How does investors' information about a country's fundamentals, and the fact that this information may be asymmetrically held, affect a country's financing cost? Motivated by this question, and by the observation that sovereign bonds are usually auctioned in large lots to a large number of potential investors, we develop a novel model of auctions with asymmetric information that relies on price-taking and rational expectations. We first characterize sovereign bond prices for different degrees of asymmetric information under two commonly-used protocols: discriminatory-price auctions and uniform-price auctions. We show that there is trade-off between these protocols if information is sufficiently asymmetric: expected bond yields are higher when pricing is discriminatory, but yield volatility is higher when pricing is uniform. We then study endogenous information acquisition and find that (i) discriminatory auctions may display multiple welfare-ranked informational equilibria, and (ii) investors are less likely to acquire information in uniform auctions.
Macroeconomics Conference for useful comments. The usual waiver of liability applies. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes.You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. licence. www.econstor.eu If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated Working Paper SeriesMacroeconomic effects of secondary market trading Daniel NeuhannDisclaimer: This paper should not be reported as representing the views of the European Central Bank (ECB). The views expressed are those of the authors and do not necessarily reflect those of the ECB. No 2039 / March 2017 ECB -Lamfalussy Fellowship Programme Lamfalussy FellowshipsThis paper has been produced under the ECB Lamfalussy Fellowship programme. This programme was launched in 2003 in the context of the ECB-CFS Research Network on "Capital Markets and Financial Integration in Europe". It aims at stimulating high-quality research on the structure, integration and performance of the European financial system. The Fellowship programme is named after Baron Alexandre Lamfalussy, the first President of the European Monetary Institute. Mr Lamfalussy is one of the leading central bankers of his time and one of the main supporters of a single capital market within the European Union.Each year the programme sponsors five young scholars conducting a research project in the priority areas of the Network. The Lamfalussy Fellows and their projects are chosen by a selection committee composed of Eurosystem experts and academic scholars. Further information about the Network can be found at http://www.eufinancial-system.org and about the Fellowship programme under the menu point "fellowships". ECB Working Paper 2039, March 2017 1 AbstractThis paper develops a theory of the credit cycle to account for recent evidence that capital is increasingly allocated to inefficiently risky projects over the course of the boom. The model features lenders who sell risk exposure to non-lender investors in order to relax borrowing constraints, but are tempted to produce and sell off bad assets when asset prices are sufficiently high. Asset prices gradually increase during the boom because non-lender wealth grows as their risk-taking pays off, triggering a fall in asset quality and precipit...
Economics for useful comments. Cole andǪrdonez received support from the NSF through grant 1851707. The usual waiver of liability applies. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.