2015
DOI: 10.1111/jofi.12286
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Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle

Abstract: Buying is easier than shorting for many equity investors. Combining this arbitrage asymmetry with the arbitrage risk represented by idiosyncratic volatility (IVOL) explains the negative relation between IVOL and average return. The IVOL-return relation is negative among overpriced stocks but positive among underpriced stocks, with mispricing determined by combining 11 return anomalies. Consistent with arbitrage asymmetry, the negative relation among overpriced stocks is stronger, especially for stocks less eas… Show more

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Cited by 801 publications
(401 citation statements)
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“…If all of these are missing, we calculate shareholder equity as total assets minus total liabilities. Finally, we add NYSE breakpoints and Fama and French (2015) factors from Kenneth French's Web site, and we add the Stambaugh, Yu, and Yuan (2015) mispricing score from Robert Stambaugh's Web site. Panel C of Table I presents summary statistics for the CRSP data.…”
Section: B Data Compilationmentioning
confidence: 99%
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“…If all of these are missing, we calculate shareholder equity as total assets minus total liabilities. Finally, we add NYSE breakpoints and Fama and French (2015) factors from Kenneth French's Web site, and we add the Stambaugh, Yu, and Yuan (2015) mispricing score from Robert Stambaugh's Web site. Panel C of Table I presents summary statistics for the CRSP data.…”
Section: B Data Compilationmentioning
confidence: 99%
“…The results are qualitatively unchanged if we instead use Newey and West (1987) standard errors with three lags, where we set the lag length = T ¼ = 66 ¼ 3 as discussed in Greene (2002). 16 Stambaugh, Yu, and Yuan (2015) do not use any short selling-based anomalies in their mispricing measure. 17 When there is no interaction term, the coefficient estimate on MISP is negative and significant as in Stambaugh, Yu, and Yuan (2015).…”
Section: Cross-sectional Relation Between Monthly Percentage Returns mentioning
confidence: 99%
“…Similarly, Ang et al (2009, p.12, table 6) find that the return on zero-cost portfolios using all non-US stocks has a three-factor alpha of -67 bp, of which -63 bp come from high-volatility stocks. More recently, Stambaugh et al (2015Stambaugh et al ( , p.1916 determine that the portfolio earns a three-factor alpha of -78 bp of which -69 bp are from the high-volatility portfolio and +8 bp are from the low-volatility portfolio. This evidence is consistent with the limited arbitrage explanation.…”
Section: Empirical Support For the Limited Arbitrage Explanationmentioning
confidence: 99%
“…If volatility is merely a measure of disagreement, then low volatility implies that investors agree about the price of the stock and market imperfections cannot cause mispricing. Most notably and directly, Stambaugh et al (2015) construct an overvaluation index and analyze the pricing of volatility by level of overvaluation. They find that the price of idiosyncratic volatility is strong with 20% of the stocks that are in the highest overvaluation group.…”
Section: Empirical Support For the Limited Arbitrage Explanationmentioning
confidence: 99%
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