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Exchange Rate Pass-Through to Brazilian E-Commerce Prices

Author

Listed:
  • Daniel Penido de Lima Amorim
  • Marcelo Resende

Abstract

E-commerce has experienced significant growth and is becoming more relevant to economies. The exchange rate can have notable implications on e-commerce prices, and this relationship is of great interest to consumers and retailers transacting online. Brazil is prominent among other emerging countries in issues relating to e-commerce. This article analyzes the relationships between the exchange rate and e-commerce prices in Brazil. The results reveal that: (a) there is an incomplete exchange rate pass-through to Brazilian e-commerce prices; (b) there is temporal precedence of the exchange rate in relation to these prices; (c) there is the possibility of arbitraging online purchases based on exchange rate variations. This article contributes to understanding the e-commerce price behavior in an emerging country. The evidence can support buyers interested in arbitrage. JEL Classification F31, F41, L81

Suggested Citation

  • Daniel Penido de Lima Amorim & Marcelo Resende, 2024. "Exchange Rate Pass-Through to Brazilian E-Commerce Prices," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 16(1), pages 25-43, January.
  • Handle: RePEc:sae:emeeco:v:16:y:2024:i:1:p:25-43
    DOI: 10.1177/09749101221149251
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    References listed on IDEAS

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    1. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    2. Alberto Cavallo & Brent Neiman & Roberto Rigobon, 2014. "Currency Unions, Product Introductions, and the Real Exchange Rate," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 529-595.
    3. Yuriy Gorodnichenko & Viacheslav Sheremirov & Oleksandr Talavera, 2018. "Price Setting in Online Markets: Does IT Click?," Journal of the European Economic Association, European Economic Association, vol. 16(6), pages 1764-1811.
    4. Pinelopi Koujianou Goldberg & Michael M. Knetter, 1997. "Goods Prices and Exchange Rates: What Have We Learned?," Journal of Economic Literature, American Economic Association, vol. 35(3), pages 1243-1272, September.
    5. Ki-Ho Kim, 1998. "US inflation and the dollar exchange rate: a vector error correction model," Applied Economics, Taylor & Francis Journals, vol. 30(5), pages 613-619.
    6. Yuriy Gorodnichenko & Oleksandr Talavera, 2017. "Price Setting in Online Markets: Basic Facts, International Comparisons, and Cross-Border Integration," American Economic Review, American Economic Association, vol. 107(1), pages 249-282, January.
    7. Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
    8. José Anson & Mauro Boffa & Matthias Helble, 2019. "Consumer arbitrage in cross‐border e‐commerce," Review of International Economics, Wiley Blackwell, vol. 27(4), pages 1234-1251, September.
    9. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    10. Hillen, Judith & Fedoseeva, Svetlana, 2021. "E-commerce and the end of price rigidity?," Journal of Business Research, Elsevier, vol. 125(C), pages 63-73.
    11. Janine Aron & Ronald Macdonald & John Muellbauer, 2014. "Exchange Rate Pass-Through in Developing and Emerging Markets: A Survey of Conceptual, Methodological and Policy Issues, and Selected Empirical Findings," Journal of Development Studies, Taylor & Francis Journals, vol. 50(1), pages 101-143, January.
    12. Menon, Jayant, 1995. "Exchange Rate Pass-Through," Journal of Economic Surveys, Wiley Blackwell, vol. 9(2), pages 197-231, June.
    13. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    14. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    15. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    16. Robert E. Litan & Alice M. Rivlin, 2001. "Projecting the Economic Impact of the Internet," American Economic Review, American Economic Association, vol. 91(2), pages 313-317, May.
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    More about this item

    Keywords

    Exchange rate; pass-through; e-commerce; cointegration; Granger causality;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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