Abstract:Published results of empirical tests over the past two decades indicate that the risk-return relation in the Hong Kong stock market is negative. Such findings refute the positive risk-returnrelation stipulatedinthe traditional CAPM. However, traditional CAPM invokes expected or ex-ante returns while empirical tests have used ex-post returns as an imperfect proxy. Thus, in this paper, the risk-return relationship in the Hong Kong stock market is examined using the conditional method based on the work of Petteng… Show more
“…Their evidence shows a positive (negative) relationship between beta and realized returns during periods of positive (negative) excess market returns. Following Pettengill et al (1995), Lam (2001) provides supportive evidence of a strong relationship between beta and return during both up-and down-markets in the Hong Kong stock market. In order to check the robustness of the four-factor model, we examine the model under such conditional framework.…”
Section: Up-and Down-market Conditionsmentioning
confidence: 60%
“…In order to check the robustness of the four-factor model, we examine the model under such conditional framework. Following Pettengill et al (1995) and Lam (2001), if the realized market excess return is positive (negative), it is classified as up-market (downmarket). The sampling period is then split into up-and down-market periods.…”
“…Their evidence shows a positive (negative) relationship between beta and realized returns during periods of positive (negative) excess market returns. Following Pettengill et al (1995), Lam (2001) provides supportive evidence of a strong relationship between beta and return during both up-and down-markets in the Hong Kong stock market. In order to check the robustness of the four-factor model, we examine the model under such conditional framework.…”
Section: Up-and Down-market Conditionsmentioning
confidence: 60%
“…In order to check the robustness of the four-factor model, we examine the model under such conditional framework. Following Pettengill et al (1995) and Lam (2001), if the realized market excess return is positive (negative), it is classified as up-market (downmarket). The sampling period is then split into up-and down-market periods.…”
“…The expectation is that the market risk premium will always be positive, 1 Subsequent studies based in the US market by Grinold (1993), Davis (1994) and French (1995, 1996) provide additional evidence against an unconditional relationship between beta and returns. 2 Studies outside of the US and European markets include; Ho et al (2000) and Lam (2001) in the Hong Kong market, Faff (2001) in the Australian market, and Sandoval and Saens (2004) examining the markets of Argentina, Brazil, Chile and Mexico. All these studies fail to find an unconditional relationship between beta and returns.…”
The main purpose of this paper is to explore the cross-sectional relationship between security returns and beta, size and book-to-market equity in the Shanghai A-share market. This study takes place during the period January 1997-December 2006. The methodology of Fama and French (J Finance 51:55-84, 1992) and Pettengill et al. (J Financial Quant Anal 30:101-116, 1995) is adopted. The Results show no evidence of an unconditional relationship between beta and returns. However, a conditional relationship is found when the data is split into up and down markets. The relationship holds even in the presence of size and book-to-market equity. Both size and book-to-market equity is found to be priced by the market and thereby regarded as significant determinants of security returns.
“…1 Many studies apply the PSM methodology to other markets. These include: Fletcher (1997Fletcher ( , 2000 and Hung et al (2004) for the UK market; Isakov (1999) for the Swiss market; Lam (2001) and Ho et al (2006) for the Hong Kong market; Elsas et al (2003) for the German market; Hodoshima et al (2000) for the Japanese market; Faff (2001) for the Australian market; and Sandoval and Saens (2004) for four Latin American markets. The overwhelming preponderance of these studies supports the PSM conclusion.…”
We investigate the asymmetric risk-return relationship in a time-varying beta CAPM. A state space model is established and estimated by the Adaptive Least Squares with Kalman foundations proposed by McCulloch (2006). Using S&P 500 daily data from 1987:11-2003:12, we find a positive risk-return relationship in the up market (positive market excess returns) and a negative relationship in the down market (negative market excess returns). This supports the argument by Pettengill, Sundaram and Mathur (1995), who use a constant beta model. However, our model outperforms theirs by eliminating the unexplained returns and improving the accuracy of the estimated risk price.
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