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Detecting and repairing arbitrage in traded option prices

Abstract:

Option price data are used as inputs for model calibration, risk-neutral density estimation and many other financial applications. The presence of arbitrage in option price data can lead to poor performance or even failure of these tasks, making pre-processing of the data to eliminate arbitrage necessary. Most attention in the relevant literature has been devoted to arbitrage-free smoothing and filtering (i.e. removing) of data. In contrast to smoothing, which typically changes nearly all dat...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Role:
Author, Author
Publisher:
Taylor and Francis Publisher's website
Journal:
Applied Mathematical Finance Journal website
Volume:
27
Issue:
5
Pages:
345-373
Publication date:
2021-02-08
Acceptance date:
2020-10-27
DOI:
EISSN:
1466-4313
ISSN:
1350-486X
Language:
English
Keywords:
Pubs id:
1140103
Local pid:
pubs:1140103
Deposit date:
2020-10-29

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