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Modeling volatility in sector index returns with GARCH models using an iterated algorithm

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Abstract

Financial market participants are interested in knowing what events can alter the volatility pattern of financial assets and how unanticipated shocks determine the persistence of volatility over time. The present paper studies these issues by detecting time periods of sudden changes in volatility by using the iterated cumulated sums of squares (ICSS) algorithm. Examining five major sectors from January 1992 to August 2003, we found that accounting for volatility shifts in the standard GARCH model considerably reduces the estimated volatility persistence. Our results have important implications regarding asset pricing, risk management, and portfolio selection. (JEL G110, G120)

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References

  • Aggarwal, R, C. Inclan, and R. Leal. 1999. “Volatility in Emerging Markets.”Journal of Financial and Quantitative Analysis 34: 33–55.

    Article  Google Scholar 

  • Atteberry, W.L., and P.E. Swanson. 1997. “Equity Market Integration: The Case of North America.”North American Journal of Economics and Finance 8: 23–37.

    Article  Google Scholar 

  • Andersen, T. G. and T. Bollerslev. 1998. “Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts.”International Economic Review 39: 885–905.

    Article  Google Scholar 

  • Bollerslev, T. 1986. “Generalized Autoregressive Conditional Heteroscedasticity.”Journal of Econometrics 31: 307–327.

    Article  Google Scholar 

  • Bollerslev, T., R.Y. Chou, and K.F. Kroner. 1992. “ARCH Modeling in Finance: A Review of the Theory and Empirical Evidence.”Journal of Econometrics 52: 5–59.

    Article  Google Scholar 

  • Cai, J. 1994. “A Markov Model of Switching-Regime ARCH.”Journal of Business and Economic Statistics 12: 309–316.

    Article  Google Scholar 

  • Campbell, J. Y., M. Lettau, B.G. Malkiel, and Y. Xu. 2001. “Have Individual Stock Become More Volatile? An Empirical Exploration of Idiosyncratic Risk.”Journal of Finance 56: 1–43.

    Article  Google Scholar 

  • Chen, N., R. Roll, and S. Ross. 1986. “Economic Forces and the Stock Market.”Journal of Business 59: 383–403.

    Article  Google Scholar 

  • Engle, R.F. 1982. “Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of U.K. Inflation.”Econometrica 50: 987–1007.

    Article  Google Scholar 

  • Engle, R.F., and T. Bollerslev. 1986. “Modeling the Persistence of Conditional Variances.”Econometric Reviews 5: 1–50.

    Article  Google Scholar 

  • Engle, R., T. Ito, and W. Lin. 1990. “Meteor Showers or Heat Waves?: Heteroscedasticity Intra-Daily Volatility in the Foreign Exchange Markets.”Econometrica 58: 525–542.

    Article  Google Scholar 

  • Ewing, B.T. 2002. “The Transmission of Shocks among S&P Indexes.”Applied Financial Economics 12: 285–290.

    Article  Google Scholar 

  • Fleming, J., C. Kirby, and B. Ostdiek. 1998. “Information and Volatility Linkages in the Stock, Bond, and Money Markets.”Journal of Financial Economics 49: 111–137.

    Article  Google Scholar 

  • Geske, R., and R. Roll. 1983. “The Monetary and Fiscal Linkage between Stock Returns and Inflation.”Journal of Finance 38: 1–33.

    Article  Google Scholar 

  • Hamilton, J.D. and R. Susmel. 1994. “Autoregressive Conditional Heteroscedasticity and Changes in Regime.”Journal of Econometrics 64: 307–333.

    Article  Google Scholar 

  • Inclan, C., and G.C. Tiao. 1994. “Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance.”Journal of the American Statistical Association 89: 913–923.

    Article  Google Scholar 

  • Karolyi, G.A. 1995. “A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada.”Journal of Business and Economic Statistics 13: 11–25.

    Article  Google Scholar 

  • Kolb, R.W. 1997. Options. Malden, MA: Blackwell Publishers, Inc.

    Google Scholar 

  • Lamoureux, C.G., and W.D. Lastrapes. 1990. “Persistence in Variance, Structural Change and the GARCH Model.”Journal of Business and Economic Statistics 68: 225–234.

    Article  Google Scholar 

  • Lastrapes, W.D. 1989. “Exchange Rate Volatility and U.S. Monetary Policy: An ARCH Application.”Journal of Money, Credit and Banking 21: 66–77.

    Article  Google Scholar 

  • Lee, B.S. 1992. “Causal Relations among Stock Returns, Interest Rates, Real Activity, and Inflation.”Journal of Finance 47: 1591–603.

    Article  Google Scholar 

  • Lobo, B.J. 2002. “Large Changes in Major Exchange Rates: A Chronicle of the 1990s.”Applied Financial Economics 12: 805–811.

    Article  Google Scholar 

  • Malik, F. 2003. “Sudden Changes in Variance and Volatility Persistence in Foreign Exchange Markets.”Journal of Multinational Financial Management 13: 217–230.

    Article  Google Scholar 

  • Payne, J.E., B.T. Ewing, and C. Sowell. 1999. “NAFTA and North American Stock Market Linkages: An Empirical Note.”North American Journal of Economics and Finance 10: 443–451.

    Article  Google Scholar 

  • Poterba, J.M., and L. Summers. 1986. “The Persistence of Volatility and Stock Market Fluctuations.”American Economic Review 76: 1143–1151.

    Google Scholar 

  • Ross, S.A. 1989. “Information and Volatility: The No-Arbitrage Martingale Property to Timing and Resolution Irrelevancy.”Journal of Finance 44: 1–17.

    Article  Google Scholar 

  • Serletis, A., and M. Sondergard. 1996. “Permanent and Temporary Components of Canadian Stock Prices.”Applied Financial Economics 6: 259–269.

    Article  Google Scholar 

  • Thorbecke, W. 1997. “On Stock Market Returns and Monetary Policy.”Journal of Finance 52: 638–654.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Economics and Finance, Pennsylvania State University-Berks Campus, P.O. Box 7009, 19610-6009, Reading, PA

    Farooq Malik

  2. Department of Economics, Texas Tech University, 79409-1014, Lubbock, TX

    Syed Aun Hassan

Authors
  1. Farooq Malik
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  2. Syed Aun Hassan
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Correspondence to Farooq Malik.

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Malik, F., Hassan, S.A. Modeling volatility in sector index returns with GARCH models using an iterated algorithm. J Econ Finan 28, 211–225 (2004). https://doi.org/10.1007/BF02761612

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