库存(枪支)
业务
信息不对称
资产(计算机安全)
资本资产定价模型
共同基金
金融经济学
投资(军事)
货币经济学
经济
财务
地理
计算机安全
法学
考古
计算机科学
政治
政治学
作者
Joshua D. Coval,Tobias J. Moskowitz
摘要
Applying a geographic lens to mutual fund performance, this study finds that fund managers earn substantial abnormal returns in nearby investments. These returns are particularly strong among funds that are small and old, focus on few holdings, and operate out of remote areas. Furthermore, we find that while the average fund exhibits only a modest bias toward local stocks, certain funds strongly bias their holdings locally and exhibit even greater local performance. Finally, we demonstrate that the extent to which a firm is held by nearby investors is positively related to its future expected return. Our results suggest that investors trade local securities at an informational advan-tage and point toward a link between such trading and asset prices.
科研通智能强力驱动
Strongly Powered by AbleSci AI