Showing 1 - 10 of 2,594
We apply the novel approach of Siliverstovs (2015) to modelling data sampled at different frequencies in order to scrutinise the composition of one of the most influential economic indicators in Switzerland. The Purchasing Managers' Index consists of eight sub-indices out of which only five...
Persistent link: https://www.econbiz.de/10010498418
-Sampling approach (U-MIDAS) (see Foroni et al., 2015; Castle et al., 2009; Bec and Mogliani, 2013), and the LASSO-type penalised …
Persistent link: https://www.econbiz.de/10010498420
In order to shed new light on the influence of volume and economic fundamentals on the long-run volatility of the Chinese stock market we follow the methodology introduced by Engle et al. (2009) and Engle and Rangel (2008) to account for the effects of macro fundamentals, and augment it with...
Persistent link: https://www.econbiz.de/10010709340
Financial analysts assume that the reliability of predictions derived from regression analysis improves with sample size. This is generally true because larger samples tend to produce less noisy results than smaller samples. But this is not always the case. Some observations are more relevant...
Persistent link: https://www.econbiz.de/10012225139
A Self-Exciting Threshold AutoRegressive (SETAR) model is applied to the Italian stock market volatility, to obtain volatility forecasts and Value-at-Risk (VaR) estimates. There is almost nothing dealing with Italian markets in the literature of Threshold models, which have never been used for...
Persistent link: https://www.econbiz.de/10008512990
We consider the channel consisting in transferring the credit risk associated with refinancing operations between financial institutions to market participants. In particular, we analyze liquidity and volatility premia on the French government debt securities market, since these assets are used...
Persistent link: https://www.econbiz.de/10010574828
This paper provides empirical evidence that combinations of option implied and time series volatility forecasts that are conditional on current information are statistically superior to individual models, unconditional combinations, and hybrid forecasts. Superior forecasting performance is...
Persistent link: https://www.econbiz.de/10011042107
Building on a mixed data sampling (MIDAS) model we evaluate the predictive power of a variety of monthly macroeconomic …
Persistent link: https://www.econbiz.de/10010376402
This paper presents a MIDAS type mixed frequency VAR forecasting model. First, we propose a general and compact mixed … frequency VAR framework using a stacked vector approach. Second, we integrate the mixed frequency VAR with a MIDAS type Almon … the resulting non-linear MIDAS type mixed frequency VAR into a linear equation system that can be easily estimated. A …
Persistent link: https://www.econbiz.de/10010508351
in the presence of mixed-frequency data, e.g., monthly and quarterly series. MIDAS leads to parsimonious models based on …This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF-VAR) approaches to model specification … curse of dimensionality. But if the restrictions imposed by MIDAS are too stringent, the MF-VAR can perform better. Hence …
Persistent link: https://www.econbiz.de/10008528546