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Evaluation of forecast optimality in economics and finance has almost exclusively been conducted on the assumption of mean squared error loss under which forecasts should be unbiased and forecast errors serially uncorrelated at the single period horizon with increasing variance as the forecast...
Persistent link: https://www.econbiz.de/10012771004
accuracy of the single best model which is a specification that allows for time-varying parameters and stochastic volatility …
Persistent link: https://www.econbiz.de/10013023063
Forecast combinations have frequently been found in empirical studies to produce better forecasts on average than methods based on the ex ante best individual forecasting model. Moreover, simple combinations that ignore correlations between forecast errors often dominate more refined combination...
Persistent link: https://www.econbiz.de/10014023702
This paper conducts a broad-based comparison of iterated and direct multi-period forecasting approaches applied to both univariate and multivariate models in the form of parsimonious factor-augmented vector autoregressions. To account for serial correlation in the residuals of the multi-period...
Persistent link: https://www.econbiz.de/10014042344
This paper conducts a broad-based comparison of iterated and direct multi-period forecasting approaches applied to both univariate and multivariate models in the form of parsimonious factor-augmented vector autoregressions. To account for serial correlation in the residuals of the multi-period...
Persistent link: https://www.econbiz.de/10008494420
moments of the outcome. Specifically, our modeling approach allows for MIDAS stochastic volatility dynamics, generalizing a … strong evidence that the introduction of MIDAS effects in the volatility equation leads to improved in-sample and out …-of-sample density forecasts. Our results also suggest that model combination schemes assign high weight to MIDAS-in-volatility models …
Persistent link: https://www.econbiz.de/10013033107
conditional Sharpe ratio, the latter of which incorporates time-varying volatility in the predictive regression framework …
Persistent link: https://www.econbiz.de/10013064939
Autoregressive models are used routinely in forecasting and often lead to better performance than more complicated models. However, empirical evidence is also suggesting that the autoregressive representations of many macroeconomic and financial time series are likely to be subject to structural...
Persistent link: https://www.econbiz.de/10011508088
In this paper, we explore the potential gains from alternative combinations of the surveyed forecasts in the ECB Survey of Professional Forecasters. Our analysis encompasses a variety of methods including statistical combinations based on principal components analysis and trimmed means,...
Persistent link: https://www.econbiz.de/10008771791
In this paper, we explore the potential gains from alternative combinations of the surveyed forecasts in the ECB Survey of Professional Forecasters. Our analysis encompasses a variety of methods including statistical combinations based on principal components analysis and trimmed means,...
Persistent link: https://www.econbiz.de/10013316124