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In this article, we propose a cointegration-based Permanent-Transitory decomposition for nonstationary Dynamic Factor … Models. Our methodology exploits the cointegration relations among the observable variables and assumes they are driven by a …-term stationary one. A Monte Carlo experiment shows that taking into account the cointegration structure in the DFM leads to a much …
Persistent link: https://www.econbiz.de/10012596987
Persistent link: https://www.econbiz.de/10013253846
equally in terms of parameter estimation. Based on this feature we show how to extract common trends and cycles from the data …
Persistent link: https://www.econbiz.de/10012137316
-augmented regression models are used to forecast. We provide conditions under which the estimation of the factors does not affect the … factor estimation and apply the tests to the case of forecasting excess returns to the S&P 500 Composite Index …
Persistent link: https://www.econbiz.de/10012903921
Most macroeconomic indicators failed to capture the sharp economic fluctuations during the Corona crisis in a timely manner. Instead, alternative high-frequency data have been used, aiming to monitor the economic situation. However, these data are often only loosely related to the business cycle...
Persistent link: https://www.econbiz.de/10012395297
High dimensional composite index makes experts' preferences in setting weights a hard task. In the literature, one of the approaches to derive weights from a data set is Principal Component or Factor Analysis that, although conceptually different, they are similar in results when FA is based on...
Persistent link: https://www.econbiz.de/10011999119
We propose a factor state-space approach with stochastic volatility to model and forecast the term structure of future contracts on commodities. Our approach builds upon the dynamic 3-factor Nelson-Siegel model and its 4-factor Svensson extension and assumes for the latent level, slope and...
Persistent link: https://www.econbiz.de/10012864217
This paper considers a non-stationary dynamic factor model for large datasets to disentangle long-run from short-run co-movements. We first propose a new Quasi Maximum Likelihood estimator of the model based on the Kalman Smoother and the Expectation Maximisation algorithm. The asymptotic...
Persistent link: https://www.econbiz.de/10011803273
In this article, we propose a cointegration-based Permanent-Transitory decomposition for non-stationary Dynamic Factor … Models. Our methodology exploits the cointegration relations among the observable variables and assumes they are driven by a …-term stationary one. A Monte Carlo experiment shows that taking into account the cointegration structure in the DFM leads to a much …
Persistent link: https://www.econbiz.de/10012605977
Uncertainty about the future course of the economy is a possible driver of aggregate fluctuations. To identify the different dimensions of uncertainty in the macroeconomy we construct a large dataset covering all types of economic uncertainty. We then identify two fundamental factors which...
Persistent link: https://www.econbiz.de/10013045927