Andere Kunden interessierten sich auch für
![DEEP LEARNING IN PREDICTING FINANCIAL FAILURE]( "DEEP LEARNING IN PREDICTING FINANCIAL FAILURE")
DEEP LEARNING IN PREDICTING FINANCIAL FAILURE39,99 €![DETECTING, PREDICTING AND PREVENTING CORPORATE FAILURE]( "DETECTING, PREDICTING AND PREVENTING CORPORATE FAILURE")
DETECTING, PREDICTING AND PREVENTING CORPORATE FAILURE38,99 €![Role of Corporate Governance on Performance of Listed Companies]( "Role of Corporate Governance on Performance of Listed Companies")
Role of Corporate Governance on Performance of Listed Companies42,99 €![Corporate Governance: Special Reference to Listed Companies in AP]( "Corporate Governance: Special Reference to Listed Companies in AP")
Corporate Governance: Special Reference to Listed Companies in AP51,99 €![Corporate Governance in Namibian Listed Entities]( "Corporate Governance in Namibian Listed Entities")
Corporate Governance in Namibian Listed Entities23,99 €![A Study on Impact of Dividend Policy Determinants of Listed Companies]( "A Study on Impact of Dividend Policy Determinants of Listed Companies")
A Study on Impact of Dividend Policy Determinants of Listed Companies23,99 €![AUDIT COMMITTEES AT LARGE LISTED COMPANIES IN SOUTH AFRICA]( "AUDIT COMMITTEES AT LARGE LISTED COMPANIES IN SOUTH AFRICA")
AUDIT COMMITTEES AT LARGE LISTED COMPANIES IN SOUTH AFRICA51,99 €
This study compares two corporate failure prediction models, namely; multiple discriminant analysis (MDA) and logistic regression (Logit) in an attempt to; identify whether or not financial ratios can be used as indicators of failure in the UK, to identify financial ratios that are most important for detecting potential insolvency of UK s public listed companies and also which model is better in predicting corporate failure. The study employed financial information for a group of 50 distressed and 50 non-distressed UK listed companies during the period 2000 2010. The initial sample of 100 companies was divided into a 70% estimation (training) sample and a 30% holdout (test) sample for the following 4 data sets: First-year data set to predict failure, a second-year data set for a 2 year-ahead prediction, third-year data for a 3 year-ahead prediction, as well as cumulative three-year data to predict distress 1 year ahead by letting the ratios vary in time. For each company, a set of 19 financial ratios reflecting the company s profitability, solvency, asset utilisation, growth ability and size, were calculated and then used in the study.