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The Gravity Modelling of the Relationship between Exchange Rate Volatility and Foreign Trade in Visegrad Countries

Author

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  • Jana Simakova

    (Silesian University in Opava)

Abstract

The paper focuses on the relationship between exchange rate volatility and foreign trade. The aim of this study is to evaluate the effect of exchange rate volatility on the foreign trade of Visegrad Countries on bilateral level as well as on the commodity level for different traded product groups determined by SITC classification. An empirical analysis uses territorial and commodity structuring of foreign trade data and is realized for the period 1999:Q1 – 2014:Q3. We use panel regression applied to the gravity model of foreign trade for analyzing the exchange rate volatility effects. Exchange rate volatility leads to decreasing of foreign trade turnover on the bilateral level. In the case of Slovakia, a negative effect on foreign trade was identified in all groups except chemicals, raw materials and raw materials for food purposes. For Poland was these effects detected for trade with mineral fuels, lubricants, animal fats, oils and waxes, while other products show their negative effects of exchange rate volatility on international trade. For Hungary, all statistically significant coefficients are negative and thus confirm the assumption of reduction of foreign trade turnover with increased exchange rate volatility. For the Czech Republic, the negative effect of exchange rate volatility was reflected in trade flows of food and live animals, animal and vegetable fats, machinery, transport equipment and miscellaneous manufactured articles.

Suggested Citation

  • Jana Simakova, 2016. "The Gravity Modelling of the Relationship between Exchange Rate Volatility and Foreign Trade in Visegrad Countries," ACTA VSFS, University of Finance and Administration, vol. 10(1), pages 7-30.
  • Handle: RePEc:prf:journl:v:10:y:2016:i:1:p:7-30
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    References listed on IDEAS

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    1. Seifert, Jan & Uhrig-Homburg, Marliese & Wagner, Michael, 2008. "Dynamic behavior of CO2 spot prices," Journal of Environmental Economics and Management, Elsevier, vol. 56(2), pages 180-194, September.
    2. Benz, Eva & Trück, Stefan, 2009. "Modeling the price dynamics of CO2 emission allowances," Energy Economics, Elsevier, vol. 31(1), pages 4-15, January.
    3. Böhringer, Christoph & Rutherford, Thomas F. & Tol, Richard S. J., 2009. "The EU 20/20/2020 Targets: An Overview of the EMF22 Assessment," Papers WP325, Economic and Social Research Institute (ESRI).
    4. Daskalakis, George & Psychoyios, Dimitris & Markellos, Raphael N., 2009. "Modeling CO2 emission allowance prices and derivatives: Evidence from the European trading scheme," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1230-1241, July.
    5. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    exchange rate volatility; foreign tade; gravity model; Visegrad Countries; sectoral analysis;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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