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Long run peso/dollar exchange rates and extreme value behavior: Value at Risk modeling

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  • de Jesús, Raúl
  • Ortiz, Edgar
  • Cabello, Alejandra

Abstract

We apply an extended VaR integrating a generalized extreme value distribution to estimate potential losses from investing in the peso/dollar exchange market using daily data for the period 1970–2007; the block maxima approach is used to minimize impact from dependency in prices due to the presence of heteroscedasticity. Estimations are presented for short and long positions. Our evidence confirms the potential of the GEVD to explain the extreme behavior from exchange rates. It also supports the hypothesis that EVT is a more precise and conservative approach estimation than conventional VaR. Backtesting is used to gauge robustness of the results.

Suggested Citation

  • de Jesús, Raúl & Ortiz, Edgar & Cabello, Alejandra, 2013. "Long run peso/dollar exchange rates and extreme value behavior: Value at Risk modeling," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 139-152.
    • Handle: RePEc:eee:ecofin:v:24:y:2013:i:c:p:139-152
    DOI: 10.1016/j.najef.2012.06.001
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    6. Mudakkar, Syeda Rabab & Uppal, Jamshed Y. & Zaman, Khalid & Naseem, Imran & Shah, Ghias Ud Din, 2013. "Foreign exchange risk in a managed float regime: A case study of Pakistani rupee," Economic Modelling, Elsevier, vol. 35(C), pages 409-417.
    7. Ra l de Jes s-Guti rrez & Roberto J. Santill n-Salgado, 2019. "Conditional Extreme Values Theory and Tail-related Risk Measures: Evidence from Latin American Stock Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 127-141.
    8. Allen, David E. & Singh, Abhay K. & Powell, Robert J., 2013. "EVT and tail-risk modelling: Evidence from market indices and volatility series," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 355-369.

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