Is asymmetric mean-reverting pattern in stock returns systematic? Evidence from Pacific-basin markets in the short-horizon

Abstract This paper applies asymmetric nonlinear smooth transition generalized autoregressive conditional heteroskedasticity (ANST-GARCH) models to the analysis of mean-reversion and time-varying volatility in weekly index returns of the stock markets of nine countries in the Pacific-basin. It finds that the returns exhibit an asymmetric pattern of return reversals, viz., on average, a negative return reverts more quickly, with a greater magnitude, to a positive return than a positive return reverting to a negative one. The asymmetric pattern of return reversals is directly associated with the unequal pricing behavior on the part of investors. Following a negative return shock, investors do not appear to require any additional premium to the leverage effect; instead they actually neutralize the risk in the form of a reduced premium! The reduction in risk premium causes not only the current stock price to rise but also the realized negative return to revert faster with a greater magnitude.

[1]  Walter N. Torous,et al.  The Effect of Volatility Changes on the Level of Stock Prices and Subsequent Expected Returns , 1991 .

[2]  J. Wooldridge,et al.  Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances , 1992 .

[3]  Allaudeen Hameed,et al.  Profitability of Momentum Stragegies in the International Equity Markets , 2000, Journal of Financial and Quantitative Analysis.

[4]  K. Rouwenhorst,et al.  International Momentum Strategies , 1997 .

[5]  John Y. Campbell,et al.  No News is Good News: An Asymmetric Model of Changing Volatility in Stock Returns , 1991 .

[6]  Gautam Kaul,et al.  Time-Variation in Expected Returns , 1988 .

[7]  K. Rouwenhorst Local Return Factors and Turnover in Emerging Stock Markets , 1998 .

[8]  Nusret Cakici,et al.  Do markets overreact: International evidence , 1999 .

[9]  Gregory Koutmos,et al.  Asymmetries in the Conditional Mean and the Conditional Variance: Evidence From Nine Stock Markets , 1998 .

[10]  A. Lo,et al.  When are Contrarian Profits Due to Stock Market Overreaction? , 1989 .

[11]  Gautam Kaul,et al.  Mean Reversion in Short-Horizon Expected Returns , 1989 .

[12]  Steven L. Jones Another look at time-varying risk and return in a long-horizon contrarian strategy , 1993 .

[13]  James D. Hamilton,et al.  Autoregressive conditional heteroskedasticity and changes in regime , 1994 .

[14]  Yangru Wu,et al.  Mean Reversion across National Stock Markets and Parametric Contrarian Investment Strategies , 2000 .

[15]  Narasimhan Jegadeesh,et al.  Evidence of Predictable Behavior of Security Returns , 1990 .

[16]  E. Fama,et al.  Permanent and Temporary Components of Stock Prices , 1988, Journal of Political Economy.

[17]  L. Glosten,et al.  On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks , 1993 .

[18]  E. Fama,et al.  Efficient Capital Markets : II , 2007 .

[19]  G. González-Rivera,et al.  Smooth-Transition GARCH Models , 1998 .

[20]  P. Veronesi Stock Market Overreaction to Bad News in Good Times: A Rational Expectations Equilibrium Model , 1999 .

[21]  Fabio Fornari,et al.  SIGN- AND VOLATILITY-SWITCHING ARCH MODELS: THEORY AND APPLICATIONS TO INTERNATIONAL STOCK MARKETS , 1997 .

[22]  A. Richards,et al.  Winner-Loser Reversals in National Stock Market Indices: Can They Be Explained? , 1997, SSRN Electronic Journal.

[23]  L. Summers,et al.  Noise Trader Risk in Financial Markets , 1990, Journal of Political Economy.

[24]  R. Pindyck Risk, Inflation, and the Stock Market , 1983 .

[25]  A. Arize,et al.  Asymmetric mean-reversion and contrarian profits: ANST-GARCH approach , 2002 .

[26]  R. Thaler,et al.  Does the Stock Market Overreact , 1985 .

[27]  J. Poterba,et al.  Mean Reversion in Stock Prices: Evidence and Implications , 1987 .

[28]  K. Nam,et al.  Asymmetric reverting behavior of short-horizon stock returns: An evidence of stock market overreaction , 2001 .