CHINA FINANCIAL RESEARCH NETWORK
2008-11-12 第1卷 第3期
National University of SingaporeDepartment of Finance and Accounting
Massey UniversityDepartment of Commerce
Chinese Academy of Social Sciences
Hua Wen National University of SingaporeDepartment of Finance and Accounting
Researchers have developed a number of theories to explain stock return continuation. Using stock data from 16 emerging markets (1990 to 2002), we conduct an out-of-sample test for the sources of momentum profitability. This paper examines the role of financial analyst in the exhibited stock return continuation among emerging markets. Consistent with the predictions of the gradual information diffusion theory (Hong and Stein, 1999), the evidence indicates that momentum strategies are most profitable in small firms, firms with low analyst coverage. More interestingly, we find that besides the level of analyst following, the change in analyst following, specifically, increasing analyst coverage, and the analyst forecasts with high dispersion can help explain stock return momentum.
This paper studies sequential portfolio choices by MPS-risk-averse investors in a continuous time jump-diffusion framework. It is shown that the optimal trading strategies for MPS risk averse investors, if they exist, must be located on a so-called `temporal efficient frontier' (t.e.f.). The t.e.f. is found not to coincide with the local instantaneous frontier --- the continuous time analogue of Markowitz's mean-variance frontier. This observation is potentially useful in understanding the existence of documented financial anormally in empirical finance --- MPS risk averse investors may not wish to invest along the local instantaneous Markowitz's mean-variance frontier, but instead hold portfolios on the t.e.f.. The optimal portfolio on the t.e.f. could well fall strictly within the instantaneous local Markowitz's efficient frontier. Our observations on mutual fund separation are also profound and interesting. In contrast to the classical two-fund separation along the line of Black (1972) and Tobin (1958), our study shows that MPS-risk-averse investors' optimal trading strategy is target rate specific. Precisely, investors with different target rates may end up investing into different managed mutual funds, each involving a specific set of separating portfolios. Our theoretic findings are, nevertheless, much in line with the real world phenomena on the existence of various types of mutual funds offered by different financial institutes, each aiming to attract demand from some specific groups of investors --- a picture that is in sharp contrast to the theoretical prediction made by Black (1972) and Tobin (1958). Finally, our study sheds light on the difference between expected utility and MPS-risk-averse investors concerning their trading behavior in sequential time frame. Even though these two groups of investors may end up holding a common risky portfolio in each spot market, the differences between their trading behaviors are most reflected through the portfolio weights assigned to each of the separating portfolios within the time frame and across states. Precisely, the portfolio weights corresponding to investors respectively from the two groups are associated with recognizable different time patterns. We showed that such difference in trading behavior would be also reflected from the time patterns of the instantaneous returns and the volatilities of the funds respectively managed by investors from these two groups.
Xiao-Ming Li Massey UniversityDepartment of Commerce
It is documented that technical analysis is a highly pervasive activity among stock traders and security analysts in China. This paper uses eight years’ data on daily stock prices and trading volume of thirty-nine companies listed on the Shenzhen Stock Exchange to examine the usefulness of technical analysis. Very weak evidence in support of return predictability is generated either by considering returns alone or by the use of volume in conjunction with returns. The results not only cast doubt on the ability of technical analysis to predict future price movements in China’s stock markets, but also challenge the views of market inefficiency for China that are based on aggregate market data rather than individual company data.
Kuifang Zheng Chinese Academy of Social Sciences
This paper provides a theoretical analysis of return and volatility spillover effects between developed and emerging futures markets with investment obstacles. It mainly focuses on analysis of the effects on equilibrium futures price, investors’ trading strategies and their wealth distributions in the emerging market. Three hypotheses are proposed. The first two assume that there is either return or volatility spillover between the two markets. The last one combines the first two together by assuming that there are both return and volatility spillovers between the markets. Our analysis results show that the equilibrium futures price, investors’ trading strategies and their wealth distributions in the emerging futures market are affected by (1) the scale of informed traders in the emerging market who form their expectations of delivery price by using the spillovers from the developed market, (2) the spillovers degree that the informed in the emerging market expect, and (3) whether there is return spillover or volatility spillover, or both. Overall, the findings suggest that if there are both return and volatility spillovers, then ignoring the volatility spillover, investors will make improper investment decisions so that the futures contracts could be overpriced and the traders’ wealth could be harmed. The theoretical analysis provide an important implication for empirical examination on the spillover effects between markets, that is, both return and volatility spillover effects should be considered jointly, otherwise the return spillover effects can be overestimated. Empirical examination in copper futures markets generally supports the conclusions drawn from our theoretical analysis.
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