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~isPartOf:"Discussion paper / Tinbergen Institute"
~person:"Lucas, André"
~subject:"Systemrisiko"
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Lucas, André
Wijnbergen, Sweder van
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Koopman, Siem Jan
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ECONIS (ZBW)
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Score-driven systemic risk signaling for European sovereign bond yields and CDS spreads
Lange, Rutger-Jan
;
Lucas, André
;
Siegmann, Adriaan Hendrik
-
2016
We compute joint sovereign default probabilities as coincident systemic risk indicators. Instead of commonly used CDS spreads, we use government bond yield data which provide a longer data history. We show that for the more recent sample period 2008--2015, joint default probabilities based on...
Persistent link: https://www.econbiz.de/10011531096
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2
The information in systemic risk rankings
Nucera, Federico
;
Schwaab, Bernd
;
Koopman, Siem Jan
; …
-
2015
We propose to pool alternative systemic risk rankings for financial institutions using the method of principal components. The resulting overall ranking is less affected by estimation uncertainty and model risk. We apply our methodology to disentangle the common signal and the idiosyncratic...
Persistent link: https://www.econbiz.de/10010532581
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3
Network, market, and book-based systemic risk rankings
Leur, Michiel van de
;
Lucas, André
-
2016
We investigate the information content of stock correlation based network measures for systemic risk rankings, such as SIFIRank (based on Google's PageRank). Using European banking data, we first show that SIFIRank is empirically equivalent to a ranking based on average pairwise stock...
Persistent link: https://www.econbiz.de/10011531142
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4
Systemic risk diagnostics : coincident indicators and early warning signals
Schwaab, Bernd
;
Lucas, André
;
Koopman, Siem Jan
-
2010
Persistent link: https://www.econbiz.de/10008771823
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5
Systemic risk diagnostics
Schwaab, Bernd
;
Lucas, André
;
Koopman, Siem Jan
-
2010
, and the rest of the
world
. Controlling for global,region-specific, and industry effects, we construct coincident measures …
Persistent link: https://www.econbiz.de/10011382067
Saved in:
6
Spillover dynamics for systemic risk measurement using spatial financial time series models
Blasques, Francisco
;
Koopman, Siem Jan
;
Lucas, André
; …
-
2014
We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...
Persistent link: https://www.econbiz.de/10010391531
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