IDEAS home Printed from https://ideas.repec.org/a/nea/journl/y2011i12p41-76.html
   My bibliography  Save this article

Experience in Developing Early Warning System for Financial Crises and the Forecast of Russian Banking Sector Dynamic in 2012

Author

Listed:
  • Solntsev, O.

    (Center for Macroeconomic Analysis and Short-Term Forecasting (CMASF), Moscow, Russia)

  • Mamonov, M.

    (Center for Macroeconomic Analysis and Short-Term Forecasting (CMASF), Moscow, Russia)

  • Pestova, A.

    (Center for Macroeconomic Analysis and Short-Term Forecasting (CMASF), Moscow, Russia)

  • Magomedova, Z.

    (Center for Macroeconomic Analysis and Short-Term Forecasting (CMASF), Moscow, Russia)

Abstract

The article summarizes the key results of researches in the field of early warning systems for financial crises, conducted by the Center for Macroeconomic Analysis and Short-Term Forecasting (CMASF) since 2005. The proposed early warning system consists of three major blocks: the leading indicators of certain types of risks and the composite leading indicator of a systemic banking crisis; the medium-term scenario forecasting of key macroeconomic and financial indicators; stress testing of credit and liquidity risks of banks. On the basis of this early warning system we estimate the risks of financial crisis and some kinds of systemic risks in the different scenarios for the Russian economy in 2012. The analysis, in particular, revealed a sensitivity threshold of the domestic financial sector to changes in the world oil prices. Furthermore, it was found that the greatest destabilizing effect on the Russian financial sector may be caused by systemic credit risk.

Suggested Citation

  • Solntsev, O. & Mamonov, M. & Pestova, A. & Magomedova, Z., 2011. "Experience in Developing Early Warning System for Financial Crises and the Forecast of Russian Banking Sector Dynamic in 2012," Journal of the New Economic Association, New Economic Association, issue 12, pages 41-76.
    • Handle: RePEc:nea:journl:y:2011:i:12:p:41-76
    as

    Download full text from publisher

    File URL: http://www.econorus.org/repec/journl/2011-12-41-76r.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Glenn Hoggarth & Steffen Sorensen & Lea Zicchino, 2005. "Stress tests of UK banks using a VAR approach," Bank of England working papers 282, Bank of England.
    2. Peng, Duan & Bajona, Claustre, 2008. "China's vulnerability to currency crisis: A KLR signals approach," China Economic Review, Elsevier, vol. 19(2), pages 138-151, June.
    3. Mr. Raphael A Espinoza & Mr. Ananthakrishnan Prasad, 2010. "Nonperforming Loans in the GCC Banking System and their Macroeconomic Effects," IMF Working Papers 2010/224, International Monetary Fund.
    4. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    5. Klaus Abberger & Wolfgang Nierhaus & Shynar Shaikh, 2009. "Findings of the Signal Approach for Financial Monitoring in Kazakhstan," CESifo Working Paper Series 2774, CESifo.
    6. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    7. Rajkamal Iyer & Manju Puri, 2012. "Understanding Bank Runs: The Importance of Depositor-Bank Relationships and Networks," American Economic Review, American Economic Association, vol. 102(4), pages 1414-1445, June.
    8. Bussiere, Matthieu & Fratzscher, Marcel, 2006. "Towards a new early warning system of financial crises," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 953-973, October.
    9. Gabriel Jiménez & Jesús Saurina, 2006. "Credit Cycles, Credit Risk, and Prudential Regulation," International Journal of Central Banking, International Journal of Central Banking, vol. 2(2), May.
    10. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    11. repec:zbw:bofitp:2011_002 is not listed on IDEAS
    12. repec:zbw:bofrdp:2004_018 is not listed on IDEAS
    13. repec:zbw:bofrdp:2007_015 is not listed on IDEAS
    14. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    15. M. Mamonov & A. Pestova & O. Solntsev., 2011. "Cash Cult in Russia: How to Debunk It and What Will Be the Consequences?," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 7.
    16. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    17. Miss Rita Babihuga, 2007. "Macroeconomic and Financial Soundness Indicators: An Empirical Investigation," IMF Working Papers 2007/115, International Monetary Fund.
    18. Demirguc-Kunt, Asli & Detragiache, Enrica, 1997. "The determinants of banking crises : evidence from industrial and developing countries," Policy Research Working Paper Series 1828, The World Bank.
    19. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    20. Asli Demirgüç-Kunt & Ms. Enrica Detragiache, 1997. "The Determinants of Banking Crises: Evidence From Developing and Developed Countries," IMF Working Papers 1997/106, International Monetary Fund.
    21. Marco Lo Duca & Tuomas Peltonen, 2011. "Macrofinancial vulnerabilities and future financial stress: assessing systemic risks and predicting systemic events," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential regulation and policy, volume 60, pages 82-88, Bank for International Settlements.
    22. Mario Quagliariello, 2007. "Banks' riskiness over the business cycle: a panel analysis on Italian intermediaries," Applied Financial Economics, Taylor & Francis Journals, vol. 17(2), pages 119-138.
    23. Mr. Fabian Valencia & Mr. Luc Laeven, 2008. "Systemic Banking Crises: A New Database," IMF Working Papers 2008/224, International Monetary Fund.
    24. Asli Demirgüç-Kunt & Enrica Detragiache, 2005. "Cross-Country Empirical Studies of Systemic Bank Distress: A Survey," National Institute Economic Review, National Institute of Economic and Social Research, vol. 192(1), pages 68-83, April.
    25. Maechler, Andrea M. & McDill, Kathleen M., 2006. "Dynamic depositor discipline in US banks," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 1871-1898, July.
    26. Chernykh, Lucy & Cole, Rebel A., 2011. "Does deposit insurance improve financial intermediation? Evidence from the Russian experiment," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 388-402, February.
    27. Jacobson, Tor & Linde, Jesper & Roszbach, Kasper, 2005. "Exploring interactions between real activity and the financial stance," Journal of Financial Stability, Elsevier, vol. 1(3), pages 308-341, April.
    28. De Graeve, Ferre & Karas, Alexei, 2010. "Identifying VARs through Heterogeneity: An Application to Bank Runs," Working Paper Series 244, Sveriges Riksbank (Central Bank of Sweden).
    29. Mr. Mark Swinburne & Stéphanie Marie Stolz & Ms. Marina Moretti, 2008. "Stress Testing at the IMF," IMF Working Papers 2008/206, International Monetary Fund.
    30. Quagliariello,Mario (ed.), 2009. "Stress-testing the Banking System," Cambridge Books, Cambridge University Press, number 9780521767309.
    31. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    32. Demirguc-Kunt, Asli & Huizinga, Harry, 2004. "Market discipline and deposit insurance," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 375-399, March.
    33. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    34. Cardarelli, Roberto & Elekdag, Selim & Lall, Subir, 2011. "Financial stress and economic contractions," Journal of Financial Stability, Elsevier, vol. 7(2), pages 78-97, June.
    35. Vicente Salas & Jesús Saurina, 2002. "Credit Risk in Two Institutional Regimes: Spanish Commercial and Savings Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 22(3), pages 203-224, December.
    36. Davis, E. Philip & Karim, Dilruba, 2008. "Comparing early warning systems for banking crises," Journal of Financial Stability, Elsevier, vol. 4(2), pages 89-120, June.
    37. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    38. International Monetary Fund, 1998. "Leading Indicators of Banking Crises: Was Asia Different?," IMF Working Papers 1998/091, International Monetary Fund.
    39. Marco Sorge, 2004. "Stress-testing financial systems: an overview of current methodologies," BIS Working Papers 165, Bank for International Settlements.
    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. Agata Lozinskaia & Anastasiia Saltykova, 2019. "Fundamental Factors Affecting The Moex Russia Index: Structural Break Detection In A Long-Term Time Series," HSE Working papers WP BRP 77/FE/2019, National Research University Higher School of Economics.
    2. Mamonov, Mikhail, 2012. "The impact of market power of Russian banks on their credit risk tolerance: A panel study," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 85-112.
    3. Karminsky, A. & Dyachkova, N., 2020. "Empirical study of the relationship between credit cycles and changes in credit ratings," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 138-160.
    4. Belousova, Veronika & Karminsky, Alexander & Kozyr, Ilya, 2018. "The macroeconomic and institutional determinants of the profit efficiency frontier for Russian banks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 91-114.
    5. Mikhail E. MAMONOV, Anna A. PESTOVA, Vera PANKOVA, Renat Akhmetov, 2020. "Digital Transformation of Capital Market Infrastructure [Цифровая Трансформация Инфраструктуры Рынка Капитала]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 130-159, 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. Tagkalakis, Athanasios, 2013. "The effects of financial crisis on fiscal positions," European Journal of Political Economy, Elsevier, vol. 29(C), pages 197-213.
    2. Schou-Zibell, Lotte & Albert, Jose Ramon & Song, Lei Lei, 2010. "A Macroprudential Framework for Monitoring and Examining Financial Soundness," Working Papers on Regional Economic Integration 43, Asian Development Bank.
    3. Claudio Borio & Mathias Drehmann, 2011. "Toward an Operational Framework for Financial Stability: “Fuzzy” Measurement and Its Consequences," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Alfaro (ed.),Financial Stability, Monetary Policy, and Central Banking, edition 1, volume 15, chapter 4, pages 063-123, Central Bank of Chile.
    4. Mr. Rodolfo Maino & Mr. Kalin I Tintchev, 2012. "From Stress to Costress: Stress Testing Interconnected Banking Systems," IMF Working Papers 2012/053, International Monetary Fund.
    5. Jan Babecky & Tomas Havranek & Jakub Mateju & Marek Rusnak & Katerina Smidkova & Borek Vasicek, 2011. "Early Warning Indicators of Economic Crises: Evidence from a Panel of 40 Developed Countries," Working Papers 2011/08, Czech National Bank.
    6. Babecký, Jan & Havránek, Tomáš & Matějů, Jakub & Rusnák, Marek & Šmídková, Kateřina & Vašíček, Bořek, 2013. "Leading indicators of crisis incidence: Evidence from developed countries," Journal of International Money and Finance, Elsevier, vol. 35(C), pages 1-19.
    7. Samargandi, Nahla & Fidrmuc, Jan & Ghosh, Sugata, 2015. "Is the Relationship Between Financial Development and Economic Growth Monotonic? Evidence from a Sample of Middle-Income Countries," World Development, Elsevier, vol. 68(C), pages 66-81.
    8. Castro, Vítor, 2013. "Macroeconomic determinants of the credit risk in the banking system: The case of the GIPSI," Economic Modelling, Elsevier, vol. 31(C), pages 672-683.
    9. Diana Zigraiova & Petr Jakubik, 2014. "Systemic Event Prediction by Early Warning System," Working Papers IES 2014/01, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2014.
    10. Gulati, Rachita & Goswami, Anju & Kumar, Sunil, 2019. "What drives credit risk in the Indian banking industry? An empirical investigation," Economic Systems, Elsevier, vol. 43(1), pages 42-62.
    11. Karatas, B., 2014. "Financial crisis and monetary policy," Other publications TiSEM 41e463f0-e122-4379-8db5-6, Tilburg University, School of Economics and Management.
    12. Maria Kasselaki & Athanasios Tagkalakis, 2014. "Financial soundness indicators and financial crisis episodes," Annals of Finance, Springer, vol. 10(4), pages 623-669, November.
    13. Filippopoulou, Chryssanthi & Galariotis, Emilios & Spyrou, Spyros, 2020. "An early warning system for predicting systemic banking crises in the Eurozone: A logit regression approach," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 344-363.
    14. Hamdaoui, Mekki, 2016. "Are systemic banking crises in developed and developing countries predictable?," Journal of Multinational Financial Management, Elsevier, vol. 37, pages 114-138.
    15. Florian Manz, 2019. "Determinants of non-performing loans: What do we know? A systematic review and avenues for future research," Management Review Quarterly, Springer, vol. 69(4), pages 351-389, November.
    16. Vašíček, Bořek & Žigraiová, Diana & Hoeberichts, Marco & Vermeulen, Robert & Šmídková, Kateřina & de Haan, Jakob, 2017. "Leading indicators of financial stress: New evidence," Journal of Financial Stability, Elsevier, vol. 28(C), pages 240-257.
    17. Abdilahi Ali & Katsushi S. Imai, 2015. "Editor's choice Crises, Economic Integration and Growth Collapses in African Countries," Journal of African Economies, Centre for the Study of African Economies, vol. 24(4), pages 471-501.
    18. Zigraiova, Diana & Jakubik, Petr, 2015. "Systemic event prediction by an aggregate early warning system: An application to the Czech Republic," Economic Systems, Elsevier, vol. 39(4), pages 553-576.
    19. Erdinç, Didar & Abazi, Eda, 2014. "The Determinants of NPLs in Emerging Europe, 2000-2011," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 1(2), pages 112-125.
    20. Ahlem Selma Messai & Fathi Jouini, 2013. "Micro and Macro Determinants of Non-performing Loan," International Journal of Economics and Financial Issues, Econjournals, vol. 3(4), pages 852-860.

    More about this item

    Keywords

    systemic financial crises; credit risks; liquidity risks; currency risks; early warning system; leading indicators; stress testing;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises

    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:nea:journl:y:2011:i:12:p:41-76. 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: Alexey Tcharykov (email available below). General contact details of provider: https://edirc.repec.org/data/nearuea.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.