Minimax theorems for American options without time-consistency
Denis Belomestny (),
Tobias Hübner (),
Volker Krätschmer () and
Sascha Nolte ()
Additional contact information
Denis Belomestny: University of Duisburg–Essen
Tobias Hübner: University of Duisburg–Essen
Volker Krätschmer: University of Duisburg–Essen
Sascha Nolte: University of Duisburg–Essen
Finance and Stochastics, 2019, vol. 23, issue 1, No 6, 209-238
Abstract:
Abstract In this paper, we give sufficient conditions guaranteeing the validity of the well-known minimax theorem for the lower Snell envelope. Such minimax results play an important role in the characterisation of arbitrage-free prices of American contingent claims in incomplete markets. Our conditions do not rely on the notions of stability under pasting or time-consistency and reveal some unexpected connection between the minimax result and path properties of the corresponding process of densities. We exemplify our general results in the case of families of measures corresponding to diffusion exponential martingales.
Keywords: Minimax; Lower Snell envelope; Time-consistency; Nearly sub-Gaussian random fields; Metric entropies; Simons’ lemma; 60G40; 90C47; 91G20; 60G17 (search for similar items in EconPapers)
JEL-codes: C73 D81 G12 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s00780-018-0378-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:finsto:v:23:y:2019:i:1:d:10.1007_s00780-018-0378-2
Ordering information: This journal article can be ordered from
http://www.springer. ... ance/journal/780/PS2
DOI: 10.1007/s00780-018-0378-2
Access Statistics for this article
Finance and Stochastics is currently edited by M. Schweizer
More articles in Finance and Stochastics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().