PREDIKSI FINANCIAL DISTRESS MELALUI ALTMAN Z-SCORE

Predicting Financial Distress of Companies: Revisiting the Z-score and Zeta Models

LORETA Z Score Biofeedback

Today we are riding the crest of a wave of converging new neuroscience In the physics of source localization the forward solution is where a source inside a sphere determines the electrical potential on the surface as calculated using Maxwell's 1864 equations. In contrast, the inverse problem is where the sources are unknown and the location of the sources are estimated by measuring the electri...

Z-score Model on Financial Crisis Early-Warning of Listed Real Estate Companies in China: a Financial Engineering Perspective

Financial engineers developed quantitative models that help firms making financial decisions in the face of risk and uncertainty. Z-score model is one of the most frequently used risk early warning models in financial engineering, but it needs further research to prove whether it is suitable for China’s burgeoning real estate enterprises. The financial data of China’s 40 listed real estate comp...

Predicting 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...

Corporate Financial Distress: An Empirical Analysis of Distress Risk