Skip to content
Research Article Open access CC BY 4.0

Modelling Nigeria Naria Exchange Rate against Some Selected Country’s Currencies Volatility: Application of GARCH Model

Ajayi Abdulhakeem, Samuel Olorunfemi Adams, Rafiu Olayinka Akano

Asian Journal of Probability and Statistics · pp. 1–13 · Published 7 Sep 2019

10.9734/ajpas/2019/v5i130128

Abstract

This paper examines the exchange rate volatility with GARCH-type model of the daily exchange rate return series from January 2012 – August 2016 for Naira/Chinese Yuan, Naira/India Rupees, Naira/Spain Euro, Naira/UK Pounds and Naira/US Dollar returns. The studies compare estimates of variants of GARCH (1, 1), EGARCH (1, 1), TGARCH (1,1) and GJR-GARCH (1,1) models. The result from all models indict presence of volatility in the five currencies and equally indicate that most of the asymmetric models rejected the existence of a leverage effect except for models with volatility break. For GARCH (1, 1), GJR-GARCH (1, 1,) EGARCH (1,1) and TGARCH (1, 1), it was observed that India have the best exchange rate with the highest log-likelihood (Log L) and the lowest AIC and BIC followed by USA, China, Spain and United Kingdom respectively. The four models was later compared for the exchange rates of the five countries under consideration i.e. China, India, Spain, UK and USA  to select the best fitted model for each country and it was discovered that GJR-GARCH (1,1) is the best fitted model for all the countries followed by GARCH (1,1), TGARCH (1,1) and EGARCH (1,1) in that order.

EGARCH exchange rate foreign exchange GARCH GJR-GARCH volatility TGARCH.

Cited by 5

MODELLING THE VOLATILITY OF COTTON AND RUBBER STOCK RETURNS IN NIGERIA USING GARCH TYPE MODELS

Mohammed Anono Zubair, Bello Adaviriku Boyi · FUDMA JOURNAL OF SCIENCES · 2025

Modeling and Forecasting Cryptocurrency Returns and Volatility: An Application of GARCH Models

Haruna Umar Yahaya, John Sunday Oyinloye, Samuel Olorunfemi Adams · Universal Journal of Finance and Economics · 2022

Modeling Exchange Rate Volatility of ASEAN Member Countries

Piyasiri Kongwiriyapisal · International Journal of Applied Mathematics, Computational Science and Systems Engineering · 2023

Modelling and Forecasting of Crude Oil Price Return Volatility from 2006-2023: An Application of the Garch Models

University of Abuja, Samuel Olorunfemi Adams, Praise Ifeanyichukwu Olives · Journal of Science and Technology · 2025

Multivariate Volatility Modelling of Stock Prices For Some Selected Nigerian Solid Minerals

Mohammed Anono Zubair, Abubakar Haruna · African Journal of Mathematics and Statistics Studies · 2025

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

5

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.