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variancefunctions. In a genuine out-of-sample forecasting experiment theperformance of the best fitted asMA-asQGARCH model is compared … topure asMA and no-change forecasts. This is done both in terms ofconditional mean forecasting as well as in terms of risk … forecasting. …
Persistent link: https://www.econbiz.de/10011303289
To simultaneously consider mixed-frequency time series, their joint dynamics, and possible structural changes, we introduce a time-varying parameter mixed-frequency VAR. To keep our approach from becoming too complex, we implement time variation parsimoniously: only the intercepts and a common...
Persistent link: https://www.econbiz.de/10011903709
COVID-19 observations and discusses their impact on prior calibration for inference and forecasting purposes. It shows that … volatility. For forecasting, the choice among outlier-robust error structures is less important, however, when a large cross …
Persistent link: https://www.econbiz.de/10013472790
The present paper presents a theoretical extension of our earlier work entitled“A comparative study of two models SV with MCMC algorithm” cited, Rev Quant Finan Acc (2012) 38:479-493 DOI 10.1007/s11156-011-0236-1 where we propose initially a mixture stochastic volatility model providing a...
Persistent link: https://www.econbiz.de/10009755511
This paper will provide information on what happened in the financial crisis of 2008 and how to graph volatility outside of the option market. We will investigate the causes of the financial crisis, as well as some of the social inequalities that still exist today. We will explore household...
Persistent link: https://www.econbiz.de/10012993297
negative impact on the economic variables for the euro area. We also perform a forecasting analysis, where we assess the merits … of uncertainty indicators for forecasting industrial production, employment and the stock market, using different … models including the original financial uncertainty index in terms of forecasting. …
Persistent link: https://www.econbiz.de/10012792745
Persistent link: https://www.econbiz.de/10010412035
Persistent link: https://www.econbiz.de/10011847185
In assessing drivers of commodity prices and volatility at this stage of the current super-cycle in commodities (year 12 of a projected 25), it is vital to understand that production cost is a fundamental. Moreover, marginal production costs are among the most powerful drivers of commodity...
Persistent link: https://www.econbiz.de/10013120803
We estimate the monthly volatility of the US economy from 1959 to 2008 by extending the factor model of Stock and Watson (1991). The volatility of the factor, which we call VOLINX, has three applications.First, it measures the changes in uncertainty in the economy. VOLINX captures the decrease...
Persistent link: https://www.econbiz.de/10012720729