Pricing Credit Products
1st Edition, Kindle Edition
Stanford University Press · Ebook · July 10, 2018
In the wake of the 2008 financial crisis, it became apparent that pricing loans in a way that is profitable for lenders and sensitive to risk is anything but simple.
We earn from qualifying purchases.
- Who it’s for
- Explore how lenders apply machine learning and optimization to set prices across customer segments.
- Genres
- Banks & Banking, Financial Risk Management, Financial Services
- Published
- Stanford University Press, July 10, 2018
Nearest books
Matched by what the books are about, then ordered by what their readers also loved.
Financial Data Analytics With Machine Learning, Optimization and StatisticsSam Chen, Ka Chun Cheung59% match
Rules of the Lending GameStuart Wemyss55% matchShares Banks & Banking
Mortgage Management for DummiesEric Tyson, Robert S. Griswold54% match
Deep Learning in BankingCristian Bravo, Sebastian Maldonado54% matchShares Banks & Banking
106 Mortgage Secrets All Borrowers Must Learn -- But Lenders Don't TellGary W. Eldred54% match
Financial Modeling and ValuationPaul Pignataro54% match
Investment BankingJoshua Rosenbaum, Joshua Pearl53% match
More Mortgage MeltdownWhitney Tilson, Glenn Tongue52% matchShares Banks & Banking
Start with three books, and this one can be the first.
Members get a new edition every morning: a route out from their books to essays, research and talks, with the reason for each.
Start with this bookAbout this book
In the wake of the 2008 financial crisis, it became apparent that pricing loans in a way that is profitable for lenders and sensitive to risk is anything but simple. Increasingly, lenders are following the lead of other retailers by segmenting their market and more precisely targeting customers. To do this successfully, lenders must engage analytic approaches, such as machine learning and optimization, in setting prices for each segment.
Continue reading
Robert L. Phillips worked with major banks and financial services companies for more than a decade to help them improve their pricing capabilities. This book draws on his experience, as well as the latest academic research, to demonstrate how lenders can apply the proven techniques of price optimization to responsibly improve the profitability of their loans. It is a go-to resource for academics and professionals alike, particularly lenders who are looking for ways to do better business in an increasingly competitive (and regulated) market.
Loan Price Optimization
Explore how lenders apply machine learning and optimization to set prices across customer segments.
Come here for
- Loan pricing that balances lender profitability with sensitivity to risk
- Market segmentation and targeted pricing for lending
Expect
- Applications of price optimization to loan profitability
- Attention to competitive and regulated lending markets
Where it sits
| Banks & Banking | 71% |
|---|---|
| Financial Risk Management | 62% |
| Financial Services | 53% |
Percentages are BookFrontier’s reading of the book.
Publisher categories
- Financial Services
- Authors
- Robert L. Phillips
- Publisher
- Stanford University Press
- Published
- July 10, 2018
- Format
- Ebook
- Reading lane
- Financial Services