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Rodney D Boehme
Researcher at Wichita State University
Publications - 19
Citations - 1429
Rodney D Boehme is an academic researcher from Wichita State University. The author has contributed to research in topics: Dividend & Capital asset pricing model. The author has an hindex of 11, co-authored 18 publications receiving 1328 citations. Previous affiliations of Rodney D Boehme include University of Houston.
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Short Sale Constraints, Differences of Opinion, and Overvaluation
TL;DR: In this paper, the authors examined the valuation effects of the interaction between differences of opinion and short sale constraints and found that stocks are not systematically overvalued when either one of these two conditions is not met.
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Short-Sale Constraints, Differences of Opinion, and Overvaluation
TL;DR: In this paper, the authors examine the valuation effects of the interaction between differences of opinion and short sale constraints and find robust evidence of significant overvaluation for stocks that are subject to both conditions simultaneously.
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The Long‐run Performance Following Dividend Initiations and Resumptions: Underreaction or Product of Chance?
Rodney D Boehme,Sorin M. Sorescu +1 more
TL;DR: Boehme and Sorescu as mentioned in this paper examined the long-term stock performance following dividend initiations and resumptions from 1927 to 1998, and showed that postannouncement abnormal returns are significantly positive for equally weighted calendar time portfolios, but become insignificant when the portfolios are value weighted.
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Idiosyncratic Risk and the Cross-Section of Stock Returns: Merton (1987) Meets Miller (1977)
TL;DR: The authors examined the cross-sectional effects of idiosyncratic risk and dispersion of beliefs while controlling for short-sale constraints, and found that when short sale constraints are present, increased analyst dispersion and idiosyncratic volatility produce negative abnormal returns, consistent with Miller (1977).
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Estimation Risk, Information, and the Conditional CAPM: Theory and Evidence
TL;DR: In this article, the authors theoretically and empirically investigate the role of information on the cross section of stock returns and firms' cost of capital when investors face estimation risk and learn from noisy signals of uncertain quality.