Abstract
This comprehensive literature review consolidates various market anomalies and puzzles, providing an aggregated perspective to understand these complex dynamics that challenge the traditional Efficient Market Hypothesis. We examined numerous academic works to reveal insights into long-term return irregularities, earnings management influence on equity offerings, and information uncertainty’s impact on stock returns. The review delves into unique phenomena like persistent mutual fund performance, the day-of-the-week returns, the January effect, weather-induced mood shifts on the market, and the dynamics of multiple anomalies. International asset pricing and weekend anomalies were also discussed, with a particular focus on cryptocurrency efficiency. Incorporating behavioral finance perspectives, we explored social transmission bias, emotional finance, biased beliefs, investor optimism, sentiment, and global market inefficiencies. The influence of unique events and seasonal factors, such as the Super Bowl, daylight saving time, and the Halloween effect, were also analyzed. The review concludes by highlighting the evolving landscape of market anomalies, discussing ma- chine learning approaches to anomaly research, investor behavior challenges, and the disappearing anomalies in country and industry returns. It sets the groundwork for holistic comprehension of market anomalies, suggesting future research directions such as exploring new data sources, comprehensive theoretical modeling, and the role of technology, market regulations, and environmental changes on market anomalies.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.