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Poids De L'Avis De L'Expert Comptable Judiciaire Dans La Decision Du Juge En Matiere De Redressement Judiciaire : Cas De La Tunisie

Author

Listed:
  • Taieb Hamadi

    (ESC Toulouse - Groupe École Supérieure de Commerce de Toulouse - ESCT)

  • Sami El Omari,

    (ESC Toulouse - Groupe École Supérieure de Commerce de Toulouse - ESCT)

  • Wafa Khlif

    (ESC Toulouse - Groupe École Supérieure de Commerce de Toulouse - ESCT)

Abstract

This work analyses the influence of the legal expert in accounting on the decision of the judge for legal settlement for firms in difficulty. The report of the legal expert (who is a chartered accountant) aims to help the judge to make a decision. The report contents some technical arguments and the expert opinion. The resultants show clearly that the judge follows the opinion of the expert more than its technical justifications

Suggested Citation

  • Taieb Hamadi & Sami El Omari, & Wafa Khlif, 2012. "Poids De L'Avis De L'Expert Comptable Judiciaire Dans La Decision Du Juge En Matiere De Redressement Judiciaire : Cas De La Tunisie," Post-Print hal-00937922, HAL.
    • Handle: RePEc:hal:journl:hal-00937922
    Note: View the original document on HAL open archive server: https://hal.science/hal-00937922
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    References listed on IDEAS

    as
    1. Deakin, Eb, 1972. "Discriminant Analysis Of Predictors Of Business Failure," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 167-179.
    2. repec:dau:papers:123456789/1945 is not listed on IDEAS
    3. Opler, Tim C & Titman, Sheridan, 1994. "Financial Distress and Corporate Performance," Journal of Finance, American Finance Association, vol. 49(3), pages 1015-1040, July.
    4. Platt, Harlan D. & Platt, Marjorie B., 1991. "A note on the use of industry-relative ratios in bankruptcy prediction," Journal of Banking & Finance, Elsevier, vol. 15(6), pages 1183-1194, December.
    5. Emmanuel CHARRIER, 2005. "L’expert-comptable judiciaire : un pair de la cour ?," Economic History 0503007, University Library of Munich, Germany.
    6. Ferri, Michael G & Jones, Wesley H, 1979. "Determinants of Financial Structure: A New Methodological Approach," Journal of Finance, American Finance Association, vol. 34(3), pages 631-644, June.
    7. Houghton, Ka, 1984. "Accounting Data And The Prediction Of Business Failure - The Setting Of Priors And The Age Of Data," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 361-368.
    8. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    9. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    10. Kose John, 1993. "Managing Financial Distress and Valuing Distressed Securities: A Survey and a Research Agenda," Financial Management, Financial Management Association, vol. 22(3), Fall.
    11. Mensah, Ym, 1984. "An Examination Of The Stationarity Of Multivariate Bankruptcy Prediction Models - A Methodological Study," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 380-395.
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