http://www.business.uiuc.edu/publications/news_home.aspxThe latest news in the College of BusinessScientists used two of the world?s largest supercomputers in a study that has determined the impact of high-frequency trading on US stock markets is virtually nothing. In fact, the research suggests that the bulk of high-frequency trading transactions are cancellations?32:1 when trading occurs in nanoseconds?which do nothing to increase liquidity in the market and have no impact on trading volume and price efficiency. Quartz has previously written that high-frequency trading can actually be ghttp://www.business.uiuc.edu/publications/news_item.aspx?ID=1862http://www.business.uiuc.edu/publications/news_item.aspx?ID=1862Fri, 11 Jan 2013 00:00:00 CSTResearch by Mao Ye, assistant professor of finance, and graduate students Chen Yao and Jiading Gai, argues the increase in stock trading speed from microseconds to nanoseconds affords little value to investors and the public.http://www.business.uiuc.edu/publications/news_item.aspx?ID=1793http://www.business.uiuc.edu/publications/news_item.aspx?ID=1793Thu, 10 Jan 2013 00:00:00 CSTCHAMPAIGN, Ill. ? The increase in the speed of stock trading from microseconds to nanoseconds leads to an increase in order cancellation, but little else of value to investors and the public, says research by a University of Illinois business professor. According to a forthcoming study by Mao Ye, a professor of finance at Illinois, the arms race in speed at the sub-millisecond level of stock trading is a ?purely positional game? in which a trader?s payoff depends on transaction speed relativehttp://www.business.uiuc.edu/publications/news_item.aspx?ID=1864http://www.business.uiuc.edu/publications/news_item.aspx?ID=1864Thu, 10 Jan 2013 00:00:00 CSTMao Ye, professor of finance, works with a colleague from Cornell to address several questions related to high frequency trading.http://www.business.uiuc.edu/publications/news_item.aspx?ID=1710http://www.business.uiuc.edu/publications/news_item.aspx?ID=1710Wed, 10 Oct 2012 00:00:00 CSTResearchers are using supercomputers to understand how high-frequency computer trading is changing Wall Street. At the University of Illinois, assistant professor of finance Mao Ye and Chen Yao and Jiading Gai used supercomputing resources made available through the National Science Foundation?s XSEDE program. Launched in July 2011, the program supports research in areas not traditionally involved with HPC.http://www.business.uiuc.edu/publications/news_item.aspx?ID=1867http://www.business.uiuc.edu/publications/news_item.aspx?ID=1867Fri, 05 Oct 2012 00:00:00 CSTCHAMPAIGN-URBANA ? The increasing role of computers in Wall Street trading has gathered wide attention, including a September hearing before the U.S. Senate Subcommittee on Securities, Insurance and Investment. At that hearing, testimony cited a study ? referring to it as "ground-breaking" ? that a team at the University of Illinois at Urbana-Champaign reported as "the first paper to explore the impact of high-frequency trading in a nanosecond environment."http://www.business.uiuc.edu/publications/news_item.aspx?ID=1866http://www.business.uiuc.edu/publications/news_item.aspx?ID=1866Thu, 04 Oct 2012 00:00:00 CSTChen Yao, doctoral candidate in finance, and Mao Ye, assistant professor of finance, are credited for their research that revealed the growing importance of odd lots in calculating U.S. trading volume.http://www.business.uiuc.edu/publications/news_item.aspx?ID=1688http://www.business.uiuc.edu/publications/news_item.aspx?ID=1688Mon, 10 Sep 2012 00:00:00 CSTMao Ye, professor of finance and co-author a study looking at odd-lots of stocks finds that increasing numbers of such trades can impact perceptions of market behavior. (Businessweek)http://www.business.uiuc.edu/publications/news_item.aspx?ID=1576http://www.business.uiuc.edu/publications/news_item.aspx?ID=1576Tue, 08 May 2012 00:00:00 CSTResearch by Mao Ye, assistant professor of finance, is using a supercomputer at the University of California to test for possible market manipulation by high-frequency traders.http://www.business.uiuc.edu/publications/news_item.aspx?ID=1512http://www.business.uiuc.edu/publications/news_item.aspx?ID=1512Tue, 06 Mar 2012 00:00:00 CSTInitial Projects Range from Storm Predictions to Stock Market Data Accurately predicting severe storms, or what Wall Street?s markets will do next, may become just a bit easier in coming months as Gordon, a unique supercomputer at the San Diego Supercomputer Center (SDSC) at the University of California, San Diego, begins helping researchers delve into these and other data-intensive projects.http://www.business.uiuc.edu/publications/news_item.aspx?ID=1865http://www.business.uiuc.edu/publications/news_item.aspx?ID=1865Mon, 05 Mar 2012 00:00:00 CSTScientists have hit a speed bump in the unending quest to figure out how and why genes go bad and make people sick. Computers are generating data faster than they can handle it. The explosion is forcing some researchers to erase information even before it can be studied to make room for more data. The bottleneck is so bad a $20 million machine called Gordon was built at the San Diego Supercomputer Center to enable scholars from across the nation to rapidly store and analyze some of the larhttp://www.business.uiuc.edu/publications/news_item.aspx?ID=1863http://www.business.uiuc.edu/publications/news_item.aspx?ID=1863Sun, 01 Jan 2012 00:00:00 CSTFinance Professor Mao Ye, doctoral student Chen Yao ?10 MS, and a colleague from Cornell University examine how a lack of transparency in odd-lot trades has led to missing data that could skew perceptions of the market.http://www.business.uiuc.edu/publications/news_item.aspx?ID=1370http://www.business.uiuc.edu/publications/news_item.aspx?ID=1370Thu, 06 Oct 2011 00:00:00 CST