Algorithmic trading and changes in firms equity capital

We use a large sample from 2001 to 2009 that incorporates intraday transactions data from 39 exchanges and an average of 12,800 different common stocks to assess the effect of algorithmic trading (AT) on firms’ capital raising activities. Greater AT reduces net equity issues over the next year, but...

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Main Authors: BOEHMER, Ekkehart, FONG, Kingsley, WU, Julie
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/5301
https://ink.library.smu.edu.sg/context/lkcsb_research/article/6300/viewcontent/SSRN_id2050856.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.lkcsb_research-63002017-10-23T02:30:32Z Algorithmic trading and changes in firms equity capital BOEHMER, Ekkehart FONG, Kingsley WU, Julie We use a large sample from 2001 to 2009 that incorporates intraday transactions data from 39 exchanges and an average of 12,800 different common stocks to assess the effect of algorithmic trading (AT) on firms’ capital raising activities. Greater AT reduces net equity issues over the next year, but this is only partly driven by AT’s effect on proceeds from new securities issues. Our findings suggest that the main driver of this relationship is AT’s effect on share repurchases. 2012-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/5301 info:doi/10.2139/ssrn.2050856 https://ink.library.smu.edu.sg/context/lkcsb_research/article/6300/viewcontent/SSRN_id2050856.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Algorighmic trading high frequency trading capital raising security issues Finance and Financial Management Real Estate Technology and Innovation
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Algorighmic trading
high frequency trading
capital raising
security issues
Finance and Financial Management
Real Estate
Technology and Innovation
spellingShingle Algorighmic trading
high frequency trading
capital raising
security issues
Finance and Financial Management
Real Estate
Technology and Innovation
BOEHMER, Ekkehart
FONG, Kingsley
WU, Julie
Algorithmic trading and changes in firms equity capital
description We use a large sample from 2001 to 2009 that incorporates intraday transactions data from 39 exchanges and an average of 12,800 different common stocks to assess the effect of algorithmic trading (AT) on firms’ capital raising activities. Greater AT reduces net equity issues over the next year, but this is only partly driven by AT’s effect on proceeds from new securities issues. Our findings suggest that the main driver of this relationship is AT’s effect on share repurchases.
format text
author BOEHMER, Ekkehart
FONG, Kingsley
WU, Julie
author_facet BOEHMER, Ekkehart
FONG, Kingsley
WU, Julie
author_sort BOEHMER, Ekkehart
title Algorithmic trading and changes in firms equity capital
title_short Algorithmic trading and changes in firms equity capital
title_full Algorithmic trading and changes in firms equity capital
title_fullStr Algorithmic trading and changes in firms equity capital
title_full_unstemmed Algorithmic trading and changes in firms equity capital
title_sort algorithmic trading and changes in firms equity capital
publisher Institutional Knowledge at Singapore Management University
publishDate 2012
url https://ink.library.smu.edu.sg/lkcsb_research/5301
https://ink.library.smu.edu.sg/context/lkcsb_research/article/6300/viewcontent/SSRN_id2050856.pdf
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