Abstract

In this paper, which is a continuation of the discrete-time paper (Björk and Murgoci in Finance Stoch. 18:545–592, 2004), we study a class of continuous-time stochastic control problems which, in various ways, are time-inconsistent in the sense that they do not admit a Bellman optimality principle. We study these problems within a game-theoretic framework, and we look for Nash subgame perfect equilibrium points. For a general controlled continuous-time Markov process and a fairly general objective functional, we derive an extension of the standard Hamilton–Jacobi–Bellman equation, in the form of a system of nonlinear equations, for the determination of the equilibrium strategy as well as the equilibrium value function. The main theoretical result is a verification theorem. As an application of the general theory, we study a time-inconsistent linear-quadratic regulator. We also present a study of time-inconsistency within the framework of a general equilibrium production economy of Cox–Ingersoll–Ross type (Cox et al. in Econometrica 53:363–384, 1985).

Highlights

  • The purpose of this paper is to study a class of stochastic control problems in continuous time which have the property of being time-inconsistent in the sense that they do not allow a Bellman optimality principle

  • We attack a fairly general class of timeinconsistent problems by using a game-theoretic approach; so instead of searching for optimal strategies, we search for subgame perfect Nash equilibrium strategies

  • – In Sect. 6, the results of Sect. 5 are extended to a more general reward functional. – Section 7 treats the infinite-horizon case. – In Sect. 8, we study a time-inconsistent version of the linear-quadratic regulator to illustrate how the theory works in a concrete case. – Section 9 is devoted to a rather detailed study of a general equilibrium model for a production economy with time-inconsistent preferences. – In Sect. 10, we review some remaining open problems

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Summary

Introduction

The purpose of this paper is to study a class of stochastic control problems in continuous time which have the property of being time-inconsistent in the sense that they do not allow a Bellman optimality principle. The very concept of optimality becomes problematic, since a strategy which is optimal given a specific starting point in time and space may be non-optimal when viewed from a later date and a different state. We attack a fairly general class of timeinconsistent problems by using a game-theoretic approach; so instead of searching for optimal strategies, we search for subgame perfect Nash equilibrium strategies. The paper presents a continuous-time version of the discrete-time theory developed in our previous paper [5]. Since we build heavily on the discrete-time paper, the reader is referred to that for motivating examples and more detailed discussions on conceptual issues

Previous literature
Structure of the paper
The model
Problem formulation
An informal derivation of the extended HJB equation
Deriving the equation
Existence and uniqueness
A verification theorem
The general case
Infinite horizon
Example: the time-inconsistent linear-quadratic regulator
Equilibrium definitions
Intrapersonal equilibrium
Market equilibrium
Main goals of the study
The extended HJB equation
Determining market equilibrium
Recap of standard results
The stochastic discount factor
A representation formula for M
Generalities
Power utility
Checking the verification theorem conditions for power utility
10 Conclusion and open problems
Full Text
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