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Common Information in Carry Trade Risk Factors

Author

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  • Byrne, Joseph P
  • Ibrahim, Boulis Maher
  • Sakemoto, Ryuta

Abstract

Carry returns have been widely observed in the FX market. This study exploits the common information embedded in several factors previously identified as relevant to carry trade returns. We find that the extracted common factor successfully models the time series and cross-sectional characteristics of carry returns. Empirical evidence is presented that the common factor produces smaller pricing errors than other well known factors, such as innovations of exchange rate volatility and the downside stock market excess return. Our results also suggest that stock market risk is somewhat segmented from FX market risk.

Suggested Citation

  • Byrne, Joseph P & Ibrahim, Boulis Maher & Sakemoto, Ryuta, 2016. "Common Information in Carry Trade Risk Factors," MPRA Paper 75367, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:75367
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    Cited by:

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    3. Xiao, Jihong & Wang, Yudong, 2022. "Good oil volatility, bad oil volatility, and stock return predictability," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 953-966.
    4. Liu, Yiye & Han, Liyan & Wu, You & Yin, Libo, 2022. "Do terrorist attacks matter for currency excess returns?," Finance Research Letters, Elsevier, vol. 49(C).
    5. Qian Zhang & Kuo-Jui Wu & Ming-Lang Tseng, 2019. "Exploring Carry Trade and Exchange Rate toward Sustainable Financial Resources: An application of the Artificial Intelligence UKF Method," Sustainability, MDPI, vol. 11(12), pages 1-26, June.
    6. 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.
    7. Liu, Bing-Yue & Fan, Ying & Ji, Qiang & Hussain, Nazim, 2022. "High-dimensional CoVaR network connectedness for measuring conditional financial contagion and risk spillovers from oil markets to the G20 stock system," Energy Economics, Elsevier, vol. 105(C).

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    More about this item

    Keywords

    Currency Carry Trade; Risk Factor; Principal Components; Fama-MacBeth;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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