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~isPartOf:"Discussion paper / Tinbergen Institute"
~isPartOf:"Discussion paper series / LSE Financial Markets Group"
~language:"eng"
~person:"Gautier, Pieter"
~person:"Gil-Alaña, Luis A."
~person:"Heckman, James J."
~person:"Hoogerheide, Lennart"
~person:"Klaassen, Franc"
~person:"Koopman, Siem Jan"
~subject:"EU-Staaten"
~subject:"Kreditrisiko"
~subject:"Maximum-Likelihood-Schätzung"
~subject:"Schätzung"
~subject:"Simulation"
~subject:"Statistische Verteilung"
~subject:"USA"
~subject:"United States"
~subject:"Zustandsraummodell"
~type:"book"
~type_genre:"Collection of articles written by one author"
~type_genre:"Handbuch"
~type_genre:"Non-commercial literature"
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Gautier, Pieter
Gil-Alaña, Luis A.
Heckman, James J.
Hoogerheide, Lennart
Klaassen, Franc
Koopman, Siem Jan
Lucas, André
41
Dijk, Herman K. van
32
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41
Modeling trigonometric seasonal components for monthly economic time series
Hindrayanto, Irma
;
Aston, John A.D.
;
Koopman, Siem Jan
; …
-
2010
The basic structural time series model has been designed for the modelling and forecasting of seasonal economic time series. In this paper we explore a generalisation of the basic structural time series model in which the time-varying trigonometric terms associated with different seasonal...
Persistent link: https://www.econbiz.de/10011379642
Saved in:
42
A dynamic multivariate heavy-tailed model for time-varying volatilities and correlations
Creal, Drew
;
Koopman, Siem Jan
;
Lucas, André
-
2010
We propose a new class of observation-driven time-varying parameter models for dynamic volatilities and correlations to handle time series from heavy-tailed distributions. The model adopts generalized autoregressive score dynamics to obtain a time-varying covariance matrix of the multivariate...
Persistent link: https://www.econbiz.de/10011380135
Saved in:
43
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:
44
A class of adaptive EM-based importance sampling algorithms for efficient and robust posterior and predictive simulation
Hoogerheide, Lennart
;
Opschoor, Anne
;
Dijk, Herman K. van
-
2011
A class of adaptive sampling methods is introduced for efficient posterior and predictive simulation. The proposed methods are robust in the sense that they can handle target distributions that exhibit non-elliptical shapes such as multimodality and skewness. The basic method makes use of...
Persistent link: https://www.econbiz.de/10011382695
Saved in:
45
Identifying the weights in exchange market pressure
Klaassen, Franc
-
2011
Exchange market pressure (EMP) measures the pressure on a currencyto depreciate. It adds to the actual depreciation a weightedcombination of policy instruments used to ward off depreciation,such as interest rates and foreign exchange interventions, where theweights are their effectiveness. The...
Persistent link: https://www.econbiz.de/10011383023
Saved in:
46
Identifying the weights in exchange market pressure
Klaassen, Franc
-
2011
Exchange market pressure (EMP) measures the pressure on a currency to depreciate. It adds to the actual depreciation a weighted combination of policy instruments used to ward off depreciation, such as interest rates and foreign exchange interventions, where the weights are their effectiveness....
Persistent link: https://www.econbiz.de/10011383120
Saved in:
47
Observation driven mixed-measurement dynamic factor models with an application to credit risk
Creal, Drew
;
Schwaab, Bernd
;
Koopman, Siem Jan
;
Lucas, …
-
2011
This paper has been accepted for publication in the 'Review of Economics and Statistics'.We propose a dynamic factor model for mixed-measurement and mixed-frequency panel data. In this framework time series observations may come from a range of families of parametric distributions, may be...
Persistent link: https://www.econbiz.de/10011383248
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48
Numerically accelerated importance sampling for nonlinear non-Gaussian state space models
Koopman, Siem Jan
;
Lucas, André
;
Scharth, Marcel
-
2012
We introduce a new efficient importance sampler for nonlinear non-Gaussian state space models. We propose a general and efficient likelihood evaluation method for this class of models via the combination of numerical and Monte Carlo integration methods. Our methodology explores the idea that...
Persistent link: https://www.econbiz.de/10011386179
Saved in:
49
Modeling dynamic volatilities and correlations under skewness and fat tails
Zhang, Xin
;
Creal, Drew
;
Koopman, Siem Jan
;
Lucas, André
-
2011
We propose a new model for dynamic volatilities and correlations of skewed and heavy-tailed data. Our model endows the Generalized Hyperbolic distribution with time-varying parameters driven by the score of the observation density function. The key novelty in our approach is the fact that the...
Persistent link: https://www.econbiz.de/10011386468
Saved in:
50
Time series models with a common stochastic variance for analysing economic time series
Koopman, Siem Jan
;
Bos, Charles S.
-
2002
Persistent link: https://www.econbiz.de/10001718624
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