Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
552319 | Decision Support Systems | 2011 | 11 Pages |
Abstract
We define and identify bidding strategies in real-life small loan auctions (Prosper.com). In such auctions, lenders bid for borrowers' loan listings and the winners get to fund the loan at an interest rate determined by the auction. The exceptionally large empirical database provided by Prosper.com offers a unique opportunity to test and further develop the theory of online auctions. This study shows that bidding behavior is not homogeneous among bidders, as the traditional auction theory suggests. Instead, bidders use many different bidding strategies. Moreover, learning and bidders' consistency over time in different auctions is studied.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Lauri Puro, Jeffrey E. Teich, Hannele Wallenius, Jyrki Wallenius,