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Sovereign Risk and the Real Exchange Rate: A Non-Linear Approach

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Abstract

We estimate a model of real exchange rate determination which is based on interest rate, term structure and purchasing power parities. This model takes into account sovereign risk as a key determinant with possibly non-linear effects. Estimations are performed for five Latin-American economies: Brazil, Chile, Colombia, Mexico and Peru. The results show that the model has good fit for all countries and the expected sign holds for most estimated coefficients. In particular, it is found that sovereign risk has a significant positive relation with the real exchange rate. There is evidence of the non-linearity of this relation for all countries except Mexico. This non-linearity implies coefficients that change with smooth transition as a function of international volatility indicators. In addition, we perform misalignment analyses and show that real exchange rates became over-depreciated during the initial development of the great financial crisis. Then, between 2011 and 2013, they went through a few periods of over-appreciation as international monetary and fiscal policies became expansive and international capital flows were bound to emerging economies searching for higher yields. Finally, the strong reduction of commodity prices led to a new over-depreciation episode during the second half of 2015.

Suggested Citation

  • Jair N. Ojeda-Joya & Gloria Sarmiento, 2016. "Sovereign Risk and the Real Exchange Rate: A Non-Linear Approach," Borradores de Economia 970, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:970
    DOI: 10.32468/be.970
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    2. Min Su & Yixuan Ren & Yifang Niu & Zhen Wang, 2025. "Dynamic linkages and determinants of sovereign CDS and exchange rates: evidence from G7 and BRICS," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
    3. Ojeda-Joya, Jair & Romero, José Vicente, 2023. "Global uncertainty shocks and exchange-rate expectations in Latin America," Economic Modelling, Elsevier, vol. 120(C).
    4. Reinhold Heinlein & Gabriella D. Legrenzi & Scott M. R. Mahadeo & Gabriella Deborah Legrenzi, 2024. "Exchange Rates and Sovereign Risk: A Nonlinear Approach Based on Local Gaussian Correlations," CESifo Working Paper Series 11019, CESifo.
    5. Ifedolapo Olabisi Olanipekun & Godwin Olasehinde-Williams & Hasan Güngör, 2019. "Impact of Economic Policy Uncertainty on Exchange Market Pressure," SAGE Open, , vol. 9(3), pages 21582440198, September.
    6. Andrea Carolina Vargas-Páez & Carlos David Ardila-Dueñas, 2021. "Efecto del riesgo de tipo de cambio en la rentabilidad de los bonos soberanos en Colombia," Borradores de Economia 1165, Banco de la Republica de Colombia.

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects

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