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Oracle Corporation Common Stock (NYSE:ORCL)

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Oracle Corporation is one of the largest enterprise-grade database, middleware and application software providers. Oracle has expanded its cloud computing operations over the last couple of years. The company offers cloud solutions and services that can be used to build and manage various cloud deployment models. Built upon open industry standards such as SQL, Java and HTML5, Oracle Cloud provides access to application services, platform services and infrastructure services for a subscription. Through its Oracle Enterprise Manager offering, the company manages cloud environments. Oracle's software and hardware products and services include Oracle Database, Oracle Fusion Middleware, Java and Oracle Engineered Systems. Oracle Engineered Systems include Exadata Database Machine, Exalogic Elastic Cloud, Exalytics In-Memory Machine, SPARC SuperCluster, Virtual Compute Alliance, Oracle Database Appliance, Oracle Big Data Appliance and ZFS Storage....

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Here we provide our AYA proprietary alpha stock signals for all premium members on our AYA fintech network platform. Specifically, a high Fama-French multi-factor dynamic conditional alpha suggests that the stock is likely to consistently outperform the broader stock market benchmarks such as S&P 500, Dow Jones, Nasdaq, Russell 3000, MSCI USA, and MSCI World etc. Since March 2023, our proprietary alpha stock signals retain U.S. Patent and Trademark Office (USPTO) fintech patent protection, approval, and accreditation for 20 years. Our homepage and blog articles provide more details on this proprietary alpha stock market investment model with robust long-term historical backtest evidence.

Sharpe-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 7 March 2026

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Empirical tests of multi-factor models for asset return prediction

Apple Boston

2022-02-25 00:00:00 Friday ET

Empirical tests of multi-factor models for asset return prediction

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

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Senator Elizabeth Warren proposes breaking up key tech titans such as Facebook, Apple, Microsoft, Google, and Amazon (FAMGA).

Becky Berkman

2019-03-21 12:33:00 Thursday ET

Senator Elizabeth Warren proposes breaking up key tech titans such as Facebook, Apple, Microsoft, Google, and Amazon (FAMGA).

Senator Elizabeth Warren proposes breaking up key tech titans such as Facebook, Apple, Microsoft, Google, and Amazon (FAMGA). These tech titans have become

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The Sino-U.S. trade war may be the Thucydides trap or a clash of Caucasian and non-Caucasian civilizations.

Chanel Holden

2019-06-03 11:31:00 Monday ET

The Sino-U.S. trade war may be the Thucydides trap or a clash of Caucasian and non-Caucasian civilizations.

The Sino-U.S. trade war may be the Thucydides trap or a clash of Caucasian and non-Caucasian civilizations. The proverbial Thucydides trap refers to the his

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Ray Fair applies his macroeconometric model to study the central features of the U.S. macroeconomy such as price stability and full employment in the dual mandate.

Charlene Vos

2023-07-14 10:32:00 Friday ET

Ray Fair applies his macroeconometric model to study the central features of the U.S. macroeconomy such as price stability and full employment in the dual mandate.

Ray Fair applies his macroeconometric model to study the central features of the U.S. macroeconomy such as price stability and full employment in the dual m

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The global market for GLP-1 weight-loss medications can grow substantially to benefit more than 1 billion people worldwide by 2030.

Monica McNeil

2025-10-31 12:26:00 Friday ET

The global market for GLP-1 weight-loss medications can grow substantially to benefit more than 1 billion people worldwide by 2030.

With respect to wider weight loss treatment and obesity treatment, the global market for GLP-1 medications now grows substantially to benefit more than 1 bi

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Facebook, Google, and Twitter attend a U.S. House testimony on whether these tech titans filter web content for political reasons.

Amy Hamilton

2018-07-15 11:35:00 Sunday ET

Facebook, Google, and Twitter attend a U.S. House testimony on whether these tech titans filter web content for political reasons.

Facebook, Google, and Twitter attend a U.S. House testimony on whether these social media titans filter web content for political reasons. These network pla

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