Transaction Entropy: An Alternative Metric of Market Performance.

market performance market uncertainty price filtering mechanism transaction entropy willingness price

Journal

Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874

Informations de publication

Date de publication:
30 Jul 2023
Historique:
received: 30 06 2023
revised: 21 07 2023
accepted: 28 07 2023
medline: 26 8 2023
pubmed: 26 8 2023
entrez: 26 8 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37628170
pii: e25081140
doi: 10.3390/e25081140
pmc: PMC10452987
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Entropy (Basel). 2021 May 03;23(5):
pubmed: 34063670
Entropy (Basel). 2022 Apr 29;24(5):
pubmed: 35626508

Auteurs

Hua Zhong (H)

School of Systems Science, Beijing Normal University, Beijing 100875, China.

Xiaohao Liang (X)

School of Systems Science, Beijing Normal University, Beijing 100875, China.

Yougui Wang (Y)

School of Systems Science, Beijing Normal University, Beijing 100875, China.

Classifications MeSH