It takes the average reader and 34 minutes to read An Algorithmic Crystal Ball: Forecasts-based on Machine Learning by Jin-Kyu Jung
Assuming a reading speed of 250 words per minute. Learn more
Forecasting macroeconomic variables is key to developing a view on a country's economic outlook. Most traditional forecasting models rely on fitting data to a pre-specified relationship between input and output variables, thereby assuming a specific functional and stochastic process underlying that process. We pursue a new approach to forecasting by employing a number of machine learning algorithms, a method that is data driven, and imposing limited restrictions on the nature of the true relationship between input and output variables. We apply the Elastic Net, SuperLearner, and Recurring Neural Network algorithms on macro data of seven, broadly representative, advanced and emerging economies and find that these algorithms can outperform traditional statistical models, thereby offering a relevant addition to the field of economic forecasting.
An Algorithmic Crystal Ball: Forecasts-based on Machine Learning by Jin-Kyu Jung is 34 pages long, and a total of 8,636 words.
This makes it 11% the length of the average book. It also has 11% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes and 47 minutes to read An Algorithmic Crystal Ball: Forecasts-based on Machine Learning aloud.
An Algorithmic Crystal Ball: Forecasts-based on Machine Learning is suitable for students ages 8 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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