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Behavioral influences in non-ferrous metals prices

机译:行为对有色金属价格的影响

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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. (C) 2015 Elsevier Ltd. All rights reserved.
机译:最近的研究已经发现,在主要是专业交易的市场(例如石油,黄金和外汇)中,交易者存在行为影响。先前的研究在很大程度上将基于行为的调查仅限于股票市场,原因是人们认为噪声交易者会产生任何影响,而这些交易者主要不在专业交易市场中。本文将这项研究扩展到有色金属市场,并证明了对价格的类似影响。结果表明,心理价格壁垒很重要,在心理价格壁垒附近存在可预测的交易模式。具体而言,铅,锌和铝合金在几天内表现出异常的价格反应,尤其是在突破1000美元的价格点之后。也有证据表明在关键价格壁垒之前出现了负价格集群。次期测试进一步表明,相关的心理价格点取决于平均价格。认识到研究的多重假设检验性质,因此实施了通用Bonferroni校正,以提供对数据挖掘可能性的可靠控制。这是对有色金属价格行为影响的首次调查,并表明这些市场不能幸免于影响价格设定的交易者偏见。 (C)2015 Elsevier Ltd.保留所有权利。

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