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Idiosyncratic Volatility and Expected Returns at the Global Level

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TLDR
In this paper, the authors investigate the existence and significance of a cross-sectional relation between idiosyncratic volatility and expected returns at the global level by introducing a global idiosyncratic measure and globally diversified test assets.
Abstract
We investigate the existence and significance of a cross-sectional relation between idiosyncratic volatility and expected returns at the global level by introducing a global idiosyncratic volatility measure and globally diversified test assets. We find that the portfolios with the highest and lowest global idiosyncratic volatility don’t earn significantly different average returns, indicating the absence of a link between global idiosyncratic volatility and expected returns. This result is robust to three different samples utilized; two different asset pricing models, two different data frequencies, and an alternative idiosyncratic volatility definition used to estimate global idiosyncratic volatility; two different weighting schemes to calculate portfolio returns and after controlling for the size of the global idiosyncratic volatility sorted portfolios. It also holds for four different sub-periods and eight subsamples reflecting different states of the economy and stock markets. Our results show that global diversification is effective in stabilizing the returns of global test assets as global investors don’t require a risk premium for bearing global idiosyncratic volatility and that benefits from global diversification can be gained by diversifying across countries or across industries.

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References
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Journal ArticleDOI

Common risk factors in the returns on stocks and bonds

TL;DR: In this article, the authors identify five common risk factors in the returns on stocks and bonds, including three stock-market factors: an overall market factor and factors related to firm size and book-to-market equity.
Journal ArticleDOI

Risk, Return, and Equilibrium: Empirical Tests

TL;DR: In this article, the relationship between average return and risk for New York Stock Exchange common stocks was tested using a two-parameter portfolio model and models of market equilibrium derived from the two parameter portfolio model.
Journal ArticleDOI

The Persistence of Mutual Fund Performance

TL;DR: This article analyzed how mutual fund performance relates to past performance and found evidence that differences in performance between funds persist over time and that this persistence is consistent with the ability of fund managers to earn abnormal returns.
Journal ArticleDOI

A Simple Model of Capital Market Equilibrium with Incomplete Information

TL;DR: The model financial economics encompasses finance, micro-investment theory and much of the economics of uncertainty as mentioned in this paper, and it has had a direct and significant influence on practice, as is evident from its influence on other branches of economics including public finance, industrial organization and monetary theory.
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The Cross-Section of Volatility and Expected Returns

TL;DR: In this article, the authors examine the pricing of aggregate volatility risk in the cross-section of stock returns and find that stocks with high sensitivities to innovations in aggregate volatility have low average returns.
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