scholarly journals A comparative analysis of three macro price forecasting models

1994 ◽  
Vol 12 (3) ◽  
pp. 257-270 ◽  
Author(s):  
S. A. Akintoye ◽  
R. M. Skitmore
Keyword(s):  
Comparative Analysis ◽  
Price Forecasting ◽  
Forecasting Models

Building neural network forecasting models from time series ARIMA models: A procedure and a comparative analysis

2002 ◽  
Vol 6 (1) ◽  
pp. 53-65 ◽  
Author(s):  
María-Dolores Cubiles-de-la-Vega ◽  
Rafael Pino-Mejías ◽  
Antonio Pascual-Acosta ◽  
Joaquín Muñoz-García
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Comparative Analysis ◽  
Arima Models ◽  
Forecasting Models

scholarly journals Short-Term Price Forecasting Models Based on Artificial Neural Networks for Intraday Sessions in the Iberian Electricity Market

Energies ◽  
2016 ◽  
Vol 9 (9) ◽  
pp. 721 ◽  
Author(s):  
Claudio Monteiro ◽  
Ignacio Ramirez-Rosado ◽  
L. Fernandez-Jimenez ◽  
Pedro Conde
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Electricity Market ◽  
Price Forecasting ◽  
Short Term ◽  
Forecasting Models ◽  
Artificial Neural

scholarly journals Forecasting Models for Coronavirus (COVID-19): A Survey of the State-of-the-Art

2020 ◽  
Author(s):  
Parikshit Mahalle ◽  
Asmita B. Kalamkar ◽  
Nilanjan Dey ◽  
Jyotismita Chaki ◽  
Aboul ella Hassanien ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
State Of The Art ◽  
The State ◽  
Forecasting Models ◽  
Data Source

When new virus and its respective disease cause more infections, it is very important to decide the strategies to control the spread and determine its impact. Considering the recent example of Coronavirus initially identified in Wuhan China has now targeted Italy badly, It is very important to study different forecasting models to control this pandemic. In the view of this, this study present the comparative analysis of various forecasting models, their classification and the techniques used. The detail analysis of forecasting models with respect to the parameters like data source, techniques, algorithms, mathematical parameters is also presented in this study. In the sequel, this study also presents useful recommendations to help government and healthcare community in designing better strategies and in taking productive decisions to control this outbreak.<div><br></div>

scholarly journals Forecasting Models for Coronavirus (COVID-19): A Survey of the State-of-the-Art

2020 ◽  
Author(s):  
Parikshit Mahalle ◽  
Asmita B. Kalamkar ◽  
Nilanjan Dey ◽  
Jyotismita Chaki ◽  
Aboul ella Hassanien ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
State Of The Art ◽  
The State ◽  
Forecasting Models ◽  
Data Source

When new virus and its respective disease cause more infections, it is very important to decide the strategies to control the spread and determine its impact. Considering the recent example of Coronavirus initially identified in Wuhan China has now targeted Italy badly, It is very important to study different forecasting models to control this pandemic. In the view of this, this study present the comparative analysis of various forecasting models, their classification and the techniques used. The detail analysis of forecasting models with respect to the parameters like data source, techniques, algorithms, mathematical parameters is also presented in this study. In the sequel, this study also presents useful recommendations to help government and healthcare community in designing better strategies and in taking productive decisions to control this outbreak.<div><br></div>

Analysis of the Corporate Financial Soundness of Companies Using the Bankruptcy Forecasting Models

Auditor ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 46-54
Author(s):  
S. Puchkova ◽  
Yu. Sotneva ◽  
M. Semenova
Keyword(s):  
Comparative Analysis ◽  
Forecasting Models ◽  
Financial Soundness

Th is article is devoted to the study of the fi nancial stability of companies based on a number bankruptcy forecasting models. Th e authors analyzed fi nancial statements of 22 Russian and foreign retail companies that fi led for bankruptcy in the last fi ve years using the following bankruptcy models. Th e article provides a comparative analysis of bankruptcy models in order to identify the model that most accurately predicts the onset of bankruptcy.

scholarly journals TRADING BASED ON KNOWING THE WASDE REPORT IN ADVANCE

2017 ◽  
Vol 49 (3) ◽  
pp. 400-415
Author(s):  
TRENT T. MILACEK ◽  
B. WADE BRORSEN
Keyword(s):  
Supply And Demand ◽  
Past Research ◽  
Price Forecasting ◽  
Forecasting Models ◽  
Agricultural Supply

AbstractPast research shows that prices move in response to World Agricultural Supply and Demand Estimates (WASDE) reports immediately prior to and after a report. This research develops trading models based on knowing the next WASDE report in advance. This should help traders evaluate investments to predict information contained within the report and in determining how best to use such forecasts. The price-forecasting models use regressions against the ratios of ending stocks to use. Results show a steady increasing return to trading over the report month. The highest returns are produced by trading during the growing and harvest seasons.

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