返回
摘要
En 中文
We test for the presence of a systematic tail risk premium in the cross section of expected returns by applying a measure of the sensitivity of assets to extreme market downturns, the tail beta. Empirically, historical tail betas help predict the future performance of stocks in extreme market downturns. During a market crash, stocks with historically high tail betas suffer losses that are approximately 2 to 3 times larger than their low-tail-beta counterparts. However, we find no evidence of a premium associated with tail betas. The theoretically additive and empirically persistent tail betas can help assess portfolio tail risks.
Keyword:
PARTIAL MOMENT FRAMEWORK
COVARIANCE-MATRIX
EXPECTED RETURNS
EQUITY RETURNS
CROSS-SECTION
DOWNSIDE RISK
STOCK RETURNS
MARKETS
PREFERENCE
EQUILIBRIUM
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.8
论文数:
2.3K
被引数:
1.0W
机构
引用论文
Nonlinear pricing kernels, kurtosis preference, and evidence from the cross section of equity returns
JOURNAL OF FINANCE
IF9.5

