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Portfolio management under drawdown constraint in discrete-time financial markets

Published online by Cambridge University Press:  09 December 2022

Diego Hernández-Bustos*
Affiliation:
Instituto de Investigaciones en Matemáticas Aplicadas y Sistemas U.N.A.M.
Daniel Hernández-Hernández*
Affiliation:
Research Center for Mathematics (CIMAT)
*
*Postal address: Circuito Escolar 3000, C.U., Ciudad de México, Coyoacán, 04510, México. Email address: diego.hernandez@iimas.unam.mx
**Postal address: Apartado postal 402, Guanajuato, GTO, 36000, México. Email address: dher@cimat.mx

Abstract

Considering a representative agent in the market, we study the long-term optimal investment problem in a discrete-time financial market, introducing a set of restrictions in the admissible strategies. The drawdown constraints limit the size of possible losses of the portfolio and impose a floor-based performance measure. The optimal growth rate is characterized, and under suitable hypotheses it is proved that an optimal strategy exists. The approach to solving this problem is based on dynamic programming techniques and a fixed point argument adapted from the theory of Markov decision processes.

MSC classification

Type
Original Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Applied Probability Trust

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