Zhong Hua, Liang Xiaohao, Wang Yougui
School of Systems Science, Beijing Normal University, Beijing 100875, China.
Entropy (Basel). 2023 Jul 30;25(8):1140. doi: 10.3390/e25081140.
Market uncertainty has a significant impact on market performance. Previous studies have dedicated much effort towards investigations into market uncertainty related to information asymmetry and risk. However, they have neglected the uncertainty inherent in market transactions, which is also an important aspect of market performance, besides the quantity of transactions and market efficiency. In this paper, we put forward a concept of transaction entropy to measure market uncertainty and see how it changes with price. Transaction entropy is defined as the ratio of the total information entropy of all traders to the quantity of transactions, reflecting the level of uncertainty in making successful transactions. Based on the computational and simulated results, our main finding is that transaction entropy is the lowest at equilibrium, it will decrease in a shortage market, and increase in a surplus market. Additionally, we make a comparison of the total entropy of the centralized market with that of the decentralized market, revealing that the price-filtering mechanism could effectively reduce market uncertainty. Overall, the introduction of transaction entropy enriches our understanding of market uncertainty and facilitates a more comprehensive assessment of market performance.
市场不确定性对市场表现有重大影响。以往的研究在调查与信息不对称和风险相关的市场不确定性方面投入了大量精力。然而,它们忽略了市场交易中固有的不确定性,除了交易量和市场效率外,这也是市场表现的一个重要方面。在本文中,我们提出了交易熵的概念来衡量市场不确定性,并观察其如何随价格变化。交易熵被定义为所有交易者的总信息熵与交易量的比值,反映了达成成功交易的不确定程度。基于计算和模拟结果,我们的主要发现是,交易熵在均衡时最低,在短缺市场中会下降,在过剩市场中会增加。此外,我们比较了集中市场和分散市场的总熵,发现价格过滤机制可以有效降低市场不确定性。总体而言,交易熵的引入丰富了我们对市场不确定性的理解,并有助于更全面地评估市场表现。