Stability of Time-inconsistent Stopping for One-dimensional Diffusion -- A Longer Version
Erhan Bayraktar, Zhenhua Wang, Zhou Zhou

TL;DR
This paper studies how the optimal stopping value for one-dimensional diffusions under time-inconsistent discounting behaves when model parameters change, showing semi-continuity and relaxed continuity properties.
Contribution
It establishes semi-continuity of the optimal value with respect to model parameters and introduces $\\varepsilon$-equilibria to ensure relaxed continuity.
Findings
Optimal value is semi-continuous with respect to drift, volatility, and reward.
Exact continuity of the optimal value may fail in some cases.
Relaxed continuity is achieved using $\\varepsilon$-equilibria.
Abstract
We investigate the stability of the equilibrium-induced optimal value in one-dimensional diffusion setting for a time-inconsistent stopping problem under non-exponential discounting. We show that the optimal value is semi-continuous with respect to the drift, volatility, and reward function. An example is provided showing that the exact continuity may fail. With equilibria extended to -equilibria, we establish the relaxed continuity of the optimal value.
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Taxonomy
TopicsStochastic processes and financial applications · Economic theories and models · Risk and Portfolio Optimization
