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Browsing Working Papers by Subject "C13"
Now showing items 1-6 of 6
Title:Common Drifting Volatility in Large Bayesian VARs
Author(s):CARRIERO, Andrea; CLARK, Todd E.; MARCELLINO, MassimilianoDate:2012Type of Publication:Working PaperSeries/Report no.:EUI ECOAbstract:The estimation of large Vector Autoregressions with stochastic volatility using standard methods is computationally very demanding. In this paper we propose to model conditional volatilities as driven by a single common ...
Title:Common Factors in Nonstationary Panel Data with a Deterministic Trend – Estimation and Distribution Theory
Author(s):MACIEJOWSKA, KatarzynaDate:2010Type of Publication:Working PaperSeries/Report no.:EUI ECOAbstract:The paper studies large-dimension factor models with nonstationary factors and allows for deterministic trends and factors integrated of order higher then one. We follow the model specification of Bai (2004) and derive the ...
Title:Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models
Author(s):CARRIERO, Andrea; KAPETANIOS, George; MARCELLINO, MassimilianoDate:2009Type of Publication:Working PaperSeries/Report no.:EUI ECOAbstract:The paper addresses the issue of forecasting a large set of variables using multivariate models. In particular, we propose three alternative reduced rank forecasting models and compare their predictive performance for US ...
Title:Parameter Estimation in Nonlinear AR-GARCH Models
Author(s):MEITZ, Mika; SAIKKONEN, PenttiDate:2008Type of Publication:Working PaperSeries/Report no.:EUI ECOAbstract:This paper develops an asymptotic estimation theory for nonlinear autoregressive models
with conditionally heteroskedastic errors. We consider a functional coe cient autoregression
of order p (AR(p)) with the conditional ...
Title:Indirect Estimation of Elliptical Stable Distributions
Author(s):LOMBARDI, Marco J.; VEREDAS, DavidDate:2008Type of Publication:Working PaperSeries/Report no.:EUI MWPAbstract:We present an indirect estimation approach for elliptical stable distributions which
relies on the use of a multivariate Student-t distribution as auxiliary model. This
distribution is also elliptical and we show that ...
Title:How to Attain Minimax Risk with Applications to Distribution-Free Nonparametric Estimation and Testing
Author(s):SCHLAG, Karl H.Date:2007Type of Publication:Working PaperSeries/Report no.:EUI ECOAbstract:We show how to a derive exact distribution-free nonparametric results for minimax risk when underlying random variables have known finite bounds and means are the only parameters of interest. Transform the data with a ...