Practical volatility and correlation modeling for financial market risk management
By: Torben G. Andersen ... [et al.].
Contributors: Andersen, Torben G.; National Bureau of Economic Research.
Series: NBER working paper series ;; working paper 11069; Working paper series (National Bureau of Economic Research : Online) ;; working paper no. 11069.
Publisher: National Bureau of Economic Research
Published: 2005
Place of publication: Cambridge, MA
Language: eng
Format: Electronic resource
Subjects: Risk management -- Mathematical models.; Capital market -- Mathematical models.; Financial institutions -- Mathematical models.
Description: "What do academics have to offer market risk management practitioners in financial institutions? Current industry practice largely follows one of two extremely restrictive approaches: historical simulation or RiskMetrics.  In contrast, we favor flexible methods based on recent developments in financial econometrics, which are likely to produce more accurate assessments of market risk.  Clearly, the demands of real-world risk management in financial institutions--in particular, real-time risk tracking in very high-dimensional situations--impose strict limits on model complexity.  Hence we stress parsimonious models that are easily estimated, and we discuss a variety of practical approaches for high-dimensional covariance matrix modeling, along with what we see as some of the pitfalls and problems in current practice.  In so doing we hope to encourage further dialog between the academic and practitioner communities, hopefully stimulating the development of improved market risk management technologies that draw on the best of both worlds"--National Bureau of Economic Research web site.
Notes: Also available in print.
Includes bibliographical references.
Title from PDF file as viewed on 2/1/2005.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.