Quantitative Investment Analysis

by Richard A. DeFusco, Dennis W. McLeavey, Jerald E. Pinto

Your complete guide to quantitative analysis in the investment industry Quantitative Investment Analysis, Third Edition is a newly revised and updated text that presents you with a blend of theory and practice materials to guide you through the use of statistics within the context of finance and investment. With equal focus on theoretical concepts and their practical applications, this approachable resource offers features, such as learning outcome statements, that are targeted at helping you understand, retain, and apply the information you have learned. Throughout the text's chapters, you explore a wide range of topics, such as the time value of money, discounted cash flow applications, common probability distributions, sampling and estimation, hypothesis testing, and correlation and regression. Applying quantitative analysis to the investment process is an important task for investment pros and students. A reference that provides even subject matter treatment, consistent mathematical notation, and continuity in topic coverage will make the learning process easier―and will bolster your success. Quantitative Investment Analysis, Third Edition is a fundamental resource that covers the wide range of quantitative methods you need to know in order to apply quantitative analysis to the investment process.

Genres: Finance, Nonfiction, Business

640 pages, Hardcover

First published January 22, 2007

Reviews

[Nick Doinikov · Rating 4 out of 5]

A very useful book for all CFA candidates who are starting to prepare for the exam. A lot of essential information is described in a very simple and logical way. A must-read!

Drawbacks: Some chapters are too bulky and can be shortened in order not to waste time.

[Ryan · Rating 4 out of 5]

This book consolidates the quantitative methods material from the CFA level 1 and level 2 curriculum. It's very straight forward and practical; it's a must-have for any analyst wanting a resource for quick references of statistical methods.

[Kes · Rating 4 out of 5]

Rather detailed and readable book. I liked the way the examples illustrated the concepts.

[Declan Buswell]

Chapter 5 and 18

[Mostafa-hashem]

amazing