At the dated check, the references listed below either did not resolve in
Crossref or DataCite, or carried a retraction notice. Each one is shown with the
registry record that put it there.
The 48 checked references that resolve
resolves10.1162/003355397555280Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study
resolves10.1093/rfs/hhp087The Idiosyncratic Volatility Puzzle: Time Trend or Speculative Episodes?
resolves10.1093/rfs/hhg040Greener Pastures and the Impact of Dynamic Institutional Preferences
resolves10.2139/ssrn.1117284The Time-Series Behavior and Pricing of Idiosyncratic Volatility: Evidence from 1926 to 1962
resolves10.1198/073500104000000631Powerful Trend Function Tests That Are Robust to Strong Serial Correlation, With an Application to the Prebisch–Singer Hypothesis
resolves10.1111/0022-1082.00318Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk
resolves10.1002/fut.20327The information content in implied idiosyncratic volatility and the cross‐section of stock returns: Evidence from the option markets
resolves10.1086/250007Bettors Love Skewness, Not Risk, at the Horse Track
resolves10.1093/rfs/hhn039Idiosyncratic Return Volatility, Cash Flows, and Product Market Competition
resolves10.2307/1913610A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
resolves10.2139/ssrn.2496167Market Efficiency and Returns to Simple Technical Trading Rules: New Evidence from U.S. Equity Market and Chinese Equity Markets
resolves10.2307/2998543Trend Function Hypothesis Testing in the Presence of Serial Correlation
resolves10.1016/s0378-4266(04)00050-0Idiosyncratic risk does not matter: A re-examination of the relationship between average returns and average volatilities
resolves10.1086/377033Investigating the Behavior of Idiosyncratic Volatility*
The 6 references without a DOI — listed, not checked
no DOI — not checkedref35
no DOI — not checkedEquilibrium in an imperfect market: A constraint on the number of securities in a portfolio
no DOI — not checkedref40
no DOI — not checkedFinancial liberalization and the H-A price differential in the Chinese stock markets: Effects of the split-share structure reform and QFII and QDII schemes
no DOI — not checkedref48
no DOI — not checkedWe also estimate each portfolio's alpha (? coefficient) from the FF3-factor model (Eq. 1) estimated using the full sample of monthly value-or equal-weighted returns for each portfolio. The last low of each panel presents the difference in monthly returns and differences in alpha between the high and low IVOL portfolios. T-statistics are
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