From the course: AI in Fintech Essential Training (2019)
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Evaluating risk in P2P lending
From the course: AI in Fintech Essential Training (2019)
Evaluating risk in P2P lending
- [Instructor] The neat thing about the rise of online lending and crowdfunded-based lending is that there's so much data available with it. So I've gone through and I've pulled some basic data from LendingClub on some of the loans they've made in the past and we might use this data to go through and understand what are the risk factors that drive delinquency in a loan or charge-offs in a loan. Now, notice, I've pulled a very limited dataset of our purposes. We've actually only got 200 loans available at this point but LendingClub has made tens of thousands of loans, so if you'd like, you can do this exercise on your own. I'm in the 03_07_Begin Excel file to get us started though. Now, what you'll see here is we've got a loan_id, the loan_amount, term, interest_rate, the grade on the loan and a variety of other pieces of information. Some of our information is numerical like the loan amount, other pieces…
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Contents
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The new world of online investing1m 48s
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How roboadvising works4m 29s
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Roboadvising portfolios5m
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AI and its coming role in roboinvesting2m 38s
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Alternative investments in online investing4m 37s
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Borrowing and lending with online P2P markets4m 13s
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Evaluating risk in P2P lending5m 50s
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