On the optimal exercise boundaries of swing put options
Tiziano De Angelis, Yerkin Kitapbayev

TL;DR
This paper characterizes the time-dependent optimal exercise boundaries for swing put options using probabilistic methods, providing a detailed description of the stopping regions and a formula for the option's value.
Contribution
It introduces a novel probabilistic approach to determine the optimal exercise boundaries in swing put options with coupled integral equations.
Findings
Boundaries are continuous and monotonic functions of time.
Unique solutions to the coupled integral equations are established.
A formula for the value function of the swing put option is derived.
Abstract
We use probabilistic methods to characterise time dependent optimal stopping boundaries in a problem of multiple optimal stopping on a finite time horizon. Motivated by financial applications we consider a payoff of immediate stopping of "put" type and the underlying dynamics follows a geometric Brownian motion. The optimal stopping region relative to each optimal stopping time is described in terms of two boundaries which are continuous, monotonic functions of time and uniquely solve a system of coupled integral equations of Volterra-type. Finally we provide a formula for the value function of the problem.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Insurance, Mortality, Demography, Risk Management · Economic theories and models
