Price loading...

Quantitative Investing: From Theory to Industry

Econometrics

Price data last checked 102 day(s) ago - refreshing...

View at Amazon

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

This book provides readers with a systematic approach to quantitative investments and bridges the gap between theory and practice, equipping students to more seamlessly enter the world of industry. A successful quantitative investment strategy requires an individual to possess a deep understanding of the financial markets, investment theories and econometric modelings, as well as the ability to program and analyze real-world data sets. In order to connect finance theories and practical industry experience, each chapter begins with a real-world finance case study. The rest of the chapter introduces fundamental insights and theories, and teaches readers to use statistical models and R programming to analyze real-world data, therefore grounding the learning process in application. Additionally, each chapter profiles significant figures in investment and quantitative studies, so that readers can more fully understand the history of the discipline. This volume willbe particularly useful to advanced students and practitioners in finance and investments.

Product Specifications

Format: paperback
ASIN: 3030472043
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 09 September 2021
Listed Since: 12 August 2021

Barcode

No barcode data available

Quantitative Investing: From Theory to Industry

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Quantitative Investing: From Theory to Industry

Nonlinear Investing: A Quantamental Approach

A Quantitative Primer on Investments with R - Q36 LLC Book

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

Advanced Portfolio Optimization: A Cutting-edge Quantitative Approach

Quantitative Financial Analytics: The Path To Investment Profits

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

Quantitative Portfolio Management: with Applications in Python (Springer Texts in Business and Economics)

Quantitative Portfolio Management: with Applications in Python (Springer Texts in Business and Economics)

Practical Quantitative Finance with Python: A Comprehensive Guide to Quantitative Analysis and Trading Strategy Development

Quantitative Financial Analytics: The Path To Investment Profits

Navigating the Factor Zoo: The Science of Quantitative 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)

Handbook of Quantitative Finance and Risk Management

Implementing Models in Quantitative Finance: Methods and Cases (Springer Finance)

Quantitative Methods: for Business, Management and Finance

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

Quantitative Investing for the Global Markets: Strategies, Tactics and Advanced Analytical Techniques

Analyzing Financial Data and Implementing Financial Models Using R (Springer Texts in Business and Economics)

Your Essential Guide to Quantitative Hedge Fund Investing

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

Machine Learning in Finance: From Theory to Practice

Machine Learning in Finance: From Theory to Practice

Quantitative Investment Analysis: 124 (CFA Institute Investment Series)