Version 1
: Received: 7 March 2024 / Approved: 8 March 2024 / Online: 8 March 2024 (04:50:38 CET)
How to cite:
Chen, F.; Liang, X. Multifractal Dynamics and Complexity Transformation in the Tanker Freight Market. Preprints2024, 2024030489. https://doi.org/10.20944/preprints202403.0489.v1
Chen, F.; Liang, X. Multifractal Dynamics and Complexity Transformation in the Tanker Freight Market. Preprints 2024, 2024030489. https://doi.org/10.20944/preprints202403.0489.v1
Chen, F.; Liang, X. Multifractal Dynamics and Complexity Transformation in the Tanker Freight Market. Preprints2024, 2024030489. https://doi.org/10.20944/preprints202403.0489.v1
APA Style
Chen, F., & Liang, X. (2024). Multifractal Dynamics and Complexity Transformation in the Tanker Freight Market. Preprints. https://doi.org/10.20944/preprints202403.0489.v1
Chicago/Turabian Style
Chen, F. and Xiaofeng Liang. 2024 "Multifractal Dynamics and Complexity Transformation in the Tanker Freight Market" Preprints. https://doi.org/10.20944/preprints202403.0489.v1
Abstract
This research investigates the complex transformation of the Baltic Clean and Dirty Tankers markets from 1998 to 2023. Our study quantifies the market multifractality in two distinct periods, from 1998 to 2010 and 2010 to 2023. We compare multifractal measures of the original, surrogated, and shuffled data, which indicate high multifractality and a complex market structure influenced by temporal organization and inherent volatility. Shuffled data analysis emphasizes the critical role of temporal sequences within market behaviour. Additionally, the study delves into external factors such as regulatory changes, economic disturbances, technological innovation, and environmental concerns contributing to market complexity. A distinct shift in multifractal values between the two periods suggests an evolution from crisis-induced complexities to a market influenced by diversified and modern dynamics. Our findings offer a concise understanding of the multifractal nature of the tanker markets and how global crises can impact the markets, emphasizing the importance of considering systemic risks in freight market analysis.
Computer Science and Mathematics, Data Structures, Algorithms and Complexity
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
