Abstract
In this paper we describe the history of different portfolio construction approaches from a simple Risk Parity approach and its extension Equal Risk Contribution over Markovitz mean-variance to conditional Value-at-Risk and others like minimum Value-at-Risk or Average Drawdown. We implement the portfolio construction methodologies in Python and estimate a set of risk and performance metrics. We apply the approaches on a traditional multi asset portfolio and empirically show that a particular approach dominates the others in most metrics.
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