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Optimal Retirement Planning Under Partial Information
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The 32 checked references that resolve
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OPTIMAL PORTFOLIO, CONSUMPTION‐LEISURE AND RETIREMENT CHOICE PROBLEM WITH CES UTILITY
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Lifetime consumption and investment: Retirement and constrained borrowing
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Verification Theorems for Models of Optimal Consumption and Investment with Retirement and Constrained Borrowing
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Saving and investing for early retirement: A theoretical analysis☆
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XXIV. On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. In a letter to Francis Baily, Esq. F. R. S. &c
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Consumption and Portfolio Policies With Incomplete Markets and Short‐Sale Constraints: the Finite‐Dimensional Case<sup>1</sup>
resolves10.1016/0022-0531(91)90123-l
Consumption and portfolio policies with incomplete markets and short-sale constraints: The infinite dimensional case
resolves10.1214/aoap/1177005770
Optimal Consumption and Portfolio Policies with an Infinite Horizon: Existence and Convergence
resolves10.1137/0325086
Optimal Portfolio and Consumption Decisions for a “Small Investor” on a Finite Horizon
resolves10.1137/0329039
Martingale and Duality Methods for Utility Maximization in an Incomplete Market
resolves10.1016/j.jmaa.2015.03.025
An optimal consumption, investment and voluntary retirement choice problem with disutility and subsistence consumption constraints: A dynamic programming approach
resolves10.1016/0022-0531(71)90038-x
Optimum consumption and portfolio rules in a continuous-time model
resolves10.1016/j.jedc.2008.02.005
Portfolio and consumption choice with stochastic investment opportunities and habit formation in preferences
resolves10.1016/j.jbankfin.2006.10.015
Optimal life insurance purchase and consumption/investment under uncertain lifetime
resolves10.1239/jap/1118777176
Portfolio optimization with unobservable Markov-modulated drift process
resolves10.1007/s00780-004-0132-9
Optimizing the terminal wealth under partial information: The drift process as a continuous time Markov chain
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