Broker Network Connectivity and the Cross-Section of Expected Returns

Murat Tiniç, A. Şensoy, Muge Demir, D. K. Nguyen
{"title":"Broker Network Connectivity and the Cross-Section of Expected Returns","authors":"Murat Tiniç, A. Şensoy, Muge Demir, D. K. Nguyen","doi":"10.2139/ssrn.3745720","DOIUrl":null,"url":null,"abstract":"This paper examines the relationship between broker network connectivity and stock returns in an order-driven market. Considering all stocks traded in Borsa Istanbul between January 2006 and November 2015, we estimate the monthly density, reciprocity and average weighted clustering coefficient as proxies for the broker network connectivity. Accordingly, firm-level cross-sectional regressions indicate a negative and significant predictive relationship between connectivity and one-month ahead stock returns. Specifically, 1% increase in network connectivity reduces the future returns by 2% even after controlling for other systematic factors. Our univariate and multivariate analyses show that stocks in the lowest connectivity quintile earn 1.0% - 1.6% monthly return premiums. We also document that the connectivity premium is stronger in terms of both economic and statistical significance for small size stocks.","PeriodicalId":153840,"journal":{"name":"Emerging Markets: Finance eJournal","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Emerging Markets: Finance eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3745720","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper examines the relationship between broker network connectivity and stock returns in an order-driven market. Considering all stocks traded in Borsa Istanbul between January 2006 and November 2015, we estimate the monthly density, reciprocity and average weighted clustering coefficient as proxies for the broker network connectivity. Accordingly, firm-level cross-sectional regressions indicate a negative and significant predictive relationship between connectivity and one-month ahead stock returns. Specifically, 1% increase in network connectivity reduces the future returns by 2% even after controlling for other systematic factors. Our univariate and multivariate analyses show that stocks in the lowest connectivity quintile earn 1.0% - 1.6% monthly return premiums. We also document that the connectivity premium is stronger in terms of both economic and statistical significance for small size stocks.
券商网络连通性与预期收益横截面
本文研究了在订单驱动的市场中,经纪人网络连接与股票收益之间的关系。考虑2006年1月至2015年11月在伊斯坦布尔证券交易所交易的所有股票,我们估计了月密度、互惠和平均加权聚类系数作为经纪人网络连通性的代理。因此,公司层面的横断面回归表明,连通性与一个月前股票回报之间存在显著的负相关预测关系。具体来说,即使在控制了其他系统因素之后,网络连接增加1%也会使未来的回报减少2%。我们的单变量和多变量分析显示,连通性最低的五分之一的股票每月收益溢价为1.0% - 1.6%。我们还发现,就经济和统计意义而言,小规模股票的连通性溢价更强。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信