Publication Type
Working Paper
Version
publishedVersion
Publication Date
12-2010
Abstract
My 2009 JFE paper ["Idiosyncratic Risk and the Cross-Section of Expected Stock Returns', Journal of Financial Economics, Vol. 91, pp. 24-37] documents a positive and statistically significant cross-sectional relation between expected idiosyncratic volatility (E(IVOL)) and expected stock return. A recent working paper titled "On the Relation between EGARCH Idiosyncratic Volatility and Expected Stock Returns" by Guo, Ferguson, and Kassa of University of Cincinnati suggests that the positive relation is driven by an in-sample approach to estimate E(IVOL). They fail to find a significant relation between return and their E(IVOL) estimated out of sample. I find that two estimation settings in their SAS code, one of which limits the maximum number of iterations and the other accepts estimates with a questionable convergence status, lead to potentially unreliable estimates and ultimately, the failure to find the positive relation between return and E(IVOL). Using more reliable settings, I re-estimate E(IVOL) strictly out of sample, and confirm a robust and significantly positive relation between return and E(IVOL), just as reported in my JFE paper.
Keywords
Idiosyncratic Volatility, Expected Idiosyncratic Volatility, EGARCH
Discipline
Finance
Research Areas
Finance
Identifier
10.2139/ssrn.1742171
Publisher
SSRN
Citation
FU, Fangjian.
On the robustness of the positive relation between expected idiosyncratic volatility and expected return. (2010).
Available at: https://ink.library.smu.edu.sg/lkcsb_research/5290
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.2139/ssrn.1742171