IDEAS home Printed from https://ideas.repec.org/h/bis/bisbpc/102-11.html
   My bibliography  Save this book chapter

Local currency bond returns in emerging market economies and the role of foreign investors

In: Asia-Pacific fixed income markets: evolving structure, participation and pricing

Author

Listed:
  • Inhwan So
  • Giorgio Valente
  • Jason Wu

Abstract

Foreign investors play a key role in sovereign bond markets in emerging market economies (EMEs), in part because their portfolio flows are sensitive to bond returns and are therefore pro-cyclical in nature. This note discusses the implications of the framework proposed by So et al (2019), which incorporates the risk that arises from the portfolio performance and flows of actively managed bond funds. When the framework is applied to the data, using local currency sovereign bonds of 16 EMEs, preliminary calculations show that local currency sovereign bonds that positively covary with the returns of active funds receive risk premia as compensations for active fund risk. Furthermore, and in line with theory, the price of this risk increases when bond funds experience outflows and the exposure to active funds risk increases with the heightened price of risk. This double effect helps explain why spikes in returns of some EME local currency bonds can be especially large. These results demonstrate how the portfolio performance and flows of actively managed funds help transmit shocks across EMEs.

Suggested Citation

  • Inhwan So & Giorgio Valente & Jason Wu, 2019. "Local currency bond returns in emerging market economies and the role of foreign investors," BIS Papers chapters, in: Bank for International Settlements (ed.), Asia-Pacific fixed income markets: evolving structure, participation and pricing, volume 102, pages 83-91, Bank for International Settlements.
  • Handle: RePEc:bis:bisbpc:102-11
    as

    Download full text from publisher

    File URL: https://www.bis.org/publ/bppdf/bispap102_i.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dimitri Vayanos & Paul Woolley, 2013. "An Institutional Theory of Momentum and Reversal," The Review of Financial Studies, Society for Financial Studies, vol. 26(5), pages 1087-1145.
    2. Goldstein, Itay & Jiang, Hao & Ng, David T., 2017. "Investor flows and fragility in corporate bond funds," Journal of Financial Economics, Elsevier, vol. 126(3), pages 592-613.
    3. Agur, Itai & Chan, Melissa & Goswami, Mangal & Sharma, Sunil, 2019. "On international integration of emerging sovereign bond markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 347-363.
    4. Mr. Serkan Arslanalp & Mr. Takahiro Tsuda, 2014. "Tracking Global Demand for Emerging Market Sovereign Debt," IMF Working Papers 2014/039, International Monetary Fund.
    5. Shanken, Jay, 1990. "Intertemporal asset pricing : An Empirical Investigation," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 99-120.
    6. Petkova, Ralitsa & Zhang, Lu, 2005. "Is value riskier than growth?," Journal of Financial Economics, Elsevier, vol. 78(1), pages 187-202, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ang, Andrew & Kristensen, Dennis, 2012. "Testing conditional factor models," Journal of Financial Economics, Elsevier, vol. 106(1), pages 132-156.
    2. Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2019. "A diagnostic criterion for approximate factor structure," Journal of Econometrics, Elsevier, vol. 212(2), pages 503-521.
    3. repec:gnv:wpaper:unige:76321 is not listed on IDEAS
    4. Roussanov, Nikolai, 2014. "Composition of wealth, conditioning information, and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 111(2), pages 352-380.
    5. Kathrin Tauscher & Martin Wallmeier, 2016. "Portfolio Overlapping Bias in Tests of the Fama–French Three†Factor Model," European Financial Management, European Financial Management Association, vol. 22(3), pages 367-393, June.
    6. Ang, Andrew & Chen, Joseph, 2007. "CAPM over the long run: 1926-2001," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 1-40, January.
    7. Cooper, Michael J. & Gubellini, Stefano, 2011. "The critical role of conditioning information in determining if value is really riskier than growth," Journal of Empirical Finance, Elsevier, vol. 18(2), pages 289-305, March.
    8. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "Time‐Varying Risk Premium in Large Cross‐Sectional Equity Data Sets," Econometrica, Econometric Society, vol. 84, pages 985-1046, May.
    9. Li, Yan & Yang, Liyan, 2011. "Testing conditional factor models: A nonparametric approach," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 972-992.
    10. Lewellen, Jonathan & Nagel, Stefan, 2006. "The conditional CAPM does not explain asset-pricing anomalies," Journal of Financial Economics, Elsevier, vol. 82(2), pages 289-314, November.
    11. Azamat Abdymomunov & James Morley, 2011. "Time variation of CAPM betas across market volatility regimes," Applied Financial Economics, Taylor & Francis Journals, vol. 21(19), pages 1463-1478.
    12. Christos Argyropoulos & Bertrand Candelon & Jean‐Baptiste Hasse & Ekaterini Panopoulou, 2024. "Towards a macroprudential regulatory framework for mutual funds?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3063-3082, July.
    13. Massa, Massimo & O'Donovan, James & Zhang, Hong, 2022. "International asset pricing with strategic business groups1," Journal of Financial Economics, Elsevier, vol. 145(2), pages 339-361.
    14. Tuijp, Patrick, 2016. "The pricing of illiquidity and illiquid assets : Essays on empirical asset pricing," Other publications TiSEM cc548ebe-e34d-44c7-ac7c-a, Tilburg University, School of Economics and Management.
    15. Mathijs Cosemans & Rik Frehen & Peter C. Schotman & Rob Bauer, 2016. "Estimating Security Betas Using Prior Information Based on Firm Fundamentals," The Review of Financial Studies, Society for Financial Studies, vol. 29(4), pages 1072-1112.
    16. Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2019. "Estimation of large dimensional conditional factor models in finance," Working Papers unige:125031, University of Geneva, Geneva School of Economics and Management.
    17. Phoebe Koundouri & Nikolaos Kourogenis & Nikitas Pittis & Panagiotis Samartzis, 2016. "Factor Models of Stock Returns: GARCH Errors versus Time‐Varying Betas," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(5), pages 445-461, August.
    18. Corradi, Valentina & Distaso, Walter & Fernandes, Marcelo, 2013. "Conditional alphas and realized betas," Textos para discussão 341, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    19. Kang, Hankil & Kang, Jangkoo & Lee, Changjun, 2013. "Do the production-based factors capture the time-varying patterns in stock returns?," Emerging Markets Review, Elsevier, vol. 15(C), pages 122-135.
    20. Ferson, Wayne E. & Sarkissian, Sergei & Simin, Timothy, 2008. "Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(2), pages 331-353, June.
    21. Kizys, Renatas & Pierdzioch, Christian, 2011. "The changing sensitivity of realized portfolio betas to U.S. output growth: An analysis based on real-time data," Journal of Economics and Business, Elsevier, vol. 63(3), pages 168-186, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bis:bisbpc:102-11. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Martin Fessler (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.