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Credit cards have exploded in popularity. There are no more credit cards and credit card options available than ever before. There are credit cards available for all kinds of borrowers and they are designed to fit a whole range of circumstances. They have many advantages and there are many good reasons why you will need a credit card, however you should always remember that credit cards will cost you money, and they also carry the risk that they will allow you to overspend, and your finances can get out of hand, so you should really only take out a credit card if you have a genuine need for it.

One of the main reasons for taking out a credit card is for people who travel a lot. If you are frequently going abroad, and wish to have easy access to money, and a method of paying for things at all times, a credit card is a very good option. First of all it is very convenient, as credit cards can be used almost anywhere on the planet. You really shouldn’t have to hard a time getting access to money if you carry one, no matter where you find yourself. You also don’t need to worry about different currencies and always having some available, as the credit card will work no matter what currency you need to carry out the transaction in. Credit cards will charge a fee for these services however. The transaction will be charged using the credit card provider’s rates of exchange, and then, as well as this, most card providers also charge a loading fee for using the card abroad which may be as high as two to three per cent of the transaction.

Another reason credit cards are becoming increasingly popular is for shopping online. Paying for goods bought online is extremely fast and convenient. It is also preferable than giving out sensitive bank details over the Internet. However, there are also risks involved with paying for goods and services online and you should be aware of the dangers of identity theft. This is a growing problem, and while there are measures in place to reduce the risks to you, you may want to consider paying for goods and services online, through an intermediary payment service such as pay pal. Alternatively, if you are sure you are dealing with a reputable and well-known company, and then you can probably give over your details in safety.

Credit scores are used to determine the credit risk of loan applications.  This is done using historical data as well as statistical techniques.  The score can be used by banks to produce a rank for the loan applicants and borrowers in terms of risk factors.

To build this model developers analyze historical data of previously made loans.  They do this to determine which borrower characteristics will help them to predict whether the loan had a good performance or not.  The better the model design, the higher the percentage will be.  A higher percentage of high scores are awarded to borrowers whose loans perform well and a lower percentage is given to those whose loans do not.  However, no model is absolutely perfect so some bad accounts receive higher scores then some of the better ones.

Reports on borrowers come from loan applications and from the credit bureaus.  They will contain such information as the applicants’ monthly income, their outstanding debt, their financial assets, how well they performed on a previous loan, whether they own a home or rent one, the type of bank they use, and even how long they have been at their job.  The regression analysis relating loan performance to the many variables is used to discover which combination of factors will best predict how much weight each factor should hold.  Because of the correlations between each of the factors, it is very possible that some of the factors the model developer begins with will not be in the final model, due to little value added considering the other variables in the model.

According to Fair, Issac and Company, Inc, a leading scoring model developer, it is quite possible that sixty variables will be considered when developing a model but only about twelve might end up in the final score card.  In most scoring systems, the higher the score means the lower the risk.  A lender may have a set cutoff score based on the amount of risk they are willing to take.  If they followed the model carefully, the lender would approve all applicants whose score was higher than the cutoff and deny all applicants whose score was lower than that of the cutoff.  Although this system is very accurate, it still cannot predict with certainty any individual’s loan performance.  Even so, it should give a fairly accurate prediction.

In order to build a good scoring model, developers need a large amount of historical data that will reflect the loan performance of the applicant in both good and bad economical conditions.  In the past, banks only used personal history, credit reports, and judgment to make credit decisions.  During the past twenty five years however, credit scoring has become the way to go as far as applicant decisions for credit cards and any other form of credit.  Scoring is now also used in mortgage origination.  Both the Federal Home Loan Mortgage Corporation and the Federal National Mortgage Corporation have encouraged the use of credit scoring.

Credit scoring has become such a necessity in the issuing of loans that even private mortgage companies are using it to screen their potential customers.