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An Empirical Study of Volatility in Seven Southeast Asian Stock Markets Using ARV Models

Author

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  • Mike K.P. So
  • K. Lam
  • W.K. Li

Abstract

This paper investigates the volatility persistence, volatility variability from day to day and transmission of volatility in seven Southeast Asian stock markets from 1980 to 1991 using the ARV approach. We found strong evidence that shocks to volatility are persistent in Taiwan. Moreover, the Stock Exchange of Thailand Daily Index has the strongest interday volatility fluctuation. Instantaneous causality of volatility among six of the seven markets (except Seoul) was discovered. Besides, there is significant volatility spillover effect from Hong Kong to Taiwan, Malaysia to Singapore and Singapore to Malaysia in the period 1980 to 1991.

Suggested Citation

  • Mike K.P. So & K. Lam & W.K. Li, 1997. "An Empirical Study of Volatility in Seven Southeast Asian Stock Markets Using ARV Models," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(2), pages 261-276, March.
    • Handle: RePEc:bla:jbfnac:v:24:y:1997:i:2:p:261-276
    DOI: 10.1111/1468-5957.00104
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    Cited by:

    1. Terrance Grieb, 2015. "Mean and volatility transmission for commodity futures," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(1), pages 100-118, January.
    2. Chakrabarti, Rajesh & Roll, Richard, 2002. "East Asia and Europe during the 1997 Asian collapse: a clinical study of a financial crisis," Journal of Financial Markets, Elsevier, vol. 5(1), pages 1-30, January.
    3. Wenshwo Fang, 2002. "The effects of currency depreciation on stock returns: evidence from five East Asian economies," Applied Economics Letters, Taylor & Francis Journals, vol. 9(3), pages 195-199.
    4. In, Francis & Kim, Sangbae & Yoon, Jai Hyung & Viney, Christopher, 2001. "Dynamic interdependence and volatility transmission of Asian stock markets: Evidence from the Asian crisis," International Review of Financial Analysis, Elsevier, vol. 10(1), pages 87-96.
    5. So, Mike K.P. & Kwok, Susanna W.Y., 2006. "A multivariate long memory stochastic volatility model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 362(2), pages 450-464.
    6. Silvia S.W. Lui, 2006. "An Empirical Study of Asian Stock Volatility Using Stochastic Volatility Factor Model: Factor Analysis and Forecasting," Working Papers 581, Queen Mary University of London, School of Economics and Finance.
    7. Mike So & K. Lam & W. K. Li, 1999. "Forecasting exchange rate volatility using autoregressive random variance model," Applied Financial Economics, Taylor & Francis Journals, vol. 9(6), pages 583-591.
    8. Kim Liow & Zhiwei Chen & Jingran Liu, 2011. "Multiple Regimes and Volatility Transmission in Securitized Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 295-328, April.
    9. Pérez, Ana & Ruiz, Esther & Veiga, Helena, 2009. "A note on the properties of power-transformed returns in long-memory stochastic volatility models with leverage effect," Computational Statistics & Data Analysis, Elsevier, vol. 53(10), pages 3593-3600, August.
    10. Brown, Philip & Chua, Angeline & Mitchell, Jason, 2002. "The influence of cultural factors on price clustering: Evidence from Asia-Pacific stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 10(3), pages 307-332, June.
    11. Silvia S.W. Lui, 2006. "An Empirical Study of Asian Stock Volatility Using Stochastic Volatility Factor Model: Factor Analysis and Forecasting," Working Papers 581, Queen Mary University of London, School of Economics and Finance.

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