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Cluster Analysis Study Of Financial Ratios And Industry Characteristics

Author

Listed:
  • GUPTA, MC
  • HUEFNER, RJ

Abstract

No abstract is available for this item.

Suggested Citation

  • Gupta, Mc & Huefner, Rj, 1972. "Cluster Analysis Study Of Financial Ratios And Industry Characteristics," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 77-95.
    • Handle: RePEc:bla:joares:v:10:y:1972:i:1:p:77-95
    DOI: http://hdl.handle.net/10.2307/2490219
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    Citations

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    Cited by:

    1. Monika Bolek, 2014. "Working Capital Management, Profitability And Risk – Analyse Of Companies Listed On The Warsaw Stock Exchange," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 9(3), pages 1-10, January.
    2. Almeida, Lucas Milanez de Lima & Balanco, Paulo Antonio de Freitas, 2020. "Application of multivariate analysis as complementary instrument in studies about structural changes: An example of the multipliers in the US economy," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 189-207.
    3. Abdul Basyith & Abid Djazuli & Fitriya Fauzi, 2021. "Does Working Capital Management Affect Profitability? Empirical Evidence from Indonesia Listed Firms," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(3), pages 236-251, March.
    4. Khoja, Layla & Chipulu, Maxwell & Jayasekera, Ranadeva, 2019. "Analysis of financial distress cross countries: Using macroeconomic, industrial indicators and accounting data," International Review of Financial Analysis, Elsevier, vol. 66(C).
    5. Obaid Ur Rehman, 2017. "Firms' Aggressiveness and Respective Performance: An Empirical Study under Pakistani Scenery," International Journal of Entrepreneurial Knowledge, Center for International Scientific Research of VSO and VSPP, vol. 5(1), pages 5-19, June.
    6. Julia Koralun-Bereźnicka, 2011. "Country and industry factors as determinants of corporate financial liquidity in the European Union countries," Bank i Kredyt, Narodowy Bank Polski, vol. 42(1), pages 19-48.
    7. Pedro García-Teruel & Pedro Martínez-Solano, 2010. "Ownership structure and debt maturity: new evidence from Spain," Review of Quantitative Finance and Accounting, Springer, vol. 35(4), pages 473-491, November.
    8. Sofia Johan & Yelin Zhang, 2022. "Investors’ industry preference in equity crowdfunding," The Journal of Technology Transfer, Springer, vol. 47(6), pages 1737-1765, December.
    9. Manak Gupta & Alice Lee, 2006. "An Integrated Model of Debt Issuance, Refunding, and Maturity," Review of Quantitative Finance and Accounting, Springer, vol. 26(2), pages 177-199, March.
    10. Alexandra Horobet & Lucian Belascu & Ștefania Cristina Curea & Alma Pentescu, 2019. "Ownership Concentration and Performance Recovery Patterns in the European Union," Sustainability, MDPI, vol. 11(4), pages 1-31, February.
    11. de Almeida, Juliano Ribeiro & Eid, William, 2014. "Access to finance, working capital management and company value: Evidences from Brazilian companies listed on BM&FBOVESPA," Journal of Business Research, Elsevier, vol. 67(5), pages 924-934.
    12. Layla Khoja & Maxwell Chipulu & Ranadeva Jayasekera, 2016. "Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 483-518, April.
    13. Christian Weiner, 2005. "The Impact of Industry Classification Schemes on Financial Research," SFB 649 Discussion Papers SFB649DP2005-062, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    14. Talat Afza, 2011. "Working Capital Management Efficiency of Cement Sector of Pakistan," Journal of Economics and Behavioral Studies, AMH International, vol. 2(5), pages 223-235.
    15. Julia Koralun-Bereźnicka, 2014. "On the Relative Importance of Corporate Working Capital Determinants: Findings from the EU Countries," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(4), December.
    16. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    17. Hu, Yu-Chiang & Ansell, Jake, 2007. "Measuring retail company performance using credit scoring techniques," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1595-1606, December.
    18. Sakınç, İlker, 2018. "A Comparison of Working Capital Components of Turkish And Indian Cement Firms," Bulletin of Economic Theory and Analysis, BETA Journals, vol. 3(4), pages 261-272, December.
    19. Fernando García & Francisco Guijarro & Ismael Moya, 2013. "Monitoring credit risk in the social economy sector by means of a binary goal programming model," Service Business, Springer;Pan-Pacific Business Association, vol. 7(3), pages 483-495, September.
    20. Stefania Vignini & Tiziana De Cristofaro, 2018. "Impatto della crisi economica su redditivit? e rischio finanziario delle imprese romagnole. Una cluster analysis," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(3), pages 157-181.
    21. Tomislava Pavić Kramarić & Mirjana Pejić Bach & Ksenija Dumičić & Berislav Žmuk & Maja Mihelja Žaja, 2018. "Exploratory study of insurance companies in selected post-transition countries: non-hierarchical cluster analysis," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(3), pages 783-807, September.

    More about this item

    Keywords

    Financial ratios; Descriptive power; Industry level; Macro outcomes;
    All these keywords.

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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