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We study Merton's expected utility maximization problem in an incomplete market, characterized by a factor process in addition to the stock price process, where all the model primitives are unknown.
Merton RC (1969) Lifetime portfolio selection under uncertainty: The continuous-time case. The Review of Economics and Statistics 247–257
1969
Earlier work this paper cites.
Merton RC (1980) On estimating the expected return on the market: An exploratory investigation. Journal of Financial Economics 8(4):323–361
1980
Earlier work this paper cites.
Hansen LP, Singleton KJ (1982) Generalized instrumental variables estimation of nonlinear rational expectations models. Econometrica 1269–1286
1982
Earlier work this paper cites.
Kydland FE, Prescott EC (1982) Time to build and aggregate fluctuations. Econometrica 1345–1370
1982
Earlier work this paper cites.
Gennotte G (1986) Optimal portfolio choice under incomplete information. The Journal of Finance 41(3):733–746
1986
Earlier work this paper cites.
Luenberger DG (1998) Investment Science (Oxford University Press: New York)
1998
Earlier work this paper cites.
Gao X, Chan L (2000) An algorithm for trading and portfolio management using Q-learning and Sharpe ratio maximization. Proceedings of the International Conference on Neural Information Processing , 832–837
2000
Earlier work this paper cites.
Pástor L (2000) Portfolio selection and asset pricing models. The Journal of Finance 55(1):179–223
2000
Earlier work this paper cites.
Hansen LP, Sargent TJ (2001) Robust control and model uncertainty. American Economic Review 91(2):60–66
2001
Earlier work this paper cites.
Barndorff-Nielsen OE, Shephard N (2002) Estimating quadratic variation using realized variance. Journal of Applied Econometrics 17(5):457–477
2002
Earlier work this paper cites.
Wachter JA (2002) Portfolio and consumption decisions under mean-reverting returns: An exact solution for complete markets. Journal of Financial and Quantitative Analysis 37(1):63–91
2002
Earlier work this paper cites.
Maenhout PJ (2004) Robust portfolio rules and asset pricing. The Review of Financial Studies 17(4):951–983
2004
Earlier work this paper cites.
Carr P, Geman H, Madan DB, Yor M (2005) Pricing options on realized variance. Finance and Stochastics 9:453–475
2005
Earlier work this paper cites.
Chacko G, Viceira LM (2005) Dynamic consumption and portfolio choice with stochastic volatility in incomplete markets. The Review of Financial Studies 18(4):1369–1402
2005
Earlier work this paper cites.
Kraft H (2005) Optimal portfolios and Heston’s stochastic volatility model: An explicit solution for power utility. Quantitative Finance 5(3):303–313
2005
Cited alongside, same era.
Cvitanić J, Lazrak A, Martellini L, Zapatero F (2006) Dynamic portfolio choice with parameter uncertainty and the economic value of analysts’ recommendations. The Review of Financial Studies 19(4):1113–1156
2006
Cited alongside, same era.
Hansen LP, Sargent TJ, Turmuhambetova G, Williams N (2006) Robust control and model misspecification. Journal of Economic Theory 128(1):45–90
2006
Cited alongside, same era.
Hansen PR, Lunde A (2006) Realized variance and market microstructure noise. Journal of Business & Economic Statistics 24(2):127–161
2006
Cited alongside, same era.
Liu J (2007) Portfolio selection in stochastic environments. The Review of Financial Studies 20(1):1–39
Wang H, Zhou XY (2020) Continuous-time mean–variance portfolio selection: A reinforcement learning framework. Mathematical Finance 30(4):1273–1308
2020
Later among the works it cites.
Bachouch A, Huré C, Langrené N, Pham H (2021) Deep neural networks algorithms for stochastic control problems on finite horizon: Numerical applications. Methodology and Computing in Applied Probability 1–36
2021
Later among the works it cites.
Dai M, Jin H, Kou S, Xu Y (2021) A dynamic mean-variance analysis for log returns. Management Science 67(2):1093–1108
2021
Later among the works it cites.
2021
Later among the works it cites.
Guo X, Xu R, Zariphopoulou T (2022) Entropy regularization for mean field games with learning. Mathematics of Operations Research 47(4):3239–3260
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2007
Cited alongside, same era.
Ziebart BD, Maas AL, Bagnell JA, Dey AK (2008) Maximum entropy inverse reinforcement learning. AAAI , volume 8, 1433–1438 (Chicago, IL, USA)
2008
Cited alongside, same era.
Sutton RS, Barto AG (2011) Reinforcement learning: An Introduction (Cambridge, MA: MIT Press)
2011
Cited alongside, same era.
Drimus GG (2012) Options on realized variance by transform methods: A non-affine stochastic volatility model. Quantitative Finance 12(11):1679–1694
2012
Cited alongside, same era.
Andrei D, Hasler M (2015) Investor attention and stock market volatility. The Review of Financial Studies 28(1):33–72
2015
Cited alongside, same era.
Green PJ, Łatuszyński K, Pereyra M, Robert CP (2015) Bayesian computation: A summary of the current state, and samples backwards and forwards. Statistics and Computing 25:835–862
2015
Cited alongside, same era.
2016
Cited alongside, same era.
Jin O, El-Saawy H (2016) Portfolio management using reinforcement learning. Technical Report, Stanford University
2016
Cited alongside, same era.
2022
Later among the works it cites.
Huang Y, Jia Y, Zhou X (2022) Achieving mean–variance efficiency by continuous-time reinforcement learning. Proceedings of the Third ACM International Conference on AI in Finance , 377–385
2022
Later among the works it cites.
Jiang R, Saunders D, Weng C (2022) The reinforcement learning Kelly strategy. Quantitative Finance 22(8):1445–1464
2022
Later among the works it cites.
Dai M, Dong Y, Jia Y (2023) Learning equilibrium mean-variance strategy. Mathematical Finance 33(4):1166–1212
2023
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Jia Y, Zhou XY (2023) q-Learning in continuous time. Journal of Machine Learning Research 24(161):1–61
2023
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Reppen AM, Soner HM (2023) Deep empirical risk minimization in finance: Looking into the future. Mathematical Finance 33(1):116–145
2023
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Wang B, Gao X, Li L (2023) Reinforcement learning for continuous-time optimal execution: actor-critic algorithm and error analysis. Available at SSRN 4378950
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Duarte V, Duarte D, Silva DH (2024) Machine learning for continuous-time finance. The Review of Financial Studies 37(11):3217–3271
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