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Portfolio Construction, Measurement, and Efficiency

John B. Guerard, Jr.
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      This volume, inspired by and dedicated to the work of pioneering investment analyst, Jack Treynor, addresses the issues of portfolio risk and return and how investment portfolios are measured.  In a career spanning over fifty years, the primary questions addressed by Jack Treynor were: Is there an observable risk-return trade-off? How can stock selection models be integrated with risk models to enhance client returns? Do managed portfolios earn positive, and statistically significant, excess returns and can mutual fund managers time the market? Since the publication of a pair of seminal Harvard Business Review articles in the mid-1960’s, Jack Treynor has developed thinking that has greatly influenced security selection, portfolio construction and measurement, and market efficiency.  Key publications addressed such topics as the Capital Asset Pricing Model and stock selection modeling and integration with risk models.  Treynor also served as editor of the Financial Analysts Journal, through which he wrote many columns across a wide spectrum of topics. This volume showcases original essays by leading researchers and practitioners exploring the topics that have interested Treynor while applying the most current methodologies. Such topics include the origins of portfolio theory, market timing, and portfolio construction in equity markets.  The result not only reinforces Treynor’s lasting contributions to the field but suggests new areas for research and analysis.
      Format: Hardback CONTRIBUTORS: John B. Guerard, Jr. EAN: 9783319339740 COUNTRY: Switzerland PAGES: WEIGHT: 8513 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2016-10-04 CITY: GENRE: BUSINESS & ECONOMICS / Corporate Finance / General, BUSINESS & ECONOMICS / Insurance / Risk Assessment & Management, BUSINESS & ECONOMICS / Economics / Macroeconomics, BUSINESS & ECONOMICS / Corporate Governance, MATHEMATICS / Applied WIDTH: 155 cm SPINE:

      Book Themes:

      Risk assessment, Economics, Finance, Business and Management, Macroeconomics, Corporate finance, Management and management techniques, Corporate governance: role and responsibilities of boards and directors, Applied mathematics

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      John B. Guerard, Jr., Ph.D. is Director of Quantitative Research at McKinley Capital Management, in Anchorage, Alaska.  He earned his AB in Economics from Duke University, MA in Economics from the University of Virginia, MSIM from the Georgia Institute of Technology, and Ph.D. in Finance from the University of Texas, Austin. John taught at the McIntire School of Commerce, the University of Virginia, Lehigh University, and Rutgers University. John taught as an adjunct faculty member at the International University of Monaco and the University of Pennsylvania. He worked with the DAIS Group at Drexel, Burnham, Lambert, Daiwa Securities Trust Company, Vantage Global Advisors, and served on the Virtual Research team at GlobeFlex Capital.  John co-managed a Japanese equity portfolio with Harry Markowitz at Daiwa Securities Trust Company. While serving as Director of Quantitative Research at Vantage Global Advisors (formerly MPT Associates), Mr. Guerard was awarded the first Moskowitz Prize for research in socially responsible investing.  Mr. Guerard has published several monographs, including Corporate Financial Policy and R&D Management (Wiley, 2006, second edition), Quantitative Corporate Finance (Springer, 2007, with Eli Schwartz), The Handbook of Portfolio Construction: Contemporary Applications of Markowitz Techniques (Springer, 2010), and Introduction to Financial Forecasting in Investment Analysis (Springer, 2013). John serves an Associate Editor of the Journal of Investing and The International Journal of Forecasting. Mr. Guerard has published research in The International Journal of Forecasting, Management Science, the Journal of Forecasting, Journal of Investing, Research in Finance, the IBM Journal of Research and Development, Research Policy, and the Journal of the Operational Research Society.
      This volume, inspired by and dedicated to the work of pioneering investment analyst, Jack Treynor, addresses the issues of portfolio risk and return and how investment portfolios are measured.  In a career spanning over fifty years, the primary questions addressed by Jack Treynor were: Is there an observable risk-return trade-off? How can stock selection models be integrated with risk models to enhance client returns? Do managed portfolios earn positive, and statistically significant, excess returns and can mutual fund managers time the market? Since the publication of a pair of seminal Harvard Business Review articles in the mid-1960’s, Jack Treynor has developed thinking that has greatly influenced security selection, portfolio construction and measurement, and market efficiency.  Key publications addressed such topics as the Capital Asset Pricing Model and stock selection modeling and integration with risk models.  Treynor also served as editor of the Financial Analysts Journal, through which he wrote many columns across a wide spectrum of topics. This volume showcases original essays by leading researchers and practitioners exploring the topics that have interested Treynor while applying the most current methodologies. Such topics include the origins of portfolio theory, market timing, and portfolio construction in equity markets.  The result not only reinforces Treynor’s lasting contributions to the field but suggests new areas for research and analysis.
      Format: Hardback CONTRIBUTORS: John B. Guerard, Jr. EAN: 9783319339740 COUNTRY: Switzerland PAGES: WEIGHT: 8513 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2016-10-04 CITY: GENRE: BUSINESS & ECONOMICS / Corporate Finance / General, BUSINESS & ECONOMICS / Insurance / Risk Assessment & Management, BUSINESS & ECONOMICS / Economics / Macroeconomics, BUSINESS & ECONOMICS / Corporate Governance, MATHEMATICS / Applied WIDTH: 155 cm SPINE:

      Book Themes:

      Risk assessment, Economics, Finance, Business and Management, Macroeconomics, Corporate finance, Management and management techniques, Corporate governance: role and responsibilities of boards and directors, Applied mathematics

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      Be the first to write a review
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      John B. Guerard, Jr., Ph.D. is Director of Quantitative Research at McKinley Capital Management, in Anchorage, Alaska.  He earned his AB in Economics from Duke University, MA in Economics from the University of Virginia, MSIM from the Georgia Institute of Technology, and Ph.D. in Finance from the University of Texas, Austin. John taught at the McIntire School of Commerce, the University of Virginia, Lehigh University, and Rutgers University. John taught as an adjunct faculty member at the International University of Monaco and the University of Pennsylvania. He worked with the DAIS Group at Drexel, Burnham, Lambert, Daiwa Securities Trust Company, Vantage Global Advisors, and served on the Virtual Research team at GlobeFlex Capital.  John co-managed a Japanese equity portfolio with Harry Markowitz at Daiwa Securities Trust Company. While serving as Director of Quantitative Research at Vantage Global Advisors (formerly MPT Associates), Mr. Guerard was awarded the first Moskowitz Prize for research in socially responsible investing.  Mr. Guerard has published several monographs, including Corporate Financial Policy and R&D Management (Wiley, 2006, second edition), Quantitative Corporate Finance (Springer, 2007, with Eli Schwartz), The Handbook of Portfolio Construction: Contemporary Applications of Markowitz Techniques (Springer, 2010), and Introduction to Financial Forecasting in Investment Analysis (Springer, 2013). John serves an Associate Editor of the Journal of Investing and The International Journal of Forecasting. Mr. Guerard has published research in The International Journal of Forecasting, Management Science, the Journal of Forecasting, Journal of Investing, Research in Finance, the IBM Journal of Research and Development, Research Policy, and the Journal of the Operational Research Society.

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