(PhysOrg.com) -- Since early October 2008, when the Dow Jones Industrial Average began its drop that reached a low point the following March, many questions have been raised - particularly about what caused the crash and ...
(PhysOrg.com) -- Ever since the "flash crash" of May 6, 2010, investors have been wondering exactly what happened that Friday afternoon. As stock markets were trending down due to concern about the debt crisis in Greece, ...
Facebook chief Mark Zuckerberg will sell a chunk of his stake in the company, cashing in some $2.3 billion, as part of a new share offering by the huge social network.
Business
Dec 19, 2013
1
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(Phys.org) —Wikipedia could have been used as early warning signs of stock market movements, according to a new study. Researchers led by Dr Suzy Moat, Senior Research Fellow at Warwick Business School, found that changes ...
Computer Sciences
May 10, 2013
6
0
Google Trends, a tool that looks at patterns of searches on the Internet, is a potential money-spinner for investors as it provides hints of impending stock movements, a study said on Thursday.
Computer Sciences
Apr 25, 2013
2
0
Hackers spooked markets Tuesday after breaking into the Associated Press's Twitter account and falsely reporting President Barack Obama had been injured after two blasts at the White House.
Internet
Apr 23, 2013
1
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(Phys.org)—A 72-year study of the Dow Jones could help avoid the kind of stock market crash that struck the world economy in 2008.
Economics & Business
Oct 19, 2012
52
0
China's leading search engine Baidu will invest more than 10 billion yuan ($1.6 billion) in cloud computing over the coming years, its chief financial officer said on Monday.
Business
Sep 3, 2012
0
0
India has found a way to monitor BlackBerry corporate emails without asking developer Research in Motion (RIM) to hand over encryption codes a report said Wednesday, which could help end a standoff with the Canadian company.
Software
Aug 8, 2012
0
0
A University of California, Riverside professor and several other researchers have developed a model that uses data from Twitter to help predict the traded volume and value of a stock the following day.
Computer Sciences
Mar 26, 2012
1
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