FRANCIS X. DIEBOLD

Francis X. Diebold

Joseph M. Cohen Professor of Economics
School of Arts and Sciences, University of Pennsylvania

Professor of Finance and Statistics
Co-Director, Financial Institutions Center
Wharton School, University of Pennsylvania

 

Department of Economics
University of Pennsylvania
3718 Locust Walk
Philadelphia, PA 19104-6297
U.S.A.

(215) 898-1507 (telephone)
(215) 573-4217 (fax)
fdiebold@sas.upenn.edu

 

c.v.
Biography
Research institutes with which I am affiliated
Associations and foundations with which I am affiliated
Presentations, lectures, etc.
Teaching
Penn Econometrics Seminar
Penn Econometrics Lunch
Seminars of interest in the Philadelphia area
Slides
Office hours

LATEST ARUOBA-DIEBOLD-SCOTTI U.S. REAL ACTIVITY INDEX
(For background see Aruoba, Diebold and Scotti, 2008.)

LATEST DIEBOLD-YILMAZ GLOBAL EQUITY MARKET SPILLOVER INDEX
(For background see Diebold and Yilmaz, 2008, Economic Journal, in press.)

 

BOOKS

Volatility: Practical Methods for Financial Applications.
Princeton: Princeton University Press.
In progress with T. Andersen, T. Bollerslev and
P. Christoffersen.

The Known, the Unknown and the Unknowable in
Financial Risk Management.
Princeton: Princeton University Press.
In progress with N. Doherty and R. Herring.

Statistics for Business, Economics, and Finance.
New York: W.W. Norton & Co.
In progress with Norman Swanson.

Elements of Forecasting (Fourth Edition).
Cincinnati: South-Western College Publishing, 2007.

Risk Management for Central Bank Foreign Reserves.
Frankfurt: European Central Bank, 2004.
With C. Bernadel, P. Cardon, J. Coche and S. Manganelli.

Business Cycles:  Durations, Dynamics and Forecasting.
Princeton University Press, 1999.
With G.D. Rudebusch.

Empirical Modeling of Exchange Rate Dynamics.
New York and Berlin: Springer-Verlag, 1988.

 

 

 

Elements of Forecasting (Third Edition)

 

Business Cycles: Durations, Dynamics and Forecasting

 

 


 

 

 

 

Risk Management for Central Bank Foreign Reserves

 

 

 

 

 

SELECTED ARTICLES (CHRONOLOGICALLY LISTED)

SELECTED ARTICLES (THEMATICALLY GROUPED)

Asset Return Volatility and Correlation Measurement, Modeling and Forecasting
Realized volatility computed from high-frequency data; range-based volatility; GARCH-based volatility; measuring volatility spillovers; volatility and macroeconomic fundamentals; applications to portfolio allocation, risk management and asset pricing.

Yield Curve Measurement, Modeling and Forecasting
Reinterpreting Nelson-Siegel as a modern three-factor model of level, slope and curvature; superior forecasting performance; links of factors to macroeconomic fundamentals (inflation, capacity utilization); hedging bond portfolio risk using generalized duration; globalizing the model; making the model arbitrage-free.

General Financial Market Measurement, Modeling and Forecasting
Stock returns and expected business conditions; market timing and direction-of-change forecasting; density forecasting and forecast evaluation; forecasting under asymmetric loss functions; specifying forecasting models and measuring forecastability; forecast evaluation in cointegrated systems.

Macroeconomic and Business Cycle Measurement, Modeling and Forecasting
Global stock market volatility and macroeconomic fundamentals; real-time measurement of business conditions; stock returns and expected business conditions; dynamic factor models; regime switching; business cycle effects in credit risk modeling; yield curve modeling with macro interactions; real-time news effects in financial markets; how to calibrate if you must.

Miscellaneous: Forecasting, Risk Measurement, Risk Management
Several surveys of aspects of volatility modeling and forecasting; weather derivatives; VaR horizons; liquidity risk; extreme values; forecast accuracy comparison; regime switching.

LIGHTER FARE

"The Known, the Unknown, and the Unknowable in Financial Risk Management," Manuscript, Departments of Economics, Finance, and Risk Management and Insurance, University of Pennsylvania, 2008 (with R.J. Herring and N.J. Doherty).
Statistical issues emerge as central to risk measurement, but economic issues of incentives and strategic behavior emerge as central for risk management, as we illustrate in a variety of contexts.

"The Nobel Prize for Robert F. Engle"
Scandinavian Journal of Economics, 106, 165-185, 2004.

Understanding Rob Engle's 2003 Nobel Prize in Economics.  Volatility and correlation modeling in financial markets.  What happened and why.

"Econometrics: Retrospect and Prospect," Journal of Econometrics, 100, 73-75, 2001.
Looking backward and forward on the twenty-fifth anniversary of the founding of the Journal of Econometrics.

"Great Realizations," Risk, March 2000, 105-108 (with T. Andersen and T. Bollerslev).
Describes the potential of realized volatility methods, in conjunction with modern high-frequency data, for measuring asset return volatilities and correlations.  Introduces the volatility signature plot for detecting and mitigating the effects of microstructure noise.

"Financial Risk Management in a Volatile Global Environment," Asia Risk, December 1999, 35-36 (with Anthony Santomero).
Lessons from the Asian crisis.

"The Past, Present and Future of Macroeconomic Forecasting" Journal of Economic Perspectives, 12, 175-192, 1998.
General equilibrium models useful for forecasting?!  Lots of people think this article is naive, or just plain wrong.   Time will tell...

 

Certain materials on this web page are based upon work supported by the National Science Foundation.
Any opinions, findings, conclusions or recommendations expressed in such material are those of the author(s)
and do not necessarily reflect the views of the National Science Foundation.