Quantitative Hedge Funds: Discretionary, Systematic, Ai, Esg And Quantamental - Image 1

£84.80

World Scientific Publishing Company Quantitative Hedge Funds: Discretionary, Systematic, Ai, Esg And Quantamental

Name: Quantitative Hedge Funds: Discretionary, Systematic, Ai, Esg And Quantamental
Brand: World Scientific Publishing Company
Price: 84.8 GBP
Availability: InStock

Futures

Price data last checked 81 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

Last 10 days • 10 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 10 days • 1 price levels

Days at Price

Price Analysis

Most common price: £85 (10 days, 100.0%)

Price range: £85 - £85

Price levels: 1 different prices over 10 days

Description

Welcome to the secretive club of modern hedge funds, where important players in the world of investing and capital markets have invested close to $4 trillion globally. If you're intrigued by the inner workings of hedge funds, investment techniques and technologies they use to source investment alpha, this book is for you. Focusing on the author's three decades of trading experience at leading banks and hedge funds, it covers both discretionary and computer-driven strategies and perspectives on AI-based and quantamental investing using new alternative data, which includes numerous examples and insights of real trades and investment strategies. No mathematical knowledge is required, with the relevant algorithms detailed in the appendices. Discretionary investing details equity and credit investing across the corporate capital structure. Through trading equities, bonds and loans, event-driven trades can target profitable special situations and relative value opportunities. Systematic trading involves computer-driven strategies derived from a scientific and statistical analysis of liquid markets. The investment strategies of both commodity trading advisors (CTAs) and long/short equity funds are detailed, from trend-following to factor-based approaches. AI investing is fashionable but does the reality for hedge funds correspond to the AI hype present in other non-financial domains? AI using neural nets and other machine learning techniques are outlined along with their practical application in regards to investing. Quantitative Hedge Funds also discusses environmental, social and governance (ESG) investing, which has rapidly evolved as the public and institutions demand solutions to global problems such as climate change, pollution and unethical labour practices. ESG investment strategies are migrating out of the long-only space and into hedge funds. Finally, the advent of big data has led to multiple alternative datasets available for hedge fund managers. The integration of alternative data into the investment process is discussed, together with the rise of so-called quantamental investing, a hybrid of the best of human skill and computer-based technologies.

Product Specifications

Brand: World Scientific Publishing Company
Format: hardcover
ASIN: 1800612168
Category: Books > Subjects > Business, Finance & Law > Professional Finance > Investments & Securities > Futures
Domain: Amazon UK
Release Date: 07 October 2022
Listed Since: 08 January 2022

Barcode

No barcode data available

World Scientific Publishing Company Quantitative Hedge Funds: Discretionary, Systematic, Ai, Esg And Quantamental

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

Quantitative Algorithm Design for FX Markets: Building High-Frequency Trading Systems With Python (The Artificial Edge: Quantitative Trading Strategies with Python)

Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing

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)

Day Trade With AI: Theoretical foundations for discretionary, algorithmic, and diversified trading with AI

Advanced Portfolio Optimization: A Cutting-edge Quantitative Approach

Your Essential Guide to Quantitative Hedge Fund Investing

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

Asset Management: Tools And Issues

Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

AI HFT Algorithmic Quantum Trading Platform Frameworks: 2025 (Trade Like A Boss)

Measuring ESG Effects in Systematic Investing (The Wiley Finance Series)

Market Making Algorithms: 33 Comprehensive Powerful Algorithms With Full Python Code

Modern Equity Investing Strategies

Financial Markets In Practice: From Post-crisis Intermediation To Fintechs

Quantitative Trading Systems: How to Build Automated Options and Volatility Strategies in Python: A Comprehensive Guide

Equity Derivatives and Hybrids: Markets, Models and Methods (Applied Quantitative Finance)

Your Essential Guide to Quantitative Hedge Fund Investing

A Guide to Starting Your Hedge Fund

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

Algorithmic Trading and Quantitative Strategies (Chapman and Hall/CRC Financial Mathematics)

Nonlinear Investing: A Quantamental Approach

Equity Analytics: Strategies, Models, and Techniques in Computational Finance (Investment Analytics)

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