Eisl, Alexander, Elendner, Hermann, Pichler, Stefan. 2011. Exploring the Performance of Government Debt Issuance. Financial Management Association International (FMA) Annual Meeting, Denver, Vereinigte Staaten/USA, 19.10.-22.10..
BibTeX
Abstract
The performance of governments in issuing debt is despite its importance for finance and welfare empirically an open question. Issuance timing in corporate finance and auction design have been studied extensively, yet skill of debt management offices (DMOs) in auctioning off national debt remains unexplored. We thus develop performance measures for the decisions the offices face: The amount to issue is largely exogenous to them, but they determine its distribution across issue dates (timing) and the choice of instruments (allocation). For a unique dataset of five European DMOs, we apply the measures to assess whether DMOs' issuance strategies are optimized successfully with respect to prevailing market rates, their country's spread, or the mispricing between primary and secondary markets. While we find no ability to outperform the secondary market, Austria and Italy appear to time primary-market effects unfavorably: While they do not, on average, underprice issues severly, they allot more on dates of high underpricing, compared to other DMOs who avoid this. Thus, while government issues do not exhibit strong effects on the secondary market, DMOs are well advised to take primary-market effects into account.
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Status of publication | Published |
---|---|
Affiliation | WU |
Type of publication | Paper presented at an academic conference or symposium |
Language | English |
Title | Exploring the Performance of Government Debt Issuance |
Event | Financial Management Association International (FMA) Annual Meeting |
Year | 2011 |
Date | 19.10.-22.10. |
Country | United States/USA |
Location | Denver |
URL | http://www.fma.org/Denver/ |
Associations
- Projects
- PhD Programm: Vienna Graduate School of Finance
- People
- Eisl, Alexander (Details)
- Elendner, Hermann (Former researcher)
- Pichler, Stefan (Details)
- Organization
- Research Institute for Computational Methods FI (Details)
- Institute for Financial Research IN (Details)
- Institute for Finance, Banking and Insurance IN (Details)