Dr Sanjiv Das presents "Using R for Analyzing Loans, Portfolios and Risk"

March 5, 2012
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(This article was first published on Revolutions, and kindly contributed to R-bloggers)

In a free webinar tomorrow at 10AM Pacific, Professor of Finance Dr Sanjiv Das will present, "Using R for Analyzing Loans, Portfolios and Risk: From Academic Theory to Financial Practice". I saw a version of Dr Das's talk a couple of months ago at the Bay Area R User Group meeting, and it was outstanding. I particularly recall his analysis to find the best method to modify a home loan facing foreclosure: is it better to forgive some of the principal, or to lower the interest rate? (This analysis was used to design some of the government's home loan mortgage modification incentives.) If you're interested in R and finance, or simply want to learn more about some of the factors behind the home mortgage crisis, this is not to be missed. The full agenda is below, and you can register for the webinar at the link below.

Dr. Sanjiv Das has held positions as at Citibank, Harvard University Professor and Program Director at the FDIC’s Center for Financial Research. His research relies heavily on R for analysis and decision-making. In this webinar, Dr. Das will present a mix of some of his more current and topical research that uses R-based models, and some pedagogical applications of R. He will present:

  • An R-based model for optimizing loan modifications on distressed home loans, and the economics of these modifications.
  • A goal-based portfolio optimization model for investors who use derivatives.
  • Using network modeling tools in R to detect systemically risky financial institutions.
  • Using R for web delivery of financial models and random generation of pedagogical problems.

Promising to be entertaining and enlightening, this webinar will emphasize the interplay of mathematical models, economic problems, and R.

Revolution Analytics webinars: Using R for Analyzing Loans, Portfolios and Risk: From Academic Theory to Financial Practice

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