XBRL Adoption and Information Asymmetry : Evidence from the Indian Capital Market

Q2 Economics, Econometrics and Finance Indian Journal of Finance Pub Date : 2023-07-01 DOI:10.17010/ijf/2023/v17i7/170240
Sushant Gupta, Ajay Chandel, Lalit Bhalla
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Abstract

Purpose : The study was conducted in the context of the Indian capital market to find out the effect of adopting XBRL (eXtensible Business Reporting Language) on the reduction of information asymmetry and the impact of XBRL on the trading volume of the market. Methodology : In the current study, trading volume has been taken as the proxy variable to study the impact of XBRL adoption on information asymmetry. The study focused on the pre-and postadoption XBRL effect on information asymmetry, followed by the influence of the implementation of XBRL, which is measured by taking the trading volume of the Indian capital market as a proxy variable. Data for 270 listed firms were collected for this research during a 20-year period, from 2001–2020, including 11 years before the implementation of XBRL and 9 years after it. Findings : There is a significant difference in the information asymmetry pre- and post-adoption of XBRL by Indian listed firms. A strong positive and significant relationship has been found between XBRL and the trading volume of the Indian capital market due to a reduction in information asymmetry. Practical Implications : Listed companies might increase investments by offering their stakeholders XBRL-enabled software and services. Regulatory authorities can also enable companies to disclose reports that are useful to decision-making stakeholders according to the XBRL taxonomy. The adoption of XBRL helps reduce information asymmetry, increase companies’ valuation, and lower the cost of capital. Originality : This study contributes to the financial reporting and Indian capital markets fields. This study contributes to the literature by identifying the impact on Indian capital markets post-adoption of XBRL.
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采用XBRL与信息不对称:来自印度资本市场的证据
目的:本研究以印度资本市场为背景,研究采用XBRL (eXtensible Business Reporting Language,可扩展商业报告语言)对减少信息不对称的效果,以及XBRL对市场交易量的影响。方法学:本研究以交易量为代理变量,研究采用XBRL对信息不对称的影响。研究重点是采用XBRL前后对信息不对称的影响,其次是采用XBRL对信息不对称的影响,以印度资本市场的交易量作为代理变量来衡量。本研究收集了270家上市公司2001年至2020年20年间的数据,其中包括XBRL实施前的11年和实施后的9年。研究发现:印度上市公司采用XBRL前后的信息不对称存在显著差异。由于信息不对称的减少,XBRL与印度资本市场交易量之间存在强烈的正相关关系。实际含义:上市公司可以通过向利益相关者提供支持xbrl的软件和服务来增加投资。监管机构还可以允许公司根据XBRL分类法披露对决策涉众有用的报告。采用XBRL有助于减少信息不对称,提高公司估值,降低资金成本。独创性:本研究对财务报告和印度资本市场领域有贡献。本研究通过确定采用XBRL后对印度资本市场的影响,为文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Indian Journal of Finance
Indian Journal of Finance Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
1.50
自引率
0.00%
发文量
37
期刊介绍: a source of sophisticated analysis of developments in the rapidly expanding world of finance, is a double blind peer reviewed refereed monthly journal that publishes articles on a wide variety of topics ranging from corporate to personal finance, insurance to financial economics, and derivatives. It provides a forum for exchange of ideas and techniques among academicians and practitioners and thereby, advances applied research in financial management. The journal, with its mission to promote thinking on various facets of finance, is targeted at academicians, scholars, and professionals associated with the field of finance to promote pragmatic research by disseminating the results of research in finance, accounting, financial economics, and sub - areas such as theory and analysis of fiscal markets and instruments, financial derivatives research, insurance, portfolio selection, credit and market risk, statistical and empirical financial studies based on advanced stochastic methods, financial instruments for risk management, uncertainty, and information in relation to finance.
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