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Carry trades and exchange rate volatility: a TVAR approach

Author

Listed:
  • Alessio Anzuini

    (Bank of Italy)

  • Francesca Brusa

    (Oxford University)

Abstract

Recent empirical studies have established that deviations from the Uncovered Interest Parity (UIP) condition may be different across macroeconomic regimes. We extend this work to account for possible nonlinearities and endogeneity by estimating a Threshold Vector Autoregression (TVAR) model. Using carry trade proxies as in Brunnermeier et al. (2009) alongside a measure of realized exchange rate volatility, we endogenously identify two volatility regimes: low and high. Simulating an incentive to open a carry-trade position through an orthogonal shock to the interest rate differential, we find that carry trade performance varies across different regimes. This suggests that UIP deviations are more pronounced in the low volatility state and non-linearities play a role in explaining the forward bias.

Suggested Citation

  • Alessio Anzuini & Francesca Brusa, 2016. "Carry trades and exchange rate volatility: a TVAR approach," Temi di discussione (Economic working papers) 1046, Bank of Italy, Economic Research and International Relations Area.
    • Handle: RePEc:bdi:wptemi:td_1046_15
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    References listed on IDEAS

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    Cited by:

    1. Anzuini Alessio, 2022. "The non-linear effects of the Fed asset purchases," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(2), pages 205-218, April.

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    More about this item

    Keywords

    Threshold Vector Autoregression; carry trade;

    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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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