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  • © 2010

Handbook of Quantitative Finance and Risk Management

  • Most comprehensive resource on the topic of quantitative finance and risk management to date—including theories, models and tools, and practical applications
  • Features a variety of elements, including definitional terms and descriptive entries, thematic essays from authoritative contributors, and empirical methodologies
  • Global in coverage, integrates concepts from the fields of economics, accounting, statistics, mathematics, and computer science
  • Lead editor, C.F. Lee, is one of the most prolific and well-known authors in the field
  • Includes supplementary material: sn.pub/extras

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Table of contents (109 chapters)

  1. Front Matter

    Pages i-xxxviii
  2. Overview of Quantitative Finance and Risk Management Research

    1. Front Matter

      Pages 1-1
    2. Theoretical Framework of Finance

      • Wei-Peng Chen, Huimin Chung, Keng-Yu Ho, Tsui-Ling Hsu
      Pages 3-22
    3. Investment, Dividend, Financing, and Production Policies: Theory and Implications

      • Wei-Peng Chen, Huimin Chung, Keng-Yu Ho, Tsui-Ling Hsu
      Pages 23-40
    4. Research Methods in Quantitative Finance and Risk Management

      • Wei-Peng Chen, Huimin Chung, Keng-Yu Ho, Tsui-Ling Hsu
      Pages 41-50
  3. Portfolio Theory and Investment Analysis

    1. Front Matter

      Pages 52-52
    2. Foundation of Portfolio Theory

      • Cheng-Few Lee, Alice C. Lee, John Lee
      Pages 53-68
    3. Risk-Aversion, Capital Asset Allocation, and Markowitz Portfolio-Selection Model

      • Cheng-Few Lee, Joseph E. Finnerty, Hong-Yi Chen
      Pages 69-92
    4. Capital Asset Pricing Model and Beta Forecasting

      • Cheng-Few Lee, Joseph E. Finnerty, Donald H. Wort
      Pages 93-109
    5. Index Models for Portfolio Selection

      • Cheng-Few Lee, Joseph E. Finnerty, Donald H. Wort
      Pages 111-124
    6. Performance-Measure Approaches for Selecting Optimum Portfolios

      • Cheng-Few Lee, Hong-Yi Chen, Jessica Shin-Ying Mai
      Pages 125-135
    7. The Creation and Control of Speculative Bubbles in a Laboratory Setting

      • James S. Ang, Dean Diavatopoulos, Thomas V. Schwarz
      Pages 137-164
    8. Portfolio Optimization Models and Mean–Variance Spanning Tests

      • Wei-Peng Chen, Huimin Chung, Keng-Yu Ho, Tsui-Ling Hsu
      Pages 165-184
    9. On Estimation Risk and Power Utility Portfolio Selection

      • Robert R. Grauer, Frederick C. Shen
      Pages 203-219
    10. International Portfolio Management: Theory and Method

      • Wan-Jiun Paul Chiou, Cheng-Few Lee
      Pages 221-234
    11. Risk-Averse Portfolio Optimization via Stochastic Dominance Constraints

      • Darinka Dentcheva, Andrzej RuszczyÅ„ski
      Pages 247-258
    12. Portfolio Analysis

      • Jack Clark Francis
      Pages 259-266
    13. Portfolio Theory, CAPM and Performance Measures

      • Luis Ferruz, Fernando Gómez-Bezares, María Vargas
      Pages 267-281

About this book

Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.

Editors and Affiliations

  • Department of Finance and Economics, Rutgers University, New Brunswick, USA

    Cheng-Few Lee

  • Boston, USA

    Alice C. Lee

  • Center for PBBEF Research, North Brunswick, USA

    John Lee

About the editors

Cheng-Few Lee is a Distinguished Professor of Finance at Rutgers Business School, Rutgers University and was chairperson of the Department of Finance from 1988–1995. He has also served on the faculty of the University of Illinois (IBE Professor of Finance) and the University of Georgia. He has maintained academic and consulting ties in Taiwan, Hong Kong, China and the United States for the past three decades. He has been a consultant to many prominent groups including, the American Insurance Group, the World Bank, the United Nations, The Marmon Group Inc., Wintek Corporation and Polaris Financial Group, etc. Professor Lee has been ranked the most published finance professor worldwide during 1953–2008.

Alice C. Lee is currently a Vice President in the Model Validation Group, Enterprise Risk Management, at State Street Corporation. Most recently, she was an Assistant Professor of Finance at San Francisco State University. She has over 20 years of experience and a diverse background, which includes academia, engineering, sales, and management consulting. Her primary areas of teaching and research are corporate finance and financial institutions. She is coauthor of Statistics for Business and Financial Economics, 2e (with Cheng F. Lee and John C. Lee) and Financial Analysis, Planning and Forecasting, 2e (with Cheng F. Lee and John C. Lee). In addition, she has co-edited other annual publications including Advances in Investment Analysis and Portfolio Management (with Cheng F. Lee).

John C. Lee is a Microsoft Certified Professional in Microsoft Visual Basic and Microsoft Excel VBA. He has a Bachelor and Masters degree in accounting from the University of Illinois at Urbana-Champaign. John has worked over 20 years in both the business and technical fields as an accountant, auditor, systems analyst and as a business software developer. He is the author of the book on how to use MINITAB and Microsoft Excel to do statistical analysis which is acompanion text to Statistics of Business and Financial Economics, of which he is one of the co-authors. John has been a Senior Technology Officer at the Chase Manhattan Bank and Assistant Vice President at Merrill Lynch. Currently, he is the Director of the Center for PBBEF Research.

Bibliographic Information

  • Book Title: Handbook of Quantitative Finance and Risk Management

  • Editors: Cheng-Few Lee, Alice C. Lee, John Lee

  • DOI: https://doi.org/10.1007/978-0-387-77117-5

  • Publisher: Springer New York, NY

  • eBook Packages: Business and Economics, Economics and Finance (R0)

  • Copyright Information: Springer-Verlag US 2010

  • Hardcover ISBN: 978-0-387-77116-8Published: 11 June 2010

  • eBook ISBN: 978-0-387-77117-5Published: 14 June 2010

  • Edition Number: 1

  • Number of Pages: CXIV, 1716

  • Topics: Finance, general, Quantitative Finance, Econometrics

Buy it now

Buying options

eBook USD 869.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 1,099.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access