Borrower Decision Aid for people-to-people lending

In setting up, and bidding in online auctions, people face difficult strategic decisions. In this study, a Borrower Decision Aid is introduced, which will help formalize the decision making process of the sellers, or borrowers in this case, in one particular P2P loan auction site, Prosper.com. The vast amount of real-life bidding data available in this online auction enables us to build new kinds of tools for decision makers. The Borrower Decision Aid helps the borrower to quantify her strategic options, such as starting interest rate, and the amount of loan requested. We identify which variables concerning the borrower are related to the probability of successfully securing a loan and the final interest rate.

[1]  Jie Zhang,et al.  The roles of players and reputation: Evidence from eBay online auctions , 2006, Decis. Support Syst..

[2]  Toshiyuki Sueyoshi,et al.  An agent-based decision support system for wholesale electricity market , 2008, Decis. Support Syst..

[3]  Paul R. Milgrom,et al.  A theory of auctions and competitive bidding , 1982 .

[4]  Ronald M. Harstad,et al.  Information Impact and Allocation Rules in Auctions with Affiliated Private Values: A Laboratory Study , 1987 .

[5]  J. K. Murnighan,et al.  Starting low but ending high: a reversal of the anchoring effect in auctions. , 2006, Journal of personality and social psychology.

[6]  Anthony M. Kwasnica,et al.  A New and Improved Design for Multiobject Iterative Auctions , 2005, Manag. Sci..

[7]  Jérémie Gallien,et al.  A Smart Market for Industrial Procurement with Capacity Constraints , 2005, Manag. Sci..

[8]  Ronald M. Harstad Dominant Strategy Adoption and Bidders' Experience with Pricing Rules , 2000 .

[9]  D. Rubinfeld,et al.  Econometric models and economic forecasts , 2002 .

[10]  Ali Hortaçsu,et al.  Winner's Curse, Reserve Prices and Endogenous Entry: Empirical Insights from Ebay Auctions , 2003 .

[11]  Michiel C. van Wezel,et al.  A support system for predicting eBay end prices , 2008, Decis. Support Syst..

[12]  Jyrki Wallenius,et al.  A multi-attribute e-auction mechanism for procurement: Theoretical foundations , 2006, Eur. J. Oper. Res..

[13]  David H. Reiley,et al.  Pennies from Ebay: The Determinants of Price in Online Auctions , 2000 .

[14]  R. McAfee,et al.  Auctions and Bidding , 1986 .

[15]  Jyrki Wallenius,et al.  Decision support for multi-unit combinatorial bundle auctions , 2007, Decis. Support Syst..

[16]  Robert J. Kauffman,et al.  Are online auction markets efficient? An empirical study of market liquidity and abnormal returns , 2009, Decis. Support Syst..

[17]  K. Reynolds,et al.  Determinants of internet auction success and closing price: An exploratory study , 2003 .

[18]  J. Kagel,et al.  Winner’s Curse , 2014 .

[19]  Alok Gupta,et al.  Toward Comprehensive Real-Time Bidder Support in Iterative Combinatorial Auctions , 2005, Inf. Syst. Res..