Idiosyncratic Volatility and the ICAPM Covariance Risk

Journal of Financial and Quantitative Analysis (forthcoming)

56 Pages Posted: 17 Nov 2019 Last revised: 2 Dec 2024

See all articles by Bing Han

Bing Han

University of Toronto, Rotman School of Management

Gang Li

The Chinese University of Hong Kong, CUHK Business School

Date Written: October 30, 2019

Abstract

We show theoretically and empirically that the cross-section of stock return idiosyncratic volatilities contains useful information about the ICAPM. We construct a proxy (CBIV) for the covariance risk between the market and the unobserved hedge portfolio under the ICAPM. Consistent with the ICAPM pricing relation, CBIV is a robust and significant predictor of the equity risk premium. We further show that the return predictability of the tail index in Kelly and Jiang (2014) can be explained by the ICAPM covariance risk.

Keywords: idiosyncratic volatility, conditional covariance risk, tail risk, time-series return predictability, intertemporal capital asset pricing model

JEL Classification: G12, G13, G14, G17

Suggested Citation

Han, Bing and Li, Gang, Idiosyncratic Volatility and the ICAPM Covariance Risk (October 30, 2019). Journal of Financial and Quantitative Analysis (forthcoming), Available at SSRN: https://ssrn.com/abstract=3475179 or http://dx.doi.org/10.2139/ssrn.3475179

Bing Han (Contact Author)

University of Toronto, Rotman School of Management ( email )

Toronto, Ontario M5S 3E6
Canada
4169460732 (Phone)

Gang Li

The Chinese University of Hong Kong, CUHK Business School ( email )

Cheng Yu Tung Building, 12 Chak Cheung Street
Shatin
Hong Kong

HOME PAGE: http://sites.google.com/view/ganglihk

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
778
Abstract Views
3,079
Rank
65,335
PlumX Metrics