The Effect of Exchange Rate Volatility on Trade between South Africa and her Top Trading Partners: Fresh Insights from ARDL and Quantile ARDL Models

We investigate the impact of exchange rate volatility on exports and imports between South Africa and its main trading partners, namely the United States and China, across 22 import and export industries. The study employs the quantile autoregressive distributive lag (QARDL) model using quarterly data from the period spanning from 1994Q1 to 2022Q4. Our initial ARDL estimates establish that currency volatility does not significantly harm most trade sectors with both countries. In fact, many industries exhibit an insignificant or positive correlation with currency volatility. Nevertheless, upon re-estimating the regressions using the QARDL model, we uncover ‘hidden cointegration’ relationships existing at quantiles beyond the mean and median estimates, which are undetectableby traditional ARDL models. By considering these location-based asymmetries, we conclude that trade activities with China benefit more from exchange rate volatility compared to those with the United States. Overall, our findings imply that monetary authorities may not need to intervene in currency markets to stimulate trade with the top trading partners, as firms appear to be willing to bear the currency risks associated with the volatile Rand exchange rate.

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Publication Details

Journal
Managing Global Transitions
Published
2024-09-27
DOI
https://doi.org/10.26493/1854-6935.22.253-277
Citations
1
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
0.83
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The Effect of Exchange Rate Volatility on Trade between South Africa and her Top Trading Partners: Fresh Insights from ARDL and Quantile ARDL Models

Andrew Phiri, Mashilana Ngondo
1 citations
Managing Global Transitions
Global trade and economics
0.83
article

The Effect of Exchange Rate Volatility on Trade between South Africa and her Top Trading Partners: Fresh Insights from ARDL and Quantile ARDL Models

Andrew Phiri, Mashilana Ngondo
article en
1 citations

Abstract

We investigate the impact of exchange rate volatility on exports and imports between South Africa and its main trading partners, namely the United States and China, across 22 import and export industries. The study employs the quantile autoregressive distributive lag (QARDL) model using quarterly data from the period spanning from 1994Q1 to 2022Q4. Our initial ARDL estimates establish that currency volatility does not significantly harm most trade sectors with both countries. In fact, many industries exhibit an insignificant or positive correlation with currency volatility. Nevertheless, upon re-estimating the regressions using the QARDL model, we uncover ‘hidden cointegration’ relationships existing at quantiles beyond the mean and median estimates, which are undetectableby traditional ARDL models. By considering these location-based asymmetries, we conclude that trade activities with China benefit more from exchange rate volatility compared to those with the United States. Overall, our findings imply that monetary authorities may not need to intervene in currency markets to stimulate trade with the top trading partners, as firms appear to be willing to bear the currency risks associated with the volatile Rand exchange rate.

Managing Global TransitionsVol. 22(3)
Nelson Mandela University (ZA)
Openalex Percentile: Top 23%
Global trade and economics
0.83
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