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(2014) in order to relax the condition on the data structure required for the SUR estimator to be independent from unknown … quantities. It turns out that the SUR estimator of forecast uncertainty tends to deliver large efficiency gains compared to the … OLS estimator (i.e. the sample mean of the squared forecast errors) in the case of increased forecast horizons. The SUR …
Persistent link: https://www.econbiz.de/10010465566
Multi-step-ahead forecasts of forecast uncertainty in practice are often based on the horizon-specific sample means of recent squared forecast errors, where the number of available past forecast errors decreases one-to-one with the forecast horizon. In this paper, the efficiency gains from the...
Persistent link: https://www.econbiz.de/10008533612
Multi-step-ahead forecasts of forecast uncertainty in practice are often based on the horizon-specific sample means of recent squared forecast errors, where the number of available past forecast errors decreases one-to-one with the forecast horizon. In this paper, the efficiency gains from the...
Persistent link: https://www.econbiz.de/10012991108
(2014) in order to relax the condition on the data structure required for the SUR estimator to be independent from unknown … quantities. It turns out that the SUR estimator of forecast uncertainty tends to deliver large efficiency gains compared to the … OLS estimator (i.e. the sample mean of the squared forecast errors) in the case of increased forecast horizons. The SUR …
Persistent link: https://www.econbiz.de/10010464545
(2014) in order to relax the condition on the data structure required for the SUR estimator to be independent from unknown … quantities. It turns out that the SUR estimator of forecast uncertainty tends to deliver large e¢ ciency gains compared to the … OLS estimator (i.e. the sample mean of the squared forecast errors) in the case of increased forecast horizons. The SUR …
Persistent link: https://www.econbiz.de/10011124452
Recent research has found that macroeconomic survey forecasts of uncertainty exhibit several deficiencies, such as horizon-dependent biases and lower accuracy than simple unconditional uncertainty forecasts. We examine the inflation uncertainty forecasts from the Bank of England, the Banco...
Persistent link: https://www.econbiz.de/10011962843
(2014) in order to relax the condition on the data structure required for the SUR estimator to be independent from unknown … quantities. It turns out that the SUR estimator of forecast uncertainty tends to deliver large e¢ ciency gains compared to the … OLS estimator (i.e. the sample mean of the squared forecast errors) in the case of increased forecast horizons. The SUR …
Persistent link: https://www.econbiz.de/10012988712
Sign-restricted Structural Vector Autoregressions (SVARs) are increasingly common. However, they usually result in a set of structural parameters that have very different implications in terms of impulse responses, elasticities, historical decomposition and forecast error variance decomposition...
Persistent link: https://www.econbiz.de/10012037315
The purpose of this research is to determine whether bankruptcy forecasting models are subject to industry and time specific effects. A sample of 15,848 firms was obtained from the Compustat and CRSP databases, spanning the time period 1950 to 2013, of which 396 were bankrupt. Using five models...
Persistent link: https://www.econbiz.de/10013000033
The use of Markov processes (or Markov chains) has become widespread in dynamic stochastic modeling. For example, its use is ubiquitous in macroeconomics (dynamic stochastic general equilibrium), finance (dynamic asset pricing), and areas of microeconomics (dynamic programming). As we discuss...
Persistent link: https://www.econbiz.de/10013123710