Country and Industry Factors as Determinants of Corporate Performance: Research Methodology

  • Julia Koralun-Bereźnicka
Part of the Contributions to Management Science book series (MANAGEMENT SC.)


Corporate performance diversity has long been the subject of a number of studies performed with various research methods in such areas as finance, accounting or industrial economics. Researchers focus on different aspects of this diversity, for example, depending on geographical region, industry, company size or strategy.


Cash Flow Stock Return Euro Area Corporate Performance Market Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Aczel, A. D. (2000). Statystyka w zarządzaniu. Warszawa, Poland: Wydawnictwo Naukowe PWN.Google Scholar
  2. Adjaouté, K., & Danthine, J.P. (2003). European financial integration and equity returns: A theory based assessment. In V. Gaspar, P. Hartmann, & O. Sleijpen (Eds.), The transformation of the European financial system pp. 185–245). Second ECB Central Banking Conference.Google Scholar
  3. Adler, M., & Dumas, B. (1984). Exposure to currency risk: Definition and measurement. Financial Management, 13(2), 41–50.Google Scholar
  4. Afifi, A. A., & Clark, V. (1990). Computer-aided multivariate analysis (2nd ed.). New York: Van Nostrand Reinhold.Google Scholar
  5. Altman, E. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance, 23(4), 589–609.Google Scholar
  6. Altman, E. (1993). Corporate financial distress and bankruptcy. New York: John Wiley & Sons.Google Scholar
  7. Altman, E. (2001). Predicting financial distress of companies: Revisiting the Z-score and Zeta® models. New York: New York University.Google Scholar
  8. Altman, E., Haldeman, R., & Narayanan, P. (1977). ZETA analysis: A new model to identify bankruptcy risk of corporations. Journal of Banking and Finance, 1(1), 29–54.Google Scholar
  9. Arabie, P., & Boorman, S. A. (1973). Multidimensional scaling of measures of distance between partitions. Journal of Mathematical Psychology, 10(2), 148–203.Google Scholar
  10. Archer, S. H., & Faerber, L. G. (1966). Firm size and cost of equity. Journal of Finance, 21(2), 69–84.Google Scholar
  11. Baca, S., Garbe, B., & Weiss, R. (2000). The rise of sector effects in major equity markets. Financial Analysts Journal, 56(5), 34–40.Google Scholar
  12. Ball, R., & Brown, P. (1968). An empirical evaluation of accounting income numbers. Journal of Accounting Research, 6(2), 159–178.Google Scholar
  13. Beaver, W. H. (1966). Financial ratios as predictors of failure. Journal of Accounting Research, 4(Empirical Research in Accounting: Selected Studies), 71–111.Google Scholar
  14. Beaver, W.H., McNichols, M. F., & Rhie, J. (2004). Have financial statements become less informative? Evidence from the ability of financial ratios to predict bankruptcy. Accessed 18 June 2010.
  15. Beckers, S., Connor, G., & Curds, R. (1996). National versus global influences on equity returns. Financial Analysts Journal, 52(2), 31–39.Google Scholar
  16. Beckers, S., Grinold, S., Rudd, A., & Stefek, D. (1992). The relative importance of common factors across the European equity markets. Journal of Banking and Finance, 16(1), 75–95.Google Scholar
  17. Bodnar, G., & Gentry, W. (1993). Exchange rate exposure and industry characteristics: Evidence from Canada, Japan, and the US. Journal of International Money and Finance, 12(1), 29–45.Google Scholar
  18. Boillat, P., de Skowronsky, N., & Tuchschmid, N. (2002). Cluster analysis: Application to sector indices and empirical validation. Financial Markets and Portfolio Management, 16(4), 467–486.Google Scholar
  19. Bolch, B. W., & Huang, C. J. (1974). Multivariate statistical methods for business and economics. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
  20. Bolliger, G. (2004). The characteristics of individual analysts’ forecasts in Europe. Journal of Banking and Finance, 28(9), 2283–2309.Google Scholar
  21. Bolshakova, A., & Azuaje, F. (2003). Cluster validation techniques for genome expression data. Signal Porcessing, 83(4), 825–833.Google Scholar
  22. Borkowski, B., Dudek, H., & Szczęsny, W. (2004). Ekonometria. Wybrane zagadnienia. Warszawa: Wydawnictwo Naukowe PWN.Google Scholar
  23. Borys, T. (1978). Metody normowania cech w statystycznych badaniach porównawczych. Przegląd Statystyczny, 3(2), 371–382.Google Scholar
  24. Borys, T. (1984). Kategoria jakości w statystycznej analizie porównawczej. Prace Naukowe AE we Wrocławiu, 284, Seria: Monografie i Opracowania, 23, AE, Wrocław.Google Scholar
  25. Bougen, P. D., & Drury, J. C. (1980). U.K. statistical distributions of financial ratios. Journal of Business Finance and Accounting, 7(1), 39–47.Google Scholar
  26. Brabazon, A., & Keenan, P. B. (2004). A hybrid genetic model for the prediction of corporate failure. Computational Management Science, 1, 293–310. doi: 10.1007/s10287-004-0017-6.Google Scholar
  27. Brooks, R., & Del Negro, M. (2004). The rise in comovement across national stock markets: Market integration or IT bubble? Journal of Empirical Finance, 11(5), 649–680.Google Scholar
  28. Calof, J. L. (1994). The relationship between firm size and export behavior revisited. Journal of International Business Studies, 25(2), 367–388.Google Scholar
  29. Campbell, J., & Shiller, R. (1988). The dividend-price ratio and expectations of future dividends and discount factors. Review of Financial Studies, 1(3), 195–228.Google Scholar
  30. Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 629–637.Google Scholar
  31. Cavaglia, S., Brightman, C., & Aked, M. (2000). The increasing importance of industry factors. Financial Analysts Journal, 56(5), 41–54.Google Scholar
  32. Cavaglia, S., Cho, D., & Singer, B. (2001). Risks of sector rotation strategies. Journal of Portfolio Management, 27(4), 35–44.Google Scholar
  33. Chung, F. H. (1993). Asset characteristics and corporate debt policy: An empirical test. Journal of Business Finance and Accounting, 20(1), 83–98.Google Scholar
  34. Cinca, C. S., Molinero, C. M., & Larraz, J. L. (2005). Country and size effects in financial ratios: A European perspective. Global Finance Journal, 16(1), 26–47.Google Scholar
  35. Cooke, T. E. (1992). The impact of size, stock market listing and industry type on disclosure in the annual reports of Japanese listed corporations. Accounting and Business Research, 22(1), 229–237.Google Scholar
  36. Coval, J., & Moskowitz, T. (2001). The geography of investment: Informed trading and asset prices. Journal of Political Economy, 109(4), 811–841.Google Scholar
  37. Czekanowski, J. (1913). Zarys metod statystycznych w zastosowaniach do antropologii. Warszawa, Poland: Wydawnictwo Towarzystwo Naukowe Warszawskie.Google Scholar
  38. De Moor, L., & Sercu, P. (2005). Country and sector effects in international stock returns revisited (SSRN Working Paper)., 1–32. Accessed 20 June 2009.
  39. Deakin, E. B. (1976). Distributions of financial accounting ratios: Some empirical evidence. The Accounting Review, 51(1), 90–96.Google Scholar
  40. DeJong, D., & Whiteman, C. (1991). The temporal stability of dividends and stock prices: Evidence from the likelihood function. American Economic Review, 81(3), 600–617.Google Scholar
  41. Dempsey, S. J., Laber, G., & Rozeff, M. S. (1993). Dividend policies in practice: Is there an industry effect? Quaterly Journal of Business and Economics, 32(4), 3–13.Google Scholar
  42. Dobosz, M. (2001). Wspomagana komputerowo statystyczna analiza wyników badań. Warszawa, Poland: EXIT.Google Scholar
  43. Domański, C. (1990). Testy statystyczne. Warszawa, Poland: PWE.Google Scholar
  44. Domański, C., Pruska, K., & Wagner, W. (1998). Wnioskowanie statystyczne przy nieklasycznych założeniach. Łódź, Poland: Wydawnictwo Uniwersytetu Łódzkiego.Google Scholar
  45. Dornbusch, R. (1973). Devaluation, money and nontraded goods. American Economic Review, 63(5), 871–880.Google Scholar
  46. Dornbusch, R. (1987). Exchange rates and prices. American Economic Review, 77(1), 93–106.Google Scholar
  47. Drummen, M., & Zimmermann, H. (1992). The structure of European stock returns. Financial Analysts Journal, 48(4), 15–26.Google Scholar
  48. Edwards, J., Kay, J., & Mayer, C. (1987). The economic analysis of accounting profitability. Oxford: Oxford University Press.Google Scholar
  49. Eiling, E., Gerard, B., & de Roon, F. (2005). International diversification in the euro-zone: The increasing riskiness of industry portfolios. Accessed 20 July 2009.
  50. Eisenbeis, R. A. (1977). Pitfalls in the application of discriminant analysis in business, finance and economics. Journal of Finance, 32(3), 875–900.Google Scholar
  51. Falk, H., & Heintz, J. A. (1975). Assessing industry risk by ratio analysis. The Accounting Review, 50(4), 758–779.Google Scholar
  52. Fama, E., & French, K. (1988). Dividend yields and expected stock returns. Journal of Financial Economics, 22(1), 3–25.Google Scholar
  53. Fama, E., & Schwert, G. (1977). Asset returns and inflation. Journal of Financial Economics, 5(2), 115–146.Google Scholar
  54. Feildstein, S., Longford, N., & McLeay, S. (1987). Industry effects and the proportionality assumption in ratio analysis: A variance component analysis. Journal of Business, Finance and Accounting, 14(4), 497–517.Google Scholar
  55. Ferson, W. E., & Harvey, C. R. (1993). The risk and predictability of international equity returns. Review of Financial Studies, 6(3), 527–566.Google Scholar
  56. Fieldsend, S., Longford, N., & McLeay, S. (1987). Industry effects and proportionality assumption in ratio analysis: A variance component analysis. Journal of Business Finance and Accounting, 14(4), 497–517.Google Scholar
  57. Fisher, R. A. (1954). Statistical methods for research workers. Edinburgh: Oliver and Boyd.Google Scholar
  58. Fisher, T., & Martel, J. (2000). A comparison of business bankruptcies across industries in Canada, 1981–2000. Accessed 7 July 2009.
  59. Fisher, F. M., & McGowan, J. J. (1983). On the misuse of accounting rates of return to infer monopoly profits. American Economic Review, 73(1), 82–97.Google Scholar
  60. Fitzpatrick, P. (1932). A comparison of the ratios of successful industrial enterprises with those of failed companies. Washington, DC: The Accountants’ Publishing Company.Google Scholar
  61. Flavin, T. J. (2004). The effect of the euro on country versus industry portfolio diversification. Journal of International Money and Finance, 23(7–8), 1137–1158.Google Scholar
  62. Fowkles, E. B., & Mallows, C. L. (1983). A method for comparing two hierarchical clusterings. Journal of the American Statistical Association, 78(383), 553–569.Google Scholar
  63. Freimann, E. (1998). Economic integration and country allocation in Europe. Financial Analysts Journal, 54(5), 32–41.Google Scholar
  64. Galati, G., & Tsatsaronis, K. (2003). The impact of the euro on Europe’s financial markets. Financial Markets, Institutions and Instruments, 12(3), 165–221.Google Scholar
  65. Gallizo, J. L., & Salvador, M. (2002). What factors drive and which act as a brake on the convergence of financial statements in EMU member countries? Review of Accounting and Finance, 1(4), 49–68.Google Scholar
  66. Gatward, P., & Sharpe, I. G. (1996). Capital structure dynamics with interrelated adjustment: Australian evidence. Australian Journal of Management, 21(2), 89–112.Google Scholar
  67. Geroski, P. A., & Mata, J. (2001). The evolution of markets. International Journal of Industrial Organization, 19(7), 999–1002.Google Scholar
  68. Goetzmann, W., & Jorion, P. (1993). Testing the predictive power of dividend yields. Journal of Finance, 48(2), 663–679.Google Scholar
  69. Goetzmann, W., Li, L., & Rouwenhorst, G. (2005). Long-term global market correlations. Journal of Business, 78(1), 1–38.Google Scholar
  70. Goodman, L. A., & Kruskal, W. H. (1979). Measures of association for cross classifications. Heidelberg/New York: Springer-Veralg.Google Scholar
  71. Gordon, A. D. (1987). A review of hierarchical classification. Journal of the Royal Statistical Society. Series A, 150(2), 119–137.Google Scholar
  72. Grabiński, T. (1992). Metody aksonometrii. Kraków, Poland: Wydawnictwo AE.Google Scholar
  73. Grabiński, T., Wydymus, S., & Zeliaś, A. (1989). Metody taksonomii numerycznej w modelowaniu zjawisk społeczno-gospodarczych. Warszawa, Poland: Wydawnictwo Naukowe PWN.Google Scholar
  74. Griffin, J. M., & Karolyi, G. A. (1998). Another look at the role of the industrial structure of markets for international diversification strategies. Journal of Financial Economics, 50(3), 351–373.Google Scholar
  75. Grinblatt, M., & Keloharju, M. (2001). How distance, language, and culture influence stockholdings and trades. Journal of Finance, 56(3), 1053–1073.Google Scholar
  76. Grinold, R., Rudd, A., & Stefek, D. (1989). Global factors: Fact or fiction? Journal of Portfolio Management, 16(1), 79–88.Google Scholar
  77. Grubel, H. (1968). Internationally diversified portfolios: Welfare gains and capital flows. American Economic Review, 58(5), 1299–1314.Google Scholar
  78. Gupta, M. C. (1969). The effect of size, growth, and industry on the financial structure of manufacturing companies. Journal of Finance, 24(3), 517–529.Google Scholar
  79. Gupta, M. C., & Huefner, R. J. (1972). A cluster analysis study of financial ratios and industry characteristics. Journal of Accounting Research, 10(1), 77–95.Google Scholar
  80. Harman, H. H. (1967). Modern factor analysis. Chicago: University of Chicago Press.Google Scholar
  81. Hartigan, J. A. (1975). Clustering algorithms. New York: John Wiley & Sons.Google Scholar
  82. Helg, R., Manasse, P., Monacelli, T., & Rovelli, R. (1995). How much (a)symmetry in Europe? Evidence from industrial sectors. European Economic Review, 39(5), 1017–1041.Google Scholar
  83. Hellwig, Z. (1968). Zastosowanie metody taksonomicznej do typologicznego podziału krajów ze względu na poziom ich rozwoju i strukturę wykwalifikowanych kadr. Przegląd Statystyczny, 4, 307–324.Google Scholar
  84. Hellwig, Z. (1981). Wielowymiarowa analiza porównawcza i jej zastosowanie w badaniach wielocechowych obiektów gospodarczych. Warszawa, Poland: PWE.Google Scholar
  85. Hellwig, Z. (1988). Nieuzgodnione problemy WAP. Prace Naukowe Akademii Ekonomicznej im. Oskara Langego we Wrocławiu 449, Wrocław.Google Scholar
  86. Heston, S. L., & Rouwenhorst, K. G. (1994). Does industrial structure explain the benefits of international diversification. Journal of Financial Economics, 36(1), 3–27.Google Scholar
  87. Heston, S. L., & Rouwenhorst, K. G. (1995). Industry and country effects in international stock returns. Journal of Portfolio Management, 21(3), 53–58.Google Scholar
  88. Hodrick, R. (1992). Dividend yields and expected stock returns: Alternative procedures for inference and measurement. Review of Financial Studies, 5(3), 357–386.Google Scholar
  89. Horrigan, J. (1965). Some empirical bases of financial ratio analysis. The Accounting Review, 40(3), 558–568.Google Scholar
  90. Hubert, L. J., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1), 193–218.Google Scholar
  91. Hunt, S. D. (1983). Marketing theory: The philosophy of marketing science. Homewood, IL: Irwin.Google Scholar
  92. Jacobson, R. (1987). The validity of ROI as a measure of business performance. American Economic Review, 77(3), 470–478.Google Scholar
  93. Jajuga, K. (1993). Statystyczna analiza wielowymiarowa. Warszawa, Poland: Wydawnictwo Naukowe PWN.Google Scholar
  94. Julien, P. A., Joyal, A., Deshaies, L., & Ramangalahy, C. (1997). A typology of strategic behaviour among small and medium-sized exporting businesses. International Small Business Journal, 15(20), 33–50.Google Scholar
  95. Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141–151.Google Scholar
  96. Kang, J. K., & Stulz, R. M. (1997). Why is there a home bias? an analysis of foreign portfolio equity ownership in Japan. Journal of Financial Economics, 46(1), 3–28.Google Scholar
  97. Karels, G. V., & Prakash, A. J. (1987). Multivariate normality and forecasting of business bankruptcy. Journal of Business Finance and Accounting, 14(4), 573–593.Google Scholar
  98. Kauffman, L., & Rousseeuw, P. J. (1990). Finding groups in data: An introduction to cluster analysis. New York: Wiley-Interscience.Google Scholar
  99. Ketz, J. E., Doogar, R. K., & David, E. (1990). A cross-industry analysis of financial ratios: Comparabilities and corporate performance. New York: Quorum Books.Google Scholar
  100. King, B. F. (1966). Market and industry factors in stock price behavior. Journal of Business, 39(1), 139–190.Google Scholar
  101. Koralun-Bereźnicka, J. (2006). Ocena możliwości wykorzystania wybranych funkcji dyskryminacji w analizie polskich spółek giełdowych. Studia i Prace Kolegium Zarządzania i Finansów, 69, 18–28.Google Scholar
  102. Koralun-Bereźnicka, J. (2008b). Wpływ procesu integracji europejskiej na międzysektorowe zróżnicowanie wskaźników finansowych przedsiębiorstw. Zeszyty Naukowe Politechniki Rzeszowskiej. Zarządzanie i marketing, 14, 135–142.Google Scholar
  103. Koralun-Bereźnicka, J. (2009b). Kraj i sektor jako czynniki kształtujące rynkowe stopy zwrotu w świetle przeglądu badań. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu. Zarządzanie finansami firm – teoria i praktyka 48, 466–473.Google Scholar
  104. Koralun-Bereźnicka, J. (2009c). Międzynarodowe i międzysektorowe zróżnicowanie struktury kapitału przedsiębiorstw w wybranych krajach Unii Europejskiej. In J. Ostaszewski (Ed.), Dylematy kształtowania struktury kapitału w przedsiębiorstwie pp. 199–209). Warszawa, Poland: Oficyna Wydawnicza SGH.Google Scholar
  105. Kothari, S. P., & Shanken, J. (1997). Book-to-market, dividend yield, and expected market returns: A time-series analysis. Journal of Financial Economics, 44(2), 169–203.Google Scholar
  106. Kuo, W., & Satchell, S. E. (2001). Global equity styles and industry effects: The pre-eminence of value relative to size. Journal of International Financial Markets, Institutions and Money, 11(1), 1–28.Google Scholar
  107. L’Her, J. F., Sy, O., & Tnani, Y. (2002). Country, industry and risk factor loadings in portfolio management. Journal of Portfolio Management, 28(4), 70–79.Google Scholar
  108. Lamont, O. (1998). Earnings and expected returns. Journal of Finance, 53(5), 1563–1587.Google Scholar
  109. Leal, R. P., & Powers, T. L. (1997). A taxonomy of countries based on inventive activity. International Marketing Review, 14(6), 445–460.Google Scholar
  110. Lessard, D. R. (1974). World, national and industry factors in equity returns. Journal of Finance, 29(2), 379–391.Google Scholar
  111. Lessard, D. R. (1976). World, country, and industry relationships in equity returns: Implications for risk reduction through international diversification. Financial Analysts Journal, 32(1), 32–38.Google Scholar
  112. Lev, B. (1969). Industry averages as targets for financial ratios. Journal of Accounting Research Autumn, 7(2), 290–299.Google Scholar
  113. Lev, B., & Sunder, S. (1979). Methodological issues in the use of financial ratios. Journal of Accounting and Economics, 1(3), 187–210.Google Scholar
  114. Levi, M. (1994). Exchange rates and the valuation of firms. In Y. Amihud & R. Levich (Eds.), Exchange rates and corporate performance pp. 67–84). New York: Irwin Publishing.Google Scholar
  115. Levy, H., & Sarnat, A. (1970). International diversification of investment portfolios. American Economic Review, 60(4), 668–675.Google Scholar
  116. Lewellen, J. (2004). Predicting returns with financial ratios. Journal of Financial Economics, 74(2), 209–235.Google Scholar
  117. Lipiec-Zajchowska, M. (Ed.). (2003). Wspomaganie procesów decyzyjnych. Ekonometria. Warszawa, Poland: C.H. Beck.Google Scholar
  118. Lucey, B. M. (2003). Distributional aspects of Irish financial accounting ratios (Working Paper Series). Scholar
  119. McDonald, B., & Morris, M. H. (1984). The statistical validity of the ratio method in financial analysis: An empirical examination. Journal of Business Finance and Accounting, 11(1), 89–97.Google Scholar
  120. McDonald, B., & Morris, M. H. (1985). The functional specification of financial ratios: An empirical examination. Accounting and Business Research, 15(59), 223–228.Google Scholar
  121. McGurr, P. T., & DeVaney, S. A. (1998). Predicting business failure of retail firms. An analysis using mixed industry models. Journal of Business Research, 43(3), 169–176.Google Scholar
  122. McLeay, S. (1986). The ratio of means, the means of ratio and other benchmarks: An examination of characteristic financial ratios in the French corporate sector. The Journal of the French Finance Association, 7(1), 75–93.Google Scholar
  123. McLeay, S., & Fieldsend, S. (1987). Sector and size effects in ratio analysis: An indirect test of ratio proportionality. Accounting and Business Research, 17(66), 133–140.Google Scholar
  124. Melnyk, Z. L., & Mathur, I. (1972). Business risk homogeneity: A multivariate application and evaluation. University of Cincinnati, College of Business Administration.Google Scholar
  125. Meyers, S. L. (1973). A re-examination of market and industry factors in stock price behaviour. Journal of Finance, 28(3), 695–705.Google Scholar
  126. Migdał-Najman, K., & Najman, K. (2005). Analityczne metody ustalania liczby skupień. Prace Naukowe Akademii Ekonomicznej im. Oskara Langego we Wrocławiu, 1076, 265–273Google Scholar
  127. Migdał-Najman, K., & Najman, K. (2006). Wykorzystanie indeksu silhouette do ustalania optymalnej liczby skupień. Wiadomości Statystyczne, 6, 1–10.Google Scholar
  128. Milligan, G. W. (1996). Clustering validation: Results and implications for applied analyses. In P. Arabie, L. Hubert, & G. De Soete (Eds.), Clustering and classification pp. 341–375). River Edge, NJ: World Scientific Press.Google Scholar
  129. Modares, A., Abedi, S., & Mirshama, M. (2008). Testing linear relationship between excess rate of return and financial ratios (Working paper). Scholar
  130. Morrison, D. F. (1990). Wielowymiarowa analiza statystyczna. Warszawa, Poland: Wydawnictwo Naukowe PWN.Google Scholar
  131. Mramor, D., & Marmor-Kosta, N. (1997). Accounting ratios as factors of rate of return on equity. In New operational approaches for financial modeling pp. 335–348). Heidelberg: Physica-Verlag.Google Scholar
  132. Najman, K. (2007). Charakterystyka mierników oceny podobieństwa wyników podziałów. Prace i Materiały Wydziału Zarządzania Uniwersytetu Gdańskiego. Finanse i informatyka w zarządzaniu, wybrane aspekty, 3, 191–201.Google Scholar
  133. Nowak, E. (1990). Metody taksonomiczne w klasyfikacji obiektów społeczno-gospodarczych. Warszawa, Poland: PWE.Google Scholar
  134. Ohlson, J. (1980). Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research, 18(1), 109–131.Google Scholar
  135. Orłowski, K. (2001). Zastosowanie pakietu Statistica w analizie wyników badań społecznych. Poznań: Wydawnictwo Naukowe Stowarzyszenia Psychologia i Architektura.Google Scholar
  136. Ostasiewicz, W. (1999). Statystyczne metody analizy danych. Wrocław, Poland: Wydawnictwo Akademii Ekonomicznej im. Oskara Langego we Wrocławiu.Google Scholar
  137. Pahor, M., & Mramor, D. (2001). Testing nonlinear relationships between excess rate of return on equity and financial ratios (Working Papers Series). doi:10.2139/ssrn.266928.Google Scholar
  138. Peel, M. J., Peel, D. A., & Pope, P. F. (1986). Predicting corporate failure – some results for the UK corporate sector. Omega International Journal of Management Science, 14(1), 5–12.Google Scholar
  139. Perttunen, J., & Martikainen, T. (1989). On the proportionality assumption of financial ratios. Finnish Journal of Business Economics, 38(4), 343–359.Google Scholar
  140. Phylaktis, K., & Xia, L. (2006). Sources of firms’ industry and country effects in emerging markets. Journal of International Money and Finance, 25(3), 459–475.Google Scholar
  141. Pluta, W. (1977). Wielowymiarowa analiza porównawcza w badaniach ekonomicznych. Warszawa, Poland: PWE.Google Scholar
  142. Pontiff, J., & Schall, L. (1998). Book-to-market ratios as predictors of market returns. Journal of Financial Economics, 49(2), 141–160.Google Scholar
  143. Rand, W. M. (1971). Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66(336), 846–850.Google Scholar
  144. Rees, B. (1995). Financial analysis. Hertfordshire: Prentice Hall.Google Scholar
  145. Rivaud-Danset, D., Salais, R., & Dubocage, E. (2001). Comparison between the financial structure of SMES and that of large enterprises (LES) using the BACH database (Economic Paper 155). Brussels: European Commission, Directoate-General for Ecomomic and Financial Affairs. Scholar
  146. Rohlf, F. J. (1974). Method of comparing classifications. Annual Review of Ecology and Systematics, 5, 101–113.Google Scholar
  147. Roll, R. (1992). Industrial structure and the comparative behavior of international stock market indices. Journal of Finance, 47(1), 3–41.Google Scholar
  148. Rószkiewicz, M. (2002). Metody ilościowe w badaniach marketingowych. Warszawa, Poland: Wydawnictwo Naukowe PWN.Google Scholar
  149. Rousseeuw, P. J. (1987). Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. Journal of Computational Applications in Math, 20, 53–65.Google Scholar
  150. Rouwenhorst, K. G. (1999). European equity markets and the EMU. Financial Analysts Journal, 55(3), 57–64.Google Scholar
  151. Sell, C. W. (2005). The importance of country versus sector characteristics. Managerial Finance, 31(1), 78–95.Google Scholar
  152. Serra, A. P. (2000). Country and industry factors in returns: Evidence from emerging markets’ stocks. Emerging Markets Review, 1(2), 127–151.Google Scholar
  153. Serrano-Cinca, C. (1998). From financial information to strategic groups – a self organizing neural network approach. Journal of Forecasting, 17(5–6), 415–428.Google Scholar
  154. Serrano-Cinca, C., Mar-Molinero, C., & Gallizo, J. L. (2001). Change and invariance in EU aggregate financial statement data, Discussion papers in Accounting and Finance, AF01-1, School of Management, UK University of Southampton. Accessed 19 September 2009.
  155. Serrano-Cinca, C., Mar-Molinero, C., & Gallizo, J. L. (2002). A multivariate study of the EU economy via financial statements analysis. Journal of the Royal Statistical Society: Series D, 51(3), 335–354.Google Scholar
  156. Siudek, T. (2006). Badanie regionalnego zróżnicowania sytuacji ekonomiczno-finansowej banków spółdzielczych w Polsce z wykorzystaniem metod taksonomicznych. Zeszyty Naukowe SGGW – Ekonomika i Organizacja Gospodarki Żywnościowej, 58, 41–53.Google Scholar
  157. Smith, R., & Winakor, A. (1935). Changes in the financial structure of unsuccessful industrial corporations. Bulletin (University of Illinois). Bureau of Business Research, 51. University of Illinois Bulletin, 32(46).Google Scholar
  158. Solnik, B. (1974). The international pricing of risk: An empirical investigation of the world capital market structure. Journal of Finance, 29(2), 365–378.Google Scholar
  159. Sonney, F. (2007). Country versus sector influences and financial analysts’ specialization. Université de Neuchâtel. Accessed 9 August 2009.
  160. Sori, M.Z., Hamid, A., Ali, M., Annuar, N., & Shamsher, M. (2006). Some basic properties of financial ratios: Evidence from an emerging capital market. International Research Journal of Finance and Economics, Scholar
  161. Stanisz, A. (2000). Przystępny kurs statystyki z wykorzystaniem programu Statistica pl. na przykładach z medycyny (Modele liniowe i nieliniowe, Vol. 2). Kraków, Poland: StatSoft Polska.Google Scholar
  162. Steinhaus, H. (1956). Sur la division des cors materiel en partie. Bulletin Academie Polonaise des Sciences, 4, 801–804.Google Scholar
  163. Storey, D., Keasey, K., Watson, R., & Wynarczyk, P. (1987). The performance of small firms. London: Croom-Helm.Google Scholar
  164. Tadeusiewicz, R. (1993). Biometria. Kraków, Poland: Wydawnictwo Akademii Górniczo-Hutniczej.Google Scholar
  165. Varadarajan, P. R. (1986). Horizontal cooperative sales promotion: A framework for classification and additional perspectives. Journal of Marketing, 50(2), 61–73.Google Scholar
  166. Wallace, D. L. (1983). A method for comparing two hierarchical clusterings: Comment. Journal of the American Statistical Association, 78(383), 569–576.Google Scholar
  167. Ward, J. H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301), 236–244.Google Scholar
  168. Weiss, R. A. (1998). Global sector rotation: New look at an old idea. Financial Analysts Journal, 54(3), 6–8.Google Scholar
  169. Whittington, G. (1980). Some basic properties of accounting ratios. Journal of Business Finance and Accounting, 7(2), 219–232.Google Scholar
  170. Wilcox, J. (1970). A simple theory of financial ratios as predictors of failure. Journal of Accounting Research, 9(2), 389–395.Google Scholar
  171. Zaleska, M. (2002). Identyfikacja ryzyka upadłości przedsiębiorstwa i banku. Systemy wczesnego ostrzegania. Warszawa, Poland: Difin.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Julia Koralun-Bereźnicka
    • 1
  1. 1.Faculty of ManagementUniversity of GdańskSopotPoland

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