{"title":"实验室资产市场的回报可预测性","authors":"Zhongming Cheng, Shengle Lin","doi":"10.1080/15427560.2022.2081973","DOIUrl":null,"url":null,"abstract":"Abstract Empirical studies find that the order imbalance of retail trades can predict future stock returns. The authors investigated the cause of the puzzle using data from the laboratory asset markets in which inexperienced subjects trade in a single asset market (SSW design). The authors found that the retail order imbalance in period t positively predicted returns in period t + 1 in laboratory markets. The existence of return predictability in laboratory markets in which insider information or institutional investors are absent suggests that the predictability is not contingent upon private information or the activities of institutional investors, thus diminishing support of theories relying on these 2 conditions. In addition, the authors found that the return predictability in lab results was stronger and more statistically significant when the subjects were more excited. They tested this novel lab finding in empirical data and confirmed that return predictability is more robust when the market sentiment is higher. The findings suggest that the cause of the return predictability is likely linked to speculative activities.","PeriodicalId":47016,"journal":{"name":"Journal of Behavioral Finance","volume":"7 1","pages":"457 - 465"},"PeriodicalIF":1.7000,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Return Predictability in Laboratory Asset Markets\",\"authors\":\"Zhongming Cheng, Shengle Lin\",\"doi\":\"10.1080/15427560.2022.2081973\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Empirical studies find that the order imbalance of retail trades can predict future stock returns. The authors investigated the cause of the puzzle using data from the laboratory asset markets in which inexperienced subjects trade in a single asset market (SSW design). The authors found that the retail order imbalance in period t positively predicted returns in period t + 1 in laboratory markets. The existence of return predictability in laboratory markets in which insider information or institutional investors are absent suggests that the predictability is not contingent upon private information or the activities of institutional investors, thus diminishing support of theories relying on these 2 conditions. In addition, the authors found that the return predictability in lab results was stronger and more statistically significant when the subjects were more excited. They tested this novel lab finding in empirical data and confirmed that return predictability is more robust when the market sentiment is higher. The findings suggest that the cause of the return predictability is likely linked to speculative activities.\",\"PeriodicalId\":47016,\"journal\":{\"name\":\"Journal of Behavioral Finance\",\"volume\":\"7 1\",\"pages\":\"457 - 465\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2022-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Behavioral Finance\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1080/15427560.2022.2081973\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral Finance","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/15427560.2022.2081973","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Abstract Empirical studies find that the order imbalance of retail trades can predict future stock returns. The authors investigated the cause of the puzzle using data from the laboratory asset markets in which inexperienced subjects trade in a single asset market (SSW design). The authors found that the retail order imbalance in period t positively predicted returns in period t + 1 in laboratory markets. The existence of return predictability in laboratory markets in which insider information or institutional investors are absent suggests that the predictability is not contingent upon private information or the activities of institutional investors, thus diminishing support of theories relying on these 2 conditions. In addition, the authors found that the return predictability in lab results was stronger and more statistically significant when the subjects were more excited. They tested this novel lab finding in empirical data and confirmed that return predictability is more robust when the market sentiment is higher. The findings suggest that the cause of the return predictability is likely linked to speculative activities.
期刊介绍:
In Journal of Behavioral Finance , leaders in many fields are brought together to address the implications of current work on individual and group emotion, cognition, and action for the behavior of investment markets. They include specialists in personality, social, and clinical psychology; psychiatry; organizational behavior; accounting; marketing; sociology; anthropology; behavioral economics; finance; and the multidisciplinary study of judgment and decision making. The journal will foster debate among groups who have keen insights into the behavioral patterns of markets but have not historically published in the more traditional financial and economic journals. Further, it will stimulate new interdisciplinary research and theory that will build a body of knowledge about the psychological influences on investment market fluctuations. The most obvious benefit will be a new understanding of investment markets that can greatly improve investment decision making. Another benefit will be the opportunity for behavioral scientists to expand the scope of their studies via the use of the enormous databases that document behavior in investment markets.