Researcher ORCID Identifier
0009-0001-7937-2186
Graduation Year
2025
Date of Submission
4-2025
Document Type
Open Access Senior Thesis
Degree Name
Bachelor of Arts
Department
Economics
Reader 1
Ben Gillen
Terms of Use & License Information
Rights Information
2025 Kirby S Baynes
Abstract
This thesis examines whether Bitcoin is a beneficial asset in a diversified, mean-variance optimized portfolio and whether its portfolio weights can be reliably predicted using macroeconomic variables. Using data from December 2013 to February 2025, the analysis applies rolling-window portfolio optimization and OLS regressions with Newey-West standard errors to test the relationship between Bitcoin allocations and a set of macroeconomic indicators. Results show that Bitcoin receives non-zero weights across portfolios and that its optimal allocation is sensitive to variables such as changes in the Credit Spread and Yield Curve. These variables were statistically significant in several models and produced meaningful changes in Bitcoin weights when applied to real-world portfolio scenarios. While short-term models produced weaker signals, medium-term windows revealed stronger and more stable relationships. The findings suggest that macroeconomic conditions play a role in Bitcoin’s portfolio value and that forward-looking allocation strategies can benefit by being guided by economic signals.
Recommended Citation
Baynes, Kirby, "Optimizing Bitcoin Allocation: Predictability of Bitcoin Portfolio Weights Through Macroeconomic Variables" (2025). CMC Senior Theses. 3968.
https://scholarship.claremont.edu/cmc_theses/3968
Included in
Corporate Finance Commons, Finance Commons, Finance and Financial Management Commons, Portfolio and Security Analysis Commons