Predicting the Equity Premium with a High-Threshold Risk Level and the Price of Risk 

60 Pages Posted: 18 Jun 2023 Last revised: 25 Aug 2024

See all articles by Naresh Bansal

Naresh Bansal

Saint Louis University - Department of Finance

Chris T. Stivers

University of Louisville

Date Written: August 22, 2024

Abstract

Over 1990 to 2023, we show that time-variation in the US equity premium is captured well by a parsimonious model with the CBOE’s implied-volatility index VIX and the sentiment index of Baker and Wurgler (2006).   The equity premium declines linearly with sentiment but increases nonlinearly with VIX, stepping up appreciably when VIX exceeds a threshold around its 80th to 85th percentile.   For 6-month and 12-month forecasting horizons, the predictive adjusted R-squared values are about 19% and 29%, respectively. Our predictive findings are robustly evident for 1-, 3-, 6-, and 12-month horizons, in subperiods, for in-sample and out-of-sample evaluations, and when adding control variables.    Our interpretation is that a high-VIX threshold identifies episodes of market stress that generally have both a sharply higher level of risk and an elevated price of risk. Sentiment complements VIX and seems particularly effective in identifying times with a low price of risk.

Keywords: nonlinear threshold risk-return relation, investor sentiment, stock market volatility

JEL Classification: G11, G12

Suggested Citation

Bansal, Naresh and Stivers, Chris T., Predicting the Equity Premium with a High-Threshold Risk Level and the Price of Risk  (August 22, 2024). Available at SSRN: https://ssrn.com/abstract=4477652 or http://dx.doi.org/10.2139/ssrn.4477652

Naresh Bansal

Saint Louis University - Department of Finance ( email )

Richard A. Chaifetz School of Business
St. Louis, MO 63108
United States
314-977-7204 (Phone)

Chris T. Stivers (Contact Author)

University of Louisville ( email )

Finance Dept., College of Business
University of Louisville
Louisville, KY 40292
United States
502-852-4829 (Phone)

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

Paper statistics

Downloads
538
Abstract Views
1,646
Rank
101,185
PlumX Metrics