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~isPartOf:"BIS working papers"
~isPartOf:"Discussion paper / Tinbergen Institute"
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~isPartOf:"Research memorandum / METEOR"
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~isPartOf:"Working papers / Federal Reserve Bank of Boston"
~isPartOf:"Working papers"
~language:"eng"
~person:"Borio, Claudio E. V."
~person:"Florax, Raymond J. G. M."
~person:"Gil-Alaña, Luis A."
~person:"Heckman, James J."
~person:"Hommes, Cars H."
~person:"Koopman, Siem Jan"
~person:"Poot, Jacques"
~person:"Pozzi, Lorenzo"
~person:"Ravazzolo, Francesco"
~subject:"Kreditrisiko"
~subject:"Maximum-Likelihood-Schätzung"
~subject:"Meta-Analyse"
~subject:"Prognoseverfahren"
~subject:"Schätzung"
~subject:"Simulation"
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~subject:"United States"
~subject:"Volatilität"
~subject:"Wirtschaftswachstum"
~subject:"World"
~type_genre:"Handbuch"
~type_genre:"Non-commercial literature"
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Borio, Claudio E. V.
Florax, Raymond J. G. M.
Gil-Alaña, Luis A.
Heckman, James J.
Hommes, Cars H.
Koopman, Siem Jan
Poot, Jacques
Pozzi, Lorenzo
Ravazzolo, Francesco
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61
Long memory modelling of inflation with stochastic variance and structural breaks
Bos, Charles S.
;
Koopman, Siem Jan
;
Ooms, Marius
-
2007
We investigate changes in the time series characteristics of postwar U.S. inflation. In a model-based analysis the conditional mean of inflation is specified by a long memory autoregressive fractionally integrated moving average process and the conditional variance is modelled by a stochastic...
Persistent link: https://www.econbiz.de/10011373822
Saved in:
62
The effect of the great moderation on the US business cycle in a time-varying multivariate trend-cycle model
Creal, Drew
;
Koopman, Siem Jan
;
Zivot, Eric
-
2008
In this paper we investigate whether the dynamic properties of the U.S. business cycle have changed in the last fifty years. For this purpose we develop a flexible business cycle indicator that is constructed from a moderate set of macroeconomic time series. The coincident economic indicator is...
Persistent link: https://www.econbiz.de/10011376640
Saved in:
63
Dynamic factor analysis in the presence of missing data
Jungbacker, Borus
;
Koopman, Siem Jan
;
Wel, Michel van der
-
2011
This paper concerns estimating parameters in a high-dimensional dynamic factormodel by the method of maximum likelihood. To accommodate missing data in theanalysis, we propose a new model representation for the dynamic factor model. Itallows the Kalman filter and related smoothing methods to...
Persistent link: https://www.econbiz.de/10011377572
Saved in:
64
Macro, industry and frailty effects in defaults : the 2008 credit crisis in perspective
Koopman, Siem Jan
;
Lucas, André
;
Schwaab, Bernd
-
2010
We determine the magnitude and nature of systematic default risk using 1971{2009) default data from Moody's. We disentangle systematic risk factors due to business cycle effects, common default dynamics (frailty), and industry-specific dynamics (including contagion). To quantify the contribution...
Persistent link: https://www.econbiz.de/10011379607
Saved in:
65
World
equity premium based risk aversion estimates
Pozzi, Lorenzo
;
Vries, Casper G. de
;
Zenhorst, J.
-
2010
confidence band for the
world
risk aversion estimate from the pooled country data is much tighter and the pooled point estimate …
Persistent link: https://www.econbiz.de/10011379612
Saved in:
66
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:
67
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:
68
The stochastic volatility in mean model
Koopman, Siem Jan
;
Hol Uspensky, Eugenie
-
2000
In this paper we present an exact maximum likelihood treatment forthe estimation of a Stochastic Volatility in Mean(SVM) model based on Monte Carlo simulation methods. The SVM modelincorporates the unobserved volatility as anexplanatory variable in the mean equation. The same extension...
Persistent link: https://www.econbiz.de/10011303314
Saved in:
69
Forecasting the variability of stock index returns with stochastic volatility models and implied volatility
Hol Uspensky, Eugenie
;
Koopman, Siem Jan
-
2000
In this paper we compare the predictive abilility of Stochastic Volatility (SV)models to that of volatility forecasts implied by option prices. We develop anSV model with implied volatility as an exogeneous var able in the varianceequation which facilitates the use of statistical tests for...
Persistent link: https://www.econbiz.de/10011304384
Saved in:
70
The value of statistical life in road safety : a meta-analysis
Blaeij, Adriana Tanneke de
;
Florax, Raymond J. G. M.
; …
-
2000
Accident costs are an important component of the external costs of traffic, a substantial part of whichis related to fatal accidents. The evaluation of fatal accident costs crucially depends on theavailability of an estimate for the economic value of a statistical life. The aim of the...
Persistent link: https://www.econbiz.de/10011304399
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