£82.39

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£82 today · all-time low £81 (Aug 2026) · usually £83

Springer Irreversible Decisions under Uncertainty: Optimal Stopping

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£83.20 £81.29 £81.70 £82.12 £82.54 £82.96 £83.37 11 August 2026 27 August 2026 13 September 2026 30 September 2026 17 October 2026
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15 days 53 days 0 13 27 40 53 £81 £83 Days at Price

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Most common price: £83 (53 days, 77.9%)

Price range: £81 - £83

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Description

This Springer monograph by two experienced authors presents a simplified approach to optimal stopping problems that avoids the complexity of standard literature methods. The technique, grounded in option pricing via Wiener-Hopf factorization, equips readers with practical tools applicable across economics and finance. Whether you are tackling classical problems or exploring new applications, this book makes advanced decision theory accessible through clear explanations and concrete examples. Ideal for economists, financial analysts, and researchers seeking elegant solutions to irreversible decision-making under uncertainty, this volume demonstrates how theoretical rigour and practical applicability can coexist in modern economic analysis.

Key Features

Presents simplified optimal stopping techniques that replace complex standard methods found in traditional econometric literature.

Teaches practical applications of Wiener-Hopf factorization approach to real-world economics and finance problems.

Volume 27 in the Studies in Economic Theory series published by Springer, establishing credibility within academic economics.

Written by two highly experienced authors who translate difficult concepts into accessible explanations for graduate students and practitioners.

Covers both established optimal stopping problems and new emerging applications in financial decision-making under uncertainty.

Grounded in option pricing theory, providing a mathematical framework relevant to derivatives, investment, and resource allocation decisions.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 September 2007
Listed Since
01 August 2007

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No barcode data available

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