G
Gregory W. Eaton
Researcher at Oklahoma State University–Stillwater
Publications - 12
Citations - 158
Gregory W. Eaton is an academic researcher from Oklahoma State University–Stillwater. The author has contributed to research in topics: Dividend & Cash flow. The author has an hindex of 5, co-authored 12 publications receiving 94 citations.
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Retail Trader Sophistication and Stock Market Quality: Evidence from Brokerage Outages
TL;DR: In this article, the authors compared brokerage platform outages to examine how heterogeneity in retail investor sophistication influences their impact on financial markets and found that inexperienced retail investors creating inventory risks that harm liquidity, whereas other retail trading improves market quality.
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Micro(structure) before Macro? The Predictive Power of Aggregate Illiquidity for Stock Returns and Economic Activity
TL;DR: In this article, the authors decompose illiquidity proxies into a component capturing aggregate volatility and a residual, and find strong evidence that the component uncorrelated with volatility forecasts stock market returns.
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Micro(structure) before macro? The predictive power of aggregate illiquidity for stock returns and economic activity
TL;DR: In this article, the authors decompose illiquidity proxies into a component capturing aggregate volatility and a residual, and find that both the volatility and residual components contain information regarding future economic activity.
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Rethinking Measures of Mergers & Acquisitions Deal Premiums
TL;DR: In this article, the authors show that the use of traditional fixed windows generates premiums that are underestimated by as much as 8 percentage points for transactions with long processes (e.g., target-initiated deals).
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Measuring institutional trading costs and the implications for finance research: The case of tick size reductions
TL;DR: In this paper, the authors construct a price impact measure that represents the costs faced by institutional investors and show that many widely used liquidity measures do not adequately capture institutional trading costs, casting doubt on the widely used identification strategy that employs decimalization as an exogenous shock to liquidity.