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Exchange Rates as Exchange Rate Common Factors

Author

Listed:
  • Nelson Mark

    (Department of Economics, University of Notre Dame)

Abstract

Factor analysis performed on a panel of 23 nominal exchange rates from January 1999 to December 2010 yields three common factors. This paper identifies the euro/dollar, Swiss- franc/dollar and yen/dollar exchange rates as empirical counterparts to these common factors. These empirical factors explain a large proportion of exchange rate variation over time and have significant in-sample and out-of-sample predictive power.

Suggested Citation

  • Nelson Mark, 2012. "Exchange Rates as Exchange Rate Common Factors," Working Papers 011, University of Notre Dame, Department of Economics, revised Mar 2012.
    • Handle: RePEc:nod:wpaper:011
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    File URL: http://www3.nd.edu/~tjohns20/RePEc/deendus/wpaper/011_factors.pdf
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    Citations

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    Cited by:

    1. Rossi, José Luiz Júnior, 2013. "Liquidity and Exchange Rates," Insper Working Papers wpe_325, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    2. Saart, Patrick W. & Xia, Yingcun, 2022. "Functional time series approach to analyzing asset returns co-movements," Journal of Econometrics, Elsevier, vol. 229(1), pages 127-151.
    3. Rossi Junior, Jose Luiz & Felicio, Wilson Rafael de Oliveira, 2014. "Common Factors and the Exchange Rate: Results From the Brazilian Case," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(1), April.
    4. Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
    5. José Luiz Rossi Júnior, 2013. "Liquidity and Exchange Rates," Business and Economics Working Papers 181, Unidade de Negocios e Economia, Insper.
    6. Felício, Wilson Rafael de Oliveira & Rossi, José Luiz Júnior, 2013. "Common factors and the exchange rate: results from the Brazilian case," Insper Working Papers wpe_318, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    7. Ahmed, Shamim & Liu, Xiaoquan & Valente, Giorgio, 2016. "Can currency-based risk factors help forecast exchange rates?," International Journal of Forecasting, Elsevier, vol. 32(1), pages 75-97.
    8. Ponomareva, Natalia & Sheen, Jeffrey & Wang, Ben, 2015. "The Common Factor of Bilateral U.S. Exchange Rates: What is it Related to?," MPRA Paper 68966, University Library of Munich, Germany.
    9. Hossfeld, Oliver & MacDonald, Ronald, 2015. "Carry funding and safe haven currencies: A threshold regression approach," Journal of International Money and Finance, Elsevier, vol. 59(C), pages 185-202.
    10. Berg, Kimberly A. & Mark, Nelson C., 2015. "Third-country effects on the exchange rate," Journal of International Economics, Elsevier, vol. 96(2), pages 227-243.
    11. Nelson R. Ramírez-Rondán & Marco E. Terrones, 2024. "Uncertainty and the uncovered interest parity condition: How are they related?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 160(4), pages 1505-1542, November.
    12. José Luiz Rossi Júnior, 2014. "The Usefulness of Financial Variables in Predicting Exchange Rate Movements," Business and Economics Working Papers 198, Unidade de Negocios e Economia, Insper.
    13. Ponomareva, Natalia & Sheen, Jeffrey & Wang, Ben Zhe, 2019. "Forecasting exchange rates using principal components," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    14. Amat, Christophe & Michalski, Tomasz & Stoltz, Gilles, 2018. "Fundamentals and exchange rate forecastability with simple machine learning methods," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 1-24.
    15. Thomas A. Maurer & Thuy-Duong Tô & Ngoc-Khanh Tran, 2019. "Pricing Risks Across Currency Denominations," Management Science, INFORMS, vol. 65(11), pages 5308-5336, November.
    16. Natalia Ponomareva & Jeffrey Sheen & Ben Zhe Wang, 2019. "The common component of bilateral US exchange rates: to what is it related?," Empirical Economics, Springer, vol. 56(4), pages 1251-1268, April.
    17. repec:fgv:epgrbe:v:68:n:1:a:3 is not listed on IDEAS
    18. Shaghayegh KORDNOORI & Hamidreza MOSTAFAEI & Shirin KORDNOORI, 2015. "Applied SCGM(1,1)c Model and Weighted Markov Chain for Exchange Rate Ratios," Hyperion Economic Journal, Faculty of Economic Sciences, Hyperion University of Bucharest, Romania, vol. 3(4), pages 12-22, December.
    19. Wilson Rafael de Oliveira Felício & José Luiz Rossi Júnior, 2013. "Common factors and the exchange rate: results from the Brazilian case," Business and Economics Working Papers 183, Unidade de Negocios e Economia, Insper.
    20. Atanasov, Victoria & Nitschka, Thomas, 2014. "Currency excess returns and global downside market risk," Journal of International Money and Finance, Elsevier, vol. 47(C), pages 268-285.
    21. Samuel W. Malone & Robert B. Gramacy & Enrique Ter Horst, 2016. "Timing Foreign Exchange Markets," Econometrics, MDPI, vol. 4(1), pages 1-23, March.
    22. Rossi, José Luiz Júnior, 2014. "The Usefulness of Financial Variables in Predicting Exchange Rate Movements," Insper Working Papers wpe_332, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.

    More about this item

    Keywords

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    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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