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Building agent-based market simulation models for price forecasting of real-world stocks and other securities Altreva; Utrecht, Netherlands Proprietary; free evaluation version available for research and experimentation (some limitations but no expiration) No programming skills required.
The loss function used to evaluate the quality of the classification model can be either the accuracy of the prediction (defined as the number of times that the classifier predicted the correct sign divided by the total number of predictions made) [10] or the total return of a trading strategy that bought when the classifier predicted a ...
"A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF). Journal of Industrial Technology. 21 (2). Archived from the original (PDF) on October 25, 2005.
Economic forecasting is the process of making predictions about the economy. Forecasts can be carried out at a high level of aggregation—for example for GDP, inflation, unemployment or the fiscal deficit—or at a more disaggregated level, for specific sectors of the economy or even specific firms.
It is a measure used to evaluate the performance of regression or forecasting models. It is a variant of MAPE in which the mean absolute percent errors is treated as a weighted arithmetic mean. Most commonly the absolute percent errors are weighted by the actuals (e.g. in case of sales forecasting, errors are weighted by sales volume). [3]
Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has experts saying your forecast could soon get more accurate, and further ...
Although they treat stock and flow variables consistently, they usually model only individual stock variables such as physical capital, while monetary variables such as credit relations and debt are neglected. [23] [27] Therefore, attempts are made to analyse financial crises using stock-flow consistent models based on the accounting approach.
More than two years after the model’s development, its creators say they have amassed a wealth of data to show that such a system “can make surprisingly accurate predictions,” study co-lead ...