Predicting corporate bankruptcy using the framework of Leland-Toft: evidence from U.S.
نویسندگان
چکیده
منابع مشابه
The Performance of the Calibrated Leland - Toft Model Howard
A common wisdom about term structure models is that they predict much lower spreads than the observed spreads for investment-grade bond, and most of them tend to overpredict spreads for junk bonds. Among them, the Leland-Toft model is perhaps most controversial. Some studies show it always overpredict spreads, in some cases they can be as high as over 5000 bps, yet other studies show it generat...
متن کاملPredicting Bankruptcy: Evidence from Israel
In this study, we conducted an empirical investigation of whether it is possible to rely on two versions of the Altman Model (1968) to predict financial failure of publicly traded companies in Israel between 2000 and 2007. The findings of the study indicated that given the sample and the study term, the preferable model for predicting financial failure of Israeli companies is the Ingbar version...
متن کاملPredicting Financial Distress in Tehran Stock Exchange
Companies incur significant costs from the financial distress. Predicting financial distress will have an important role in preventing bankruptcy. The aim of the present study is to predict the financial distress costs using the Leland and Toft models, during 1996 and 1998. This study examines data relating to 49 companies listed in the Tehran stock exchange collected over ten years from 2005 t...
متن کاملCorporate bankruptcy prediction using data mining techniques
The interest in the prediction of corporate bankruptcy is increasing due to the implications associated with this phenomenon (e.g. economic, and social) for investors, creditors, competitors, government, although this is a classical problem in the financial literature. Two kinds of models are generally adopted for bankruptcy prediction: (i) accounting ratios based models and (ii) market based m...
متن کاملpredicting corporate bankruptcy using artificial neural networks (ann) in tehran stock exchange (tse
the main purpose of this paper is prediction of tse corporate financial bankruptcy using artificial neural networks. the mean values of key ratios reported in past bankruptcy studies were selected for neural network inputs (working capital to total assets, net income to total assets, total debt to total assets, current assets to current liabilities, quick assets to current liabilities). the neu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Quantitative Finance
سال: 2019
ISSN: 1469-7688,1469-7696
DOI: 10.1080/14697688.2019.1667519