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Tails of Foreign Exchange-at-Risk (FEaR)

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  • Ostry, D. A.

Abstract

I build a model in which speculators unwind carry trades and hedgers fly to relatively liquid U.S. Treasuries during global financial disasters. The net effect of these flows produces an amplified U.S. dollar appreciation against high-yield currencies in disasters and a dampened depreciation, or even an appreciation, against low-yield ones. I verify this prediction by examining deviations from uncovered interest parity (UIP) within a novel quantile-regression framework. In the tail quantiles, I show that interest differentials predict high-yield currencies to suffer depreciations ten times as large as suggested by UIP, while spikes in Treasury liquidity premia meaningfully appreciate the dollar regardless of the U.S. relative interest rate. A complementary analysis of speculators' and hedgers' currency futures positions substantiates my model's mechanism and highlights that hedging agents imbue the U.S. dollar with its unique safe-haven status.

Suggested Citation

  • Ostry, D. A., 2023. "Tails of Foreign Exchange-at-Risk (FEaR)," Cambridge Working Papers in Economics 2343, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:2343
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    More about this item

    Keywords

    Disaster Risk; Exchange Rates; Liquidity Yields; Quantile regression; U.S. Safety;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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