To be sure, the Value Line numbers haven't been very accurate in forecasting short-term market moves.
But the model has had a poor record over the last 75 years in forecasting long-term returns, according to Clifford S. Asness, managing principal of AQR Capital Management, a quantitative research firm.
The authors concluded that, while these variables may be useful in forecasting long-term returns, "valuation‐based strategies and the much simpler 60‐40 static portfolio have had very similar performance, before transaction and tax costs".
This paper offers a solution for long term probabilistic forecasting in terms of hourly loads, applying the combination of input variable scenario simulation and a probabilistic model to generate forecasts.
In a rolling out-of-sample forecast framework with smooth-changing parameters, Hong, Sun and Wang (2018, Working paper) propose a data-driven method to determine the optimal rolling window that will yield the best out of sample forecasts in terms of the forecast mean squared error criterion.
The average reduction in forecast error (in terms of MSE) turns out to be three times as large as reported in earlier studies on common seasonal patterns.
The philosophical basis views forecasts as information and the combination of forecasts in terms of aggregation of information.
Our test compares forecasts in terms of LL: the larger the LL value, the better the agreement between forecast and observation.
The applicability of density-based approach in dual-porosity gas systems is investigated, and the approach reveals that gas production can be forecast in terms of a rescaled liquid solution that uses depletion-driven parameters, λ and β.
There are large differences between UPE and UN forecasts in terms of assumed life expectancy for a number of countries, including France, Italy and Germany.
This paper aims to analyze and compare various methods of solar photovoltaic power forecasting in terms of characteristics and performance.
