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Expected currency returns and volatility risk premia

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  • Haas Ornelas, José Renato

Abstract

This paper addresses the predictive ability of currency volatility risk premium – the difference between an implied and a realized volatility – over US dollar exchange rates using a time series perspective. The intuition is that, when risk aversion sentiment increases, the market quickly discounts the currency, and later this discount is accrued, leading to a future currency appreciation. Based on two different samples with a diversified set of 30 currencies, I document a positive relationship between currency volatility risk premium and future currency returns. Results remain robust even after controlling for traditional fundamental predictors like Purchase Power Parity and interest rate differential.

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  • Haas Ornelas, José Renato, 2019. "Expected currency returns and volatility risk premia," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 206-234.
  • Handle: RePEc:eee:ecofin:v:49:y:2019:i:c:p:206-234
    DOI: 10.1016/j.najef.2019.03.015
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    Cited by:

    1. Chamizo, Álvaro & Novales, Alfonso, 2020. "Looking through systemic credit risk: Determinants, stress testing and market value," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    2. Alfonso Novales & Alvaro Chamizo, 2019. "Splitting Credit Risk into Systemic, Sectorial and Idiosyncratic Components," JRFM, MDPI, vol. 12(3), pages 1-33, August.
    3. Ornelas, José Renato Haas & Mauad, Roberto Baltieri, 2019. "Implied volatility term structure and exchange rate predictability," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1800-1813.
    4. José Renato Haas Ornelas & Roberto Baltieri Mauad, 2017. "Volatility risk premia and future commodities returns," BIS Working Papers 619, Bank for International Settlements.
    5. Lycheva, Maria & Mironenkov, Alexey & Kurbatskii, Alexey & Fantazzini, Dean, 2022. "Forecasting oil prices with penalized regressions, variance risk premia and Google data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 28-49.
    6. Ornelas, José Renato Haas & Mauad, Roberto Baltieri, 2019. "Volatility risk premia and future commodity returns," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 341-360.
    7. Marinela Adriana Finta & José Renato Haas Ornelas, 2018. "Commodity Return Predictability: evidence from implied variance, skewness and their risk premia and their risk premia," Working Papers Series 479, Central Bank of Brazil, Research Department.
    8. Gordon Schulze, 2021. "Carry Trade Returns and Segmented Risk Pricing," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 49(1), pages 23-40, March.
    9. Jaqueline Terra Moura Marins, 2020. "Option-Based Risk Aversion Indicators for Predicting Currency Crises in Emerging Markets," Working Papers Series 515, Central Bank of Brazil, Research Department.
    10. Finta, Marinela Adriana & Ornelas, José Renato Haas, 2022. "Commodity return predictability: Evidence from implied variance, skewness, and their risk premia☆☆," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).

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    More about this item

    Keywords

    Currency return predictability; Volatility risk premium;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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