P2pLoans

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Title: Lending Club Loan Interest: Factors Contributing Beyond FICO Score

Introduction:

The Lending Club is an online bank that claims to "cut the cost and complexities of bank lending and pass the savings on to borrowers.(how-peer-lending-works.action club). In this study we will use lending data on Loans made by Lending Club to find and quantify associations among the items that make up a borrowers profile. These data include information on 'Amount.Requested', 'Amount.Funded.By.Investors', 'Interest.Rate', 'Loan.Length', 'Loan.Purpose','Debt.To.Income.Ratio', 'State', 'Home.Ownership', 'Monthly.Income', 'FICO.Range', 'Open.CREDIT.Lines', 'Revolving.CREDIT.Balance', 'Inquiries.in.the.Last.6.Months'and 'Employment.Length'. All names have been changed to numbers to protect the innocent.

Methods:

Statistical analysis techniques shall be applied using the 'R' r statistical software package running as a server on a Linux computer.
Data Collection
Exploratory Analysis
Statistical Modeling
Reproducibility

Results:

Conclusions:

References

<biblio force=false>

  1. club https://www.lendingclub.com/home.action Lending Club, Suite 300 San Francisco, CA 94105, USA
  1. r http://www.r-project.org/ The R Project for Statistical Computing, version 2.15.2 (2012-10-26) -- "Trick or Treat"

</biblio>