Modelling the Dependency between Inflation and Exchange Rate Using Copula

المؤلفون المشاركون

Kwofie, Charles
Opoku-Ameyaw, Kwaku
Akoto, Isaac

المصدر

Journal of Probability and Statistics

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-06-17

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

الرياضيات

الملخص EN

In this paper, we propose a copula approach in measuring the dependency between inflation and exchange rate.

In unveiling this dependency, we first estimated the best GARCH model for the two variables.

Then, we derived the marginal distributions of the standardised residuals from the GARCH.

The Laplace and generalised t distributions best modelled the residuals of the GARCH(1,1) models, respectively, for inflation and exchange rate.

These marginals were then used to transform the standardised residuals into uniform random variables on a unit interval [0, 1] for estimating the copulas.

Our results show that the dependency between inflation and exchange rate in Ghana is approximately 7%.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Kwofie, Charles& Akoto, Isaac& Opoku-Ameyaw, Kwaku. 2020. Modelling the Dependency between Inflation and Exchange Rate Using Copula. Journal of Probability and Statistics،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1190168

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Kwofie, Charles…[et al.]. Modelling the Dependency between Inflation and Exchange Rate Using Copula. Journal of Probability and Statistics No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1190168

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Kwofie, Charles& Akoto, Isaac& Opoku-Ameyaw, Kwaku. Modelling the Dependency between Inflation and Exchange Rate Using Copula. Journal of Probability and Statistics. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1190168

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1190168