The Search for Chaos and Nonlinearities in Swedish Stock Index Returns
Henrik Amilon () and
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Henrik Amilon: Department of Economics, Lund University, Postal: Department of Economics, School of Economics and Management, Lund University, Box 7082, S-220 07 Lund, Sweden
No 1998:6, Working Papers from Lund University, Department of Economics
Numerous empirical studies have shown evidence of nonlinearities in financial time series, which can be of both a deterministic and a stochastic nature. Chaos is an example of the former, and heteroscedasticity in the conditional variance an example of the latter. We apply a test, the BDS test, to Swedish Stock Index returns and detect large deviations from the IID-hypothesis. There is no evidence of chaos, and most of the nonlinearities are due to conditionally heteroscedastic error terms. We look at monthly, daily, and 15-minute return series, and find no sensitivity in the results to choice of sampling frequency. Different GARCH models often seem to explain the nonlinearities detected by the BDS test, which is particularly the case for GARCH models with t-distributed errors fitted to monthly and daily returns.
Keywords: BDS test; neural networks; heteroscedasticity; deterministic systems (search for similar items in EconPapers)
JEL-codes: C22 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:hhs:lunewp:1998_006
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