Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing - Image 1

Price loading...

McGraw-Hill Education Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing

Name: Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing
Brand: McGraw-Hill Education

Managers' Guides to Computing

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Augment your asset allocation strategy with machine learning and factor investing for unprecedented returns and growth Whether you’re managing institutional portfolios or private wealth, Quantitative Asset Management will open your eyes to a new, more successful way of investing―one that harnesses the power of big data and artificial intelligence. This innovative guide walks you through everything you need to know to fully leverage these revolutionary tools. Written from the perspective of a seasoned financial investor making use of technology, it details proven investing methods, striking a rare balance between providing important technical information without burdening you with overly complex investing theory. Quantitative Asset Management is organized into four thematic sections: Part I reveals invaluable lessons for planning and governance of investment decision-making. Part 2 discusses quantitative financial modeling, covering important topics like overfitting, mitigating unrealistic assumptions, managing substitutions, enhancing minority classes, and missing data imputation. Part 3 shows how to develop a strategy into an investment product, including the alpha models, risk models, implementation, backtesting, and cost optimization. Part 4 explains how to measure performance, learn from mistakes, manage risk, and survive financial tragedies. With Quantitative Asset Management, you have everything you need to build your awareness of other markets, ask the right questions and answer them effectively, and drive steady profits even through times of great uncertainty.

Product Specifications

Brand: McGraw-Hill Education
Format: hardcover
ASIN: 1264258445
Category: Books > Subjects > Business, Finance & Law > E-Commerce > Managers' Guides to Computing
Domain: Amazon UK
Release Date: 26 May 2023
Listed Since: 08 December 2022

Barcode

No barcode data available

McGraw-Hill Education Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Quantitative Investment Analysis: 124 (CFA Institute Investment Series)

Machine Learning for Asset Managers (Elements in Quantitative Finance)

Quantitative Analytics in Debt Valuation & Management (PROFESSIONAL FINANCE & INVESTM)

Quantitative Hedge Funds: Discretionary, Systematic, Ai, Esg And Quantamental

Quantitative Equity Portfolio Management, Second Edition: An Active Approach to Portfolio Construction and Management

Quantitative Portfolio Optimisation, Asset Allocation and Risk Management: A Practical Guide to Implementing Quantitative Investment Theory (Finance and Capital Markets Series)

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

Navigating the Factor Zoo: The Science of Quantitative Investing

Quantitative Portfolio Optimization: Advanced Techniques and Applications (Wiley Finance)

Quantitative Fund Management (Chapman & Hall/CRC Financial Mathematics)

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

Quantitative Hedge Funds: Discretionary, Systematic, Ai, Esg And Quantamental

Advanced Portfolio Optimization: A Cutting-edge Quantitative Approach

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

Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering (Chapman and Hall/CRC Financial Mathematics Series)

Portfolio Selection and Asset Pricing: Models of Financial Economics and Their Applications in Investing

The Complete Guide to Capital Markets for Quantitative Professionals (McGraw-Hill Library of Investment and Finance)

Advances in Active Portfolio Management: New Developments in Quantitative Investing (BUSINESS BOOKS)

Asset Management: Tools And Issues

The Elements of Quantitative Investing (Wiley Finance)

Quantitative Investing: From Theory to Industry

Ultimate Quant Job Interview Questions Workbook: Brief Crash Courses and Real Interview Questions taking you from Beginner to Wall Street Offers (The ... Quantitative Trading Strategies with Python)

Quantitative Equity Investing: Techniques and Strategies (Frank J. Fabozzi Series)

Quantitative Finance: An Introduction to Investments, Asset Pricing, and Derivatives