Changes in Institutional Ownership and Stock Returns: Assessment and Methodology

By Richard Sias, Laura T. Starks, Sheridan Titman. 2006

365 citations recorded by the source corpus.

Subfields: Accounting, Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/ef594e3599cc95874273ba80223efec99531cd17

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Citations in the corpus

Institutional Investors and Stock Return Anomalies (2016, positive): “…measurement begins) to insure that anomaly returns are not influenced by price pressure from serially correlated institutional trades [see, e.g., Sias et al. (2006)] or disclosure of portfolio holdings (they are reported within 45 days of calendar quarter end).9 As previously noted, an…”
Financial Reporting Opacity and Informed Trading by International Institutional Investors (2012, background): “…of future returns, overall conclusions are similar, although the economic interpretation of the coefficient estimates changes somewhat. feedback trading strategies and exert price pressure on returns, they are likely to be correlated with changes in institutional holdings (e.g., Sias et al., 2006).”
Commercial Real Estate Valuation: Fundamentals Versus Investor Sentiment (2009, neutral): “example, Chakravarty (2001), Jones and Lipson (2004), and Sias et al. (2006) .”
Commonality in Liquidity: A Demand-Side Explanation (2016, neutral): “9 See, for example, Sias and Starks (1997), Gompers and Metricks (2001), Sias, Starks, and Titman (2006).”
Liquidity and Shareholder Activism (2015, methodology): “Second, we adopt the idea that prolonged stock price pressure may result from institutional trading due to the inflows and outflows they face from investors (Sias, Starks, and Titman, 2006; Coval and Stafford, 2007).”
Analyst Recommendations, Mutual Fund Herding, and Overreaction in Stock Prices (2014, neutral): “Sias et al. (2006) find evidence that count measures are better predictors of returns than dollar-based measures.”
Local institutional investors, information asymmetries, and equity returns (2010, background): “and Yan and Zhang (2009) classifications, our classification attributes geographic proximity to be a major source of informational advantage and thus, is less likely to be subject to an endogeneity problem.”