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Full-Text Articles in Business
What Do Short Sellers Know?, Ekkehart Boehmer, Charles M. Jones, Juan (Julie) Wu, Xiaoyan Zhang
What Do Short Sellers Know?, Ekkehart Boehmer, Charles M. Jones, Juan (Julie) Wu, Xiaoyan Zhang
Research Collection Lee Kong Chian School Of Business
Using NYSE short-sale order data, we investigate whether short sellers' informational advantage is related to firm earnings and analyst-related events. With a novel decomposition method, we find that while these fundamental event days constitute only 12% of sample days, they account for over 24% of the overall underperformance of heavily shorted stocks. Importantly, short sellers use both public news and private information to anticipate news regarding earnings and analysts. Shorting's predictive ability remains significant after controlling for information in analyst actions and displays no reversal patterns, indicating that short sellers know more than analysts, and the nature of their information …
Security Analysts And Capital Market Anomalies, Li Guo, Frank Weikai Li, K.C. John Wei
Security Analysts And Capital Market Anomalies, Li Guo, Frank Weikai Li, K.C. John Wei
Research Collection Lee Kong Chian School Of Business
We examine whether analysts use information in well-known stock return anomalies when making recommendations. We find results contrary to the common view that analysts are sophisticated information intermediaries who help improve market efficiency. Specifically, when analysts make more favorable recommendations to stocks classified as overvalued, these stocks tend to have particularly large negative abnormal returns ex post. Moreover, analysts whose recommendations are more aligned with anomaly signals are more skilled and elicit greater recommendation announcement returns. Our results suggest that analysts' biased recommendations could be a source of market frictions that impede the efficient correction of mispricing.
Sell-Side Analysts' Benchmarks, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach
Sell-Side Analysts' Benchmarks, Ohad Kadan, Leonardo Madureira, Rong Wang, Tzachi Zach
Research Collection Lee Kong Chian School Of Business
Sell-side analysts employ different benchmarks when defining their recommendations. A buy for some brokers means the stock is expected to outperform its industry, while for other brokers it means the stock is expected to outperform the market, or some return threshold. We show that these stated benchmarks have implications for the distribution of recommendations, price reactions to recommendations, and the investment value of recommendations. We conclude that, depending on the question, academics may need to account for the benchmarks when studying analysts’ outputs, and investors may find the benchmarks beneficial in interpreting analysts’ advice.