Arbeitspapier
Liquidity premia in CDS markets
We develop a state-space model to decompose bid and ask quotes of CDS into two components, fair default premium and liquidity premium. This approach gives a better estimate of the default premium than mid quotes, and it allows to disentangle and compare the liquidity premium earned by the protection buyer and the protection seller. In contrast to other studies, our model is structurally much simpler, while it also allows for correlation between liquidity and default premia, as supported by empirical evidence. The model is implemented and applied to a large data set of 118 CDS for a period ranging from 2004 to 2010. The model-generated output variables are analyzed in a difference-in-difference framework to determine how the default premium, as well as the liquidity premium of protection buyers and sellers, evolved during different periods of the financial crisis and to which extent they differ for financial institutions compared to non-financials.
- Language
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Englisch
- Bibliographic citation
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Series: SAFE Working Paper ; No. 173
- Classification
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Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Asset Pricing; Trading Volume; Bond Interest Rates
- Subject
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CDS
liquidity
- Event
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Geistige Schöpfung
- (who)
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Kamga, Merlin Kuate
Wilde, Christian
- Event
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Veröffentlichung
- (who)
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Goethe University Frankfurt, SAFE - Sustainable Architecture for Finance in Europe
- (where)
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Frankfurt a. M.
- (when)
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2017
- DOI
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doi:10.2139/ssrn.3005276
- Handle
- URN
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urn:nbn:de:hebis:30:3-437450
- Last update
-
20.09.2024, 8:20 AM CEST
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Kamga, Merlin Kuate
- Wilde, Christian
- Goethe University Frankfurt, SAFE - Sustainable Architecture for Finance in Europe
Time of origin
- 2017