Machine Learning Coffee Price Predictions
North Carolina State University
Abstract
Most market players have found great significance in price projections for basic agricultural commodities for a substantial duration. We look at the daily price of coffee that is released in this research in order to tackle the issue. The analytical sample runs from 2 January 2013 to 10 April 2024, a period of more than 12 years. A significant influence on the business sector comes from the price series under investigation. Specifically, in this particular situation, Gaussian process regression models are developed using Bayesian optimization techniques and cross-validation processes. Thus, this circumstance prompts the development of price forecasting methodologies. Using our empirical forecasting technique,…
Citation impact
- FWCI
- 87.73
- Percentile
- 100%
- References
- 109
Authors
2- BJBingzi JinCorresponding
- XXXiaojie Xu
North Carolina State University
Topics & keywords
- Economics
- Computer science
- Artificial intelligence