FINANCIAL STABILITY IN AZERBAIJAN: THE APPLICATION OF FUZZY APPROACH

  • Gorkhmaz Imanov
  • Heyran Alieva
  • Rashad Yusifzadeh
DOI: https://doi.org/10.21098/bemp.v19i3.668
Keywords: financial stability, intuitionistic fuzzy sets, financial development index, financial vulnerability index, financial soundness index

Abstract

This paper develops an aggregate financial stability index (AFSI) for Azerbaijan financial system, over the period 2005-2015. The data used includes four composite indices; consisting nineteen individual indicators in total. We use intuitionistic fuzzy to set the weights of sub-indices and define the level of financial stability in Azerbaijan. Determining the weights appropriately across different years is important. This paper concludes the fuzzy assessment of the index is more capable compared to standard approach in capturing the dynamics of financial stability during the observed period.

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References

Albulescu, C.T. (2008). Assessing Romanian Financial Sector Stability by Means of an Aggregate Index. Oeconomica, 17(2): 67-87.
Albulescu, C.T. (2010). Forecasting the Romanian Financial System Stability Using a Stochastic Simulation Model. Romanian Journal of Economic Forecasting, (1): 81-98.
Morris, V.C. (2011). Measuring and Forecasting Financial Stability: The Composition of an Aggregate Financial Stability Index for Jamaica, Journal of Business, Finance and Economics in Emerging Economies, 6(2): 34-51
Nasreen, S. and Anwar, S. and Shahzadi, H. (2015). Financial Stability and Macroeconomic Environment: Evidence from Panel Data Analysis of South Asian Countries. Pakistan Journal of Social Sciences, 35(1):145-160
Atanassov, K. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1): 87-96
Szmidt, E. and Kacprzyk, K. (2001). Entropy for intuitionistic fuzzy sets. Fuzzy Sets and Systems,(118): 467-477
G.J.Shinasi, G.J. (2004). Defining Financial Stability, International Monetary Fund WP/187
Illing, M. and Y, Liu. (2003). An Index of Financial Stress for Canada. National Bank of Canada Working Paper /14: 63p.
Van den End, J.W. (2006). Indicator and Boundaries of Financial Stability. De Nederlandsche Bank Working Paper /97: 24 p.
Borio, C. and Drehmann, M. (2009). Towards an operational framework for financial stability: “fuzzy” measurement and its consequences, BIS Working Papers /284: 50 p.
Jordan, A and Smith, L. (2014). Measuring the Level of Financial Stability in the Bahamas. 46th Annual Monetary Studies Conference: Macro-Prudential Supervision, Financial Stability And Monetary Policy, Central Bank of Trinidad and Tobago
Karanovic, G. and Karanovic, B. (2015). Developing an Aggregate Index for Measuring Financial Stability in the Balkans. 7th International Conference, The Economies of Balkan and Eastern Europe Countries in the changed world, EBEEC: 3-17
BP. (2015). Statistical Review of World Energy, 64th edition, June 2015, 45 p.
CESifo Group Munich, www.ifo.de/w/4LsApn939

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Published
2017-03-30
How to Cite
Imanov, G., Alieva, H., & Yusifzadeh, R. (2017). FINANCIAL STABILITY IN AZERBAIJAN: THE APPLICATION OF FUZZY APPROACH. Buletin Ekonomi Moneter Dan Perbankan, 19(3), 319-334. https://doi.org/10.21098/bemp.v19i3.668
Issue
Vol 19 No 3 (2017)
Section
Articles

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Buletin Ekonomi Moneter dan Perbankan / Bulletin of Monetary Economics and Banking is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.