{"title":"Artificial intelligence, information environment, and capital market efficiency","authors":"Abdulazeez Y.H. Saif-Alyousfi","doi":"10.1016/j.ribaf.2025.103094","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the impact of Artificial Intelligence (AI) and the information environment on capital market efficiency, using stock price synchronicity as a proxy. Analyzing data from Indian listed firms from 2018 to 2023, we find that AI significantly enhances market efficiency by increasing the uniformity of stock price movements in response to new information. The information environment, characterized by analyst attention, Big4 audits, and investor attention, shows mixed effects. Analyst coverage and Big4 audits reduce synchronization by disseminating firm-specific information and enhancing transparency, respectively. In contrast, investor attention increases synchronization by aligning stock prices with market movements. Furthermore, the interaction between AI and the information environment variables reveals that AI amplifies the effects of high analyst coverage, rigorous audits, and strong investor attention, leading to greater market synchronization. Robustness checks, replacing the dependent variable, endogeneity tests, and analyses based on different property rights, confirm these findings. Notably, state-owned enterprises benefit more from AI and information environment factors compared to non-state-owned enterprises. This study highlights the crucial role of AI and a transparent information environment in enhancing capital market efficiency and provides significant policy implications for regulators, financial institutions, and market participants to foster AI adoption, improve information transparency, and tailor regulations to different ownership structures.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"79 ","pages":"Article 103094"},"PeriodicalIF":6.9000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in International Business and Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0275531925003502","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 study investigates the impact of Artificial Intelligence (AI) and the information environment on capital market efficiency, using stock price synchronicity as a proxy. Analyzing data from Indian listed firms from 2018 to 2023, we find that AI significantly enhances market efficiency by increasing the uniformity of stock price movements in response to new information. The information environment, characterized by analyst attention, Big4 audits, and investor attention, shows mixed effects. Analyst coverage and Big4 audits reduce synchronization by disseminating firm-specific information and enhancing transparency, respectively. In contrast, investor attention increases synchronization by aligning stock prices with market movements. Furthermore, the interaction between AI and the information environment variables reveals that AI amplifies the effects of high analyst coverage, rigorous audits, and strong investor attention, leading to greater market synchronization. Robustness checks, replacing the dependent variable, endogeneity tests, and analyses based on different property rights, confirm these findings. Notably, state-owned enterprises benefit more from AI and information environment factors compared to non-state-owned enterprises. This study highlights the crucial role of AI and a transparent information environment in enhancing capital market efficiency and provides significant policy implications for regulators, financial institutions, and market participants to foster AI adoption, improve information transparency, and tailor regulations to different ownership structures.
期刊介绍:
Research in International Business and Finance (RIBAF) seeks to consolidate its position as a premier scholarly vehicle of academic finance. The Journal publishes high quality, insightful, well-written papers that explore current and new issues in international finance. Papers that foster dialogue, innovation, and intellectual risk-taking in financial studies; as well as shed light on the interaction between finance and broader societal concerns are particularly appreciated. The Journal welcomes submissions that seek to expand the boundaries of academic finance and otherwise challenge the discipline. Papers studying finance using a variety of methodologies; as well as interdisciplinary studies will be considered for publication. Papers that examine topical issues using extensive international data sets are welcome. Single-country studies can also be considered for publication provided that they develop novel methodological and theoretical approaches or fall within the Journal''s priority themes. It is especially important that single-country studies communicate to the reader why the particular chosen country is especially relevant to the issue being investigated. [...] The scope of topics that are most interesting to RIBAF readers include the following: -Financial markets and institutions -Financial practices and sustainability -The impact of national culture on finance -The impact of formal and informal institutions on finance -Privatizations, public financing, and nonprofit issues in finance -Interdisciplinary financial studies -Finance and international development -International financial crises and regulation -Financialization studies -International financial integration and architecture -Behavioral aspects in finance -Consumer finance -Methodologies and conceptualization issues related to finance