Safeguard Scientifics, Inc. is a diversified information technology company that develops, operates and manages emerging growth information technology companies. The company is currently focusing on emerging opportunities in eCommerce, enterprise applications, and network infrastructure, all of which are expected to benefit from the growing use of the Internet as a fundamental business tool. The company works closely with our partnership companies to provide numerous operational and management services to build value in preparation for public rights offerings and beyond....
+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 28 February 2026
2024-05-27 03:23:34 Monday ET

Stock Synopsis: Life insurers emphasize profit margins over sales growth rates. We review and analyze the recent market share data in the U.S. life insur
2019-08-05 13:30:00 Monday ET

China continues to sell U.S. Treasury bonds amid Sino-U.S. trade truce uncertainty. In mid-2019, China reduces its U.S. Treasury bond positions by $20.5 bil
2018-07-23 07:41:00 Monday ET

President Trump now agrees to cease fire in the trade conflict with the European Union. Both sides can work together towards *zero tariffs, zero non-tariff
2019-03-01 13:36:00 Friday ET

Global economic uncertainty now lurks in a thick layer of mystery. This uncertainty arises from Sino-U.S. trade tension, Brexit fallout, monetary policy nor
2018-01-01 06:30:00 Monday ET

As former chairman of the British Financial Services Authority and former director of the London School of Economics, Howard Davies shares his ingenious ins
2022-02-25 00:00:00 Friday ET

Empirical tests of multi-factor models for asset return prediction The capital asset pricing model (CAPM) of Sharpe (1964), Lintner (1965), and Bla