Journal ArticleOpen Access
Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?
Authors
Author Affiliations
East West University, York University
Published InMachine Learning with Applications
Year2022
Citations98
Abstract
Bitcoin has grown in popularity and has now attracted the attention of individual and institutional investors. Accurate Bitcoin price direction forecasts are important for determining the trend in Bitcoin prices and asset allocation. This paper addresses several unanswered questions. How important are business cycle variables like interest rates, inflation, and market volatility for forecasting Bitcoin prices? Does the importance of these variables change across time? Are the most important macroeconomic variables for forecasting Bitcoin prices the same as those for gold prices? To answer these questions, we utilize tree-based machine learning classifiers, along with traditional logit econometric models. The analysis reveals several important findings. First, random forests predict Bitcoin and gold price directions with a higher degree of accuracy than…
View at Publisher
BORR does not host full-text PDFs. The button above takes you to the original publisher.