Quantitative Equity Portfolio Management

Quantitative Equity Portfolio Management
Author: Edward E. Qian
Publisher: CRC Press
Total Pages: 462
Release: 2007-05-11
Genre: Business & Economics
ISBN: 1420010794

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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

Portfolio Diversification

Portfolio Diversification
Author: Francois-Serge Lhabitant
Publisher: Elsevier
Total Pages: 276
Release: 2017-09-26
Genre: Mathematics
ISBN: 0081017863

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Portfolio Diversification provides an update on the practice of combining several risky investments in a portfolio with the goal of reducing the portfolio's overall risk. In this book, readers will find a comprehensive introduction and analysis of various dimensions of portfolio diversification (assets, maturities, industries, countries, etc.), along with time diversification strategies (long term vs. short term diversification) and diversification using other risk measures than variance. Several tools to quantify and implement optimal diversification are discussed and illustrated. Focuses on portfolio diversification across all its dimensions Includes recent empirical material that was created and developed specifically for this book Provides several tools to quantify and implement optimal diversification

The Oxford Handbook of the Five Factor Model

The Oxford Handbook of the Five Factor Model
Author: Thomas A. Widiger
Publisher: Oxford University Press
Total Pages: 609
Release: 2017-03-27
Genre: Psychology
ISBN: 0190679530

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The Five Factor Model, which measures individual differences on extraversion, agreeableness, conscientiousness, emotional stability, and openness to experience, is arguably the most prominent dimensional model of general personality structure. In fact, there is now a considerable body of research supporting its construct validity and practical application in clinical, health, and organizational settings. Taking this research to the forefront, The Oxford Handbook of the Five Factor Model showcases the work of expert researchers in the field as they each offer important insight and perspective on all that is known about the Five Factor Model to date. By establishing the origins, foundation, and predominance of the Five Factor Model, this Handbook will focus on such areas as construct validity, diagnosis and assessment, personality neuroscience, and how the Five Factor Model operates in business and industry, animal personality, childhood temperament, and clinical utility.

Confirmatory Factor Analysis for Applied Research, Second Edition

Confirmatory Factor Analysis for Applied Research, Second Edition
Author: Timothy A. Brown
Publisher: Guilford Publications
Total Pages: 482
Release: 2015-01-07
Genre: Science
ISBN: 146251779X

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This accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA) for its emphasis on practical and conceptual aspects rather than mathematics or formulas. Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities ...

Latent Variable Models and Factor Analysis

Latent Variable Models and Factor Analysis
Author: David J. Bartholomew
Publisher: Wiley
Total Pages: 214
Release: 1999-08-10
Genre: Mathematics
ISBN: 9780340692431

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Hitherto latent variable modelling has hovered on the fringes of the statistical mainstream but if the purpose of statistics is to deal with real problems, there is every reason for it to move closer to centre stage. In the social sciences especially, latent variables are common and if they are to be handled in a truly scientific manner, statistical theory must be developed to include them. This book aims to show how that should be done. This second edition is a complete re-working of the book of the same name which appeared in the Griffin’s Statistical Monographs in 1987. Since then there has been a surge of interest in latent variable methods which has necessitated a radical revision of the material but the prime object of the book remains the same. It provides a unified and coherent treatment of the field from a statistical perspective. This is achieved by setting up a sufficiently general framework to enable the derivation of the commonly used models. The subsequent analysis is then done wholly within the realm of probability calculus and the theory of statistical inference. Numerical examples are provided as well as the software to carry them out ( where this is not otherwise available). Additional data sets are provided in some cases so that the reader can aquire a wider experience of analysis and interpretation.

A First Course in Factor Analysis

A First Course in Factor Analysis
Author: Andrew L. Comrey
Publisher: Psychology Press
Total Pages: 443
Release: 2013-11-12
Genre: Psychology
ISBN: 1317844076

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The goal of this book is to foster a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers. Both the underlying theory and correct application are emphasized. The theory is presented through the mathematical basis of the most common factor analytic models and several methods used in factor analysis. On the application side, considerable attention is given to the extraction problem, the rotation problem, and the interpretation of factor analytic results. Hence, readers are given a background of understanding in the the theory underlying factor analysis and then taken through the steps in executing a proper analysis -- from the initial problem of design through choice of correlation coefficient, factor extraction, factor rotation, factor interpretation, and writing up results. This revised edition includes introductions to newer methods -- such as confirmatory factor analysis and structural equation modeling -- that have revolutionized factor analysis in recent years. To help remove some of the mystery underlying these newer, more complex methods, the introductory examples utilize EQS and LISREL. Updated material relating to the validation of the Comrey Personality Scales also has been added. Finally, program disks for running factor analyses on either an IBM-compatible PC or a mainframe with FORTRAN capabilities are available. The intended audience for this volume includes talented but mathematically unsophisticated advanced undergraduates, graduate students, and research workers seeking to acquire a basic understanding of the principles supporting factor analysis. Disks are available in 5.25" and 3.5" formats for both mainframe programs written in Fortran and IBM PCs and compatibles running a math co-processor.

Factor Analysis

Factor Analysis
Author: Richard L. Gorsuch
Publisher: Routledge
Total Pages: 465
Release: 2014-11-27
Genre: Psychology
ISBN: 1317564898

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Comprehensive and comprehensible, this classic text covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and applying its use. This includes the theory as well as the empirical evaluations. The overall goal is to show readers how to use factor analysis in their substantive research by highlighting when the differences in mathematical procedures have a major impact on the substantive conclusions, when the differences are not relevant, and when factor analysis might not be the best procedure to use. Although the original version was written years ago, the book maintains its relevance today by providing readers with a thorough understanding of the basic mathematical models so they can easily apply these models to their own research. Readers are presented with a very complete picture of the "inner workings" of these methods. The new Introduction highlights the remarkably few changes that the author would make if he were writing the book today. An ideal text for courses on factor analysis or as a supplement for multivariate analysis, structural equation modeling, or advanced quantitative techniques taught in psychology, education, and other social and behavioral sciences, researchers who use these techniques also appreciate this book’s thorough review of the basic models. Prerequisites include a graduate level course on statistics and a basic understanding of algebra. Sections with an asterisk can be skipped entirely if preferred.

Large Dimensional Factor Analysis

Large Dimensional Factor Analysis
Author: Jushan Bai
Publisher: Now Publishers Inc
Total Pages: 90
Release: 2008
Genre: Business & Economics
ISBN: 1601981449

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Large Dimensional Factor Analysis provides a survey of the main theoretical results for large dimensional factor models, emphasizing results that have implications for empirical work. The authors focus on the development of the static factor models and on the use of estimated factors in subsequent estimation and inference. Large Dimensional Factor Analysis discusses how to determine the number of factors, how to conduct inference when estimated factors are used in regressions, how to assess the adequacy pf observed variables as proxies for latent factors, how to exploit the estimated factors to test unit root tests and common trends, and how to estimate panel cointegration models.

Introduction to Factor Analysis

Introduction to Factor Analysis
Author: Jae-On Kim
Publisher: SAGE
Total Pages: 84
Release: 1978-11
Genre: Mathematics
ISBN: 9780803911659

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Describes the mathematical and logical foundations at a level that does not presume advanced mathematical or statistical skills. It illustrates how to do factor analysis with several of the more popular packaged computer programs.