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Why Are Exchange Rates So Smooth? A Household Finance Explanation

Author

Listed:
  • YiLi Chien

    (Federal Reserve Bank of St. Louis)

  • Hanno Lustig

    (Stanford Graduate School of Business)

  • Kanda Naknoi

    (University of Connecticut)

Abstract

Empirical moments of asset prices and exchange rates imply that pricing kernels have to be almost perfectly correlated across countries. If they are not, observed real exchange rates are too smooth to be consistent with high Sharpe ratios in asset markets. However, the cross-country correlation of macro fundamentals is far from perfect. We reconcile these empirical facts in a two-country stochastic growth model with heterogeneous trading technologies for households and a home bias in consumption. In our model, only a small fraction of households actively participate in international risk sharing by frequently trading domestic and foreign equities. These active traders, who induce high cross-country correlation to the pricing kernels, are the marginal investors in foreign exchange markets. In a calibrated version of our model, we show that this mechanism can quantitatively account for the excess smoothness of exchange rates in the presence of highly volatile pricing kernels and weakly correlated macro fundamentals.

Suggested Citation

  • YiLi Chien & Hanno Lustig & Kanda Naknoi, 2017. "Why Are Exchange Rates So Smooth? A Household Finance Explanation," Working papers 2017-20, University of Connecticut, Department of Economics.
  • Handle: RePEc:uct:uconnp:2017-20
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    References listed on IDEAS

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    Cited by:

    1. Maurer, Thomas & Tran, Ngoc-Khanh, 2021. "Entangled risks in incomplete FX markets," Journal of Financial Economics, Elsevier, vol. 142(1), pages 146-165.
    2. Shaojun Zhang, 2021. "Limited Risk Sharing and International Equity Returns," Journal of Finance, American Finance Association, vol. 76(2), pages 893-933, April.
    3. Curatola, Giuliano & Dergunov, Ilya, 2023. "International capital markets with interdependent preferences: Theory and empirical evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 403-421.
    4. Lustig, Hanno & Verdelhan, Adrien, 2016. "Does Incomplete Spanning in International Financial Markets Help to Explain Exchange Rates?," Research Papers 3412, Stanford University, Graduate School of Business.
    5. Mirela Sandulescu & Fabio Trojani & Andrea Vedolin, 2021. "Model‐Free International Stochastic Discount Factors," Journal of Finance, American Finance Association, vol. 76(2), pages 935-976, April.
    6. Hornstein, Abigail S. & Naknoi, Kanda, 2023. "FDI commitments increase when uncertainty is resolved: Evidence from Asia," Journal of Asian Economics, Elsevier, vol. 87(C).
    7. Anella Munro, 2016. "Bond premia, monetary policy and exchange rate dynamics," Reserve Bank of New Zealand Discussion Paper Series DP2016/11, Reserve Bank of New Zealand.

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    More about this item

    Keywords

    asset pricing; market segmentation; exchange rate; international risk sharing;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F10 - International Economics - - Trade - - - General

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