6533b85ffe1ef96bd12c252c

RESEARCH PRODUCT

A Perturbation Approach to Continuous-Time Portfolio Selection Under Stochastic Investment Opportunities

Dietmar Leisen

subject

Power utilityMathematical optimizationPartial differential equationbusiness.industryMathematicsofComputing_NUMERICALANALYSISPerturbation (astronomy)Asset allocationSymbolic computationDynamic programmingSoftwareComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONEconomicsPortfoliobusiness

description

This paper studies portfolio selection in continuous-time models with stochastic investment opportunities. We consider asset allocation problems where preferences are specified as power utility derived from terminal wealth as well as consumption-savings problems with recursive utility Epstein-Zin preferences. The paper approximates the associated dynamic programming problem by perturbing the coefficients of the stochastic dynamics. We represent the Hamilton-Jacobi-Bellman equation as a series of partial differential equations that can be solved iteratively in closed-form through computer algebra software, at any desired accuracy.

https://doi.org/10.2139/ssrn.2331434