Agilent Technologies, Inc. is an original equipment manufacturer of a broad-based portfolio of test and measurement products serving multiple end markets. Recently, the company has diversified into new end markets, namely industrial, chemical and electronics markets. The company has three business segments, including Life Sciences & Applied Markets Group (LSAG), Diagnostics and Genomics Group (DGG) and Agilent Cross Lab Group (ACG).The company uses a direct sales model for the distribution of its products, which is supplemented by distributors, resellers, manufacturers' representatives, telesales and electronic commerce, as necessary....
+See MoreSharpe-Lintner-Black CAPM alpha (Premium Members Only) Fama-French (1993) 3-factor alpha (Premium Members Only) Fama-French-Carhart 4-factor alpha (Premium Members Only) Fama-French (2015) 5-factor alpha (Premium Members Only) Fama-French-Carhart 6-factor alpha (Premium Members Only) Dynamic conditional 6-factor alpha (Premium Members Only) Last update: Saturday 30 May 2026
2019-07-23 09:22:00 Tuesday ET

Harvard economic platform researcher Dipayan Ghosh proposes some alternative solutions to breaking up tech titans such as Facebook, Google, Apple, and Amazo
2019-05-15 12:32:00 Wednesday ET

The May administration needs to seek a fresh fallback option for Halloween Brexit. After the House of Commons rejects Brexit proposals from the May administ
2017-08-13 09:36:00 Sunday ET

Several investors and billionaires such as George Soros, Warren Buffett, Carl Icahn, and Howard Marks suggest that the time may be ripe for a major financia
2018-08-23 11:34:00 Thursday ET

Harvard financial economist Alberto Cavallo empirically shows the recent *Amazon effect* that online retailers such as Amazon, Alibaba, and eBay etc use fas
2018-02-15 07:43:00 Thursday ET

Fed minutes reflect gradual interest rate normalization in response to high inflation risk. FOMC members revise up the economic projections made at the Dece
2020-09-03 10:26:00 Thursday ET

Agile business firms beat the odds by building faster institutional reflexes to anticipate plausible economic scenarios. Christopher Worley, Thomas Willi