A note on using cross-sectional information in Bayesian estimation on security betas

B-Tier
Journal: Review of Asset Pricing Studies
Year: 2022
Volume: 12
Issue: 1
Pages: 1-52

Authors (2)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Many financial instruments are designed with embedded leverage, such as options and leveraged exchange-traded funds (ETFs). Embedded leverage alleviates investors’ leverage constraints, and, therefore, we hypothesize that embedded leverage lowers required returns. Consistent with this hypothesis, we find empirically that options and leveraged ETFs provide significant amounts of embedded leverage; this embedded leverage increases return volatility in proportion to the embedded leverage; and higher embedded leverage is associated with lower risk-adjusted returns. The results are statistically and economically significant, and we provide extensive robustness tests and discuss the broader implications of embedded leverage for financial economics. (JEL G02, G11, G12, G13, G14, G20)

Technical Details

RePEc Handle
repec:oup:rasset:v:12:y:2022:i:1:p:1-52.
Journal Field
Finance
Author Count
2
Added to Database
2026-01-28