Valuation and optimal exercise of derivatives under private information

Abstract We provide an easy-to-use model that values derivatives for a privately informed agent. We introduce private forward prices that conveniently format private information for inclusion in a standard no-arbitrage framework. This framework yields simple expressions for the privately-informed value of European options. We show that flexible timing of American option exercise can be used to mitigate adverse information or exploit favorable information. Private information may thus cause significant differences between European and American call values, even in the absence of dividends.

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Publication Details

Journal
Decisions in Economics and Finance
Published
2025-04-19
DOI
https://doi.org/10.1007/s10203-025-00519-8
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Valuation and optimal exercise of derivatives under private information

Tommy Stamland, Jørgen Haug
Decisions in Economics and Finance
Stochastic processes and financial applications
article

Valuation and optimal exercise of derivatives under private information

Tommy Stamland, Jørgen Haug
article en

Abstract

Abstract We provide an easy-to-use model that values derivatives for a privately informed agent. We introduce private forward prices that conveniently format private information for inclusion in a standard no-arbitrage framework. This framework yields simple expressions for the privately-informed value of European options. We show that flexible timing of American option exercise can be used to mitigate adverse information or exploit favorable information. Private information may thus cause significant differences between European and American call values, even in the absence of dividends.

Decisions in Economics and FinanceVol. 48(2)
Norwegian School of Economics (NO)
Equinor
Openalex Percentile: Top 90%
Stochastic processes and financial applications
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