Sentence examples for managerial forecast from inspiring English sources

Baginski, Demers, Kausar, and Yu (2018) demonstrate that small, retail investors often misinterpret the linguistic tone contained in managerial forecast announcements during the 1997-2006 time period.

Typically, the forecasts are produced by integrating managerial judgment with quantitative forecasts within a forecasting support system (FSS).

From a managerial perspective, the clusterwise cash demand forecast helps the bank's top management to design similar cash replenishment plans for all the ATMs in the same cluster.

In this study, the observations were used to develop managerial insights regarding choosing an appropriate forecasting technique after considering certain distinct characteristics of the product.

We also show how the method of odds likelihood ratios can be used to combine the PNN forecasted values with subjective managerial beliefs to improve probability estimates.

The results suggest that neural network modelling can be used to integrate managerial judgments and actual operating data to accurately forecast software project completion times.

We use three large, actual real-life datasets to analyze the relevance of these additional efforts for managerial interpretation and for the out-of-sample forecast accuracy at various frequencies.

We found that it is possible to enhance forecast accuracy and achieve significant risk reduction in managerial decision making by applying intelligent forecasting models based on latest information technologies.

It can be used to forecast the irrigation water required to meet seasonal meteorological, agronomical and managerial scenarios in stone fruit orchards.

Using a field experiment on new product forecasts in the music industry, our analysis reveals that when forecasters are concerned with predictive accuracy and only managerial judgments are employed, providing both types of decision support data is beneficial.

Today many new products exhibit very strong seasonal behaviour, which may deserve specific modelling, both for producing better forecasts in the short term and for better explaining special market dynamics and related managerial decisions.