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Forecasting Romanian Financial System Stability using a Stochastic Simulation Model

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  • Claudiu Tiberiu Albulescu

    ()
    (CRIEF, University of Poitiers)

Abstract

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.

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File URL: http://www.infer-research.net/files_publications/wp2009.4.pdf
File Function: First version, 2009
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Bibliographic Info

Paper provided by International Network for Economic Research - INFER in its series Working Papers with number 2009.4.

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Length: 22 pages
Date of creation: 2009
Date of revision:
Handle: RePEc:inf:wpaper:2009.4

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

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  1. Peter C.B. Phillips, 1985. "Understanding Spurious Regressions in Econometrics," Cowles Foundation Discussion Papers 757, Cowles Foundation for Research in Economics, Yale University.
  2. Michael D. Bordo & Michael J. Dueker & David C. Wheelock, 2001. "Aggregate price shocks and financial instability: a historical analysis," Working Papers 2000-005, Federal Reserve Bank of St. Louis.
  3. Mark Illing & Ying Liu, 2003. "An Index of Financial Stress for Canada," Working Papers 03-14, Bank of Canada.
  4. 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.
  5. 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.
  6. Philippe D Karam & Doug Hostland, 2006. "Specification of a Stochastic Simulation Model for Assessing Debt Sustainability in Emerging Market Economies," IMF Working Papers 06/268, International Monetary Fund.
  7. Jan Willem van den End, 2006. "Indicator and boundaries of financial stability," DNB Working Papers 097, Netherlands Central Bank, Research Department.
  8. 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.
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Cited by:
  1. 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.
  2. 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.

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