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The Research is Applying Financial and Non-financial Information to Establish a Pre-caution Model for Electronics Industry

Author: LinSuZhen
Tutor: LuoShaoDe
School: Jinan University
Course: Accounting
Keywords: Financial crisis Bank credit Stepwise regression
CLC: F426.6
Type: Master's thesis
Year: 2006
Downloads: 236
Quote: 1
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Abstract


The credit business is one of the bank's major commodities , the NPL ratio is an important measure of credit quality pointer . In recent years , many large listed companies have been incidents bounced checks, making loans of the banking sector as a whole physique Taiwan deteriorating , serious threat to the Bank of living space . The study hopes to understand the credit of enterprises in the financial industry practice , produce the NPL may affect factors , and screening simplified into a few key factors , as bank credit in the future . Bank credit or not in the past , usually by the financial statements to observe and explanations , this article attempts to separate add -financial variables , corporate managers and financial executives personnel changes , changes in financial forecasting and accountants to its the views expressed in the earnings change CPAs and other factors to explore the impact of the non-financial variables on corporate crisis early warning model , in order to be able to build one of the most appropriate early warning model to help banks make more accurate judgments . In this study, 26 financial crises in recent years under the City 's electronic company and the current three hundred normal random sampling to select 104 , so a total of 130 as the study sample . Use logic logistic regression model to find issued significant financial variables of sex , and to construct a financial crisis early warning model , and add another non-financial variables , in order to verify that the added predictive ability of the non-financial variables model constructed crisis has to improve . The empirical results show that : financial early warning model , debt ratio , the ratio of cash flow , earnings per share is highly significant ; replacement of senior managers and treasurers number of non-financial variables , the number of changes accounting , two kinds of non-financial variable is highly significant . Join forecast from 50% to 73% , overall prediction rate increased to 93% of non-financial variables complete early-warning model of crisis .

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