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Quantitative Equity Portfolio Management

2010-08-18 Business & Economics
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Release : 2010-08-18
Genre : Business & Economics
Kind : eBook
Book Rating : 386/5 ( reviews)

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Book Synopsis Quantitative Equity Portfolio Management by : Ludwig B Chincarini

Download or read book Quantitative Equity Portfolio Management written by Ludwig B Chincarini. This book was released on 2010-08-18. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Equity Portfolio Management brings the orderly structure of fundamental asset management to the often-chaotic world of active equity management. Straightforward and accessible, it provides you with nuts-and-bolts details for selecting and aggregating factors, building a risk model, and much more.

Quantitative Equity Portfolio Management

2007-05-11 Business & Economics
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Release : 2007-05-11
Genre : Business & Economics
Kind : eBook
Book Rating : 794/5 ( reviews)

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Book Synopsis Quantitative Equity Portfolio Management by : Edward E. Qian

Download or read book Quantitative Equity Portfolio Management written by Edward E. Qian. This book was released on 2007-05-11. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative equity portfolio management combines theories and advanced techniques from several disciplines, including financial economics, accounting, mathematics, and operational research. While many texts are devoted to these disciplines, few deal with quantitative equity investing in a systematic and mathematical framework that is suitable for

Quantitative Portfolio Management

2021-09-10 Business & Economics
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Release : 2021-09-10
Genre : Business & Economics
Kind : eBook
Book Rating : 215/5 ( reviews)

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Book Synopsis Quantitative Portfolio Management by : Michael Isichenko

Download or read book Quantitative Portfolio Management written by Michael Isichenko. This book was released on 2021-09-10. Available in PDF, EPUB and Kindle. Book excerpt: Discover foundational and advanced techniques in quantitative equity trading from a veteran insider In Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage, distinguished physicist-turned-quant Dr. Michael Isichenko delivers a systematic review of the quantitative trading of equities, or statistical arbitrage. The book teaches you how to source financial data, learn patterns of asset returns from historical data, generate and combine multiple forecasts, manage risk, build a stock portfolio optimized for risk and trading costs, and execute trades. In this important book, you’ll discover: Machine learning methods of forecasting stock returns in efficient financial markets How to combine multiple forecasts into a single model by using secondary machine learning, dimensionality reduction, and other methods Ways of avoiding the pitfalls of overfitting and the curse of dimensionality, including topics of active research such as “benign overfitting” in machine learning The theoretical and practical aspects of portfolio construction, including multi-factor risk models, multi-period trading costs, and optimal leverage Perfect for investment professionals, like quantitative traders and portfolio managers, Quantitative Portfolio Management will also earn a place in the libraries of data scientists and students in a variety of statistical and quantitative disciplines. It is an indispensable guide for anyone who hopes to improve their understanding of how to apply data science, machine learning, and optimization to the stock market.

Quantitative Equity Investing

2010-03-01 Business & Economics
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Release : 2010-03-01
Genre : Business & Economics
Kind : eBook
Book Rating : 478/5 ( reviews)

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Book Synopsis Quantitative Equity Investing by : Frank J. Fabozzi

Download or read book Quantitative Equity Investing written by Frank J. Fabozzi. This book was released on 2010-03-01. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive look at the tools and techniques used in quantitative equity management Some books attempt to extend portfolio theory, but the real issue today relates to the practical implementation of the theory introduced by Harry Markowitz and others who followed. The purpose of this book is to close the implementation gap by presenting state-of-the art quantitative techniques and strategies for managing equity portfolios. Throughout these pages, Frank Fabozzi, Sergio Focardi, and Petter Kolm address the essential elements of this discipline, including financial model building, financial engineering, static and dynamic factor models, asset allocation, portfolio models, transaction costs, trading strategies, and much more. They also provide ample illustrations and thorough discussions of implementation issues facing those in the investment management business and include the necessary background material in probability, statistics, and econometrics to make the book self-contained. Written by a solid author team who has extensive financial experience in this area Presents state-of-the art quantitative strategies for managing equity portfolios Focuses on the implementation of quantitative equity asset management Outlines effective analysis, optimization methods, and risk models In today's financial environment, you have to have the skills to analyze, optimize and manage the risk of your quantitative equity investments. This guide offers you the best information available to achieve this goal.

Quantitative Portfolio Management

2020-03-28 Mathematics
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Release : 2020-03-28
Genre : Mathematics
Kind : eBook
Book Rating : 407/5 ( reviews)

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Book Synopsis Quantitative Portfolio Management by : Pierre Brugière

Download or read book Quantitative Portfolio Management written by Pierre Brugière. This book was released on 2020-03-28. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained book presents the main techniques of quantitative portfolio management and associated statistical methods in a very didactic and structured way, in a minimum number of pages. The concepts of investment portfolios, self-financing portfolios and absence of arbitrage opportunities are extensively used and enable the translation of all the mathematical concepts in an easily interpretable way. All the results, tested with Python programs, are demonstrated rigorously, often using geometric approaches for optimization problems and intrinsic approaches for statistical methods, leading to unusually short and elegant proofs. The statistical methods concern both parametric and non-parametric estimators and, to estimate the factors of a model, principal component analysis is explained. The presented Python code and web scraping techniques also make it possible to test the presented concepts on market data. This book will be useful for teaching Masters students and for professionals in asset management, and will be of interest to academics who want to explore a field in which they are not specialists. The ideal pre-requisites consist of undergraduate probability and statistics and a familiarity with linear algebra and matrix manipulation. Those who want to run the code will have to install Python on their pc, or alternatively can use Google Colab on the cloud. Professionals will need to have a quantitative background, being either portfolio managers or risk managers, or potentially quants wanting to double check their understanding of the subject.

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