Market tempo: Decoding information speed across global stock markets

IF 4.8 2区 经济学 Q1 BUSINESS, FINANCE International Review of Economics & Finance Pub Date : 2024-09-11 DOI:10.1016/j.iref.2024.103635
Azadeh Erfanian , Mohamed Ariff , M. Ishaq Bhatti
{"title":"Market tempo: Decoding information speed across global stock markets","authors":"Azadeh Erfanian ,&nbsp;Mohamed Ariff ,&nbsp;M. Ishaq Bhatti","doi":"10.1016/j.iref.2024.103635","DOIUrl":null,"url":null,"abstract":"<div><p>This study explores the speed of information absorption in global stock markets using the Damodaran model. Analysing daily stock returns from 2005 to 2015 across 25 countries and 26 indices, the research categorizes markets into major, OECD, and emerging types. Major markets demonstrate the fastest adjustment, achieving a remarkable 1-day speed, followed by OECD markets with a 2–4-day span and emerging markets showing a 2–6-day duration for full information absorption. The results highlight significant mean speed variations across these market categories, offering practical insights for international businesses, corporations, and mutual funds navigating financial transactions globally. This study contributes valuable insights into information absorption speed, emphasizing the hierarchy of major, OECD, and emerging markets based on their speediness. Limitations include the exclusive focus on daily stock returns and the absence of specific diagnostic statistics for the Damodaran model.</p></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"96 ","pages":"Article 103635"},"PeriodicalIF":4.8000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Economics & Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1059056024006270","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 explores the speed of information absorption in global stock markets using the Damodaran model. Analysing daily stock returns from 2005 to 2015 across 25 countries and 26 indices, the research categorizes markets into major, OECD, and emerging types. Major markets demonstrate the fastest adjustment, achieving a remarkable 1-day speed, followed by OECD markets with a 2–4-day span and emerging markets showing a 2–6-day duration for full information absorption. The results highlight significant mean speed variations across these market categories, offering practical insights for international businesses, corporations, and mutual funds navigating financial transactions globally. This study contributes valuable insights into information absorption speed, emphasizing the hierarchy of major, OECD, and emerging markets based on their speediness. Limitations include the exclusive focus on daily stock returns and the absence of specific diagnostic statistics for the Damodaran model.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
市场节奏:解码全球股市的信息速度
本研究利用达摩达兰模型探讨全球股票市场的信息吸收速度。研究分析了 2005 年至 2015 年 25 个国家和 26 个指数的每日股票回报,将市场分为主要市场、经合组织市场和新兴市场。主要市场的调整速度最快,达到了惊人的1天速度,其次是经合组织市场,时间跨度为2-4天,新兴市场则需要2-6天才能完全吸收信息。研究结果凸显了这些市场类别之间平均速度的显著差异,为在全球范围内开展金融交易的国际企业、公司和共同基金提供了实用的见解。这项研究对信息吸收速度提出了宝贵的见解,强调了主要市场、经合组织市场和新兴市场在速度上的等级划分。局限性包括只关注每日股票回报率,以及缺乏达莫达兰模型的具体诊断统计数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
7.30
自引率
2.20%
发文量
253
期刊介绍: The International Review of Economics & Finance (IREF) is a scholarly journal devoted to the publication of high quality theoretical and empirical articles in all areas of international economics, macroeconomics and financial economics. Contributions that facilitate the communications between the real and the financial sectors of the economy are of particular interest.
期刊最新文献
The impact of digital transformation on ESG performance Can long-term institutional owners improve market efficiency in parsing complex legal disputes? How does data factor utilization stimulate corporate total factor productivity: A discussion of the productivity paradox The local government fiscal pressure's effect on green total factor productivity: Exploring mechanisms from the perspective of government behavior Big data development and enterprise green innovation: Text analysis of listed companies’ annual reports
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1