Modelling the Dependency between Inflation and Exchange Rate Using Copula

Joint Authors

Kwofie, Charles
Opoku-Ameyaw, Kwaku
Akoto, Isaac

Source

Journal of Probability and Statistics

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-06-17

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Mathematics

Abstract 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%.

American Psychological Association (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

Modern Language Association (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

American Medical Association (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

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1190168