The Week-End Effect in Common Stock Returns: The International Evidence

This paper examines the daily stock market returns for four foreign countries. We find a so-called “week-end effect” in each country. In addition, the lowest mean returns for the Japanese and Australian stock markets occur on Tuesday. The remainder of the paper answers four questions. Are seasonal patterns in foreign stock markets independent of those previously reported in the U.S.? Do Japan and Australia exhibit a seasonal one day out of phase due to different time zones? Do settlement procedures across countries bias week-end effects? Does the seasonal pattern in foreign exchange offset the week-end effect in stocks for Americans investing overseas?     

An empirical analysis of the equity markets in China

This paper subjects the newly established stock markets in Shanghai and Shenzhen to tests of market efficiency, utilizing daily stock price data. Using a battery of tests, the study concludes that there are significant inefficiencies present on both exchanges. These can be traced to the unique structural and institutional problems that plague both exchanges. The study also tests for the presence of seasonal anomalies on both exchanges. The results show that there are significant negative weekend and positive holiday effects, but there is no evidence of a January effect or early January effect.     

Does Trading Volume Contain Information to Predict Stock Returns? Evidence from China's Stock Markets

This paper examines empirical contemporaneous and causal relationships between trading volume, stock returns and return volatility in China's four stock exchanges and across these markets. We find that trading volume does not Granger-cause stock market returns on each of the markets. As for the cross-market causal relationship in China's stock markets, there is evidence of a feedback relationship in returns between Shanghai A and Shenzhen B stocks, and between Shanghai B and Shenzhen B stocks. Shanghai B return helps predict the return of Shenzhen A stocks. Shanghai A volume Granger-causes return of Shenzhen B. Shenzhen B volume helps predict the return of Shanghai B stocks. This paper also investigates the causal relationship among these three variables between China's stock markets and the US stock market and between China and Hong Kong. We find that US return helps predict returns of Shanghai A and Shanghai B stocks. US and Hong Kong volumes do not Granger-cause either return or volatility in China's stock markets. In short, information contained in returns, volatility, and volume from financial markets in the US and Hong Kong has very weak predictive power for Chinese financial market variables.     

Seasonality in the Risk-Return Relationship: Some International Evidence

We report evidence of seasonality in the Fama and MacBeth estimate of the CAPM-based risk premium in four stock exchanges: the NYSE and the London, Paris, and Brussels exchanges. Specifically, we found that, in Belgium and France, risk premia are positive in January and negative the rest of the year. There is no January seasonal in the U.K. risk premium. Instead, we observed in this country a positive April seasonal and a negative average risk premium over the rest of the year. In the U.S., the pattern of risk-premium seasonality coincides with the pattern of stock-return seasonality. Both are positive and significant only in January. We also found that the January risk premium in the U.S. is significantly larger than those observed in the European markets. Interestingly, the reported patterns of risk-premium seasonality in European equity markets do not fully coincide with the observed patterns of stock-return seasonality in these markets. For example, in the U.K., average stock returns are significant and positive in January and April, whereas the market risk premium is significantly positive only in April. A possible interpretation of this phenomenon is presented in the paper.     

Intraday Returns and the Frequency of Trading at the Ask on the Sydney Futures Exchange: A Research Note

This article documents and provides explanations for intraday patterns in returns for the Share Price Index (SPI) futures contract traded on the Sydney Futures Exchange (SFE). Consistent with overseas futures markets research, a positive and significant overnight return is documented. Unlike overseas futures markets, we find little evidence of an end of day price rise. Our evidence suggests that overnight returns for the SPI contract are largely driven by the way returns are typically measured, which ignores the fact that there is a significantly greater frequency of sellers at the market close and buyers at the start of the day. These patterns are consistent with hedging behaviour by futures traders with long positions in the underlying stock.     

Does the location of stock exchange matter? A within-country analysis

The current study documents an interesting phenomenon that retail investors prefer to invest in stocks listed at the stock exchange that is geographically close to them in China. This pattern is robust when we control for the well-documented local bias within a country. Among companies with similar distances to both stock exchanges and companies headquartered locally, investors still display a strong tendency to invest in locally-listed stocks. Among stocks with similar distances to both stock exchanges, those listed in Shanghai (Shenzhen) co-move more in returns and trading volumes, with the benchmark at the Shanghai (Shenzhen) stock exchange. Such a preference for local exchange seems not to be motivated by information advantage, because investors do not obtain abnormal returns from their trades on stocks listed nearby. Our findings provide additional evidence that non-information-based familiarity bias induces investment and that such investor bias and exchange-level sentiment influence asset price formation.     

An investigation of the stability of returns in Western European equity markets

This paper investigates the temporal stability of various dimensions of the returns of 16 European stock markets that are relevant to an analysis of international portfolio diversification. The basic data consist of daily stock market price indices for these markets. This group of indices comprehends a wide range of stock markets differentiated by size, age and technological sophistication, but in each case located in Western Europe. Two main tests were conducted: (a) ANOVA to identify inter-temporal variability and inter-market variability over 24 three-month sub-periods from January 1989 to December 1994, and (b) cluster analysis to identify groups of markets that exhibit similar behaviour patterns. The findings suggest that, while the potential gains from an internationally diversified portfolio restricted to the equities of Western European markets appear to be substantial, the lack of inter-temporal stability in the composition of the optimal portfolio from one period to another makes these gains difficult to achieve in practice.     

The negative news threshold—An explanation for negative skewness in stock returns

Abstract

A vast literature documents negative skewness in stock index return distributions on several markets. In this paper the issue of negative skewness is approached from a different angle to previous studies by combining the Trueman's 1997 model of management disclosure practices with symmetric market responses in order to explain negative skewness in stock returns. Empirical tests reveal that returns for days when non-scheduled news items are disclosed are the source of negative skewness in stock returns, as predicted. These findings suggest that negative skewness in stock returns is induced by asymmetries in the news disclosure policies of firm management. Furthermore, it is found that the returns are negatively skewed only for non-scheduled firm-specific news disclosures for firms where the management is compensated with stock options.     

Empirical Analysis of Stock Returns and Volatility: Evidence from Seven Asian Stock Markets Based on TAR-GARCH Model

This paper investigates the time-series behavior of stock returns for seven Asian stock markets. In most cases, higher average returns appear to be associated with a higher level of volatility. Testing the relationship between stock returns and unexpected volatility, the evidence shows that four out of seven Asian stock markets have significant results. Further analyzing the relationship between stock returns and time-varying volatility by using Threshold Autoregressive GARCH(1,1)-in-mean specification indicates that the null hypothesis of no asymmetric effect on the conditional volatility is rejected for the daily data. However, the null cannot be rejected for the monthly data.     

The current state of Asia-Pacific stock exchanges: A critical review of market design

This paper provides a review of the market microstructure of ten Asia-Pacific stock exchanges. Asia-Pacific stock exchanges face significant challenges in an increasingly global and competitive world equity market. These exchanges need to provide an efficient, fair and competitive trading environment if they are to attract new listings and attract investors. This paper documents significant differences in market design across Asia-Pacific stock exchanges. Many of these design features are at odds with the existing microstructure research. Achieving competitive markets may involve a review of market design and regional consolidation. Failure to increase attractiveness may result in Asia-Pacific exchanges losing market share in the global equity market. A review of current best practice in a number of critical microstructure areas is useful for market organizers to assist in policy development, is helpful for academics wishing to undertake empirical research in these markets and is a source for future research ideas.     

Seasonal and Day-of-the-Week Effects in Four Emerging Stock Markets

The “January effect” and the “weekend effect” have proven to be persistent anomalies in U.S. equity markets. The objective of this paper is to examine seasonal and daily patterns in equity returns of four emerging markets: Hong Kong, Singapore, Malaysia, and the Philippines. These markets are gaining importance with the globalization of business; therefore, it is necessary to examine the efficiency and functioning of these capital markets. Our analysis uses daily data for the 12 years from September 1, 1976, to June 30, 1988. The results support the existence of a seasonal pattern in these markets. Returns in the month of January are higher than any other month for all markets examined except the Philippines. A robust day-of-the-week effect is also found. These markets exhibit a weekend effect of their own in the form of low Monday returns. In addition, there exists a strong “Tuesday effect,” which may be related to the + 13 hour time difference between New York and these emerging markets.     

Sentiment and stock returns: The SAD anomaly revisited

Widely-cited research by Kamstra et al. (2003) argues that changes in mood resulting from Seasonal Affective Disorder (SAD) drive changes in investor risk aversion and cause seasonal patterns in aggregate stock returns around the world. In this paper we reexamine the so-called SAD effect by replicating and extending Kamstra et al. (2003). We study the psychological underpinnings of the SAD hypothesis and show that the time-series predictions of the SAD model do not correspond to the seasonal patterns in depression found in the general population. We also investigate the cross-sectional prediction that SAD has a greater effect on stock markets in countries where SAD is more prevalent and find no relation between the prevalence of SAD and stock returns. Finally, we document that the SAD effect is mechanically driven by an overlapping dummy-variable specification and higher returns around the turn of the year.     

Feedback Trading and Autocorrelation Patterns in Sub-Saharan African Equity Markets

This article examines feedback trading and autocorrelation pattern of stock returns in the equity markets of Ghana, Kenya, Nigeria, and South Africa. We find evidence that positive feedback trading induces negative autocorrelation in the stock returns of Ghana, Kenya, Nigeria, and South Africa. The negative autocorrelation occurs during periods of increasing volatility, and all the four equity markets exhibit volatility asymmetry. We also find that Ghana, Nigeria, and South Africa were influenced by the 2008–2009 global financial crisis, and South Africa experienced the largest impact. These findings may have implications for risk management and price discovery in these equity exchanges.     

Is it the weather? Comment

This comment discusses some errors in a recent paper by Jacobsen and Marquering [Jacobsen, B., Marquering, W., 2008. Is it the weather? Journal of Banking and Finance 32 (4), 526–540], in which the authors challenge our previous finding that stock market returns exhibit seasonal patterns consistent with the influence of seasonal affective disorder on investor risk aversion. We find that we cannot replicate the authors’ findings, even after corresponding with them. Furthermore, we document several problems with their methodology, including misspecification of their economic model, misspecification of their econometric model, and use of inappropriate data. While we agree that seasonal affective disorder is not an explanation for all variation in equity markets, we do maintain that careful analysis leads to economically and statistically significant evidence of the effect we originally documented.     

Does herding behavior exist in Chinese stock markets?

This paper examines the presence of herd formation in Chinese markets using both individual firm- and sector-level data. We analyze the behavior of return dispersions during periods of unusually large upward and downward changes in the market index. We also distinguish between the Shanghai and Shenzhen stock exchanges at the sector-level. Our findings indicate that herd formation does not exist in Chinese markets. We find that equity return dispersions are significantly higher during periods of large changes in the aggregate market index. However, comparing return dispersions for upside and downside movements of the market, we observe that return dispersions during extreme downside movements of the market are much lower than those for upside movements, indicating that stock returns behave more similarly during down markets. The findings support rational asset pricing models and market efficiency. Policy implications of the results for policymakers are discussed.     

Dual-listings on international exchanges: the case of emerging markets' stocks

This paper examines the effects on stock returns of dual-listing on an international exchange. My sample consists of 70 firms from 10 emerging markets that dual-listed on the NYSE, NASDAQ and SEAQ-I (London) over the period 1991–1995. I evaluate whether an international dual-listing has any significant effect on returns, for the particular case of emerging markets' firms, and I proceed to investigate whether there is evidence to support an International Asset Pricing based explanation. In addition I compare the impact of US and London SEAQ-I listings. My results confirm previous empirical findings on international listings: the firms in my sample experience significant positive abnormal returns before listing and a significant decline in returns following listing. Evidence seems to be supportive of the segmentation hypothesis: dual-listing effects are more pronounced for emerging markets' listings and that pattern is similar across exchanges.
G15     

Microstructure and Seasonality in the UK Equity Market

This paper explores seasonality in the UK stock market. It examines the impact of alternative company year-ends on returns as well as seasonality in bid-ask spreads and trading activity variables including volume, number and size of trades. Consistent with the evidence elsewhere, seasonal variation in stock returns and trading activity is established although there is little evidence of a seasonal pattern in relative bid-ask spreads. Trading rules based on the seasonal patterns do not suggest that seasonality can be exploited to earn excess profits.     

Dividend Yields and Stock Returns: Evidence of Time Variation between Bull and Bear Markets

This study documents persistent shifts in the relationship between stock returns and dividend yields over bull and bear markets. The shift in this relationship appears as a separate effect, distinct from the January effect, and after controlling for firm size and systematic risk. After controlling for these other factors, dividend yield is positively related to return during bear markets but negatively related to return during bull markets. This time-varying relationship between dividend yield and stock return helps to explain the anomalous results of earlier studies.     

The spillover effects of target interest rate news from the U.S. Fed and the European Central Bank on the Asia-Pacific stock markets

This paper provides comprehensive evidence on the spillover effects of the U.S. Fed's and the European Central Bank (ECB)’s target interest rate news on the market returns and return volatilities of 12 stock markets in the Asia-Pacific over the period 1999–2006. The news spillover effects on the returns are generally consistent with the literature where a majority of stock markets shows significant negative returns in response to unexpected rate rises. While the results of the speed of adjustment for the Fed's news are mixed across the markets, the ECB news was absorbed slowly, in general. The return volatilities were higher in response to the interest rate news from both sources. In addition, both the Fed and the ECB news elicited tardy or persisting volatility responses. These findings have important implications for all levels of market participants in the Asia-Pacific stock markets.     

The market reaction to cross-listings: Does the destination market matter?

This paper examines (i) whether market reactions to cross-listings differ across destination markets and (ii) to what extent the following explanations for value creation around cross-listings can account for differences in market reactions across cross-listings on various destination markets: overcoming market segmentation, increased market liquidity, improved information disclosure, and better investor protection (“bonding”). We analyze 526 cross-listings from 44 different countries on eight major stock exchanges and document significant announcement returns of 1.3% on average for cross-listings on US exchanges, 1.1% on London Stock Exchange, 0.6% on exchanges in continental Europe, and 0.5% (not significant) on Tokyo Stock Exchange. We find evidence consistent with improved disclosure and bonding creating value for cross-listings on US exchanges, while overcoming segmentation and bonding are associated with higher announcement returns on the London Stock Exchange. The evidence is mixed for continental European exchanges and for Tokyo. Our results highlight the role of the destination market in value creation around cross-listings.