G2TT
来源类型Discussion paper
规范类型论文
来源IDDP12686
DP12686 Betting Against Correlation: Testing Theories of the Low-Risk Effect
Lasse Heje Pedersen; Niels Joachim Gormsen
发表日期2018-02-05
出版年2018
语种英语
摘要We test whether the low-risk effect is driven by (a) leverage constraints and thus risk should be measured using beta vs. (b) behavioral effects and thus risk should be measured by idiosyncratic risk. Beta depends on volatility and correlation, where only volatility is related to idiosyncratic risk. Hence, the new factor betting against correlation (BAC) is particularly suited to differentiating between leverage constraints vs. lottery explanations. BAC produces strong performance in the US and internationally, supporting leverage constraint theories. Similarly, we construct the new factor SMAX to isolate lottery demand, which also produces positive returns. Consistent with both leverage and lottery theories contributing to the low-risk effect, we find that BAC is related to margin debt while idiosyncratic risk factors are related to sentiment and casino profits.
主题Financial Economics
关键词Asset pricing Leverage constraints Lottery demand Margin Sentiment
URLhttps://cepr.org/publications/dp12686
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/541498
推荐引用方式
GB/T 7714
Lasse Heje Pedersen,Niels Joachim Gormsen. DP12686 Betting Against Correlation: Testing Theories of the Low-Risk Effect. 2018.
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