EconPapers    
Economics at your fingertips  
 

A parametric family of two ranked objects auctions: equilibria and associated risk

Estrella Alonso (), Joaquín Sánchez-Soriano and Juan Tejada ()

Annals of Operations Research, 2015, vol. 225, issue 1, 160 pages

Abstract: This paper deals with simultaneous auctions of two commonly ranked objects following the model studied in Menezes and Monteiro (J. Real Estate Finance Econ., 17(3):219–232, 1998 ). For these problems we introduce a parametric family of auction mechanisms which includes the three classic auctions (discriminatory-price auction, uniform-price auction and Vickrey auction) and we call it the $\mathcal{DUV}$ family. We provide the unique Bayesian Nash equilibrium for each auction in $\mathcal{DUV}$ and prove a revenue equivalence theorem for the parametric family. Likewise, we study the value at risk of the auctioneer as a reasonable decision criterion to determine which auctions in $\mathcal{DUV}$ may be better taking into account the interests of the auctioneer. We show that there are auction mechanisms in $\mathcal{DUV}$ which are better than the classic auction mechanisms with respect to this criterion. Copyright Springer Science+Business Media New York 2015

Keywords: Multi-object auctions; Bayesian Nash equilibrium; Expected revenue; Value at risk (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10479-012-1297-9 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:225:y:2015:i:1:p:141-160:10.1007/s10479-012-1297-9

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-012-1297-9

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-30
Handle: RePEc:spr:annopr:v:225:y:2015:i:1:p:141-160:10.1007/s10479-012-1297-9