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• W1567122938 abstract "We build a computational framework for determining an optimal dynamic asset allocation over multiple periods. To do this, we use a nonlinear control policy, which is a function of past returns of investable assets. By employing a kernel method, the problem of selecting the best control policy from among nonlinear functions can be formulated as a convex quadratic optimization problem. Furthermore, we reduce the problem to a linear optimization problem by employing L1-norm regularization. A numerical experiment was conducted wherein scenarios of the rate of return of investable assets were generated by using a one-period autoregressive model, and the results showed that our investment strategy improves an investment performance more than other strategies from previous studies do." @default.
• W1567122938 created "2016-06-24" @default.
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• W1567122938 date "2011-01-01" @default.
• W1567122938 modified "2023-09-27" @default.
• W1567122938 title "A NONLINEAR CONTROL POLICY USING KERNEL METHOD FOR DYNAMIC ASSET ALLOCATION(<Special Issue>SCOPE (Seminar on Computation and OPtimization for new Extensions))" @default.
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• W1567122938 doi "https://doi.org/10.15807/jorsj.54.201" @default.
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