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Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw-Hill Library of Investment and Finance)
 
 
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Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw-Hill Library of Investment and Finance) [Hardcover]

Ludwig B Chincarini (Author), Daehwan Kim (Author)
4.0 out of 5 stars  See all reviews (15 customer reviews)

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Book Description

McGraw-Hill Library of Investment and Finance July 27, 2006

Praise for Quantitative Equity Portfolio Management

“A must-have reference for any equity portfolio manager or MBA student, this book is a comprehensive guide to all aspects of equity portfolio management, from factor models to tax management.” ERIC ROSENFELD, Principal & Co-founder of JWM Partners

“This is an ambitious book that both develops the broad range of artillery employed in quantitative equity investment management and provides the reader with a host of relevant practical examples. The book excels in melding theory with practice.” STEPHEN A. ROSS, Franco Modigliani Professor of Financial Economics, Massachusetts Institute of Technology

“The book is very comprehensive in its coverage, detailed in its discussions and written from a practical perspective without sacrificing needed rigor.” DAVID BLITZER, Managing Director and Chairman, Standard & Poor's Index Committee

“Making the transition from the walls of academia to Wall Street has traditionally been a difficult task…This book provides this link in a successful and engaging fashion, giving students of finance a road map for the application of financial theories in a real-world setting.” MARK HOLOWESKO, CEO and Founder, Templeton Capital Advisors

“This text provides an excellent synthesis of a broad range of quantitative portfolio management methods…In addition, there are a number of insightful innovations that extend and improve current techniques.” DAN DIBARTOLOMEO, President and Founder, Northfield Information Services, Inc.

Capitalize on Today's Most Powerful Quantitative Methods to Construct and Manage a High-Performance Equity Portfolio

Quantitative Equity Portfolio Management is a comprehensive guide to the entire process of constructing and managing a high-yield quantitative equity portfolio. This detailed handbook begins with the basic principles of quantitative active management and then clearly outlines how to build an equity portfolio using those powerful concepts.

Financial experts Ludwig Chincarini and Daehwan Kim provide clear explanations of topics ranging from basic models, factors and factor choice, and stock screening and ranking…to fundamental factor models, economic factor models, and forecasting factor premiums and exposures.

Readers will also find step-by-step coverage of portfolio weights… rebalancing and transaction costs…tax management…leverage…market neutral…Bayesian _…performance measurement and attribution…the back testing process…and portfolio performance.

Filled with proven investment strategies and tools for developing new ones, Quantitative Equity Portfolio Management features:

  • A complete, easy-to-apply methodology for creating an equity portfolio that maximizes returns and minimizes risks
  • The latest techniques for building optimization into a professionally managed portfolio
  • An accompanying CD with a wide range of practical exercises and solutions using actual historical stock data
  • An excellent melding of financial theory with real-world practice
  • A wealth of down-to-earth financial examples and case studies

    Each chapter of this all-in-one portfolio management resource contains an appendix with valuable figures, tables, equations, mathematical solutions, and formulas. In addition, the book as a whole has appendices covering a brief history of financial theory, fundamental models of stock returns, a basic review of mathematical and statistical concepts, an entertaining explanation and quantitative approach to the casino game of craps, and other on-target supplemental materials.

    An essential reference for professional money managers and students taking advanced investment courses, Quantitative Equity Portfolio Management offers a full array of methods for effectively developing high-performance equity portfolios that deliver lucrative returns for clients.

    About the Authors

    Ludwig B. Chincarini, Ph.D., CFA, is a professor of finance at Georgetown University as well as a financial consultant to institutional investors. Previously, he was director of research at Rydex Global Advisors, the index mutual fund company. Prior to that, Dr. Chincarini was director of research at FOLIOfn, a brokerage firm that pioneered basket trading. He also worked at the Bank for International Settlements and holds a Ph.D. in economics from the Massachusetts Institute of Technology.

    Daehwan Kim, Ph.D., is a professor of economics at the American University in Bulgaria. Previously, he was employed as a financial economist for FOLIOfn. Dr. Kim also worked as a financial journalist, writing regular columns on financial markets for business media in Asia. He also holds a Ph.D. in economics from Harvard University.


  • Frequently Bought Together

    Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw-Hill Library of Investment and Finance) + Quantitative Equity Portfolio Management: Modern Techniques and Applications (Chapman & Hall/CRC Financial Mathematics Series) + Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Controlling Risk
    Price For All Three: $168.84

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    Buy the selected items together


    Editorial Reviews

    From the Back Cover

    [Back Cover Copy]

    Finance and Investing

    Capitalize on Today's Most Powerful Quantitative Methods to Construct and Manage a High-Performance Equity Portfolio!

    Praise for Quantitative Equity Portfolio Management

    “A must-have reference for any equity portfolio manager or MBA student, this book is a comprehensive guide to all aspects of equity portfolio management, from factor models to tax management.” ERIC ROSENFELD, Principal & Co-founder of JWM Partners

    “This is an ambitious book that both develops the broad range of artillery employed in quantitative equity investment management and provides the reader with a host of relevant practical examples. The book excels in melding theory with practice.” _STEPHEN A. ROSS, Franco Modigliani Professor of Financial Economics, Massachusetts Institute of Technology

    “The book is very comprehensive in its coverage, detailed in its discussions and written from a practical perspective without sacrificing needed rigor.” _DAVID BLITZER, Managing Director and Chairman, Standard & Poor's Index Committee

    “Making the transition from the walls of academia to Wall Street has traditionally been a difficult task…This book provides this link in a successful and engaging fashion, giving students of finance a road map for the application of financial theories in a real-world setting.” _MARK HOLOWESKO, CEO and Founder, Templeton Capital Advisors

    “This text provides an excellent synthesis of a broad range of quantitative portfolio management methods…In addition, there are a number of insightful innovations that extend and improve current techniques.” _DAN DIBARTOLOMEO, President and Founder, Northfield Information Services, Inc.

    [Flap Copy

    Quantitative Equity Portfolio Management is a comprehensive guide to the entire process of constructing and managing a high-yield quantitative equity portfolio. This detailed handbook begins with the basic principles of quantitative active management and then clearly outlines how to build an equity portfolio using those powerful concepts.

    Financial experts Ludwig Chincarini and Daehwan Kim provide clear explanations of topics ranging from basic models, factors and factor choice, and stock screening and ranking…to fundamental factor models, economic factor models, and forecasting factor premiums and exposures.

    Readers will also find step-by-step coverage of portfolio weights… rebalancing and transaction costs…tax management…leverage…market neutral…Bayesian _…performance measurement and attribution…the back testing process…and portfolio performance.

    Filled with proven investment strategies and tools for developing new ones, Quantitative Equity Portfolio Management features:

  • A complete, easy-to-apply methodology for creating an equity portfolio that maximizes returns and minimizes risks
  • The latest techniques for building optimization into a professionally managed portfolio
  • An accompanying CD with a wide range of practical exercises and solutions using actual historical stock data
  • An excellent melding of financial theory with real-world practice
  • A wealth of down-to-earth financial examples and case studies

    Each chapter of this all-in-one portfolio management resource contains an appendix with valuable figures, tables, equations, mathematical solutions, and formulas. In addition, the book as a whole has appendices covering a brief history of financial theory, fundamental models of stock returns, a basic review of mathematical and statistical concepts, an entertaining explanation and quantitative approach to the casino game of craps, and other on-target supplemental materials.

    An essential reference for professional money managers and students taking advanced investment courses, Quantitative Equity Portfolio Management offers a full array of methods for effectively developing high-performance equity portfolios that deliver lucrative returns for clients.

    About the Authors

    Ludwig B. Chincarini, Ph.D., CFA, is a professor of finance at Georgetown University as well as a financial consultant to institutional investors. Previously, he was director of research at Rydex Global Advisors, the index mutual fund company. Prior to that, Dr. Chincarini was director of research at FOLIOfn, a brokerage firm that pioneered basket trading. He also worked at the Bank for International Settlements and holds a Ph.D. in economics from the Massachusetts Institute of Technology.

    Daehwan Kim, Ph.D., is a professor of economics at the American University in Bulgaria. Previously, he was employed as a financial economist for FOLIOfn. Dr. Kim also worked as a financial journalist, writing regular columns on financial markets for business media in Asia. He also holds a Ph.D. in economics from Harvard University.

  • About the Author

    Ludwig B. Chincarini, CFA, is a finance professor at Georgetown University.

    Daehwan Kim, Ph.D., is a finance professor at American University.


    Product Details

    • Hardcover: 658 pages
    • Publisher: McGraw-Hill; 1 edition (July 27, 2006)
    • Language: English
    • ISBN-10: 0071459391
    • ISBN-13: 978-0071459396
    • Product Dimensions: 9 x 6.1 x 1.6 inches
    • Shipping Weight: 2.5 pounds (View shipping rates and policies)
    • Average Customer Review: 4.0 out of 5 stars  See all reviews (15 customer reviews)
    • Amazon Best Sellers Rank: #141,068 in Books (See Top 100 in Books)

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    Customer Reviews

    15 Reviews
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    Average Customer Review
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    Most Helpful Customer Reviews

    18 of 20 people found the following review helpful:
    4.0 out of 5 stars A practical entry-level quant equity portfolio management book, November 30, 2006
    By 
    Yin Luo (New York, US) - See all my reviews
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    This review is from: Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw-Hill Library of Investment and Finance) (Hardcover)
    This is a very practical entry-level quant equity portfolio management book (more practical and easier than Grinold & Kahn's book). It's a good place to start if you are interested in building quant models to manage equity portfolios. The book started from the beginning (e.g., how to pick factors), to how to build models to forecast returns, risk, and how to run optimization. This book didn't get into enough details about econometrics, database management, optimization, and programming, which are all essential to build a robust quant model. The authors mentioned pooled time-series cross-sectional econometric models, but didn't go beyond the surface. Overall, it's a good introduction book, but could be better.
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    12 of 13 people found the following review helpful:
    4.0 out of 5 stars *The* book on factor models, August 22, 2007
    This review is from: Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw-Hill Library of Investment and Finance) (Hardcover)
    Should you buy this book if you already have Grinold and Kahn? Yes, if you are interested in factor models of equity returns: about 200 pages of CK are devoted to them, compared to a few in GK. If you are not, I would still recommend the purchase, but expect CK's stay on your bookshelf to be brief - enough time to read through, and spot things not found in GK, such as discussion of leverage and tax management. Finally, if you do not have Grinold and Kahn, read this book as as a warm-up, but do graduate to the GK tome. Alas, this, too, is a book for MBAs: it does not reflect state-of-the-art, and shies away from math or statistics.
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    14 of 16 people found the following review helpful:
    5.0 out of 5 stars A very readable primer on quantiative equity portfolio management, September 7, 2006
    This review is from: Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management (McGraw-Hill Library of Investment and Finance) (Hardcover)
    In my opinion, this book should be on the bookshelf of every quantitative equity portfolio manager right next to his Grinold & Kahn. In addition to the basics, it covers a lot of the more practical aspects of quantitative euqity portfolio management compared to the Grinold & Kahn, but is not lacking any academic rigour. It is very readable and accessible for anyone with a professional finance background or interest.
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    Inside This Book (learn more)
    Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
    fundamental factor model, economic factor model, quantitative portfolio managers, nondata information, minus industry average, optimal tracking portfolio, ancing date, factor premium, multifactor attribution, tax management techniques, suppose that the portfolio manager, solvency factors, dollar neutrality, operating efficiency factors, qualitative managers, minimum monthly return, net dollar exposure, baseline portfolio, revision exposure, using index futures, statistical arbitrage opportunities, consumer staples sector, quantitative managers, total stock return, how many futures contracts
    Key Phrases - Capitalized Phrases (CAPs): (learn more)
    Wall Street, Exxon Mobil, Federal Reserve, Screen Name Background Description, United States, General Electric, New York Stock Exchange, Peter Lynch, Dow Jones Industrial Average, American International Group, Barra Value, Altria Group, American Stock Exchange, Benchmark Average, Berkshire Hathaway, Cisco Systems, University of Chicago, Warren Buffett, Bureau of Labor Statistics, Busch Cos, Dollar Amount Share Price Shares, Freddie Mac, Intel Corp, John Neff, University of Michigan
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