Predictive Modeling, Volatility, and Risk Management in Financial Markets
In Memory of Peter F. Christoffersen
We honor Peter's path-breaking research in this special issue. Its style is marked by a masterful blend of intuition, theoretical rigor, and always, empirical relevance. It influenced and inspired countless others in academics and industry, world-wide. It has four basic, and highly-intertwined, organizational themes:
1. Predictive models and their evaluation (e.g., his classic early work on evaluating the conditional calibration of interval forecasts, Christoffersen (1998), one of the International Economic Review's ten most-cited papers since its founding in 1960)
2. Financial market risk measurement and management (e.g., his celebrated text, Christofffersen (2003))
3. Asset return volatility modeling and forecasting (e.g., his survey, Andersen et al. (2013))
4. Financial derivative markets with emphasis on options (e.g., Christoffersen et al. (2009), one of his many widely-cited papers).
We humbly offer this two-part special issue as a tribute to Peter. The included papers reflect his style and interests, not only methodologically as characterized above, but also in their wide variety of substantive applications, clearly testifying to the depth and breadth of the Christoffersen legacy.
Francis X. Diebold
University of Pennsylvania
Rene Garcia
University of Montreal
Kris Jacobs
University of Houston
References
Andersen, T.G., T. Bollerslev, P.F. Christoffersen, and F.X. Diebold (2013), "Financial Risk
Measurement for Financial Risk Management," In G. Constantinedes, M. Harris, and R.
Stulz (eds.), Handbook of the Economics of Finance, Elsevier, 1127-1220.
Christoffersen, P. (1998), "Evaluating Interval Forecasts," International Economic Review,
39, 841-862.
Christoffersen, P.F. (2003), Elements of Financial Risk Management, Academic Press.
Christoffersen, P.F., S. Heston, and K. Jacobs (2009), "The Shape and Term Structure of the Index Option Smirk: Why Multifactor Stochastic Volatility Models Work so Well," Management Science, 55, 1914-1932.
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