Name: Bayesian Methods in Finance
ISBN: 9780470249246

Book information

Authors: S. T. Rachev verified identity
First published: 2008
Editions known: 2
Publishers: John Wiley & Sons, Ltd.
Languages: eng
ISBN-13: 9780470249246, 9780471920830
Also covers: Quantitative Finance

Overview

Bayesian Methods in Finance is a book by S. T. Rachev, first published in 2008.

Audience and depth. The rule-based model places its mathematical difficulty at advanced level (7/10); readers are typically expected to know calculus, probability theory, statistics and stochastic processes.

Orientation. The theory-versus-practice balance could not be determined from metadata. The archive holds 6 papers whose topics and vocabulary overlap with this book; those links are inferred (see the research connections below).

How to read this page. Topics, difficulty, prerequisites and orientation are model-derived (rule-based, rule_based_v1) from bibliographic metadata such as title, subject headings and edition data. They were not produced by reading the book and are not a review. Relevance confidence is 80% and difficulty confidence is 66%; the catalogue lists no ratings or awards.

Research assessment

Rule-based and model-derived from metadata (title, subject headings, edition data). These are not reviews or ratings; see the evidence below.

Quant-finance relevance	55/100 confidence 80% Score 55.2/100. Strongest: quant_relevance 0.76, technical_depth 0.58; weakest: practical_applicability 0.00. Evidence: subjects:'finance -- mathematical models'.
Mathematical difficulty	Advanced (7/10) confidence 66%
Prerequisites	calculus, probability theory, statistics, stochastic processes
Metadata quality	84%

Difficulty evidence (3 signals)

likelihood_bayes matched in subjects: “bayesian”
likelihood_bayes matched in title: “bayesian”
stochastic_processes matched in subjects: “markov processes”

Research connections

Related papers on this site

Similarity of research area (shared vocabulary, topics and methods). Not citations: the paper does not necessarily cite this book.

A Hybrid Architecture for Options Wheel Strategy Decisions: LLM-Generated Bayesian Networks for Transparent Trading Methodological overlap inferred similarity 0.33
Regime Detection in Latent Factor Models -- A Bayesian Decision-Theoretic Approach Methodological overlap inferred similarity 0.33
Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Methodological overlap inferred similarity 0.33
Robust Bayesian Dynamic Programming for On-policy Risk-sensitive Reinforcement Learning Methodological overlap inferred similarity 0.31
Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function Approximation Methods Methodological overlap inferred similarity 0.30
Detecting Toxic Flow Methodological overlap inferred similarity 0.30

Methods covered

Bayesian Methods inferred

Similar books

Generalized Hyperbolic Secant Distributions inferred similarity 0.70
An Introduction to Continuous-Time Stochastic Processes inferred similarity 0.59
A First Course in Quantitative Finance inferred similarity 0.58
Introduction to Quantitative Finance inferred similarity 0.58
Quantitative Finance inferred similarity 0.56

Author profiles

S. T. Rachev verified identity

External resources

Open Library
Search on Amazon (ISBN-13 9780471920830) (search link; may be an affiliate link)

Relationship graph

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