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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
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
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
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
This paper compares volatility forecasts for the RTS Index (the main index for the Russian stock market) generated by … alternative models, specifically option-implied volatility forecasts based on the Black-Scholes model, ARCH/GARCH-type model … information content). Various forecasting performance tests are carried out which suggest that both implied volatility and …
Persistent link: https://www.econbiz.de/10012871648
the disagreement among the forecasters plus the volatility of the common shock. Using new statistics to test for the …
Persistent link: https://www.econbiz.de/10013251262
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
-August 2020, the other from the ECB reporting average monthly values over the period January 1900-August 2020. The estimation …
Persistent link: https://www.econbiz.de/10013314848
How do short and long term interest rates respond to a jump in financial uncertainty? We address this question by conducting a local projections analysis with US monthly data, period: 1962-2018. The state-of-the-art financial uncertainty measure proposed by Ludvigson, Ma, and Ng (2019) is found...
Persistent link: https://www.econbiz.de/10012867014
direct forecasts when estimation error is a first-order concern, i.e. in small samples and for long forecast horizons …
Persistent link: https://www.econbiz.de/10010276226