2017
DOI: 10.24191/jeeir.v5i2.8800
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Exchange rate volatility and non-oil exports in Nigeria: An empirical investigation

Abstract: The adoption of a flexible exchange rate system since 1986 in Nigeria has made the country witnessed varying rate of the naira vis-à-vis the U.S dollar. This paper examines exchange rate volatility with ARCH model and its various extensions (GARCH, TGARCH, and EGARCH) using quarterly exchange rate series from 1986-Q1 to 2014-Q4.The impact of exchange rate volatility on non-oil exports was also examined using Error Correction Model (ECM) with two different measures of volatility. The results obtained confirm th… Show more

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Cited by 4 publications
(6 citation statements)
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“…The findings show that all the independent variables except the total government expenditure are not in line with the a priori expectations, which agree with the work of Oyelami and Ajeigbe [11] and Akanbi et al [17]. The R-square results showed that 99% of the changes that had taken place in the dependent variable were explained by the changes in the independent variables.…”
Section: Long Run Resultssupporting
confidence: 79%
See 1 more Smart Citation
“…The findings show that all the independent variables except the total government expenditure are not in line with the a priori expectations, which agree with the work of Oyelami and Ajeigbe [11] and Akanbi et al [17]. The R-square results showed that 99% of the changes that had taken place in the dependent variable were explained by the changes in the independent variables.…”
Section: Long Run Resultssupporting
confidence: 79%
“…Akanbi, Alagbeb, Yusuf, and Oluwaseyi [17] used the ARCH model and its various extensions (GARCH, TGARCH, and EGARCH), including the Error Correction Model, to examine the impact of exchange rate volatility on non-oil exports. The result of the analysis revealed that exchange rate volatility has a significant negative impact on non-oil export performance in Nigeria.…”
Section: Empirical Reviewmentioning
confidence: 99%
“…For Nigeria's oil exports to Canada, Italy, Brazil, and France, Yunusa (2020) observed the same negative effect of exchange rate volatility on exports. In the case of non-oil and gas sector exports for the period 1986-2014, Akanbi et al (2017) found volatility's negative effect on exports. Sugiharti et al (2020) also found similar results in several primary commodity exports from Indonesia to its main trading partners.…”
Section: Previous Studymentioning
confidence: 92%
“…Good news means that information will assert a positive influence on increasing the value of volatility, for instance, an unexpected appreciation in the currency value will increase volatility, while bad news means that information will have a negative impact, for example, an unexpected depreciation in currency values will increase volatility (Nishimura and Hirayama 2013). In addition, Akanbi et al (2017) used the threshold GARCH (TGARCH) method, which is introduced by (Glosten et al 1993).…”
Section: Previous Studymentioning
confidence: 99%
“…Similarly, Akanbi, Alagbeb, Yusuf, and Oluwaseyi (2017) examined the impact of exchange rate volatility using the ARCH model and its different augmentations (GARCH, TGARCH, and EGARCH) utilizing quarterly exchange rate series from 1986-Q1 to 2014-Q4. Error Correction Model (ECM) was employed to determine the exchange rate volatility on non-oil exports.…”
Section: Brief Review Of Literaturementioning
confidence: 99%