IDEAS home Printed from https://ideas.repec.org/a/eee/ememar/v3y2002i1p31-50.html
   My bibliography  Save this article

Predicting bank failures using a hazard model: the Venezuelan banking crisis

Author

Listed:
  • Molina, Carlos A.

Abstract

No abstract is available for this item.

Suggested Citation

  • Molina, Carlos A., 2002. "Predicting bank failures using a hazard model: the Venezuelan banking crisis," Emerging Markets Review, Elsevier, vol. 3(1), pages 31-50, March.
    • Handle: RePEc:eee:ememar:v:3:y:2002:i:1:p:31-50
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1566-0141(01)00029-2
    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. Bandopadhyaya, Arindam, 1994. "An Estimation of the Hazard Rate of Firms under Chapter 11 Protection," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 346-350, May.
    2. Wheelock, David C & Wilson, Paul W, 1995. "Explaining Bank Failures: Deposit Insurance, Regulation, and Efficiency," The Review of Economics and Statistics, MIT Press, vol. 77(4), pages 689-700, November.
    3. Allen Berger & Sally Davies, 1998. "The Information Content of Bank Examinations," Journal of Financial Services Research, Springer;Western Finance Association, vol. 14(2), pages 117-144, October.
    4. Andrew Logan, 2001. "The United Kingdom's small banks' crisis of the early 1990s: what were the leading indicators of failure?," Bank of England working papers 139, Bank of England.
    5. Alicia García-Herrero, 2004. "Banking Crises in Latin America in the 1990s: Lessons from Argentina, Paraguay and Venezuela," International Economic Association Series, in: Enrique Bour & Daniel Heymann & Fernando Navajas (ed.), Latin American Economic Crises, chapter 3, pages 40-57, Palgrave Macmillan.
    6. R. Alton Gilbert & Andrew P. Meyer & Mark D. Vaughan, 2000. "The role of a CAMEL downgrade model in bank surveillance," Working Papers 2000-021, Federal Reserve Bank of St. Louis.
    7. Douglas A. Hensler & Ronald C. Rutherford & Thomas M. Springer, 1997. "The Survival Of Initial Public Offerings In The Aftermarket," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(1), pages 93-110, March.
    8. Li, Kai, 1999. "Bayesian analysis of duration models: an application to Chapter 11 bankruptcy," Economics Letters, Elsevier, vol. 63(3), pages 305-312, June.
    9. David C. Wheelock & Paul W. Wilson, 2000. "Why do Banks Disappear? The Determinants of U.S. Bank Failures and Acquisitions," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 127-138, February.
    10. Audretsch, David B & Mahmood, Talat, 1995. "New Firm Survival: New Results Using a Hazard Function," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 97-103, February.
    11. Robert DeYoung, 1998. "Management Quality and X-Inefficiency in National Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 13(1), pages 5-22, February.
    12. Morris, F. & Dorfman, M. & Ortiz, J.P. & Franco, M.C., 1990. "Latin America'S Banking Systems In The 1980s: A Cross- Country Comparison," World Bank - Discussion Papers 81, World Bank.
    13. Rebel Cole & Jeffery Gunther, 1998. "Predicting Bank Failures: A Comparison of On- and Off-Site Monitoring Systems," Journal of Financial Services Research, Springer;Western Finance Association, vol. 13(2), pages 103-117, April.
    14. Gary Whalen, 1991. "A proportional hazards model of bank failure: an examination of its usefulness as an early warning tool," Economic Review, Federal Reserve Bank of Cleveland, vol. 27(Q I), pages 21-31.
    15. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    16. Thomas J. Trebat, 1991. "The Banking System Crisis In Latin America," Contemporary Economic Policy, Western Economic Association International, vol. 9(1), pages 54-66, January.
    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. Ehab Zaki & Rahim Bah & Ananth Rao, 2011. "Assessing probabilities of financial distress of banks in UAE," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 7(3), pages 304-320, June.
    2. repec:zbw:bofitp:2013_002 is not listed on IDEAS
    3. Christophe Godlewski, 2004. "Modélisation de la Prévision de Défaillance Bancaire Une Application aux Banques des Pays Emergents," Finance 0409026, University Library of Munich, Germany.
    4. Christophe Godlewski, 2004. "Modélisation de la Prévision de Défaillance Bancaire et Facteurs Réglementaires Une Application aux Banques des Pays Emergents," Finance 0409027, University Library of Munich, Germany.
    5. Gutiérrez López, Cristina & Abad González, Julio, 2014. "¿Permitían los estados financieros predecir los resultados de los tests de estrés de la banca española? Una aplicación del modelo logit," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 17(1), pages 58-70.
    6. Sahut, Jean-Michel & Mili, Mehdi, 2011. "Banking distress in MENA countries and the role of mergers as a strategic policy to resolve distress," Economic Modelling, Elsevier, vol. 28(1), pages 138-146.
    7. Abdus Samad, 2018. "How Early Can Non-Performance Loan Predict Bank Failure? Evidence from US Bank Failure during 2008-2010," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 90-98, January.
    8. Cole, Rebel A. & Wu, Qiongbing, 2009. "Is hazard or probit more accurate in predicting financial distress? Evidence from U.S. bank failures," MPRA Paper 24688, University Library of Munich, Germany, revised 01 Aug 2010.
    9. Zuzana Fungacova & Ms. Rima A Turk & Laurent Weill, 2015. "High Liquidity Creation and Bank Failures: Do They Behave Differently?," IMF Working Papers 2015/103, International Monetary Fund.
    10. Daniel Porath, 2006. "Estimating probabilities of default for German savings banks and credit cooperatives," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 58(3), pages 214-233, July.
    11. Fungáčová, Zuzana & Turk-Ariss, Rima & Weill, Laurent, 2013. "Does excessive liquidity creation trigger bank failures?," BOFIT Discussion Papers 2/2013, Bank of Finland, Institute for Economies in Transition.
    12. Konstandina Natalia, 2006. "Probability of Bank Failure: The Russian Case," EERC Working Paper Series 06-01e, EERC Research Network, Russia and CIS.
    13. Demyanyk, Yuliya & Hasan, Iftekhar, 2010. "Financial crises and bank failures: A review of prediction methods," Omega, Elsevier, vol. 38(5), pages 315-324, October.
    14. Maghyereh, Aktham I. & Awartani, Basel, 2014. "Bank distress prediction: Empirical evidence from the Gulf Cooperation Council countries," Research in International Business and Finance, Elsevier, vol. 30(C), pages 126-147.
    15. Meral Varish Kiefer, 2014. "Bank failures and mergers in Turkey: 1992-2014," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 2(5), pages 31-49, October.
    16. repec:zbw:bofrdp:2009_035 is not listed on IDEAS
    17. Yulita Wulandari & Musdholifah & Suhal Kusairi, 2017. "The Impact of Macroeconomic and Internal Factors on Banking Distress," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 429-436.

    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. Pavlos Almanidis & Robin C. Sickles, 2016. "Banking Crises, Early Warning Models, and Efficiency," International Series in Operations Research & Management Science, in: Juan Aparicio & C. A. Knox Lovell & Jesus T. Pastor (ed.), Advances in Efficiency and Productivity, chapter 0, pages 331-364, Springer.
    2. Papanikolaou, Nikolaos I., 2018. "To be bailed out or to be left to fail? A dynamic competing risks hazard analysis," Journal of Financial Stability, Elsevier, vol. 34(C), pages 61-85.
    3. Guo Li & Lee Sanning & Sherrill Shaffer, 2009. "Statistical opacity in the US banking sector," CAMA Working Papers 2009-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Cole, Rebel A. & Wu, Qiongbing, 2009. "Is hazard or probit more accurate in predicting financial distress? Evidence from U.S. bank failures," MPRA Paper 24688, University Library of Munich, Germany, revised 01 Aug 2010.
    5. Sanchez González, Jim & Restrepo-Tobón, Diego & Ramírez Hassan, Andrés, 2021. "Inefficiency and bank failure: A joint Bayesian estimation method of stochastic frontier and hazards models," Economic Modelling, Elsevier, vol. 95(C), pages 344-360.
    6. Fabrizio Ferriani & Wanda Cornacchia & Paolo Farroni & Eliana Ferrara & Francesco Guarino & Francesco Pisanti, 2019. "An early warning system for less significant Italian banks," Questioni di Economia e Finanza (Occasional Papers) 480, Bank of Italy, Economic Research and International Relations Area.
    7. David C. Wheelock & Paul W. Wilso, 2005. "The Contribution of On‐Site Examination Ratings to an Empirical Model of Bank Failures," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 4(4), pages 110-133, April.
    8. Thomas B. King & Daniel A. Nuxoll & Timothy J. Yeager, 2006. "Are the causes of bank distress changing? can researchers keep up?," Review, Federal Reserve Bank of St. Louis, vol. 88(Jan), pages 57-80.
    9. Cullen F. Goenner, 2020. "Uncertain times and early predictions of bank failure," The Financial Review, Eastern Finance Association, vol. 55(4), pages 583-601, November.
    10. Ando, Tomohiro, 2009. "Bayesian inference for the hazard term structure with functional predictors using Bayesian predictive information criteria," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1925-1939, April.
    11. Anca Podpiera & Jiri Podpiera, 2005. "Deteriorating Cost Efficiency in Commercial Banks Signals an Increasing Risk of Failure," Working Papers 2005/06, Czech National Bank.
    12. Maria Heui-Yeong Kim & Shiguang Ma & Yanran Annie Zhou, 2016. "Survival prediction of distressed firms: evidence from the Chinese special treatment firms," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(3), pages 418-443, July.
    13. Koresh Galil & Margalit Samuel & Offer Moshe Shapir & Wolf Wagner, 2023. "Bailouts and the modeling of bank distress," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(1), pages 7-30, February.
    14. Gogas, Periklis & Papadimitriou, Theophilos & Agrapetidou, Anna, 2018. "Forecasting bank failures and stress testing: A machine learning approach," International Journal of Forecasting, Elsevier, vol. 34(3), pages 440-455.
    15. Francis, William, 2014. "UK deposit-taker responses to the financial crisis: what are the lessons?," Bank of England working papers 501, Bank of England.
    16. Duffie, Darrell & Saita, Leandro & Wang, Ke, 2007. "Multi-period corporate default prediction with stochastic covariates," Journal of Financial Economics, Elsevier, vol. 83(3), pages 635-665, March.
    17. Sun, Junjie & Wu, Deming & Zhao, Xinlei, 2018. "Systematic risk factors and bank failures," Journal of Economics and Business, Elsevier, vol. 98(C), pages 1-18.
    18. Maghyereh, Aktham I. & Awartani, Basel, 2014. "Bank distress prediction: Empirical evidence from the Gulf Cooperation Council countries," Research in International Business and Finance, Elsevier, vol. 30(C), pages 126-147.
    19. Fungáčová, Zuzana & Turk-Ariss, Rima & Weill, Laurent, 2013. "Does excessive liquidity creation trigger bank failures?," BOFIT Discussion Papers 2/2013, Bank of Finland Institute for Emerging Economies (BOFIT).
    20. Kay Giesecke & Baeho Kim, 2011. "Systemic Risk: What Defaults Are Telling Us," Management Science, INFORMS, vol. 57(8), pages 1387-1405, August.

    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:ememar:v:3:y:2002:i:1:p:31-50. 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/inca/620356 .

    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.