IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v196y2020ics016517652030344x.html
   My bibliography  Save this article

Limiting risk premia in EMEs: The role of FX reserves

Author

Listed:
  • Kohlscheen, E.

Abstract

Low debt and inflation, and higher growth reduce default risk. FX reserves do not matter for risk whenever CDS spreads are below the median. But higher FX buffers clearly reduce risk at the higher end of the sovereign risk spectrum.

Suggested Citation

  • Kohlscheen, E., 2020. "Limiting risk premia in EMEs: The role of FX reserves," Economics Letters, Elsevier, vol. 196(C).
  • Handle: RePEc:eee:ecolet:v:196:y:2020:i:c:s016517652030344x
    DOI: 10.1016/j.econlet.2020.109567
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S016517652030344X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2020.109567?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dominguez, Kathryn M.E. & Hashimoto, Yuko & Ito, Takatoshi, 2012. "International reserves and the global financial crisis," Journal of International Economics, Elsevier, vol. 88(2), pages 388-406.
    2. Joshua Aizenman & Nancy Marion, 2004. "International Reserve Holdings with Sovereign Risk and Costly Tax Collection," Economic Journal, Royal Economic Society, vol. 114(497), pages 569-591, July.
    3. Levy Yeyati, Eduardo, 2008. "The cost of reserves," Economics Letters, Elsevier, vol. 100(1), pages 39-42, July.
    4. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    5. Ben-Bassat, Avraham & Gottlieb, Daniel, 1992. "Optimal international reserves and sovereign risk," Journal of International Economics, Elsevier, vol. 33(3-4), pages 345-362, November.
    6. Jens Hilscher & Yves Nosbusch, 2010. "Determinants of Sovereign Risk: Macroeconomic Fundamentals and the Pricing of Sovereign Debt," Review of Finance, European Finance Association, vol. 14(2), pages 235-262.
    7. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    8. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731.
    9. Aizenman, Joshua & Pinto, Brian & Sushko, Vladyslav, 2013. "Financial sector ups and downs and the real sector in the open economy: Up by the stairs, down by the parachute," Emerging Markets Review, Elsevier, vol. 16(C), pages 1-30.
    10. Jonathan Eaton & Mark Gersovitz, 1981. "Debt with Potential Repudiation: Theoretical and Empirical Analysis," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(2), pages 289-309.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ahmed, Rashad & Aizenman, Joshua & Saadaoui, Jamel & Uddin, Gazi Salah, 2023. "On the effectiveness of foreign exchange reserves during the 2021-22 U.S. monetary tightening cycle," Economics Letters, Elsevier, vol. 233(C).
    2. Yawen Wang & Qing Wang & Zhaopeng Xing, 2022. "Climate Disaster Losses and Foreign Exchange Reserve Dynamics: Evidence of East Asia Pacific," Sustainability, MDPI, vol. 14(21), pages 1-15, November.

    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. Sula, Ozan, 2008. "Demand for International Reserves: A Quantile Regression Approach," MPRA Paper 11680, University Library of Munich, Germany.
    2. Sula, Ozan, 2011. "Demand for international reserves in developing nations: A quantile regression approach," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 764-777, September.
    3. Sula, Ozan & Oguzoglu, Umut, 2021. "International reserves and economic growth," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 16-28.
    4. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    5. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
    6. Joshua Aizenman & Brian Pinto, 2013. "Managing Financial Integration and Capital Mobility—Policy Lessons from the Past Two Decades," Review of International Economics, Wiley Blackwell, vol. 21(4), pages 636-653, September.
    7. Chowdhury, Biplob & Jeyasreedharan, Nagaratnam & Dungey, Mardi, 2018. "Quantile relationships between standard, diffusion and jump betas across Japanese banks," Journal of Asian Economics, Elsevier, vol. 59(C), pages 29-47.
    8. Jamal Bouoiyour & Refk Selmi, 2017. "The Bitcoin price formation: Beyond the fundamental sources," Working Papers hal-01548710, HAL.
    9. Wiji Arulampalam & Alison Booth & Mark Bryan, 2010. "Are there asymmetries in the effects of training on the conditional male wage distribution?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 251-272, January.
    10. Marrocu, Emanuela & Paci, Raffaele & Zara, Andrea, 2015. "Micro-economic determinants of tourist expenditure: A quantile regression approach," Tourism Management, Elsevier, vol. 50(C), pages 13-30.
    11. Jiang, Rong & Qian, Weimin & Zhou, Zhangong, 2012. "Variable selection and coefficient estimation via composite quantile regression with randomly censored data," Statistics & Probability Letters, Elsevier, vol. 82(2), pages 308-317.
    12. Micheline Goedhuys & Leo Sleuwaegen, 2010. "High-growth entrepreneurial firms in Africa: a quantile regression approach," Small Business Economics, Springer, vol. 34(1), pages 31-51, January.
    13. Luke B. Smith & Brian J. Reich & Amy H. Herring & Peter H. Langlois & Montserrat Fuentes, 2015. "Multilevel quantile function modeling with application to birth outcomes," Biometrics, The International Biometric Society, vol. 71(2), pages 508-519, June.
    14. Jooyong Shim & Changha Hwang & Kyung Seok, 2009. "Non-crossing quantile regression via doubly penalized kernel machine," Computational Statistics, Springer, vol. 24(1), pages 83-94, February.
    15. Guilherme Resende Oliveira & Benjamin Miranda Tabak & José Guilherme de Lara Resende & Daniel Oliveira Cajueiro, 2012. "Determinantes da Estrutura de Capital das Empresas Brasileiras: uma abordagem em regressão quantílica," Working Papers Series 272, Central Bank of Brazil, Research Department.
    16. Jesus regstdpo-Cuaresma & Neil Foster & Robert Stehrer, 2011. "Determinants of Regional Economic Growth by Quantile," Regional Studies, Taylor & Francis Journals, vol. 45(6), pages 809-826.
    17. Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 9(5), pages 123-128, August.
    18. Escanciano, J.C. & Goh, S.C., 2014. "Specification analysis of linear quantile models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 495-507.
    19. Gilles Dufrenot & Valerie Mignon & Charalambos Tsangarides, 2010. "The trade-growth nexus in the developing countries: a quantile regression approach," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(4), pages 731-761, December.
    20. Jean-Pierre Lachaud, 2010. "Dynamique des profits des micro-entreprises urbaines et genre à Madagascar. Une approche de régressions quantiles," Documents de travail 151, Groupe d'Economie du Développement de l'Université Montesquieu Bordeaux IV.

    More about this item

    Keywords

    Debt; Emerging markets; Fiscal policy; Sovereign risk; International reserves;
    All these keywords.

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F30 - International Economics - - International Finance - - - General
    • F40 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - General
    • H60 - Public Economics - - National Budget, Deficit, and Debt - - - General

    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:eee:ecolet:v:196:y:2020:i:c:s016517652030344x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.