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  Citation Number 1
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Türkiye’de Sepet Kur Volatilitesinin GARCH Modellemesi: Asimetri Etkisi Yaklaşımı
2021
Journal:  
Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD)
Author:  
Abstract:

Amaç: Volatilite, farklı makroekonomik değişkenler üzerindeki olası bir risk ölçüsü iken, finansal küreselleşmeden sonra döviz kuru volatilitesi için özel bir analiz süreci haline gelmiştir. Bu araştırmanın amacı, Türkiye’nin dış borç ve ticaretinde baskın olan dolar ve euro kurlarından oluşturulan sepet kur volatilitesinin incelenmesidir. Tasarım/Yöntem: Sepet kur volatilitesi, 2001:M1-2020:M6 döneminde normal ve Student-t dağılımları altında GARCH, EGARCH, TGARCH ve PARCH modelleriyle analiz edilmiştir. Bulgular: Söz konusu modellerin tahmin sonuçlarının karşılaştırmasına göre, sepet kur volatilitesinin belirlenmesinde en iyi model Student-t dağılımı altında PARCH(1,1)’dir. Öngörü performansı da yüksek olan Student-t dağlılımı altındaki PARCH(1,1) modelinin, sepet kur serisinin geleceğe yönelik projeksiyonlarında başarılı olacağı düşünülmektedir. Sınırlılıklar: Sepet kur bileşeni olarak sadece dolar ve euronun değerlendirilmesi bu araştırmanın sınırlılığıdır. Özgünlük/Değer: Sepet kur volatilitesinin modellenmesine ilişkin mevcut tek çalışmaya alternatif olarak literatüre katkı sağlaması araştırmanın özgünlüğünü oluşturmaktadır.

Keywords:

Garch Modelling Of Currency Basket Volatility In Turkey: Asymmetry Impact Approach
2021
Author:  
Abstract:

Purpose: While volatility is a possible measure of risk on different macroeconomic variables, it has become a special analysis process for exchange rate volatility after financial globalization The purpose of this research is to examine the volatility of the currency basket which formed from Turkey's external debt and trade in the dominant dollar and the euro currency. Design/Methodology: Currency basket volatility was analyzed with GARCH, EGARCH, TGARCH and PARCH models under normal and Student-t distributions in the period 2001:M1-2020:M6. Findings: According to the comparison of the estimation results of the models in question, the best model for determining basket exchange rate volatility is PARCH (1,1) under Student-t distribution. It is thought that the PARCH(1,1) model under the Student-t distribution, which also has a high predictive performance, will succeed in the future projections of the currency basket series. Limitations: Evaluating only the dollar and euro as a basket exchange component is the limitation of this research. Originality/Value: As an alternative to the only current study on modeling basket exchange rate volatility, his contribution to the literature constitutes the originality of the research

Keywords:

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Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD)

Field :   Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Ulusal

Metrics
Article : 373
Cite : 2.151
2023 Impact : 0.622
Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD)