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Statistical Decision Theory for Finance: Utility, Loss, and Choice Under Uncertainty: A Comprehensive Guide

by Alice Schwartz , Hayden Van Der Post
Save 12% Save 12%
Current price ₹3,549.00
Original price ₹4,034.00
Original price ₹4,034.00
Original price ₹4,034.00
(-12%)
₹3,549.00
Current price ₹3,549.00

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Book cover type: Paperback
  • ISBN13: 9798258884428
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 588
  • Original Price: GBP 31.03
  • Language: English
  • Edition: N/A
  • Item Weight: 776 grams
  • BISAC Subject(s): Finance / General

Reactive Publishing

Statistical Decision Theory for Finance introduces the mathematical logic behind financial decisions made under uncertainty. Rather than treating finance as a collection of fixed formulas, this book focuses on how analysts, investors, researchers, and quantitative practitioners can evaluate choices when outcomes are uncertain, information is incomplete, and trade-offs are unavoidable.

The book examines core ideas from statistical decision theory and connects them to financial reasoning, including utility, loss, risk preferences, Bayesian thinking, expected value, model uncertainty, and decision rules. Readers are guided through the conceptual foundations that shape portfolio choice, forecasting, risk assessment, and model-based financial analysis.

Inside, readers will explore:

  • Utility and loss as frameworks for evaluating financial outcomes
  • How uncertainty changes the structure of rational decision-making
  • Expected utility, risk preferences, and trade-offs
  • Loss functions in forecasting, estimation, and model evaluation
  • Bayesian decision rules and probabilistic reasoning
  • Applications to portfolio analysis, risk management, and quantitative finance
  • The limitations of models when applied to real-world financial decisions

Written for finance students, analysts, quants, researchers, and technically minded readers, this book provides a structured introduction to the decision frameworks behind modern financial analysis.

Statistical Decision Theory for Finance is not a trading system or investment advice manual. It is a technical guide to understanding how financial choices can be modeled, evaluated, and compared under uncertainty.

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