Orthogonalized Equity Risk Premia and Systematic Risk Decomposition
AbstractTo solve the dependency problem between factors, in the context of linear multi-factor models, this study proposes an optimal procedure to find orthogonalized risk premia, which also facilitates the decomposition of the coefficient of determination. Importantly, the new risk premia may diverge significantly from the original ones. The decomposition of risk allows one to explicitly examine the impact of individual factors on the return variation of risky assets, which provides discriminative power for factor selection. The procedure is experimentally robust even for small samples. Empirically we find that even though on average, approximately eighty (sixtyfive) percent of style (industry) portfolios’ volatility is explained by the market and size factors, other factors such as value, momentum and contrarian still play an important role for certain portfolios. The components of systematic risk, while dynamic over time, generally exhibit negative correlation between market, on one side, and size, value, momentum and contrarian, on the other side.
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Bibliographic InfoPaper provided by Department of Economics, West Virginia University in its series Working Papers with number 10-05.
Length: 32 pages
Date of creation: 2010
Date of revision:
Orthogonalization; Systematic Risk; Decomposition; Fama-French Model; Asset Pricing.;
Find related papers by JEL classification:
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
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