مقاله Review of the prediction power of Altman and Ohlson Models in predicting bankruptcy of Listed Companies in Tehran Stock Exchange – Iran

توجه : به همراه فایل word این محصول فایل پاورپوینت (PowerPoint) و اسلاید های آن به صورت هدیه ارائه خواهد شد

  مقاله Review of the prediction power of Altman and Ohlson Models in predicting bankruptcy of Listed Companies in Tehran Stock Exchange – Iran دارای ۱۸ صفحه می باشد و دارای تنظیمات در microsoft word می باشد و آماده پرینت یا چاپ است

فایل ورد مقاله Review of the prediction power of Altman and Ohlson Models in predicting bankruptcy of Listed Companies in Tehran Stock Exchange – Iran  کاملا فرمت بندی و تنظیم شده در استاندارد دانشگاه  و مراکز دولتی می باشد.

توجه : در صورت  مشاهده  بهم ریختگی احتمالی در متون زیر ،دلیل ان کپی کردن این مطالب از داخل فایل ورد می باشد و در فایل اصلی مقاله Review of the prediction power of Altman and Ohlson Models in predicting bankruptcy of Listed Companies in Tehran Stock Exchange – Iran،به هیچ وجه بهم ریختگی وجود ندارد

بخشی از متن مقاله Review of the prediction power of Altman and Ohlson Models in predicting bankruptcy of Listed Companies in Tehran Stock Exchange – Iran :

تعداد صفحات:۱۸

چکیده:

Current collapses of big companies and the worse fluctuations of the financial markets has evoked the awareness of the stakeholders and mangers to utilize suitable tools to predict the financial distress of companies. One of such tools is the application of financial ratios as independent variables and developing models to predict bankruptcy issue. The objective of this study is first to test the prediction power of original Altman (1983) and Ohlson (1980) models on the dataset of Iranian listed companies and secondly by applying Multiple Discriminant Analysis (i.e. MDA) and Logit Analysis statistical techniques on the same dataset, develop a suitable prediction model for bankruptcy of listed companies in the economic environment of Iran. It was Finally concluded that both original Ohlson bankruptcy prediction model in 1980 without any modification of multipliers and coefficients and Logistic regression technique showed better prediction results than original Atman model in 1983 or Discriminat analysis technique.