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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

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

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

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

Tourism stocks in times of crises : an econometric investigation of non-macro factors

Zopiatis, Anastasios; Savva, Christos S.; Lambertides, … - 2016

Following the recent terrorist attacks in Paris, the European media emphatically pronounced that billions of euros were wiped from tourism related stocks. This comes at a troublesome time for the tourism industry, in the midst of a global financial crisis, and the unpredictable rise of radical...

Persistent link: https://www.econbiz.de/10011566387

Testing for volatility co-movement in bivariate stochastic volatility models

Chen, Jinghui; Kobayashi, Masahito; McAleer, Michael - 2017 - Revised: February 2017

The paper considers the problem of volatility co-movement, namely as to whether two financial returns have perfectly correlated common volatility process, in the framework of multivariate stochastic volatility models and proposes a test which checks the volatility co-movement. The proposed test...

Persistent link: https://www.econbiz.de/10011602570

Tourism stocks in times of crises : an econometric investigation of unexpected non-macroeconomic factors

Zopiatis, Anastasios; Savva, Christos S.; Lambertides, … - 2017 - Revised: June 2017

Following the recent terrorist attacks in Paris, the European media emphatically pronounced that billions of Euros were wiped from tourism related stocks. The theoretical relationship of the industry with such unexpected non-macro incidents received moderate academic coverage. Nevertheless, the...

Persistent link: https://www.econbiz.de/10011658758

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