Optimal stopping problems for running minima with positive discounting rates
Pavel V. Gapeev
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
We present analytic solutions to some optimal stopping problems for the running minimum of a geometric Brownian motion with exponential positive discounting rates. The proof is based on the reduction of the original problems to the associated free-boundary problems and the solution of the latter problems by means of the smooth-fit and normal-reflection conditions. We show that the optimal stopping boundaries are determined as the minimal solutions of certain first-order nonlinear ordinary differential equations. The obtained results are related to the valuation of perpetual dual American lookback options with fixed and floating strikes in the Black-Merton-Scholes model from the point of view of short sellers.
Keywords: a change-of-variable formula with local time on surfaces; Brownian motion; exponential positive discounting rate; free-boundary problem; optimal stopping problem; running minimum process (search for similar items in EconPapers)
JEL-codes: C1 (search for similar items in EconPapers)
Pages: 12 pages
Date: 2020-12-01
New Economics Papers: this item is included in nep-isf and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations:
Published in Statistics and Probability Letters, 1, December, 2020, 167. ISSN: 0167-7152
Downloads: (external link)
http://eprints.lse.ac.uk/105849/ Open access version. (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:105849
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().