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Analyzing the term structure of interest rates using the dynamic Nelson-Siegel model with time-varying parameters

Koopman, Siem Jan; Mallee, Max I. P.; Wel, Michel van der - 2007

In this discussion paper we introduce time-varying parameters in the dynamic Nelson–Siegel yield curve model for the simultaneous analysis and forecasting of interest rates of different maturities. The Nelson–Siegel model has been recently reformulated as a dynamic factor model with vector...

Persistent link: https://www.econbiz.de/10011373825

Unobserved components with stochastic volatility in U.S. inflation : estimation and signal extraction

Li, Mengheng; Koopman, Siem Jan - 2018

the observed time series. We develop a simulated maximum likelihood estimation method based on importance sampling and …

Persistent link: https://www.econbiz.de/10011809984

A Bayesian analysis of unobserved component models using Ox

Bos, Charles S. - 2011

Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation.In order to simplify the … comprehension of these estimation methods, the main methods for estimating stochastic volatility are discussed, with focus on their …

Persistent link: https://www.econbiz.de/10011386121

Idiosyncratic labour income risk and aggregate consumption : an unobserved component approach

Pozzi, Lorenzo - 2007

We investigate the importance of aggregate and consumer-specific or idiosyncratic labour income risk for aggregate consumption changes in the US over the period 1952-2001. Theoretically, the effect of labour income risk on consumption changes is decomposed into an aggregate and into an...

Persistent link: https://www.econbiz.de/10011372981

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

Tracking growth and the business cycle : a stochastic common cycle model for the Euro area

Azevedo, João Valle e; Koopman, Siem Jan; Rua, António - 2003

This paper proposes a new model-based method to obtain a coincident indicator for the business cycle. A dynamic factor model with trend components and a common cycle component is considered which can be estimated using standard maximum likelihood methods. The multivariate unobserved components...

Persistent link: https://www.econbiz.de/10011334364

Inference for adaptive time series models : stochastic volatility and conditionally Gaussian state space form

Bos, Charles S.; Shephard, Neil G. - 2004

In this paper we replace the Gaussian errors in the standard Gaussian, linear state space model with stochastic volatility processes. This is called a GSSF-SV model. We show that conventional MCMC algorithms for this type of model are ineffective, but that this problem can be removed by...

Persistent link: https://www.econbiz.de/10011334849

Forecasting daily time series using periodic unobserved components time series models

Koopman, Siem Jan; Ooms, Marius - 2004

We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend and seasonal. Periodic time series models allow dynamic characteristics to depend on the period of the year, month, week or day. In the...

Persistent link: https://www.econbiz.de/10011342560

Measuring asymmetric stochastic cycle components in US macroeconomic time series

Koopman, Siem Jan; Lee, Kai Ming - 2005

To gain insights in the current status of the economy, macroeconomic time series are often decomposed into trend, cycle and irregular components. This can be done by nonparametric band-pass filtering methods in the frequency domain or by model-based decompositions based on autoregressive moving...

Persistent link: https://www.econbiz.de/10011346480

A Bayesian analysis of the PPP puzzle using an unobserved components model

Kleijn, Richard; Dijk, Herman K. van - 2001

The failure to describe the time series behaviour of most realexchange rates as temporary deviations from fixedlong-term means may be due to time variation of the equilibriathemselves, see Engel (2000). We implement thisidea using an unobserved components model and decompose theobservations on...

Persistent link: https://www.econbiz.de/10011318578

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