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Estimation of garch models for Nigerian exchange rates under non-gaussian innovations

Financial series often displays evidence of leptokurticity and in that case, the empirical distribution often fails normality. GARCH models were initially based on normality assumption but estimated model based on this assumption cannot capture all the degree of leptokurticity in the return series....

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Published: 2013
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LEADER 00000njm a2000000a 4500
001 oai:repository.ui.edu.ng:123456789/7655
042 |a dc 
720 |a Adepoju, A. A.  |e author 
720 |a Yaya, O. S.  |e author 
720 |a Ojo, O. O.  |e author 
260 |c 2013 
520 |a Financial series often displays evidence of leptokurticity and in that case, the empirical distribution often fails normality. GARCH models were initially based on normality assumption but estimated model based on this assumption cannot capture all the degree of leptokurticity in the return series. In this paper, we applied variants of GARCH models under non-normal innovations-t-distribution and Generalized Error Distribution (GED) on selected Nigeria exchange rates. The Berndt, Hall, Hall, Hausman (BHHH) numerical derivatives applied in the estimation of models converged faster and the time varied significantly across models. Asymmetric GARCH model with t-distribution (GARCH-t) was selected in most of the cases whereas for Nigeria-US Dollar exchange rate, GARCH-GED was specified. Both distributions showed evidence of leptokurticity in Naira exchange rate return series. The result is of practical importance to practitioners 
024 8 |a 2222-2855 
024 8 |a ui_art_adepoju_estimation_2013 
024 8 |a Journal of Economics and Sustainable Development 4(3), 2013. Pp. 88 - 97 
024 8 |a http://ir.library.ui.edu.ng/handle/123456789/7655 
653 |a GARCH 
653 |a Exchange rate 
653 |a Model specification 
653 |a Non-Gaussian distribution 
245 0 0 |a Estimation of garch models for Nigerian exchange rates under non-gaussian innovations