Cluster analysis of the impact of currency regime type on features of the spread of financial crises

• Authors: STRELCHENKO Inna
• Languages of publication: EN

Abstracts

EN

The paper presents the results of research on the impact of currency regime type on features of the spread of financial crises. The focus is on constructing a neural network to identify groups of countries exhibiting similar behaviour in the dynamics of the index of flexibility in the effective exchange rate, exchange market pressure and external public debt markets in times of sudden changes in the environment. The alpha-criterion for optimality constructed in this way is based on the use of a concordance coefficient. The result of modelling is a self-organization map with a hidden layer consisting of six clusters. This cluster structure allows us to analyse the relationship between the type of currency regime and the consequences of the global crisis in 2007–2009 for the domestic financial markets of the investigated countries. It is found that the result of the division is significantly influenced by the proximity of administrative boundaries and historically predetermined close trade and economic channels of interaction between economies. The results obtained can be used to formulate directions in the currency policies of developing countries, including Ukraine.

Keywords

EN

financial crises; clustering; neural network; self-organization map; macroeconomic indicator

• Publisher: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
• Journal: Operations Research and Decisions
• Year: 2018
• Volume: 28
• Issue: 2
• Pages: 71-84

Contributors

author

STRELCHENKO Inna

• Department of Theoretical and Applied Economics, Department of Economic and Mathematical Modelling, State Higher Educational Establishment, Kyiv National Economic University named after Vadym Hetman, 54/1 Peremogy Avenue, Kyiv, 03680, Ukraine

References

• BAXTER M., STOCKMAN A., Business cycles and the exchange-rate regime. Some international evidence, J. Monet. Econ.,1989, 23 (3), 377–400.
• CALVO G., REINHART C., Fear of floating, Quarter. J. Econ., 2002, 107, 379–408.
• CHANG R., VELASCO A., Financial fragility and the exchange rate regime, J. Econ. Theory, 2002, 2, 1–34.
• EICHENGREEN B., International Monetary Arrangements for the 21st Century, Washington, Brookings Institution, 1992, available online at http://purl.umn.edu/233202.
• FISCHER S., Exchange rate regimes: Is the bipolar view correct?, J. Econ. Persp., 2001, 15 (2), 3–24,available online at http://www.imf.org/external/pubs/ft/fandd/2001/06/fischer.htm, access date: 29.08.2018.
• GARBER M., The operation and collapse of fixed exchange rate regimes, Handbook Int. Econ., 1995, 3, 1865–1911.
• GHOSH A.R., GULDE A.M., Exchange rate regimes. Choices and consequences, The MIT Press, Cambridge, MA, 2002.
• GIRTON L., ROPER D., A monetary model of exchange market pressure applied to postwar Canadian experience, Amer. Econ. Rev., 1997, 67, 537–548.
• HUSH D., HORNE B., Progress in supervised neural networks, IEEE Signal Proc. Mag., 1993, 10 (1), 8–39.
• KAMINSKY G., REINHART C., Bank Lending and Contagion: Evidence from the East Asian Crisis. Regional and Global Capital Flows: Macroeconomics Causes and Consequences, University Chicago Press, Chicago 2001, 73–116.
• KENDALL M.G., Rank Correlation Methods, Hafner Publishing Co., New York 1959.
• KENDALL M.G., BABINGTON B.S., The problem of m rankings, Ann. Math. Stat., 1939, No. 10, 3, 275–287.
• KRUGMAN P.A., Model of balance-of-payments crises, J. Money, Credit Banking, 1979, 1 (3), 311–325.
• LEGENDRE P., Species associations. The Kendall coefficient of concordance revisited, J. Agric., Biol., Environ. Stat., 2005, 10, 226–245.
• OBSTFELD M., Rational and self-fulfilling balance-of-payments crises, Amer. Econ. Rev., 1986, 76, 72–81.
• POIRSON H., How Do Countries Choose Their Exchange Rate Regime?, IMF Working Paper 2001,No. WP/01/46.

Identifiers

DOI

10.5277/ord180205