The trinity of errors in financial models: An introductory analysis using TensorFlow Probability
O'Reilly on Data
JANUARY 22, 2019
Errors in analysis and forecasting may arise from any of the following modeling issues: using an inappropriate functional form, inputting inaccurate parameters, or failing to adapt to structural changes in the market. For such distributions, parameter values based on historical data are bound to introduce errors into forecasts.
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