OPTIMAL STOPPING WITH SIGNATURES
成果类型:
Article
署名作者:
Bayer, Christian; Hager, Paul P.; Riedel, Sebastian; Schoenmakers, John
署名单位:
Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics; Humboldt University of Berlin; Fern University Hagen
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/22-AAP1814
发表日期:
2023
页码:
238-273
关键词:
rough
path
摘要:
We propose a new method for solving optimal stopping problems (such as American option pricing in finance) under minimal assumptions on the un-derlying stochastic process X. We consider classic and randomized stopping times represented by linear and nonlinear functionals of the rough path sig-nature X
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