scholarly journals Dynamic Prediction of Financial Distress Using Malmquist DEA

2015 ◽  
Author(s):  
Zhiyong Li ◽  
Jonathan N. Crook ◽  
Galina Andreeva
Keyword(s):  
Financial Distress ◽  
Dynamic Prediction

scholarly journals Dynamic prediction of financial distress using Malmquist DEA

2017 ◽  
Vol 80 ◽  
pp. 94-106 ◽  
Author(s):  
Zhiyong Li ◽  
Jonathan Crook ◽  
Galina Andreeva
Keyword(s):  
Financial Distress ◽  
Dynamic Prediction

scholarly journals Dynamic Prediction of Financial Distress Based on Kalman Filtering

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Qian Zhuang ◽  
Lianghua Chen
Keyword(s):  
Kalman Filtering ◽  
Financial Distress ◽  
Process Model ◽  
Manufacturing Industry ◽  
Prediction Models ◽  
Prediction Algorithm ◽  
Dynamic Prediction ◽  
Discriminant Model ◽  
Financial Distress Prediction ◽  
Distress Prediction

The widely used discriminant models currently for financial distress prediction have deficiencies in dynamics. Based on the dynamic nature of corporate financial distress, dynamic prediction models consisting of a process model and a discriminant model, which are used to describe the dynamic process and discriminant rules of financial distress, respectively, is established. The operation of the dynamic prediction is achieved by Kalman filtering algorithm. And a generaln-step-ahead prediction algorithm based on Kalman filtering is deduced in order for prospective prediction. An empirical study for China’s manufacturing industry has been conducted and the results have proved the accuracy and advance of predicting financial distress in such case.

PENGARUH PERPUTARAN PIUTANG DAN SOLVABILITAS TERHADAP KONDISI FINANCIAL DISTRESS PERUSAHAAN MANUFAKTUR SEKTOR GARMEN DAN TEKSTIL DI BURSA EFEK INDONESIA

2018 ◽  
Vol 19 (2) ◽  
pp. 87
Author(s):  
Siska Wulandari
Keyword(s):  
Financial Distress ◽  
Free Market ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Working Capital ◽  
Leverage Ratio ◽  
Ratio Effect ◽  
Waste Bank ◽  
Solvency Ratio

Manufacture Sub Sector Garment And Textile have financial distress condition. Increas of sales is one of choice for company can be competitive in free market. But increase of sales will be followed by the many possibilities of uncollected receivable or the low receivable turnover which can effect forced the company to further provide working capital. One way is to get working capital from a third part or what we call debt.This research aims to determine the effect of receivable turnover and the solvency ratio toward the financial distressThe problems of the research were: 1) is the receivable turnover effect toward financial distress condition on Garmen and textile company Listed on IDX on 2011-2015? 2) is the leverage ratio effect toward financial distress condition on Garmen and textile company Listed on IDX on 2011-2015 ? 3) Are the receivable turnover and solvency ratio effect toward financial distress condition on Garmen and textile company Listed on IDX on 2011-2015?The sample of this research is 11 Manufacture company of sub sector Garmen And Textile were taken by using purposive sampling techniques. This research data used secondary data that getting from literature review. Data were tested using multiple linear regression analysis to determine the effect between one variable with another variables, and the data was then processed using SPSS 22.0 for windows.Result of the research showed that partially, receivables turnover hadn’t a significant effect toward  the financial distress. Partially, solvency ratio (Debt to Asset) had a significant influence toward financial distress Simultaneously, receivable turnover and solvency ratio had a significant effect toward financial distress. Kata kunci:Waste Bank, Waste Bank Management, Waste Bank Basic Concepts, Economic Improvement of the Family

Obesity and Household Financial Distress

2017 ◽  
Vol 6 (1) ◽  
pp. 133-178 ◽  
Author(s):  
Katherine Guthrie ◽  
Jan Sokolowsky
Keyword(s):  
Financial Distress
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