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Large vector autoregressions with asymmetric priors
Carriero, Andrea; Clark, Todd E.; Marcellino, Massimiliano - 2015 - This draft: November 2015
We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors and time varying volatilities, even when the cross sectional dimension of the system N is particularly large. The algorithm is based on a simple triangularisation which allows to...
Persistent link: https://www.econbiz.de/10011389735
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Large Vector Autoregressions with Stochastic Volatility and Flexible Priors
Carriero, Andrea - 2016
Recent research has shown that a reliable vector autoregressive model (VAR) for forecasting and structural analysis of macroeconomic data requires a large set of variables and modeling time variation in their volatilities. Yet, there are no papers jointly allowing for stochastic volatilities and...
Persistent link: https://www.econbiz.de/10012983057
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Common Drifting Volatility in Large Bayesian VARs
Carriero, Andrea - 2014
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 unobserved factor. This is justified by the observation that the pattern of...
Persistent link: https://www.econbiz.de/10013066409
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Evaluating factor pricing models using high-frequency panels
Chang, Yoosoon; Choi, Yongok; Kim, Hwagyun; Park, Joon Y. - In: Quantitative economics : QE ; journal of the … 7 (2016) 3, pp. 889-933
This paper develops a new framework and statistical tools to analyze stock returns using high-frequency data. We consider a continuous-time multifactor model via a continuous-time multivariate regression model incorporating realistic empirical features, such as persistent stochastic volatilities...
Persistent link: https://www.econbiz.de/10011800879
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Factor Analysis with Large Panels of Volatility Proxies
Ghysels, Eric - 2014
the idiosyncratic errors of the panel. A remarkable result emerges. Under suitable regularity conditions the traditional …-sectional driven criteria suffice for consistent estimation of the number of factors, which is different from the traditional panel … data results. Finally, we also show that the panel data estimates improve upon the individual volatility estimates …
Persistent link: https://www.econbiz.de/10013056633
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Bayesian Inference in Spatial Stochastic Volatility Models : An Application to House Price Returns in Chicago
Taspinar, Suleyman - 2019
In this study, we propose a spatial stochastic volatility model in which the latent log-volatility terms follow a spatial autoregressive process. Though there is no spatial correlation in the outcome equation (the mean equation), the spatial autoregressive process defined for the log-volatility...
Persistent link: https://www.econbiz.de/10012900218
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Estimation of dynamic panel data models with stochastic volatility using particle filters
Xu, Wen - In: Econometrics : open access journal 4 (2016) 4, pp. 1-13
work. Dynamic panel data models have become increasingly popular in macroeconomics to study common relationships across … countries or regions. This paper estimates dynamic panel data models with stochastic volatility by maximizing an approximate …
Persistent link: https://www.econbiz.de/10011650493
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Comovements and structural factors of macroeconomic volatility in developing and transition economies : a dynamic panel data approach
Ouechtati, Ichraf; Zaouali, Amira - 2013
volatility in developing and transition economies, using dynamic panel technique. According to an analysis of variance and …
Persistent link: https://www.econbiz.de/10009788587
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Cross-country evidence on the relation between equity prices and the current account
Berg, Tim Oliver - 2009
the period 1980 - 2007. Based on a panel vector autoregression, I compare the effects of equity price shocks to those … fluctuations, equity prices, panel vector autoregression …
Persistent link: https://www.econbiz.de/10010384487
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The volatility of capital flows in emerging markets measures and determinants
Pagliari, Maria Sole; Hannan, Swarnali Ahmed - 2017 - This draft: October 2017
instruments. Second, we perform panel regressions to understand the determinants of volatility. The measures show that, after a …
Persistent link: https://www.econbiz.de/10011771576