Intraday Trades Profile Estimation: An Intensity Approach

IF 1.8 3区 经济学 Q2 BUSINESS, FINANCE
Alessio Sancetta
{"title":"Intraday Trades Profile Estimation: An Intensity Approach","authors":"Alessio Sancetta","doi":"10.1093/JJFINEC/NBAB014","DOIUrl":null,"url":null,"abstract":"\n The intraday trades profile is the expected intensity of a counting process where the counts measure the number of trades over an interval. It needs to capture the salient features of the trading activity, its spikes, and periods of relative quietness. This calls for an estimator with a time varying resolution that allows us to identify jumps. The problem can be recast as a regression one, using a fused Lasso penalty. The framework allows us to identify jumps within possibly thousands different locations within a day when the number of trading days at disposal is in the order of hundreds. This can be done without imposing any conditions on the counting process except for certain regularity conditions on the expected intensity. The empirical results suggest that much of the trading activity in some liquid futures can be captured by a deterministic seasonal component in the trade arrival process.","PeriodicalId":47596,"journal":{"name":"Journal of Financial Econometrics","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Financial Econometrics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1093/JJFINEC/NBAB014","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 1

Abstract

The intraday trades profile is the expected intensity of a counting process where the counts measure the number of trades over an interval. It needs to capture the salient features of the trading activity, its spikes, and periods of relative quietness. This calls for an estimator with a time varying resolution that allows us to identify jumps. The problem can be recast as a regression one, using a fused Lasso penalty. The framework allows us to identify jumps within possibly thousands different locations within a day when the number of trading days at disposal is in the order of hundreds. This can be done without imposing any conditions on the counting process except for certain regularity conditions on the expected intensity. The empirical results suggest that much of the trading activity in some liquid futures can be captured by a deterministic seasonal component in the trade arrival process.
日内交易轮廓估计:强度方法
日内交易概况是计数过程的预期强度,其中计数测量间隔内的交易数量。它需要捕捉交易活动的显著特征、峰值和相对平静的时期。这需要一个具有时变分辨率的估计器,使我们能够识别跳跃。这个问题可以用融合的套索惩罚来重新定义为回归问题。该框架使我们能够在一天内识别可能在数千个不同位置的跳跃,而可供处理的交易日数量为数百个。这可以在计数过程中不施加任何条件,除了预期强度的某些规则性条件。实证结果表明,一些流动性期货的大部分交易活动可以通过交易到达过程中的确定性季节性成分来捕捉。
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
CiteScore
5.60
自引率
8.00%
发文量
39
期刊介绍: "The Journal of Financial Econometrics is well situated to become the premier journal in its field. It has started with an excellent first year and I expect many more."
×
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