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Testing for Granger Causality in the Stock Price-Volume Relation: A Perspective from the Agent-Based Model of Stock Markets

机译:在股票价格批量关系中检测格兰杰因果关系:从基于代理的股票市场模型的视角

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From the perspective of the agent-based model of stock markets, this paper examines the possible explanations for the presence of the causal relation between stock returns and trading volume. In addition, since the excess demand for the stock is an observable variable in our model, the causal relation between stock returns and the excess demand for the stock is also examined. Using a new version of the Granger causality test, which does not require an ad-hoc procedure of filtering, we found that the bi-directional causality between trading stock returns and trading volume ubiquitously exists in all our four artificial stock markets of different designs. The implementation of this result is that the presence of the stock price-volume causal relation does not require any explicit assumptions like information asymmetry, reaction asymmetry, noise traders, or tax motives. In fact, it suggests that the causal relation may be a generic property in a market modeled as evolving decentralized system of autonomous interacting agents.
机译:从基于代理的股票市场模型的角度来看,本文审查了股票回报和交易量之间存在因果关系的可能解释。此外,由于对股票的多余需求是我们模型中可观察变量,还检查了股票回报与股票需求的因果关系。使用新版本的Granger因果关系测试,不需要筛选的临时程序,我们发现,我们四个不同设计的四个人工股市之间的交易股票回报和交易量之间的双向因果关系。这一结果的实施是,股票价格储存因果关系的存在不需要任何明确的假设,如信息不对称,反应不对称,噪音交易员或税收机构。事实上,它表明,因果关系可能是市场中的普通财产,该市场被建模为改进的自主互动剂的分散系统。

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