Sentence examples for forecast properties from inspiring English sources

We investigate whether and how the complexity of derivatives influences analysts׳ earnings forecast properties.

There are two lessons learned so far: First, the more customer characteristics are included in (v_{ij}) in an appropriate way, the better are the forecast properties of MNL, (x_{ij}), respectively.

In more detail, we expand the former of these studies by exploring the one-step ahead forecasting properties of its methods, when applied to geophysical time series.

Pointing out that Capco itself forecasts property values in the area will continuing to increase in the coming years, it remarks: "Standing back from this we find it hard to comprehend why indeed the applicant or any other developer would sell the land short if they believe that residential values will grow".

Over the years researchers have identified a number of indicators that forecast nonlinear properties of these functions.

Conclusions from this work can be used to forecast the properties of three commonly used polymer binders and provide a theoretical basis for the choice of binders in the production of 3DP-fabricated bone scaffolds.

In our assimilation system MoSST −DAS, the error covariance P f is calculated via three different approaches: an ensemble-based covariance analysis (Sun et al. 2007; Sun and Kuang 2015), an empirical covariance based on forecast solution properties (Tangborn and Kuang 2015), and an optimal interpolation (OI) scheme with a predefined time-invariant covariance (Kuang et al. 2009).

They concluded that CASC forecast adequate properties for psychometric testing and suggested confirmation by repeating these analyses in cross-cultural setting [ 2].

JP Morgan, the US investment bank, recently forecast that property prices would continue to fall until they bottomed out at 80% below 2008 levels.

Analysts covering the major banks and brokers had issued muted earnings forecasts on properties like Goldman Sachs, JPMorgan and Citigroup.

In this article, methods of forecasting wind properties are reviewed, a methodology is developed that incorporates the general principles of ANN-RBF, ANFIS and ANN-PSO models, and the methodology is applied to a case study using wind speed data as an input, and the results obtained with the models and their error analyses are discussed.