Repository logo
Communities & Collections
All of MSAR
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "El-Sayed Ismael, Mohamed"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Item
    Financial Ratios as Predictors of Failure
    (Copyright © 2019 MSA University. All Rights Reserved., 2019) Ahmed Abdul-Aziz, Sara; El-Sayed Ismael, Mohamed; Medhat, Shady; Khaled Zaki, Ahmed
    In light of recent events that have taken place, the importance of knowing the financial position of banks is imperative to stakeholders. There is a major dearth of literature that examines the applicability of Altman’s Z-score model to forecasting banking failures. The focus of this study is to confirm the validity of Altman’s Z-score model as a predictor of failures. This requires two data sets: failed and non-failed banks. Four distressed banks were benchmarked to four comparable control banks. Ratio analysis was carried out on the failed company’s financial statements for three years prior to their bankruptcy or nationalization as the Z-score model has predictive power of up to three years pre-bankruptcy. The empirical findings verified the predictive ability of the Z-score model to the company’s area.

October University for Modern Sciences and Arts Established by Dr. Nawal El Degwi in 1996 copyright © 2019-2024

DSpace software copyright © 2002-2025 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback