IDEAS home Printed from https://ideas.repec.org/r/eee/ememar/v6y2005i4p376-395.html
   My bibliography  Save this item

Designing an early warning system for debt crises

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. Fink, Gerhard & Haiss, Peter & Oeberseder, Magdalena & Rainer, Wolfgang, 2007. "Dollar depreciation--Euro pain," Journal of Policy Modeling, Elsevier, vol. 29(5), pages 739-763.
  3. Sebastián Nieto-Parra, 2009. "Who Saw Sovereign Debt Crises Coming?," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2009), pages 125-169, August.
  4. Layal Mansour, 2013. "International Reserves versus External Debts : Can International reserves avoid future Financial Crisis in indebted Countries ?," Working Papers halshs-00864899, HAL.
  5. Gilles Dufrénot & Anne-Charlotte Paret-Onorato, 2016. "Power-Law Distribution in the Debt-to-Fiscal Revenue Ratio: Empirical Evidence and a Theoretical Model," Working Papers halshs-01357797, HAL.
  6. Maria Siranova & Karol Zelenak, 2023. "Every crisis does matter: Comparing the databases of financial crisis events," Review of International Economics, Wiley Blackwell, vol. 31(2), pages 652-686, May.
  7. Boonman, T.M. & Jacobs, J.P.A.M. & Kuper, G.H., 2013. "Sovereign debt crises in Latin America," Research Report 13016-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  8. Enderlein, Henrik & Trebesch, Christoph & von Daniels, Laura, 2012. "Sovereign debt disputes: A database on government coerciveness during debt crises," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 250-266.
  9. Xing Li & Xiangyu Ge & Cong Chen, 2022. "Several explorations on how to construct an early warning system for local government debt risk in China," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-27, February.
  10. Chung‐Hua Shen & Hsing‐Hua Hsu, 2022. "The determinants of Asian banking crises—Application of the panel threshold logit model," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 248-277, March.
  11. Lang, Michael & Schmidt, Paul G., 2016. "The early warnings of banking crises: Interaction of broad liquidity and demand deposits," Journal of International Money and Finance, Elsevier, vol. 61(C), pages 1-29.
  12. Mirjana Jemović & Srđan Marinković, 2021. "Determinants of financial crises—An early warning system based on panel logit regression," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 103-117, January.
  13. Yaseen Ghulam, 2025. "Examination and predictions of risk tolerance levels and thresholds in sovereigns’ external debt defaults," International Economics and Economic Policy, Springer, vol. 22(2), pages 1-52, May.
  14. Herrero, Alicia Garcia & Santos, Enestor Dos, 2009. "Comment," LSE Research Online Documents on Economics 123275, London School of Economics and Political Science, LSE Library.
  15. Tamás Kristóf, 2021. "Sovereign Default Forecasting in the Era of the COVID-19 Crisis," JRFM, MDPI, vol. 14(10), pages 1-24, October.
  16. Jelena Laušev & Aleksandar Stojanović & Nataša Todorović, 2011. "Determinants Of Debt Rescheduling In Eastern European Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 56(188), pages 7-31, January –.
  17. Moreno Badia, Marialuz & Medas, Paulo & Gupta, Pranav & Xiang, Yuan, 2022. "Debt is not free," Journal of International Money and Finance, Elsevier, vol. 127(C).
  18. Barbara Jarmulska, 2022. "Random forest versus logit models: Which offers better early warning of fiscal stress?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 455-490, April.
  19. Hlaing, Su Wah & Kakinaka, Makoto, 2018. "Financial crisis and financial policy reform: Crisis origins and policy dimensions," European Journal of Political Economy, Elsevier, vol. 55(C), pages 224-243.
  20. Bunda, Irina & Ca' Zorzi, Michele, 2010. "Signals from housing and lending booms," Emerging Markets Review, Elsevier, vol. 11(1), pages 1-20, March.
  21. Ciarlone, Alessio & Piselli, Paolo & Trebeschi, Giorgio, 2009. "Emerging markets' spreads and global financial conditions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(2), pages 222-239, April.
  22. Raffaele Marchi & Alessandro Moro, 2024. "Forecasting Fiscal Crises in Emerging Markets and Low-Income Countries with Machine Learning Models," Open Economies Review, Springer, vol. 35(1), pages 189-213, February.
  23. Ms. Svetlana Cerovic & Mrs. Kerstin Gerling & Andrew Hodge & Mr. Paulo A Medas, 2018. "Predicting Fiscal Crises," IMF Working Papers 2018/181, International Monetary Fund.
  24. Mekki Hamdaoui & SaifEddine Ayouni & Samir Maktouf, 2022. "Financial crises: explanation, prediction, and interdependence," SN Business & Economics, Springer, vol. 2(8), pages 1-52, August.
  25. Fu, Junhui & Zhou, Qingling & Liu, Yufang & Wu, Xiang, 2020. "Predicting stock market crises using daily stock market valuation and investor sentiment indicators," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
  26. Dufrénot, Gilles & Paret, Anne-Charlotte, 2019. "Power-law distribution in the external debt-to-fiscal revenue ratios: Empirical evidence and a theoretical model," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 341-359.
  27. Alessio Ciarlone & Giorgio Trebeschi, 2006. "A Multinomial Approach to Early Warning Systems for Debt Crises," Temi di discussione (Economic working papers) 588, Bank of Italy, Economic Research and International Relations Area.
  28. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.
  29. Fioramanti, Marco, 2008. "Predicting sovereign debt crises using artificial neural networks: A comparative approach," Journal of Financial Stability, Elsevier, vol. 4(2), pages 149-164, June.
  30. Jamshed Y. Uppal, 2017. "External Debt Management in Pakistan: A Market-Based Assessment," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 22(Special E), pages 25-51, September.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.