MULTIVARIABLE BUSINESS CYCLE ANALYSIS WITH SELF-ORGANIZING MAPS - ARE THE CYCLES' SIMILAR?

Companies are operating more and more on the global markets and their performance differs from country to country. Therefore, it is important to analyze to what extent the economic trends of countries differ from each other. This knowledge is of utmost importance for stakeholders because changes in economic trends affect the success of companies’ investments and operations and subsequently the trends influence the financial performance of companies (i.e. profitability, solvency and liquidity). This study compares financial trends in nine countries with nine economic indicators. The research period encompasses the years 1993-2000. The analyses have been made with the technique of Self-Organizing Maps (SOM), which enables simultaneous analysis of several variables. The results indicate that financial fluctuations have at least slight international origin i.e. similar fluctuations have occurred at almost the same time – although the severity varies - in different countries on each continent. The research also reveals that inside European countries financial trends have been close to each other, excluding Great Britain. The most constant economic development has been in North America. The method used also showed clearly the Asian financial crisis.

[1]  J. Nazuno Haykin, Simon. Neural networks: A comprehensive foundation, Prentice Hall, Inc. Segunda Edición, 1999 , 2000 .

[2]  E. Prasad,et al.  Identifying the Common Component in International Economic Fluctuations , 1997 .

[3]  D. Osborn,et al.  A Comparison of the Statistical Properties of Financial Variables in the USA, UK and Germany over the Business Cycle , 2000 .

[4]  Samuel Kaski,et al.  Tips for Processing and Color-coding of Self-Organizing Maps , 1998 .

[5]  Teuvo Kohonen,et al.  Self-Organizing Maps, Second Edition , 1997, Springer Series in Information Sciences.

[6]  Raffaele Paci More similar and less equal: Economic growth in the European regions , 1997 .

[7]  Eswar S. Prasad,et al.  Identifying the Common Component of International Economic Fluctuations: A New Approach , 1999 .

[8]  A Singular Feature of European Business Cycles , 1998 .

[9]  M. Mckenzie The Impact of Exchange Rate Volatility on International Trade Flows , 1999 .

[10]  TEMPORARY CYCLES OR VOLATILE TRENDS? ECONOMIC FLUCTUATIONS IN 21 OECD ECONOMIES , 1995 .

[11]  THE EFFECT OF BUSINESS CYCLES ON GROWTH: KEYNES VS. SCHUMPETER , 1998 .

[12]  E. Prescott Some observations on the Great Depression , 1999 .

[13]  S. Weber The End of the Business Cycle , 1997 .

[14]  Allan W. Gregory,et al.  Measuring World Business Cycles , 1997 .

[15]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[16]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[17]  International business cycles in theory and in practice , 1997 .

[18]  Bernhard Eckwert,et al.  Exchange Rate Volatility and International Trade , 1999 .

[19]  Robert J. Gordon,et al.  U.S. Economic Growth since 1870: One Big Wave? , 1999 .

[20]  Melody Y. Kiang,et al.  An Evaluation of Self-Organizing Map Networks as a Robust Alternative to Factor Analysis in Data Mining Applications , 2001, Inf. Syst. Res..

[21]  Real business cycles: a legacy of countercyclical policies? , 1999 .

[22]  R. Barro Determinants of Economic Growth: A Cross-Country Empirical Study , 1996 .

[23]  Victor Zarnowitz,et al.  Business Cycles Observed and Assessed: Why and How They Matter , 1997 .

[24]  Peter Temin,et al.  The Causes of American Business Cycles: an Essay in Economic Historiography , 1998 .

[25]  C. Zimmermann International Real Business Cycles among Heterogeneous Countries , 1996 .

[26]  Philippe Martin,et al.  Long-Term Growth and Short-Term Economic Instability , 2000 .

[27]  John A. Quelch,et al.  Global Marketing Management , 1999 .

[28]  S. Hyakin,et al.  Neural Networks: A Comprehensive Foundation , 1994 .

[29]  T. Copeland,et al.  Financial Theory and Corporate Policy. , 1980 .

[30]  Yoshua Bengio,et al.  Pattern Recognition and Neural Networks , 1995 .

[31]  Jonathan A. Schwabish,et al.  HAS MACROECONOMIC PERFORMANCE REGAINED ITS ANTIPOVERTY BITE , 2000 .

[32]  J. Berman,et al.  Which industries are sensitive to business cycles? , 1997, Monthly labor review.

[33]  E. Prasad,et al.  Identifying the Common Component of International Economic Fluctuations: A New Approach , 1999, SSRN Electronic Journal.

[34]  Victor Zarnowitz,et al.  Journal of Economic Perspectives—Volume 13, Number 2—Spring 1999—Pages 69–90 Theory and History Behind Business Cycles: Are the 1990s the Onset of a , 2022 .

[35]  V. Zarnowitz Has the Business Cycle Been Abolished? , 1998 .

[36]  A. H. Hallett,et al.  The Impact of Exchange Rate Uncertainty on the Level of Investment , 1999 .

[37]  Mario J. Crucini Country Size and Economic Fluctuations , 1997 .

[38]  Masaaki Kotabe,et al.  Global Marketing Management , 2020 .

[39]  J. Muellbauer The Assessment: Business Cycles , 1997 .

[40]  Anil K. Jain,et al.  A non-linear projection method based on Kohonen's topology preserving maps , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

[41]  Tatsufumi Yamagata ANALOGOUS CYCLES WITH LAGGED CO‐MOVEMENT: U.S. AND EAST ASIAN BUSINESS CYCLES , 1998 .

[42]  Thomas Harjes Real business cycles in an open economy: An application to Germany , 1997 .

[43]  D. Osborn,et al.  Business Cycles for G7 and European Countries , 1997 .