Optimal Risk Budgeting under a Finite Investment Horizon

Authors

Marcos Lopez de Prado, Cornell University
Ralph Vince, Vince Strategies LLC
Qiji Jim Zhu, Western Michigan UniversityFollow

Document Type

Article

Publication Date

8-5-2019

Abstract

Growth Optimal Portfolio (GOP) theory determines the path of bet sizes that maximize long-term wealth. This multi-horizon goal makes it more appealing among practitioners than myopic approaches, like Markowitz's mean-variance or risk parity. The GOP literature typically considers risk-neutral investors with an infinite investment horizon. In this paper, we compute the optimal bet sizes in the more realistic setting of risk-averse investors with finite investment horizons. We find that, under this more realistic setting, the optimal bet sizes are considerably smaller than previously suggested by the GOP literature. We also develop quantitative methods for determining the risk-adjusted growth allocations (or risk budgeting) for a given finite investment horizon.

Comments

Download from the SSRN.

http://dx.doi.org/10.3390/risks7030086

WMU ScholarWorks Citation

Lopez de Prado, Marcos; Vince, Ralph; and Zhu, Qiji Jim, "Optimal Risk Budgeting under a Finite Investment Horizon" (2019). Math Faculty Publications. 48.
https://scholarworks.wmich.edu/math_pubs/48

Published Citation

López de Prado, Marcos, Ralph Vince, and Qiji Jim Zhu. “Optimal Risk Budgeting under a Finite Investment Horizon.” Risks 7.3 (2019): 86. Available: http://dx.doi.org/10.3390/risks7030086.