International Journal of Management and Applied Science (IJMAS)
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Statistics report
Sep. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 65
Paper Published : 4063
No. of Authors : 8344
  Journal Paper




Paper Title :
Modelling Currency Volatility of the Top Sugar Exporting Countries: Symmetric Vs Asymmetric Garch Models

Author :Niel Oberholzer, Pierre Venter

Article Citation :Niel Oberholzer ,Pierre Venter , (2016 ) " Modelling Currency Volatility of the Top Sugar Exporting Countries: Symmetric Vs Asymmetric Garch Models " , International Journal of Management and Applied Science (IJMAS) , pp. 116-118, Volume-2,Issue-9

Abstract : The purpose of this paper is to investigate which of the GARCH-type family models is the best fitting model for the top sugar export countries in US-dollar value. The research paper will also investigate the presences of the ARCH-effects in the dataset. The results obtained gives no clear answer on both the best fitting model and the presence of leverage. The (asymmetric) GJR-GARCH model is the best fitting model for the 10 currency variables except the Pakistan (DLPKR). The (symmetric) GARCH model is the best fitting model for the Pakistan (DLPKR), and the two sugar future contracts.

Type : Research paper


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