2017
DOI: 10.1137/15m1030625
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Long-Term Optimal Investment in Matrix Valued Factor Models

Abstract: Abstract. Long horizon optimal investment problems are studied in a factor model with matrix valued state variables. Explicit parameter restrictions are obtained under which, for an isoelastic investor, the finite horizon value function and optimal strategy converge to their long-run counterparts as the investment horizon approaches infinity. Additionally, portfolio turnpikes are obtained in which finite horizon optimal strategies for general utility functions converge to the long-run optimal strategy for isoe… Show more

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Cited by 7 publications
(6 citation statements)
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“…This strategy has been applied to portfolio optimization problems for time separable utilities, cf. [18] and [37].…”
Section: Consumption Investment Optimizationmentioning
confidence: 99%
“…This strategy has been applied to portfolio optimization problems for time separable utilities, cf. [18] and [37].…”
Section: Consumption Investment Optimizationmentioning
confidence: 99%
“…We borrowed this method from Chapter 10 of Stroock and Varadhan (2006). The readers can also refer to Robertson and Xing (2017) and Xing (2017) for more applications.…”
Section: The Verification Theoremmentioning
confidence: 99%
“…The solutions to this BSDE are unbounded and thereby the BMO argument breaks down. To proceed, we impose appropriate parameter conditions and overcome the difficulties by Lyapunov function argument, which is borrowed from Stroock and Varadhan (2006) and this method is utilized by Robertson and Xing (2017) for proving the optimality of the strategy before. Then the verification result can be confirmed carefully.…”
Section: Introductionmentioning
confidence: 99%
“…Davis & Lleo, 2015, for an overview in the jump-diffusion setting); and, as our results are valid for general factor processes, this technique is applicable to optimal investment and risk-sensitive control problems with matrix-valued factor process (cf. Buraschi, Porchia, & Trojani, 2010;Bäuerle & Li, 2013;Robertson & Xing, 2017), as well as jumps in asset prices.…”
Section: Introductionmentioning
confidence: 99%