Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk - Image 1

£47.20

O'Reilly Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk

Name: Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk
Brand: O'Reilly
Price: 47.2 GBP
Availability: InStock

Corporate

It has never been this cheap. We have no record of a lower price.

£47 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 74 days • 74 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 74 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £49 (72 days, 97.3%)

Price range: £47 - £49

Price levels: 2 different prices over 74 days

Description

Financial 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

Key Features

New Store Stock

Product Specifications

Brand: O'Reilly
Format: paperback
ASIN: 1492085251
Category: Books > Subjects > Business, Finance & Law > Professional Finance > Corporate
Domain: Amazon UK
Release Date: 31 December 2021
Listed Since: 28 May 2021

Barcode

No barcode data available

O'Reilly Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Multi-Asset Risk Modeling: Techniques for a Global Economy in an Electronic and Algorithmic Trading Era

Financial Risk Forecasting: The Theory and Practice of Forecasting Market Risk with Implementation in R and Matlab (The Wiley Finance Series)

Data Science and Risk Analytics in Finance and Insurance: Financial Models and Statistical Methods (Chapman and Hall/CRC Financial Mathematics Series)

Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices

Quantitative Risk Management Using Python: An Essential Guide for Managing Market, Credit, and Model Risk

Understanding Risk: The Theory and Practice of Financial Risk Management (Chapman and Hall/CRC Financial Mathematics Series)

Quantitative Financial Risk Management: Theory and Practice (Frank J. Fabozzi Series)

Machine Learning in Finance: From Theory to Practice

Risk Management in Trading: Techniques to Drive Profitability of Hedge Funds and Trading Desks (Wiley Finance)

Financial Risk Management: An End User Perspective

Measuring Market Risk (The Wiley Finance Series)

Operational Risk Toward Basel III: Best Practices and Issues in Modeling, Management, and Regulation: 481 (Wiley Finance)

Routledge AI and Big Data for Financial Risk Management Book

Machine Learning for Factor Investing: R Version (Chapman and Hall/CRC Financial Mathematics Series)

Introduction to Credit Risk Modeling (Chapman and Hall/CRC Financial Mathematics Series)

The Analytics of Risk Model Validation (Quantitative Finance)

Financial Risk Management: Models, History, and Institutions: 538 (Wiley Finance)

Hands-On Value-at-Risk and Expected Shortfall: A Practical Primer (Management for Professionals)

Machine Learning and Artificial Intelligence for Credit Risk Analytics: A Practical Guide with Examples Worked in Python and R (The Wiley Finance Series)

RISK MANAGEMENT AND VALUE: VALUATION AND ASSET PRICING: 3 (World Scientific Studies in International Economics)

Financial Services: Efficiency and Risk Management (Studies in Financial Optimization and Risk Management)

Risk and Financial Management: Mathematical and Computational Methods

Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications: 336 (International Series in Operations Research & Management Science, 336)