Thomas Kaiser (Eberhard-Karls-Universitaet Tuebingen, Germany)
Abstract
This paper presents theoretical models and their empirical results for the return and variance dynamics of German stocks. A factor structure is used in order to allow for a parsimonious modeling of the first two moments of returns. Dynamic factor models with GARCH dynamics (GARCH(1,1)-M, IGARCH(1,1)-M, Nonlinear Asymmetric GARCH(1,1)-M and Glosten-Jagannathan-Runkle GARCH(1,1)-M) and three different distributions for the disturbances (Normal, Student's t and Generalized Error Distribution) are considered. Out-of-sample forecasts for the stock returns based upon these models are computed. These forecasts are compared with forecasts based on individual GARCH(1,1)-M models, static factor models, naive, random walk and exponential smoothing forecasts.
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Publisher Info
Paper provided by EconWPA in its series Econometrics with number
9612007.
Length: 34 pages Date of creation: 17 Dec 1996 Date of revision: Handle: RePEc:wpa:wuwpem:9612007
Note: Type of Document - Postscript/tared/gzipped; prepared on HP- UX; to print on Postscript; pages: 34 , 19 ; figures: included (seperate files). Tuebinger Diskussionsbeitraege Nr. 87 Wirtschaftswissenschaftliche Fakultaet Eberhard-Karls-Universitaet Tuebingen Contact details of provider: Web page: http://129.3.20.41
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Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
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