Modeling the fat tails in Asian stock markets

We test whether stock returns in the Asian markets are characterized by infinite variance or just large variance, which has an important implication for the applicability of many financial models in Asian market data. Employing the extreme value framework, we find that the Asian index return distributions are fat-tailed but have finite variance. However, the tails of the distributions behave similarly to those in the U.S. and the MSCI World index returns, suggesting that any financial model or risk management tool that incorporates the second moment would work equally well for the Asian market data as it does for developed market data. We apply the Value-at-Risk method using Asian and U.S. data and find no significant difference in performance.

[1]  Sekyung Oh,et al.  The relationship between developed equity markets and the Pacific Basin's emerging equity markets , 2000 .

[2]  Campbell R. Harvey,et al.  Capital Flows and the Behavior of Emerging Market Equity Returns , 1998 .

[3]  L. Haan,et al.  On the Estimation of the Extreme-Value Index and Large Quantile Estimation , 1989 .

[4]  M. Devereux.  A simple model of emerging market portfolio structure , 2009 .

[5]  J. McCulloch,et al.  Continuous Time Processes with Stable Increments , 1978 .

[6]  Sidney I. Resnick,et al.  Extremal behaviour of solutions to a stochastic difference equation with applications to arch processes , 1989 .

[7]  Dennis W. Jansen,et al.  On the Frequency of Large Stock Returns: Putting Booms and Busts into Perspective , 1989 .

[8]  Campbell R. Harvey,et al.  Emerging Equity Market Volatility , 1995 .

[9]  C. Granger,et al.  A long memory property of stock market returns and a new model , 1993 .

[10]  Geert Bekaert,et al.  Market Integration and Investment Barriers in Emerging Equity Markets , 1995 .

[11]  Ruey S. Tsay,et al.  Analysis of Financial Time Series , 2005 .

[12]  Campbell R. Harvey,et al.  Research in Emerging Markets Finance: Looking to the Future , 2002 .

[13]  P. Burridge,et al.  Value-at-risk: Applying the extreme value approach to Asian markets in the recent financial turmoil , 2000 .

[14]  F. Longin,et al.  The choice of the distribution of asset returns: How extreme value theory can help? , 2005 .

[15]  B. Mandelbrot.  The Variation of Certain Speculative Prices , 1963 .

[16]  E. Fama.  Mandelbrot and the Stable Paretian Hypothesis , 1963 .

[17]  F. Longin.  The Asymptotic Distribution of Extreme Stock Market Returns , 1996 .

[18]  S. Laurent,et al.  Value-at-Risk for long and short trading positions , 2003 .

[19]  Campbell R. Harvey,et al.  PREDICTABLE RISK AND RETURNS IN EMERGING MARKETS , 1999 .

[20]  Y. Tse,et al.  Where does return and volatility come from? The case of Asian ETFs , 2009 .

[21]  S. Berman.  Limit Theorems for the Maximum Term in Stationary Sequences , 1964 .

[22]  B. M. Hill,et al.  A Simple General Approach to Inference About the Tail of a Distribution , 1975 .

[23]  Phhilippe Jorion.  Value at Risk: The New Benchmark for Managing Financial Risk , 2000 .

[24]  François Longin.  Portfolio insurance and market crashes , 2001 .

[25]  Campbell R. Harvey,et al.  Distributional Characteristics of Emerging Market Returns and Asset Allocation , 1998 .

[26]  Campbell R. Harvey,et al.  The behavior of emerging market returns , 1998 .

[27]  V. Meneu,et al.  Has 1997 Asian Crisis Increased Information Flows Between International Markets , 2003 .

[28]  Philippe Lambert,et al.  Modelling financial time series using GARCH-type models with a skewed student distribution for the innovations , 2001 .

[29]  Sébastien Laurent,et al.  G@RCH 2.2: An Ox Package for Estimating and Forecasting Various ARCH Models , 2001 .