Non-linear versus non-gaussian volatility models in application to different financial markets

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Summary

This work used neural-network based modelling to generalize the linear econometric return models and compare their out-of-sample predictive ability in terms of different performance measures under three density specifications, and found that for all markets there was found no improvement in the forecast by non-linear models over linear ones.

Type
article
Published
2003-01-01
Cited by
1
References
23
Access
Open access

Keywords

Econometrics, Volatility (finance), Linear model, Gaussian, Financial market

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