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Financial distress prediction in an international context: Moderating effects of Hofstede’s original cultural dimensions

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  • Laitinen, Erkki K.
  • Suvas, Arto

Abstract

The objective is to investigate the influence of Hofstede’s original cultural dimensions on financial distress prediction. Empirical data consist of 1,255,768 non-failed and 22,594 failed yearly firm observations from 26 European countries. First, an overall six variable logistic regression model is estimated to predict financial distress in an international context. Second, logistic regression models including moderating (interaction) effects with each financial predictor variable are separately estimated for each cultural dimension. Empirical findings show that Hofstede’s dimensions significantly moderate the effects of many financial predictors in failure prediction. However, equity ratio (solvency) and return on assets ratio (profitability) play central roles in prediction models irrespective of moderating effects. Therefore, solvency and profitability are useful predictors of financial distress in international modeling. Due to the dominant role of the equity ratio across cultures, the contributions of moderating effects and further variables on the overall performance of prediction models are not strong.

Suggested Citation

  • Laitinen, Erkki K. & Suvas, Arto, 2016. "Financial distress prediction in an international context: Moderating effects of Hofstede’s original cultural dimensions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 98-118.
    • Handle: RePEc:eee:beexfi:v:9:y:2016:i:c:p:98-118
    DOI: 10.1016/j.jbef.2015.11.003
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    Cited by:

    1. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
    2. Doumpos, Michalis & Andriosopoulos, Kostas & Galariotis, Emilios & Makridou, Georgia & Zopounidis, Constantin, 2017. "Corporate failure prediction in the European energy sector: A multicriteria approach and the effect of country characteristics," European Journal of Operational Research, Elsevier, vol. 262(1), pages 347-360.
    3. Kumar, Satish & Rao, Sandeep & Goyal, Kirti & Goyal, Nisha, 2022. "Journal of Behavioral and Experimental Finance: A bibliometric overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
    4. Paolo Esposito & Emanuele Doronzo & Spiridione Lucio Dicorato, 2023. "The financial and green effects of cultural values on mission drifts in European social enterprises," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 1-29, January.
    5. Oliver Lukason & María-del-Mar Camacho-Miñano, 2019. "Bankruptcy Risk, Its Financial Determinants and Reporting Delays: Do Managers Have Anything to Hide?," Risks, MDPI, vol. 7(3), pages 1-15, July.
    6. Scott Dell & Meena Subedi & Maxwell K. Hsu & Ali Farazmand, 2023. "The Independent Audit for Nonprofits: Does it Make a Difference?," Public Organization Review, Springer, vol. 23(4), pages 1437-1453, December.
    7. Daniel Ogachi & Richard Ndege & Peter Gaturu & Zeman Zoltan, 2020. "Corporate Bankruptcy Prediction Model, a Special Focus on Listed Companies in Kenya," JRFM, MDPI, vol. 13(3), pages 1-14, March.
    8. Kanitsorn Terdpaopong & Robert C. Rickards & Penprapak Manapreechadeelert, 2020. "The 2011 floods’ impact on the Thai industrial estates’ financial stability: a ratio analysis with policy recommendations," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(3), pages 1991-2014, March.
    9. Maria-Lenuţa Ciupac-Ulici & Daniela-Georgeta Beju & Ioan-Alin Nistor & Flaviu Pișcoran, 2023. "The impact of the Altman score on the energy sector companies," Journal of Financial Studies, Institute of Financial Studies, vol. 8(Special-J), pages 45-56, June.
    10. Mselmi, Nada & Lahiani, Amine & Hamza, Taher, 2017. "Financial distress prediction: The case of French small and medium-sized firms," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 67-80.
    11. Tanzina Haque, 2023. "“Impact of Bankruptcy Risk on Reporting Aelay: An Empirical Evidence from Engineering Industry in Bangladesh.â€," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(8), pages 1538-1552, August.
    12. Scott Dell & Meena Subedi & Maxwell K. Hsu & Ali Farazmand, 2022. "Social Capital and Financial Performance in Nonprofits," Public Organization Review, Springer, vol. 22(1), pages 193-210, March.
    13. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.

    More about this item

    Keywords

    Financial distress; Financial ratios; National culture; Hofstede; Bankruptcy; Failure prediction;
    All these keywords.

    JEL classification:

    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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