Behavioral influences in non-ferrous metals prices
Mark Cummins,
Michael Dowling and
Brian Lucey
Resources Policy, 2015, vol. 45, issue C, 9-22
Abstract:
Recent research has identified the presence of behavioral influences on traders in predominantly professionally traded markets such as oil, gold, and foreign exchange. Previous research had largely confined behavioral-based investigations to equity markets due to an assumption that noise traders would drive any influence and these traders were mainly absent from the professionally traded markets. This paper extends this research to the non-ferrous metals markets and demonstrates similar influences on prices. It is shown that psychological price barriers, where there is predictable trading patterns around psychologically important price points, are important. Specifically, lead, zinc, and aluminium alloy show anomalous price reactions in the days particularly following a breach of a $1000 price point. There is also evidence presented of negative price clustering before key price barriers. Subperiod tests further indicate that the relevant psychological price point is dependent on average prices. Recognizing the multiple hypothesis testing nature of the study, Generalized Bonferroni corrections are implemented to provide a robust control for the possibility of data mining. This represents a first investigation of behavioral influences in non-ferrous metals prices, and suggests that these markets are not immune to trader biases influencing the setting of prices.
Keywords: Keywords; Psychological barriers; Clustering; Non-ferrous metals (search for similar items in EconPapers)
JEL-codes: G13 G14 L61 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
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Working Paper: Behavioral Influences in Non-Ferrous Metals Prices (2014) 
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:45:y:2015:i:c:p:9-22
DOI: 10.1016/j.resourpol.2015.03.002
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