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Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101492085251
ISBN-139781492085256
eBay Product ID (ePID)6050406798
Product Key Features
Number of Pages331 Pages
Publication NameMachine Learning for Financial Risk Management with Python : Algorithms for Modeling Risk
LanguageEnglish
Publication Year2022
SubjectComputer Science, Economics / General, Insurance / Risk Assessment & Management
TypeTextbook
Subject AreaComputers, Business & Economics
AuthorAbdullah Karasan
FormatTrade Paperback
Dimensions
Item Height0.8 in
Item Weight20.5 Oz
Item Length9.1 in
Item Width7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2023-275992
Dewey Edition23
IllustratedYes
Dewey Decimal658.155
SynopsisFinancial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models. Author Abdullah Karasan helps you explore the theory behind financial risk modeling before diving into practical ways of employing ML models in modeling financial risk using Python. With this book, you will: Review classical time series applications and compare them with deep learning models Explore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning Improve market risk models (VaR and ES) using ML techniques and including liquidity dimension Develop a credit risk analysis using clustering and Bayesian approaches Capture different aspects of liquidity risk with a Gaussian mixture model and Copula model Use machine learning models for fraud detection Predict stock price crash and identify its determinants using machine learning models
LC Classification NumberHD61
