Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/42086
Title: Using Empirical Data to Estimate Potential Functions in Commodity Markets: Some Initial Results
Authors: Shen, C.
Haven, Emmanuel
First Published: 15-Jul-2017
Publisher: Springer Verlag
Citation: International Journal of Theoretical Physics, 2017, 56 (12), pp. 4092-4104
Abstract: This paper focuses on estimating real and quantum potentials from financial commodities. The log returns of six common commodities are considered. We find that some phenomena, such as the vertical potential walls and the time scale issue of the variation on returns, also exists in commodity markets. By comparing the quantum and classical potentials, we attempt to demonstrate that the information within these two types of potentials is different. We believe this empirical result is consistent with the theoretical assumption that quantum potentials (when embedded into social science contexts) may contain some social cognitive or market psychological information, while classical potentials mainly reflect ‘hard’ market conditions. We also compare the two potential forces and explore their relationship by simply estimating the Pearson correlation between them. The Medium or weak interaction effect may indicate that the cognitive system among traders may be affected by those ‘hard’ market conditions.
DOI Link: 10.1007/s10773-017-3446-z
ISSN: 0020-7748
eISSN: 1572-9575
Links: https://link.springer.com/article/10.1007%2Fs10773-017-3446-z
http://hdl.handle.net/2381/42086
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2017. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, College of Social Science

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