Arbeitspapier

Resolving filed banks: Uncertainty, multiple bidding & auction design

The Federal Deposit Insurance Corporation (FDIC) resolves insolvent banks using an auction process in which bidding is multidimensional and the rule used to evaluate bids along the different dimensions is proprietary. Uncertainty about the scoring rule leads banks to simultaneously submit multiple differentiated bids. This resolution mechanism typically results in considerable losses for the FDIC-$90 billion during the financial crisis. The objective of this paper is to see whether the mechanism could be improved. To do so, we propose a methodology for analyzing auction environments where bids are ranked according to multiple attributes chosen by bidders, but where there is uncertainty about the scoring rule used to evaluate the different components of the bids. Using this framework, which extends structural estimation techniques for combinatorial auctions, and FDIC data summarizing bids, we back out the underlying preferences of banks for failed institutions. With these we perform counterfactuals in which we eliminate uncertainty and/or multiple bidding. Our findings suggest that the FDIC could reduce the cost of resolution by around 17 percent by announcing the scoring rule before bidding begins.

Sprache
Englisch

Erschienen in
Series: Bank of Canada Staff Working Paper ; No. 2019-30

Klassifikation
Wirtschaft
Econometrics of Games and Auctions
Auctions
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
Thema
Financial institutions
Econometric and statistical methods

Ereignis
Geistige Schöpfung
(wer)
Allen, Jason
Clark, Robert
Hickman, Brent
Richert, Eric
Ereignis
Veröffentlichung
(wer)
Bank of Canada
(wo)
Ottawa
(wann)
2019

DOI
doi:10.34989/swp-2019-30
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Allen, Jason
  • Clark, Robert
  • Hickman, Brent
  • Richert, Eric
  • Bank of Canada

Entstanden

  • 2019

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