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Consumption-investment decisions with endogenous reference point and drawdown constraint

Author

Listed:
  • Zongxia Liang

    (Tsinghua University)

  • Xiaodong Luo

    (Tsinghua University)

  • Fengyi Yuan

    (Tsinghua University)

Abstract

We study a consumption-investment decision problem related to the past spending maximum. In the problem, we consider two crucial consumption levels: the lowest constrained level and a reference level, and both levels are fractions of the past spending maximum. The decision-maker has different risk aversions on different sides of the reference level. We solve this stochastic control problem and derive semi-explicit forms of the value function, optimal consumption plan, and optimal investment strategy. We find five important wealth thresholds which are nonlinear functions of the past spending maximum. Based on numerical results and theoretical analysis, we also find that the model has significant economic implications. There are at least three important predictions: the marginal propensity to consume out of wealth is generally decreasing but can be increasing for intermediate wealth levels, and it varies inversely with risk aversion at the reference level; the implied relative risk aversion is roughly a smile in wealth; the welfare is much more vulnerable to wealth shocks when the reference level is not reached.

Suggested Citation

  • Zongxia Liang & Xiaodong Luo & Fengyi Yuan, 2023. "Consumption-investment decisions with endogenous reference point and drawdown constraint," Mathematics and Financial Economics, Springer, volume 17, number 6, June.
  • Handle: RePEc:spr:mathfi:v:17:y:2023:i:2:d:10.1007_s11579-023-00335-x
    DOI: 10.1007/s11579-023-00335-x
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    References listed on IDEAS

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    More about this item

    Keywords

    Consumer behavior; Past consumption peak; Drawdown constraint; Endogenous reference point; Stochastic control;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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