The January effect has been well documented since the 1970s. This study examines whether the January effect still exists and if it does, whether arbitrageurs exploit it. We find that the January effect is still persis...The January effect has been well documented since the 1970s. This study examines whether the January effect still exists and if it does, whether arbitrageurs exploit it. We find that the January effect is still persistently significant. Furthermore, we find that arbitrageurs appear to exploit the January effect, especially in good market years when the number of losing firms is limited and are therefore more easily identifiable. We also find that the January effect tends to be higher for losing stocks with high arbitrage costs relative to those with low arbitrage costs.展开更多
We studied monthly seasonality in the top 50 Australian stocks across different industry sectors. Unlike other Australian studies, we examined monthly seasonality using stock return data of individual companies for th...We studied monthly seasonality in the top 50 Australian stocks across different industry sectors. Unlike other Australian studies, we examined monthly seasonality using stock return data of individual companies for the period of January 1980 through to August 2010. We found that stock returns of over half of the 50 companies are significantly positive in April and December, and most companies have low stock returns in October. Seven companies have higher returns in April than in other months of the year, most of which are banking and financial services companies, while six companies have lower returns in February than in other months. Although Australia has a July-June taxation cycle, we found that only three stocks have a July anomaly. The findings are inconsistent with the tax-loss selling hypothesis and other studies on the Australian equity markets （e.g., Brown, Keim, Kleidon, ＆ Marsh, 1983; Brailsford ＆ Easton, 1991）. However, our findings are generally consistent with Bonin and Moses （1974） on individual stock seasonality展开更多
Recent studies show that investor participation in the stock market rises during economic expansion and drops in economic recession. When investor participation is high, investors＇ cognitive and behavioral biases are...Recent studies show that investor participation in the stock market rises during economic expansion and drops in economic recession. When investor participation is high, investors＇ cognitive and behavioral biases are likely to have a strong influence on stock prices. We consider four trading strategies that are based on well-known market anomalies and examine their profitability under different economic conditions. For all four strategies, the portfolios that are formed in the months when the economy is expanding obtain significant profits, whereas the portfolios formed in economic recession months are not profitable. This finding is robust to different ways of classifying recession months.展开更多
基金Acknowledgements We are grateful to Murali Jagannathan, Kristian Rydqvist, Tongshu Ma, Ming Liu, Michael Sehill, Nianhang Xu, Qingbin Meng, and seminar participants at Renmin University for helpful comments. Xue Wang acknowledges the financial support of the National Natural Science Foundation of China （NSFC projects nos. 71302157 and 71402008）, the Scientific Research Foundation for the Returned Overseas Chinese Scholars, Ministry of Education of China. All errors are our own.
文摘The January effect has been well documented since the 1970s. This study examines whether the January effect still exists and if it does, whether arbitrageurs exploit it. We find that the January effect is still persistently significant. Furthermore, we find that arbitrageurs appear to exploit the January effect, especially in good market years when the number of losing firms is limited and are therefore more easily identifiable. We also find that the January effect tends to be higher for losing stocks with high arbitrage costs relative to those with low arbitrage costs.
文摘We studied monthly seasonality in the top 50 Australian stocks across different industry sectors. Unlike other Australian studies, we examined monthly seasonality using stock return data of individual companies for the period of January 1980 through to August 2010. We found that stock returns of over half of the 50 companies are significantly positive in April and December, and most companies have low stock returns in October. Seven companies have higher returns in April than in other months of the year, most of which are banking and financial services companies, while six companies have lower returns in February than in other months. Although Australia has a July-June taxation cycle, we found that only three stocks have a July anomaly. The findings are inconsistent with the tax-loss selling hypothesis and other studies on the Australian equity markets （e.g., Brown, Keim, Kleidon, ＆ Marsh, 1983; Brailsford ＆ Easton, 1991）. However, our findings are generally consistent with Bonin and Moses （1974） on individual stock seasonality
文摘Recent studies show that investor participation in the stock market rises during economic expansion and drops in economic recession. When investor participation is high, investors＇ cognitive and behavioral biases are likely to have a strong influence on stock prices. We consider four trading strategies that are based on well-known market anomalies and examine their profitability under different economic conditions. For all four strategies, the portfolios that are formed in the months when the economy is expanding obtain significant profits, whereas the portfolios formed in economic recession months are not profitable. This finding is robust to different ways of classifying recession months.
