Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/32658
Title: Can commodity prices predict stock market returns? The case of dry bulk shipping companies
Authors: Melas, Konstantinos D. 
Michail, Nektarios A. 
Major Field of Science: Social Sciences
Field Category: Economics and Business
Keywords: Commodities;Dry bulk market;G11;G12;G13;G20;Principal component analysis;Shipping
Issue Date: 1-Dec-2024
Source: Journal of Shipping and Trade, 2024, vol.9, no. 1
Volume: 9
Issue: 1
Journal: Journal of Shipping and Trade 
Abstract: We explore the relationship between the returns of 45 dry bulk shipping company stock prices and the main 15 commodities that bulk carriers transport. Using a principal component analysis to reduce the dimensionality of the commodities dataset and a panel methodology, we find that a change in the commodity price principal component would result in a 0.6% change in the returns of the shipping stock prices. Minerals appear to have a stronger impact, as a 1% change in the minerals principal component results in a 1.1% change in the returns. This is mainly due to the fact that minerals account for larger trade volumes in the dry bulk market and they employ mostly bigger vessels, while the price of Brent oil is also an important factor affecting shipping stock prices.
URI: https://hdl.handle.net/20.500.14279/32658
ISSN: 2364-4575
DOI: 10.1186/s41072-024-00178-9
Rights: Attribution 4.0 International
Type: Article
Affiliation : University of Macedonia 
Cyprus University of Technology 
Appears in Collections:Άρθρα/Articles

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