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Analyst talent, information, and insider trading

Journal of Corporate Finance 2021 67, 101803 open access
We examine 1984–2018 data and show that the talent or ability of sell-side financial analysts affects a covered firm's information environment—more so than the simple number of analysts covering a firm. We find that while analysts in general produce market and industry-level information, high-ability analysts contribute more firm-specific information. Firms covered by high-ability analysts experience significantly less insider trading prior to positive earnings news. Results only reside in opportunistic (not routine) trades. When an analyst initiates (terminates) coverage we find decreased (increased) subsequent insider trading. Both changes are primarily driven by analyst talent. Analyst ability also negatively relates to insider trading profitability.

General Tests of Latent Variable Models and Mean‐Variance Spanning

Journal of Finance 1993 48(1), 131-156 open access
The methods of Gibbons and Ferson (1985) are extended, relaxing the assumption that expected returns are linear functions of predetermined instruments. A model of conditional mean‐variance spanning generalizes Huberman and Kandel (1987). The empirical results indicate that more than a single risk premium is needed to model expected stock and bond returns, but the number of common factors in the expected returns is small. However, when size‐based common stock portfolios proxy for the risk factors, we reject the hypothesis that four of them describe the conditional expected returns of the other assets.