Drawdown-at-Risk Monte Carlo Optimization

12 Pages Posted: 12 Mar 2011

Date Written: March 10, 2011

Abstract

We present a portfolio construction approach with two interesting non-standard features: First, the risk measure used is “drawdown-at-risk”, an interesting concept combining attractive features of drawdown and value-at-risk measures. Second, the efficient frontier is calculated from “random portfolios”, i.e. portfolios containing random constituent weights. We call this “Monte Carlo optimization”. Both features would deserve a detailed analysis. The goal of this note is to provide an overview and illustrate the potential of the approach with two examples: Asset allocation in a small universe consisting of three assets (Indian stocks and bonds as well as gold in INR) and drawdown optimization on single-stock level across the full S&P 500 universe.

Keywords: Drawdown, Risk, Monte Carlo Portfolio, Construction, Optimization

Suggested Citation

Steiner, Andreas, Drawdown-at-Risk Monte Carlo Optimization (March 10, 2011). Available at SSRN: https://ssrn.com/abstract=1782664 or http://dx.doi.org/10.2139/ssrn.1782664

Andreas Steiner (Contact Author)

Andreas Steiner Consulting GmbH ( email )

Walderstrasse 43c
Hinwil, 8340
Switzerland

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