RT Journal Article SR Electronic T1 Efficient Algorithms for Computing Risk
Parity Portfolio Weights JF The Journal of Investing FD Institutional Investor Journals SP 150 OP 163 DO 10.3905/joi.2012.21.3.150 VO 21 IS 3 A1 Denis Chaves A1 Jason Hsu A1 Feifei Li A1 Omid Shakernia YR 2012 UL https://pm-research.com/content/21/3/150.abstract AB This article presents two simple algorithms to calculate the portfolio weights for a risk parity strategy, where asset class covariance information is appropriately taken into consideration to achieve “true” equal risk contribution. Previous implementations of risk parity either used a naïve 1/vol solution, which ignores asset class correlations, or computed “true” risk parity weights using relatively complicated optimizations to solve a quadratic minimization program with nonlinear constraints.The two iterative algorithms presented require only simple computations and quickly converge to the optimal solution. In addition to the technical contribution, the authors compute the parity in portfolio “risk allocation” using the Gini coefficient, and confirm that portfolio strategies with parity in “asset class allocation” can actually have high concentration in its “risk allocation.”TOPICS: Portfolio theory, statistical methods, portfolio theory