Nonlinear dynamics: Evidence for a small stock exchange |
| |
Authors: | Martin Scheicher |
| |
Institution: | (1) Department of Economics, University of Vienna, Bruennerstr. 72, A-1210 Vienna, Austria (e-mail: Martin.Scheicher@univie.ac.at), AT |
| |
Abstract: | This paper models the main stock index of the Vienna Stock Exchange with daily data from 1986 to 1992. We find that returns
are nonnormal and show linear and nonliner dependence. On that basis we compare the fit of alternative specifications of Generalized
Autoregressive Conditional Heteroscedasticity (GARCH) to the Markov-Switching approach. The models are evaluated with diagnostic
tests on the standardized residuals. We consider evidence for deterministic structures and for infinite variance. Our main
result is that a parsimonious model from the GARCH – class can generate the statistical properties of daily returns. The behavior
of the two types of models with respect to temporal aggregation is found to differ significantly.
First version received: January 1996/Final version received: December 1997 |
| |
Keywords: | : Stock returns volatility models temporal aggregation |
本文献已被 SpringerLink 等数据库收录! |