Exchange rate sensitivity influencing the economy: The case of Sri Lanka
This particular study investigated the possibility of modelling the exchange rate volatility of the USD/LKR currency pair and analysed whether macroeconomic factors influence the exchange rate. To model the exchange rate volatility, a combination of Autoregressive integrated moving average (ARIMA) a...
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| Veröffentlicht in: | PloS one 2022-06, Vol.17 (6), p.e0269538-e0269538 |
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| creator | Thevakumar, Presant Jayathilaka, Ruwan |
| description | This particular study investigated the possibility of modelling the exchange rate volatility of the USD/LKR currency pair and analysed whether macroeconomic factors influence the exchange rate. To model the exchange rate volatility, a combination of Autoregressive integrated moving average (ARIMA) and generalized autoregressive conditional heteroskedasticity (GARCH) family models were used. The ARDL model was utilized to explore the presence of dynamic short-run and long-run relationships between the exchange rate and macroeconomic variables. The ARDL model empirical findings inferred that a long-run relationship does not exist between any of the examined macroeconomic variables and the exchange rate. In contrast, a short-run relationship exists between exchange rate lag one, exchange rate lag two, inflation, and merchandising trade balance. Thereby, as per the findings improving the merchandising trade balance and minimising inflation would minimise volatility in the exchange rate. All stakeholders who are exposed to foreign exchange volatility including policymakers, importers, exporters, and financial institutions can benefit from this study’s findings. This research focused on the most recent economic phenomena of Sri Lanka and used Gross official reserve as a variable that was rarely used in existing literature on Sri Lankan exchange rate. |
| doi_str_mv | 10.1371/journal.pone.0269538 |
| format | Article |
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To model the exchange rate volatility, a combination of Autoregressive integrated moving average (ARIMA) and generalized autoregressive conditional heteroskedasticity (GARCH) family models were used. The ARDL model was utilized to explore the presence of dynamic short-run and long-run relationships between the exchange rate and macroeconomic variables. The ARDL model empirical findings inferred that a long-run relationship does not exist between any of the examined macroeconomic variables and the exchange rate. In contrast, a short-run relationship exists between exchange rate lag one, exchange rate lag two, inflation, and merchandising trade balance. Thereby, as per the findings improving the merchandising trade balance and minimising inflation would minimise volatility in the exchange rate. All stakeholders who are exposed to foreign exchange volatility including policymakers, importers, exporters, and financial institutions can benefit from this study’s findings. This research focused on the most recent economic phenomena of Sri Lanka and used Gross official reserve as a variable that was rarely used in existing literature on Sri Lankan exchange rate.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0269538</identifier><identifier>PMID: 35709308</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Analysis ; Autoregressive models ; Central banks ; COVID-19 ; Developing countries ; Economic aspects ; Economic conditions ; Economic factors ; Empirical analysis ; Engineering and Technology ; Exchanging ; Fixed exchange rates ; Foreign exchange ; Foreign exchange rates ; Industrialized nations ; Inflation ; Interest rates ; International trade ; LDCs ; Macroeconomics ; Modelling ; People and places ; Physical Sciences ; Prices and rates ; Regression analysis ; Remittances ; Research and Analysis Methods ; Skewness ; Social Sciences ; Stochastic models ; Tourism ; Variables ; Volatility ; Volatility (Finance)</subject><ispartof>PloS one, 2022-06, Vol.17 (6), p.e0269538-e0269538</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Thevakumar, Jayathilaka. 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To model the exchange rate volatility, a combination of Autoregressive integrated moving average (ARIMA) and generalized autoregressive conditional heteroskedasticity (GARCH) family models were used. The ARDL model was utilized to explore the presence of dynamic short-run and long-run relationships between the exchange rate and macroeconomic variables. The ARDL model empirical findings inferred that a long-run relationship does not exist between any of the examined macroeconomic variables and the exchange rate. In contrast, a short-run relationship exists between exchange rate lag one, exchange rate lag two, inflation, and merchandising trade balance. Thereby, as per the findings improving the merchandising trade balance and minimising inflation would minimise volatility in the exchange rate. All stakeholders who are exposed to foreign exchange volatility including policymakers, importers, exporters, and financial institutions can benefit from this study’s findings. This research focused on the most recent economic phenomena of Sri Lanka and used Gross official reserve as a variable that was rarely used in existing literature on Sri Lankan exchange rate.</description><subject>Analysis</subject><subject>Autoregressive models</subject><subject>Central banks</subject><subject>COVID-19</subject><subject>Developing countries</subject><subject>Economic aspects</subject><subject>Economic conditions</subject><subject>Economic factors</subject><subject>Empirical analysis</subject><subject>Engineering and Technology</subject><subject>Exchanging</subject><subject>Fixed exchange rates</subject><subject>Foreign exchange</subject><subject>Foreign exchange rates</subject><subject>Industrialized nations</subject><subject>Inflation</subject><subject>Interest rates</subject><subject>International trade</subject><subject>LDCs</subject><subject>Macroeconomics</subject><subject>Modelling</subject><subject>People and places</subject><subject>Physical 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exchange rate. To model the exchange rate volatility, a combination of Autoregressive integrated moving average (ARIMA) and generalized autoregressive conditional heteroskedasticity (GARCH) family models were used. The ARDL model was utilized to explore the presence of dynamic short-run and long-run relationships between the exchange rate and macroeconomic variables. The ARDL model empirical findings inferred that a long-run relationship does not exist between any of the examined macroeconomic variables and the exchange rate. In contrast, a short-run relationship exists between exchange rate lag one, exchange rate lag two, inflation, and merchandising trade balance. Thereby, as per the findings improving the merchandising trade balance and minimising inflation would minimise volatility in the exchange rate. All stakeholders who are exposed to foreign exchange volatility including policymakers, importers, exporters, and financial institutions can benefit from this study’s findings. This research focused on the most recent economic phenomena of Sri Lanka and used Gross official reserve as a variable that was rarely used in existing literature on Sri Lankan exchange rate.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>35709308</pmid><doi>10.1371/journal.pone.0269538</doi><tpages>e0269538</tpages><orcidid>https://orcid.org/0000-0002-7679-4164</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Analysis Autoregressive models Central banks COVID-19 Developing countries Economic aspects Economic conditions Economic factors Empirical analysis Engineering and Technology Exchanging Fixed exchange rates Foreign exchange Foreign exchange rates Industrialized nations Inflation Interest rates International trade LDCs Macroeconomics Modelling People and places Physical Sciences Prices and rates Regression analysis Remittances Research and Analysis Methods Skewness Social Sciences Stochastic models Tourism Variables Volatility Volatility (Finance) |
| title | Exchange rate sensitivity influencing the economy: The case of Sri Lanka |
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