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:: Volume 11, Issue 44 (spring-2015 2015) ::
QEER 2015, 11(44): 95-123 Back to browse issues page
Testing Causality between Real Exchange Rate and Oil Price in Iran with Artificial Neural Network and Wavelet Methodes
زهور نژادحلافی *
دانشگاه شیراز , ehadian@rose.shirazu.ac.ir
Abstract:   (4577 Views)

The main purpose of this study is to examine causality between oil price and real exchange rate in the context of Iranian economy during 1991/1 to 2011/12. In doing so, a novel technique based on the combination of Wavelet transform and Artificial Neural Network has been used. Empirical results confirm an unidirectional causality from oil price to exchange rate in time domain and after decomposing time series only in third scale a bidirectional causality exists.

Keywords: Key words: Oil and Exchange Rate, Wavelet transform, Artificial Neural Network, Iranian economy
Full-Text [PDF 454 kb]   (1512 Downloads)    
Type of Study: paper | Subject: Energy Economic
Received: 2014/01/18 | Accepted: 2015/02/5 | Published: 2015/11/8 | ePublished: 2015/11/8
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نژادحلافی ز. Testing Causality between Real Exchange Rate and Oil Price in Iran with Artificial Neural Network and Wavelet Methodes . QEER 2015; 11 (44) :95-123
URL: http://iiesj.ir/article-1-284-en.html


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Volume 11, Issue 44 (spring-2015 2015) Back to browse issues page
فصلنامه مطالعات اقتصاد انرژی Quarterly Energy Economics Review
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