{"title":"A novel method for analyzing financial market efficiency through fuzzy set theory","authors":"Abolfazl Askari, Ehsan Hajizadeh","doi":"10.1016/j.frl.2025.107243","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces the Fuzzy Market Inefficiency Measure (FMIM), a novel approach for evaluating financial market efficiency by leveraging fuzzy set theory. FMIM addresses limitations in traditional metrics by modeling inefficiency as a triangular fuzzy number, capturing the inherent uncertainties and non-linear dynamics of financial markets. The methodology incorporates fuzzy regression with triangular membership functions and employs a straightforward optimization framework for parameter estimation. Empirical analysis across diverse asset classes—including equities, commodities, and cryptocurrencies—demonstrates FMIM's robustness, particularly during periods of heightened market uncertainty, such as the 2008 financial crisis and the 2020 COVID-19 pandemic. FMIM not only detects pronounced inefficiencies during turbulence but also provides nuanced insights into subtle variations under stable conditions. By introducing a flexible and adaptive framework, FMIM offers researchers, analysts, and policymakers a powerful tool for advancing the understanding of inefficiency dynamics in complex financial environments.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"78 ","pages":"Article 107243"},"PeriodicalIF":7.4000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finance Research Letters","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1544612325005069","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces the Fuzzy Market Inefficiency Measure (FMIM), a novel approach for evaluating financial market efficiency by leveraging fuzzy set theory. FMIM addresses limitations in traditional metrics by modeling inefficiency as a triangular fuzzy number, capturing the inherent uncertainties and non-linear dynamics of financial markets. The methodology incorporates fuzzy regression with triangular membership functions and employs a straightforward optimization framework for parameter estimation. Empirical analysis across diverse asset classes—including equities, commodities, and cryptocurrencies—demonstrates FMIM's robustness, particularly during periods of heightened market uncertainty, such as the 2008 financial crisis and the 2020 COVID-19 pandemic. FMIM not only detects pronounced inefficiencies during turbulence but also provides nuanced insights into subtle variations under stable conditions. By introducing a flexible and adaptive framework, FMIM offers researchers, analysts, and policymakers a powerful tool for advancing the understanding of inefficiency dynamics in complex financial environments.
期刊介绍:
Finance Research Letters welcomes submissions across all areas of finance, aiming for rapid publication of significant new findings. The journal particularly encourages papers that provide insight into the replicability of established results, examine the cross-national applicability of previous findings, challenge existing methodologies, or demonstrate methodological contingencies.
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