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Forecasting Romanian Financial System Stability using a Stochastic Simulation Model


  • Claudiu Tiberiu Albulescu

    () (CRIEF, University of Poitiers)


The aim of this paper is to develop an aggregate stability index for the Romanian financial system, which is meant to enhance the set of analysis used by authorities to assess the financial system stability. The index takes into consideration indicators related to financial system development, vulnerability, soundness and also indicators which characterise the international economic climate. Another purpose of our study is to forecast the financial stability level, using a stochastic simulation model. The outcome of the study shows an improvement of the Romanian financial system stability during the period 1999-2007. The constructed aggregate index captures the financial turbulences periods like 1998-1999 Romanian banking crisis and 2007 subprime crisis. The forecasted values of the index show a deterioration of financial stability in 2009, influenced by the estimated decline of the financial and economic activity.

Suggested Citation

  • Claudiu Tiberiu Albulescu, 2009. "Forecasting Romanian Financial System Stability using a Stochastic Simulation Model," Working Papers 2009.4, International Network for Economic Research - INFER.
  • Handle: RePEc:inf:wpaper:2009.4

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    References listed on IDEAS

    1. 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.
    2. Jan Willem van den End, 2006. "Indicator and boundaries of financial stability," DNB Working Papers 097, Netherlands Central Bank, Research Department.
    3. Phillips, P.C.B., 1986. "Understanding spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 33(3), pages 311-340, December.
    4. Illing, Mark & Liu, Ying, 2006. "Measuring financial stress in a developed country: An application to Canada," Journal of Financial Stability, Elsevier, vol. 2(3), pages 243-265, October.
    5. Philippe D Karam & Douglas Hostland, 2006. "Specification of a Stochastic Simulation Model for Assessing Debt Sustainability in Emerging Market Economies," IMF Working Papers 06/268, International Monetary Fund.
    6. Michael D. Bordo & Michael J. Dueker & David C. Wheelock, 2002. "Aggregate Price Shocks and Financial Instability: A Historical Analysis," Economic Inquiry, Western Economic Association International, vol. 40(4), pages 521-538, October.
    7. Adam Gersl & Jaroslav Hermanek, 2007. "Financial Stability Indicators: Advantages and Disadvantages of their Use in the Assessment of Financial System Stability," Occasional Publications - Chapters in Edited Volumes,in: CNB Financial Stability Report 2006, chapter 0, pages 69-79 Czech National Bank, Research Department.
    8. Elke Hanschel & Pierre Monnin, 2005. "Measuring and forecasting stress in the banking sector: evidence from Switzerland," BIS Papers chapters,in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 431-49 Bank for International Settlements.
    9. Mark Illing & Ying Liu, 2003. "An Index of Financial Stress for Canada," Staff Working Papers 03-14, Bank of Canada.
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    Cited by:

    1. Maciej Krzak & Grzegorz Poniatowski & Katarzyna Wasik, 2014. "Measuring financial stress and economic sensitivity in CEE countries," CASE Network Reports 0117, CASE-Center for Social and Economic Research.
    2. Hayet Abbad & Mohamed Achouche & Yamina Tadjeddine, 2015. "Evaluation du système financier Algérien : Construction d’un indice agrégé de stabilité bancaire," EconomiX Working Papers 2015-25, University of Paris Nanterre, EconomiX.
    3. TRIANDAFIL, Cristina Maria, 2013. "Sustainability of convergence in the context of macro-prudential policies in the European Union," Working Papers of National Institute of Economic Research 130618, National Institute of Economic Research.

    More about this item


    financial stability; aggregate financial stability index; forecasting systemic stability; stochastic simulation model;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G01 - Financial Economics - - General - - - Financial Crises
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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