By not considering whether the person can not afford the payments if it has increased in the future, many of these loans can be put borrowers at risk of default. [23] According to a study by Fitch, the accuracy of the prediction of the FICO crime has decreased in recent years. In 2001, there checking credit score Georgia were an average of 31 points of difference between borrowers FICO score, which had failed and those who pay checking credit score Georgia on time. Some banks have reduced their dependence on the FICO score. For checking credit score Georgia example, Golden West Financial (which merged with Wachovia Bank in 2006) abandoned the FICO score to a more expensive property to a potential borrower and employment before taking a loan [22]. Credit scorecards Credit scorecards are mathematical models that attempt to provide a quantitative measure of the probability that a customer shows a defined behavior (eg, default, bankruptcy or a lower level of crime) with your current position or proposed credit with a lender. Dashboards are constructed and optimized to evaluate the credit of a homogeneous population (eg, files with the default, files that are very young, the files that have very little information ).
Most systems empirically derived credit score between 10 and 20 variables [1]. order a credit report
Scores of application tend to be dominated by data from the credit bureau that is normally over 80% of the predictive power of about 60% in late checking credit score Georgia 1980 [2] to instrument panels in the United Kingdom.
In fact there checking credit score Georgia was an increasing tendency to minimize the applicant or unverifiable variables from the dashboard, which increased the contribution of data from the credit bureau.
Observations commonly used credit score or data of customers who stopped paying their loans more comments on a large number of customers who have defaulted. Statistically, estimation techniques such as logistic regression or probit are used to create estimates of the probability of default observation based on historical data. This model can be used to predict the probability of default for new customers with the characteristics of the same observation (eg, age, income, owner). free credit report government The default checking credit score Georgia probabilities are then changed to a checking credit score Georgia "credit score." This score checking credit score Georgia ranks customers by level of risk, without explicitly identifying the probability of default.
A number of credit rating techniques, checking credit score Georgia such as interest rate risk modeling, checking credit score Georgia model credit as the weight of the test models, linear regression or logistic. The main differences involve the assumptions required by the explanatory variables and the ability to bit pattern from the results continuously. Some of these techniques are superior to others directly estimating the probability of default. Despite academic research and industry much more, no technique was superior in predicting default in all circumstances. is an agency checking credit score Georgia of consumer credit in the United States, considered one of the three major credit reporting agencies in America, Experian and TransUnion. Founded in 1899, Equifax is the largest of the three agencies and gathers and maintains information on more than 400 million users of credit in the world.
Headquartered in Atlanta, Georgia, Equifax is a global service provider with U.S. $ 1.5 billion in annual revenues and 7,000 employees in 14 countries checking credit score Georgia +. free credit reporting agency The company grew quickly and in 1920 with offices in the United States and Canada. In 1960, the retail credit business has been one of the credit bureaus most important of the nation, keeping records of millions of Americans and Canadians. Extensive Retail Properties Company credit information, and is willing to sell to anyone, attracted criticism of the company in 1960 and 1970.
virtually all phases of the life of a person, his marital problems, jobs, school history, childhood, sex life and political activities. "The company also claimed to reward their employees for collecting negative information on consumers.
ไม่มีความคิดเห็น:
แสดงความคิดเห็น