Resources for Education

Tools for Teaching: Textbooks

FINANCE:

  • Introduction to Risk Parity and Budgeting by Thierry Roncalli

    Although portfolio management didn’t change much during the 40 years after the seminal works of Markowitz and Sharpe, the development of risk budgeting techniques marked an important milestone in the deepening of the relationship between risk and asset management. Risk parity then became a popular financial model of investment after the global financial crisis in 2008. Today, pension funds and institutional investors are using this approach in the development of smart indexing and the redefinition of long-term investment policies.

    Written by well-known expert of asset management and risk parity, Dr. Thierry Roncalli, Introduction to Risk Parity and Budgeting provides an up-to-date treatment of this alternative method to Markowitz optimization. It builds financial exposure to equities and commodities, considers credit risk in the management of bond portfolios, and designs long-term investment policy. Read more…

    Dr. Thierry Roncalli is head of Research and Development and a member of the executive committee at Lyxor Asset Management. He is also a professor of economics and finance at the UniversitĂ© d’Evry-Val-d’Essonne. Dr. Roncalli has 17 years of experience in finance and is the author of many articles and several books in quantitative finance. He received a Ph.D. in economics from the University of Bordeaux.

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  • ECONOMETRICS:

    • Econometric Modeling with Time Series: Specification, Estimation and Testing by Vance Martin, Stan Hurn and David Harris

      This book provides a general framework for specifying, estimating, and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalized method of moments estimation, nonparametric estimation, and estimation by simulation. An important advantage of adopting the principle of maximum likelihood as the unifying framework for the book is that many of the estimators and test statistics proposed in econometrics can be derived within a likelihood framework, thereby providing a coherent vehicle for understanding their properties and interrelationships. In contrast to many existing econometric textbooks, which deal mainly with the theoretical properties of estimators and test statistics through a theorem-proof presentation, this book squarely addresses implementation to provide direct conduits between the theory and applied work.

      • The principle of maximum likelihood is adopted as the unifying framework for this comprehensive time series text for econometricians, statisticians and applied mathematicians
      • Uniquely, it demonstrates econometric methods by means of a suite of programs written in GAUSS and MATLAB, and R
      • The text’s computer code enables reproduction of theoretical and empirical results published in recent journal articles
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    • Econometric Foundations Pack with CD-ROM by Ron C. Mittelhammer, George G. Judge, Douglas J. Miller

      Econometric Foundations establishes a new paradigm for teaching econometric problems to talented upper-level undergraduates, graduate students, and professionals. The complete package (text, accompanying CD-ROM, and electronic guide) provides relevance, clarity, and organization to those wishing to acquaint themselves with the principles and procedures for information processing and recovery from samples of economic data. In the real world such data are usually limited or incomplete, and the parameters sought are unobserved and not subject to direct observation or measurement. Econometric Foundations fully provides an operational understanding of a rich set of estimation and inference tools to master such data, including traditional likelihood based and non-traditional non-likelihood based procedures, that can be used in conjunction with the computer to address economic problems. The accompanying CD-ROM contains reviews of probability theory, principles of classical estimation and inference, and handling of ill-posed inverse problems in text-searchable electronic documents, an interactive Matrix Review manual with GAUSS LIGHT software, and an electronic Examples Manual. A separate Guide, which may be accessed through the Internet, further enhances the student’s mastery of the topics by providing solutions guides to the questions and problems in the text.

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