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Uncertainty and Monetary Policy in Good and Bad Times : A Replication of the VAR Investigation by Bloom (2009)
Caggiano, Giovanni - 2020
This paper revisits the well-known VAR evidence on the real effects of uncertainty shocks by Bloom (Econometrica 2009(3): 623-685. doi: 10.3982/ECTA6248). We replicate the results in a narrow sense using Eviews. In a wide sense, we extend his study by working with a smooth transition-VAR...
Persistent link: https://www.econbiz.de/10012824829
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Real-Time Forecasting Using Mixed-Frequency Vars with Time-Varying Parameters
Heinrich, Markus - 2020
by evaluating a mixed-frequency time-varying parameter VAR with stochastic volatility (MF-TVP-SV-VAR). Overall, the MF …
Persistent link: https://www.econbiz.de/10012842676
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Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression
Polito, Vito; Zhang, Yunyi - 2021
We develop a regime switching vector autoregression where artificial neural networks drive time variation in the coefficients of the conditional mean of the endogenous variables and the variance covariance matrix of the disturbances. The model is equipped with a stability constraint to ensure...
Persistent link: https://www.econbiz.de/10013314694
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Measuring Monetary Policy with Residual Sign Restrictions at Known Shock Dates
Badinger, Harald - 2020
We propose a novel identification strategy to measure monetary policy in a structural VAR. It is based exclusively on known past policy shocks, which are uncovered from high-frequency data, and does not rely on any theoretical a-priori restrictions. Our empirical analysis for the euro area...
Persistent link: https://www.econbiz.de/10012822501
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Imputing Monthly Values for Quarterly Time Series. An Application Performed with Swiss Business Cycle Data
Abberger, Klaus; Graff, Michael; Müller, Oliver; … - 2023
This paper documents a comparative application of algorithms to deal with the problem of missing values in higher frequency data sets. We refer to Swiss business tendency survey (BTS) data which are conducted in both monthly and quarterly frequency, where an information sub-set is collected at...
Persistent link: https://www.econbiz.de/10014262560
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Non-Linearities and Persistence in US Long-Run Interest Rates
Caporale, Guglielmo Maria; Gil-Alana, Luis A.; … - 2021
fractional integration model suitable to capture both persistence and non-linearities, these being two important properties of …-August 2020, the other from the ECB reporting average monthly values over the period January 1900-August 2020. The estimation … results indicate that both are highly persistent and exhibit non-linearities, the latter being more pronounced in the case of …
Persistent link: https://www.econbiz.de/10013314848
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Predictability of Bull and Bear Markets : A New Look at Forecasting Stock Market Regimes (and Returns) in the Us
Haase, Felix; Neuenkirch, Matthias - 2021
The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...
Persistent link: https://www.econbiz.de/10013250734
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Time-Varying Dynamics of the German Business Cycle : A Comprehensive Investigation
Reif, Magnus - 2021
do so, I employ an open-economy time-varying parameter VAR with stochastic volatility, which I estimate by quasi … over time. German trend inflation has strongly decreased and settled at a historically low level. GDP growth volatility …
Persistent link: https://www.econbiz.de/10013214330
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Forecasting with Panel Data : Estimation Uncertainty Versus Parameter Heterogeneity
Pesaran, M. Hashem; Pick, Andreas; Timmermann, Allan - 2022
We develop novel forecasting methods for panel data with heterogeneous parameters and examine them together with existing approaches. We conduct a systematic comparison of their predictive accuracy in settings with different cross-sectional (N) and time (T) dimensions and varying degrees of...
Persistent link: https://www.econbiz.de/10013292495
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Persistence in High Frequency Financial Data
Caporale, Guglielmo Maria; Plastun, Alex - 2022
This paper investigates persistence in high-frequency, intraday data (and also daily and monthly ones) in the case of the EuroStoxx 50 futures over the period from 2002 to 2018 (720 million trade records) using R/S analysis and the Hurst exponent as a measure of persistence. The results indicate...
Persistent link: https://www.econbiz.de/10014242794