European Business Schools Librarian's Group

SSE/EFI Working Paper Series in Economics and Finance,
Stockholm School of Economics

No 564: Evaluating exponential GARCH models

Hans Malmsten ()
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Hans Malmsten: Dept. of Economic Statistics, Stockholm School of Economics, Postal: Stockholm School of Economics, P.O. Box 6501, SE-113 83 Stockholm, Sweden

Abstract: In this paper, a unified framework for testing the adequancy of an estimated EGARCH model is presented. The tests are Lagrange multiplier or Lagrange multiplier type tests and include testing an EGARCH model against a higher-order one and testing parameter constancy. Furthermore, various existing ways of testing the EGARCH model against GARCH one are investigated as another check of model adequacy. This is done by size and power simulations. Small-sample properties of the other tests are also investigated by simulations.

Keywords: evalation of volatility models; modelling volatility; parameter constancy; GARCH

JEL-codes: C22; C52

25 pages, First version: August 27, 2004. Revised: September 3, 2004.

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