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Risk Budgeting Portfolios from Simulations

Bernardo Freitas Paulo da Costa, Silvana M. Pesenti and Rodrigo Targino

Papers from arXiv.org

Abstract: 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 an efficient numerical framework that uses only simulations of returns for estimating risk budgeting portfolios. Besides a general cutting planes algorithm for determining the weights of risk budgeting portfolios for arbitrary coherent distortion risk measures, we provide a specialised version for the Expected Shortfall, and a tailored Stochastic Gradient Descent (SGD) algorithm, also for the Expected Shortfall. We compare our algorithm to standard convex optimisation solvers and illustrate different risk budgeting portfolios, constructed using an especially designed Julia package, on real financial data and compare it to classical portfolio strategies.

Date: 2023-02
New Economics Papers: this item is included in nep-cmp and nep-rmg
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Citations: View citations in EconPapers (2)

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http://arxiv.org/pdf/2302.01196 Latest version (application/pdf)

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Journal Article: Risk budgeting portfolios from simulations (2023) Downloads
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