Betting Against Correlation: Testing Theories of the Low-Risk Effect

Published: Jan 1, 2016
Abstract
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...
Paper Details
Title
Betting Against Correlation: Testing Theories of the Low-Risk Effect
Published Date
Jan 1, 2016
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