Risk Budgeting Portfolios from Simulations


Risk budgeting is a portfolio strategy where each asset contributes a prespecified amount to the aggregate risk of the portfolio. In this work, we propose a numerical framework that uses only simulations of returns for estimating risk budgeting portfolios. Specifically, we provide a Sample Average Approximation (SAA) algorithm with cutting planes, and a Stochastic Gradient Decent algorithm, tailored to the risk budgeting portfolio for the Expected Shortfall. We illustrate different risk budgeting portfolios, constructed using a especially designed Julia package, on real financial data and compare it to classical portfolio strategies.

May 9, 2023 12:00 AM
Financial and Actuarial Mathematics (FAM) seminar, UCLA
Rodrigo S. Targino
Rodrigo S. Targino
Assistant Professor of Statistics