  • On estimation of long memory time series models
    Yajima, Y.