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Low frequency and weighted likelihood solutions for mixed frequency dynamic factor models

Blasques, Francisco; Koopman, Siem Jan; Mallee, Max I. P. - 2014

The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...

Persistent link: https://www.econbiz.de/10010391543

Nowcasting and forecasting economic growth in the Euro area using principal components

Hindrayanto, Irma; Koopman, Siem Jan; Winter, Jasper de - 2014

short-term forecasting models. These empirical findings have been established for different macroeconomic data sets and … specification is most effective in its forecasting performance. Furthermore, the forecast performances of the different … extended empirical out-of-sample forecasting competition for quarterly growth of gross domestic product in the euro area and …

Persistent link: https://www.econbiz.de/10010395082

Bayesian forecasting of US growth using basic time varying parameter models and expectations data

Basturk, Nalan; Ceyhan, Pinar; Dijk, Herman K. van - 2014

forecasting performance of the various model specifications. The extension of a basic growth model with a constant mean to models … expectations is important for forecasting growth in specific periods, such as the the recession periods around 2000s and around …

Persistent link: https://www.econbiz.de/10010399680

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

Testing for a common volatility process and information spillovers in bivariate financial time series models

Chen, Jinghui; Kobayashi, Masahito; McAleer, Michael - 2016 - Revised: February 2016

The paper considers the problem as to whether financial returns have a common volatility process in the framework of stochastic volatility models that were suggested by Harvey et al. (1994). We propose a stochastic volatility version of the ARCH test proposed by Engle and Susmel (1993), who...

Persistent link: https://www.econbiz.de/10011441709

Measuring financial cycles in a model-based analysis : empirical evidence for the United States and the euro area

Galati, Gabriele; Hindrayanto, Irma; Koopman, Siem Jan; … - 2016

We adopt an unobserved components time series model to extract financial cycles for the United States and the five largest euro area countries over the period 1970 to 2014. We find that credit, the credit-to-GDP ratio and house prices have medium-term cycles which share a few common statistical...

Persistent link: https://www.econbiz.de/10011456728

Schüler, Yves Stephan - 2018

I show that the detrending of financial variables with the Hodrick and Prescott (1981, 1997) (HP) and band-pass filters leads to spurious cycles. I find that distortions become especially severe when considering medium-term cycles, i.e., cycles that exceed the duration of regular business...

Persistent link: https://www.econbiz.de/10012923312

Moments, shocks and spillovers in Markov switching VAR models

Dijk, Dick van; Kole, Erik - 2021

To investigate how economies, financial markets or institutions can deal with stress, we nowadays often analyze the effects of shocks conditional on a recession or a bear market. MSVAR models are ideally suited for such analyses because they combine gradual movement with sudden switches. In this...

Persistent link: https://www.econbiz.de/10012621564

Likelihood-based analysis for dynamic factor models

Jungbacker, Borus; Koopman, Siem Jan - 2008

We present new results for the likelihood-based analysis of the dynamic factor model that possibly includes intercepts and explanatory variables. The latent factors are modelled by stochastic processes. The idiosyncratic disturbances are specified as autoregressive processes with mutually...

Persistent link: https://www.econbiz.de/10011373811

Asymmetries in conditional mean and variance : modelling stock returns by asMA-asQGARCH

Brännäs, Kurt; Gooijer, Jan G. de - 2000

variancefunctions. In a genuine out-of-sample forecasting experiment theperformance of the best fitted asMA-asQGARCH model is compared … topure asMA and no-change forecasts. This is done both in terms ofconditional mean forecasting as well as in terms of risk … forecasting. …

Persistent link: https://www.econbiz.de/10011303289