scholarly journals Multipoint contact without forbearance? How coverage synergies shape equity analysts' forecasting performance

2020 ◽  
Vol 41 (10) ◽  
pp. 1901-1932
Author(s):  
Jose N. Uribe
Keyword(s):  
Equity Analysts ◽  
Forecasting Performance

The Value Added by Equity Analysts

2000 ◽  
Vol 2000 (3) ◽  
pp. 46-54 ◽  
Author(s):  
Kent L. Womack
Keyword(s):  
Value Added ◽  
Equity Analysts

The Riksbank's Forecasting Performance

2007 ◽  
Author(s):  
Michael Andersson ◽  
Gustav Karlsson ◽  
Josef Svensson
Keyword(s):  
Forecasting Performance

scholarly journals An Improved Forecasting Method and Application of China’s Energy Consumption under the Carbon Peak Target

2021 ◽  
Vol 13 (15) ◽  
pp. 8670
Author(s):  
Xiwen Cui ◽  
Shaojun E ◽  
Dongxiao Niu ◽  
Dongyu Wang ◽  
Mingyu Li
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Optimization Methods ◽  
Support Vector ◽  
The Sustainable Development ◽  
Consumption Data ◽  
Forecasting Method ◽  
Forecasting Performance ◽  
Carbon Peak

In the process of economic development, the consumption of energy leads to environmental pollution. Environmental pollution affects the sustainable development of the world, and therefore energy consumption needs to be controlled. To help China formulate sustainable development policies, this paper proposes an energy consumption forecasting model based on an improved whale algorithm optimizing a linear support vector regression machine. The model combines multiple optimization methods to overcome the shortcomings of traditional models. This effectively improves the forecasting performance. The results of the projection of China’s future energy consumption data show that current policies are unable to achieve the carbon peak target. This result requires China to develop relevant policies, especially measures related to energy consumption factors, as soon as possible to ensure that China can achieve its peak carbon targets.

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