IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v51y2006i2p1420-1441.html
   My bibliography  Save this article

Early warning systems for sovereign debt crises: The role of heterogeneity

Author

Listed:
  • Fuertes, Ana-Maria
  • Kalotychou, Elena

Abstract

No abstract is available for this item.

Suggested Citation

  • Fuertes, Ana-Maria & Kalotychou, Elena, 2006. "Early warning systems for sovereign debt crises: The role of heterogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1420-1441, November.
    • Handle: RePEc:eee:csdana:v:51:y:2006:i:2:p:1420-1441
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(06)00284-2
    Download Restriction: Full text for ScienceDirect subscribers only.

    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. Donkers, A.C.D. & Melenberg, B., 2002. "Testing predictive performance of binary choice models," Econometric Institute Research Papers EI 2002-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Oral, Muhittin & Kettani, Ossama & Cosset, Jean-Claude & Daouas, Mohamed, 1992. "An estimation model for country risk rating," International Journal of Forecasting, Elsevier, vol. 8(4), pages 583-593, December.
    3. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    4. Somerville, R. A. & Taffler, R. J., 1995. "Banker judgement versus formal forecasting models: The case of country risk assessment," Journal of Banking & Finance, Elsevier, vol. 19(2), pages 281-297, May.
    5. Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-565, October.
    6. Francis X. Diebold & Jose A. Lopez, 1995. "Forecast evaluation and combination," Research Paper 9525, Federal Reserve Bank of New York.
    7. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    8. Bekaert, Geert & Harvey, Campbell R. & Lundblad, Christian, 2005. "Does financial liberalization spur growth?," Journal of Financial Economics, Elsevier, vol. 77(1), pages 3-55, July.
    9. Sotiris Staikouras, 2004. "A chronicle of the banking and currency crises," Applied Economics Letters, Taylor & Francis Journals, vol. 11(14), pages 873-878.
    10. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    11. Fuertes, Ana-Maria & Kalotychou, Elena, 2007. "On sovereign credit migration: A study of alternative estimators and rating dynamics," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3448-3469, April.
    12. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521634809, May.
    13. Hajivassiliou, Vassilis A., 1987. "The external debt repayments problems of LDC's : An econometric model based on panel data," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 205-230.
    14. Amadou N Sy & Andrea Pescatori, 2004. "Debt Crises and the Development of International Capital Markets," IMF Working Papers 04/44, International Monetary Fund.
    15. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    16. Abhyankar, Abhay & Sarno, Lucio & Valente, Giorgio, 2005. "Exchange rates and fundamentals: evidence on the economic value of predictability," Journal of International Economics, Elsevier, vol. 66(2), pages 325-348, July.
    17. Axel Schimmelpfennig & Nouriel Roubini & Paolo Manasse, 2003. "Predicting Sovereign Debt Crises," IMF Working Papers 03/221, International Monetary Fund.
    18. Lopez, Jose A, 2001. "Evaluating the Predictive Accuracy of Volatility Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(2), pages 87-109, March.
    19. Richard Cantor & Frank Packer, 1996. "Determinants and impact of sovereign credit ratings," Economic Policy Review, Federal Reserve Bank of New York, issue Oct, pages 37-53.
    20. Jonathan Eaton & Mark Gersovitz, 1981. "Debt with Potential Repudiation: Theoretical and Empirical Analysis," Review of Economic Studies, Oxford University Press, vol. 48(2), pages 289-309.
    21. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
    22. Lee, Suk Hun, 1991. "Ability and willingness to service debt as explanation for commercial and official rescheduling cases," Journal of Banking & Finance, Elsevier, vol. 15(1), pages 5-27, February.
    23. Marcel Peter, 2002. "Estimating Default Probabilities of Emerging Market Sovereigns: A New Look at a Not-So-New Literature," IHEID Working Papers 06-2002, Economics Section, The Graduate Institute of International Studies.
    24. Burkart, Oliver & Coudert, Virginie, 2002. "Leading indicators of currency crises for emerging countries," Emerging Markets Review, Elsevier, vol. 3(2), pages 107-133, June.
    25. Enrica Detragiache & Antonio Spilimbergo, 2001. "Crises and Liquidity; Evidence and Interpretation," IMF Working Papers 01/2, International Monetary Fund.
    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. Dawood, Mary & Horsewood, Nicholas & Strobel, Frank, 2017. "Predicting sovereign debt crises: An Early Warning System approach," Journal of Financial Stability, Elsevier, vol. 28(C), pages 16-28.
    2. Sarlin, Peter, 2013. "On policymakers’ loss functions and the evaluation of early warning systems," Economics Letters, Elsevier, vol. 119(1), pages 1-7.
    3. Dieter Gerdesmeier & Hans‐Eggert Reimers & Barbara Roffia, 2010. "Asset Price Misalignments and the Role of Money and Credit," International Finance, Wiley Blackwell, vol. 13(3), pages 377-407, Winter.
    4. Bartolucci, Francesco & Nigro, Valentina, 2007. "Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3470-3483, April.
    5. Roberto Savona & Marika Vezzoli, 2015. "Fitting and Forecasting Sovereign Defaults using Multiple Risk Signals," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 66-92, February.
    6. Han-Hsing Lee & Kuanyu Shih & Kehluh Wang, 2016. "Measuring sovereign credit risk using a structural model approach," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1097-1128, November.
    7. Sarlin, Peter & Peltonen, Tuomas A., 2013. "Mapping the state of financial stability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 46-76.
    8. Bellini, Tiziano & Riani, Marco, 2012. "Robust analysis of default intensity," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3276-3285.
    9. Sarlin, Peter & Ramsay, Bruce A., 2014. "Ending over-lending : Assessing systemic risk with debt to cash flow," Research Discussion Papers 11/2014, Bank of Finland.
    10. Bi-Huei Tsai & Chih-Huei Chang, 2010. "Predicting Financial Distress Based on the Credit Cycle Index: A Two-Stage Empirical Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(3), pages 67-79, May.
    11. Selin Sayek & Fatma Taskin, 2014. "Financial crises: lessons from history for today," Economic Policy, CEPR;CES;MSH, vol. 29(79), pages 447-493, July.
    12. Bi-Huei Tsai & Chih-Huei Chang, 2010. "Predicting Financial Distress Based on the Credit Cycle Index: A Two-Stage Empirical Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(3), pages 67-79, May.
    13. Fuertes, Ana-Maria, 2008. "Sieve bootstrap t-tests on long-run average parameters," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3354-3370, March.
    14. Fantazzini, Dean, 2008. "Credit Risk Management," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 12(4), pages 84-137.
    15. Thangjam Rajeshwar Singh, 2011. "An ordered probit model of an early warning system for predicting financial crisis in India," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Initiatives to address data gaps revealed by the financial crisis", Basel, 25-26 August 2010, volume 34, pages 185-201 Bank for International Settlements.
    16. Alina Mihaela Dima & Simona Vasilache, 2016. "Credit Risk modeling for Companies Default Prediction using Neural Networks," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 127-143, September.
    17. Peltonen, Tuomas & Sarlin, Peter & Rancan, Michela, 2015. "Interconnectedness of the banking sector as a vulnerability to crises," Working Paper Series 1866, European Central Bank.
    18. Sarlin, Peter & Ramsay, Bruce A., 2015. "Ending over-lending: assessing systemic risk with debt to cash flow," Working Paper Series 1769, European Central Bank.

    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:eee:csdana:v:51:y:2006:i:2:p:1420-1441. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/csda .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.