Libor misreporting as a Bayesian game with unobserved heterogeneity /

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Bibliographic Details
Author / Creator:Bonaldi Varon, Jean Pietro, author.
Imprint:2015.
Ann Arbor : ProQuest Dissertations & Theses, 2015
Description:1 electronic resource (59 pages)
Language:English
Format: E-Resource Dissertations
Local Note:School code: 0330
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/10773305
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Other authors / contributors:University of Chicago. degree granting institution.
ISBN:9781339097480
Notes:Advisors: Ali Hortacsu Committee members: Brent R. Hickman; Azeem M. Shaikh.
Dissertation Abstracts International, Volume: 77-02(E), Section: A.
English
Summary:Libor is an estimate of interbank borrowing costs computed daily by regulators from quotes submitted by a fixed panel of banks. There is evidence suggesting that several banks distorted these rates in recent years by misreporting their borrowing costs. In this paper, I use structural econometric methods from the empirical auctions literature to estimate a model of strategic quote submission that identifies a set of parameters determining banks incentives to misreport, as well as the distributions of their borrowing costs. The model is partially identified even when there is unobserved heterogeneity in the form of a common cost component that is known by all banks but unobservable to the econometrician, and that is allowed to be non-stationary. The partial identification results answer the question of how much information about the borrowing costs of banks can be inferred from their strategic quotes alone. I find that the estimated costs are more consistent with banks' CDS spreads than their quotes. When relying on additional measures of average funding costs, the estimation of the model can also be used to determine to what extent misreporting was motivated by signaling or by banks' portfolio exposure to Libor. Overall, I find that sending signals of credit worthiness seems to be the main driver of systematic misreporting.