Revisiting the 1/N-strategy : a neural network framework for optimal strategies
Year of publication: |
2023
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Authors: | Escobar, Marcos ; Theilacker, Lorenz ; Zagst, Rudi |
Published in: |
Decisions in economics and finance : a journal of applied mathematics. - Milano : Springer Italia, ISSN 1129-6569, ZDB-ID 2023516-1. - Vol. 46.2023, 2, p. 505-542
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Subject: | Dynamic portfolio optimization | Expected utility theory | Financial factors | Neural network architecture | Portfolio-Management | Portfolio selection | Theorie | Theory | Neuronale Netze | Neural networks | Erwartungsnutzen | Expected utility |
Description of contents: | Description [doi.org] |
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Expected utility theory on general affine GARCH models
Escobar, Marcos, (2021)
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A neural network Monte Carlo approximation for expected utility theory
Zhu, Yichen, (2021)
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Optimal consumption and investment in general affine GARCH models
Escobar, Marcos, (2024)
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Closed-Form Pricing of Two-Asset Barrier Options with Stochastic Covariance
Götz, Barbara, (2014)
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Escobar, Marcos, (2014)
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Portfolio Optimization in Affine Models with Markov Switching
Escobar, Marcos, (2014)
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