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Local Currency Bond Risk Premia of Emerging Markets: The Role of Local and Global Factors

Author

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  • Oguzhan Cepni

    (Central Bank of the Republic of Turkey, Anafartalar Mah. Istiklal Cad. No:10 06050, Ankara, Turkey)

  • Selcuk Gul

    (Central Bank of the Republic of Turkey, Anafartalar Mah. Istiklal Cad. No:10 06050, Ankara, Turkey)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Pretoria, South Africa)

Abstract

This paper investigates the sources of variation in emerging market (EM) local currency bond risk premium. Empirical results suggest that both global and local factors contain valuable information in explaining the local currency bond excess returns. We show that economic policy uncertainty causes the excess bond returns to increase while positive innovations in the term spread, CP factor and implied FX volatility have downward impacts on the excess returns. Besides, the high level of spillover from developed markets to EMs may confine the diversification benefits from holding EM local currency bonds.

Suggested Citation

  • Oguzhan Cepni & Selcuk Gul & Rangan Gupta, 2019. "Local Currency Bond Risk Premia of Emerging Markets: The Role of Local and Global Factors," Working Papers 201901, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201901
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
    3. Miyajima, Ken & Mohanty, M.S. & Chan, Tracy, 2015. "Emerging market local currency bonds: Diversification and stability," Emerging Markets Review, Elsevier, vol. 22(C), pages 126-139.
    4. John H. Cochrane & Monika Piazzesi, 2005. "Bond Risk Premia," American Economic Review, American Economic Association, vol. 95(1), pages 138-160, March.
    5. Michael R. M. Abrigo & Inessa Love, 2016. "Estimation of panel vector autoregression in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 778-804, September.
    6. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    7. Domenico Giannone & Lucrezia Reichlin & David H. Small, 2005. "Nowcasting GDP and inflation: the real-time informational content of macroeconomic data releases," Finance and Economics Discussion Series 2005-42, Board of Governors of the Federal Reserve System (U.S.).
    8. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    9. Sydney C. Ludvigson & Serena Ng, 2009. "Macro Factors in Bond Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5027-5067, December.
    10. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    11. Pericoli, Marcello & Taboga, Marco, 2012. "Bond risk premia, macroeconomic fundamentals and the exchange rate," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 42-65.
    12. Domenico Giannone & Lucrezia Reichlin & David Small, 2008. "Nowcasting: the real time informational content of macroeconomic data releases," ULB Institutional Repository 2013/6409, ULB -- Universite Libre de Bruxelles.
    13. Zhu, Xiaoneng, 2015. "Out-of-sample bond risk premium predictions: A global common factor," Journal of International Money and Finance, Elsevier, vol. 51(C), pages 155-173.
    14. Cheng, Chak Hung Jack, 2017. "Effects of foreign and domestic economic policy uncertainty shocks on South Korea," Journal of Asian Economics, Elsevier, vol. 51(C), pages 1-11.
    15. Michael R.M. Abrigo & Inessa Love, 2016. "Estimation of Panel Vector Autoregression in Stata: a Package of Programs," Working Papers 201602, University of Hawaii at Manoa, Department of Economics.
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    Cited by:

    1. Noureddine Benlagha & Wael Hemrit, 2022. "Does economic policy uncertainty matter to explain connectedness within the international sovereign bond yields?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 1-21, January.
    2. Balcilar, Mehmet & Usman, Ojonugwa & Gungor, Hasan & Roubaud, David & Wohar, Mark E., 2021. "Role of global, regional, and advanced market economic policy uncertainty on bond spreads in emerging markets," Economic Modelling, Elsevier, vol. 102(C).
    3. Oguzhan Cepni & Rangan Gupta & I. Ethem Güney & M. Yilmaz, 2020. "Forecasting local currency bond risk premia of emerging markets: The role of cross‐country macrofinancial linkages," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 966-985, September.
    4. Lien, Donald & Zhang, Jiewen & Yu, Xiaojian, 2022. "Effects of economic policy uncertainty: A regime switching connectedness approach," Economic Modelling, Elsevier, vol. 113(C).
    5. Ge, Futing & Zhang, Weiguo, 2022. "The determinants of cross-border bond risk premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).

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    More about this item

    Keywords

    Local currency bond risk premium; Dynamic factor model; Emerging markets; panel VAR;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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