Liquidity, Debt Denomination, and Currency Dominance
Author
Abstract
Suggested Citation
Note: AP CF DAE IFM ME
Download full text from publisher
Other versions of this item:
- Coppola, Antonio & Krishnamurthy, Arvind & Xu, Chenzi, 2023. "Liquidity, Debt Denomination, and Currency Dominance," Research Papers 4075, Stanford University, Graduate School of Business.
- Coppola, Antonio & Krishnamurthy, Arvind & Xu, Chenzi, 2023. "Liquidity, Debt Denomination, and Currency Dominance," CEPR Discussion Papers 17922, C.E.P.R. Discussion Papers.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Zhengyang Jiang, 2024. "Exorbitant Privilege: A Safe-Asset View," CESifo Working Paper Series 11279, CESifo.
- Xu, Chenzi & Yang, He, 2024. "Real effects of supplying safe private money," Journal of Financial Economics, Elsevier, vol. 157(C).
- Zhengyang Jiang & Arvind Krishnamurthy & Hanno Lustig, 2024. "The Rest of the World’s Dollar-Weighted Return on U.S. Treasurys," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(4), pages 1320-1346, December.
- Xie, Oliver, 2024. "Financial Hedging and Optimal Currency of Invoicing," SocArXiv v8zdk, Center for Open Science.
- Michael B. Devereux & Charles Engel & Steve Pak Yeung Wu, 2023. "Collateral Advantage: Exchange Rates, Capital Flows and Global Cycles," NBER Working Papers 31164, National Bureau of Economic Research, Inc.
- Garofalo, Marco & Rosso, Giovanni & Vicquéry, Roger, 2024.
"Dominant currency pricing transition,"
Bank of England working papers
1074, Bank of England.
- Marco Garofalo & Giovanni Rosso & Roger Vicquery, 2024. "Dominant Currency Pricing Transition," Discussion Papers 2419, Centre for Macroeconomics (CFM).
- Marco Garofalo & Giovanni Rosso & Roger Vicquéry, 2024. "Dominant Currency Pricing Transition," Economics Series Working Papers 1044, University of Oxford, Department of Economics.
- Cécile Bastidon & Myriam Bontonou & Pierre Borgnat & Pablo Jensen & Patrice Abry & Antoine Parent, 2024. "Learning smooth graphs with sparse temporal variations to explore long-term financial trends," Post-Print hal-04731912, HAL.
More about this item
JEL classification:
- E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
- F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- N20 - Economic History - - Financial Markets and Institutions - - - General, International, or Comparative
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BAN-2023-03-20 (Banking)
- NEP-IFN-2023-03-20 (International Finance)
- NEP-MON-2023-03-20 (Monetary Economics)
- NEP-PAY-2023-03-20 (Payment Systems and Financial Technology)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:30984. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.