Abstract
This paper aims to distribute the risk among equity risk, interest rate risk and inflation risk, in a portfolio to prevent a risk concentrated portfolio by employing diversified risk parity (DRP) strategy. Principal component analysis and minimum linear torsion models are used to obtain DRP strategies which are compared with other risk based models and tested on five different asset classes whose prices are collected between January 1988 and December 2017. For attaining a thorough analysis, we include mean-variance optimization whose results are compared with both risk-based and DRP strategies in the out-of-sample testing using Sharpe ratio and uncorrelated risk factors. The results demonstrate that DRP strategies have better performance than other models. Specifically, DRP based on the minimum linear torsion model yields the highest Sharpe and risk diversification ratios. Thus, this strategy may guide the investors to construct risk diversified portfolios, especially, during financial crises.
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