justin bem
2008-Oct-14 09:34 UTC
[R] Re : (a) Credit Scoring models and (b) aceesing earlier emails
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saggak
2008-Oct-14 10:19 UTC
[R] Re : (a) Credit Scoring models and (b) aceesing earlier emails
Thanks Mr Justin, The site indeed contains lots of articles. But my immediate query is What is the process of forming the credit scoring model i.e. how do you construct the credit scoring card and what are the steps one should follow? As I need to meet the deadline, I need this information on top priority basis. Saggak --- On Tue, 14/10/08, justin bem <justin_bem@yahoo.fr> wrote: From: justin bem <justin_bem@yahoo.fr> Subject: Re : [R] (a) Credit Scoring models and (b) aceesing earlier emails To: saggak1908@yahoo.co.in Cc: "R Maillist" <r-help@stat.math.ethz.ch> Date: Tuesday, 14 October, 2008, 3:04 PM Go to this link http://defaultrisk.com/ you will find a lot about credit scoring Justin BEM BP 1917 Yaoundé Tél (237) 99597295 (237) 22040246 ----- Message d'origine ---- De : saggak <saggak1908@yahoo.co.in> À : r-help@r-project.org Envoyé le : Mardi, 14 Octobre 2008, 9h11mn 53s Objet : [R] (a) Credit Scoring models and (b) aceesing earlier emails Hi! I have been reading lots of queries regarding logistic regression as well as Credit scoring model and the related replies, which I must admit are full of wisdom and help us to understand where do we stand. The contributions of Frank E Harrell Jr, etc are invaluable. Incidentally I am also trying to work on Credit scoring model and initially I tried to use the multiple regression etc. and now I am using logistic regression using R. I have two queries. (a) Can someone guide me as to how the credit score model should be developed step by step? I mean what are the steps involved in developing credit scorecard model? I have a sample database of 78000 bank customers and the period is April 2004 – March 2007 and I also have the their default / non – default position as on March 01, 2008. (There are 13756 defaulters). So using these defaulters (coded as 1) / non defaulters (coded as 0) and using logistic regression, I have arrived at regression coefficients and then the Probability of default for each of these 78000 customers. Can someone guide me regarding the flow of credit scoring model? i.e. What are the steps involved in developing Credit scoring models? I don’t have access to the books, as these are most of the times very expensive and my organization being small and new, can’t afford buying them as of now. I hope you understand my problem. (b) If I want to refer to earlier mails (I have recently become member of this R group), how do I access these mails e.g. suppose I want to refer to all the mails dealing with logistic regression, how do I do it? Saggak Connect with friends all over the world. Get Yahoo! In [[alternative HTML version deleted]] Add more friends to your messenger and enjoy! Go to http://messenger.yahoo.com/invite/ [[alternative HTML version deleted]]
Greg Snow
2008-Oct-14 14:54 UTC
[R] Re : (a) Credit Scoring models and (b) aceesing earlier emails
> -----Original Message----- > From: r-help-bounces at r-project.org [mailto:r-help-bounces at r- > project.org] On Behalf Of saggak > Sent: Tuesday, October 14, 2008 4:20 AM > To: justin bem > Cc: r-help at r-project.org > Subject: Re: [R] Re : (a) Credit Scoring models and (b) aceesing > earlier emails > > Thanks Mr Justin, > > The site indeed contains lots of articles. But my immediate query is > What is the process of forming the credit scoring model i.e. how do you > construct the credit scoring card and what are the steps one should > follow? > > As I need to meet the deadline, I need this information on top priority > basis.Then I would suggest that you hire someone with expertise in this area to do it for you or at least help you with it. I am far from being an expert in credit score models, but the look of your original question suggests that the answer to your question would be a short course in the area or part of a full college course. Even if someone on the list was willing and able to give you a full answer (and no one is obligated to), I doubt that a full answer could be given in this format. It is a mistake in any statistical procedure to assume that a simple set of steps can give a complete answer without a full understanding of why those steps were taken, why others were not, and when to do which steps. You have been pointed to some resources, and there may be others available. If you want to do any type of modeling right, then you need to be willing to invest the time and effort needed into understanding the full topic. If you are not willing/able to invest that time and effort, then hire someone who has invested the time and effort to understand. -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.snow at imail.org 801.408.8111