Core Viewpoint - The "Dogs of the Dow" strategy, which involves investing in the 10 highest dividend-yielding stocks in the Dow Jones Industrial Average, has historically outperformed the broader index but has faced challenges in recent years [1][4]. Investment Strategy - The "Dogs of the Dow" strategy involves selecting the 10 Dow stocks with the highest dividend yields at the end of each calendar year, investing equal amounts in each, and holding the portfolio for a year before refreshing it with the new highest-yielding stocks [2][3]. Recent Performance - The performance of the "Dogs of the Dow" strategy has declined in recent years, with the Elements Dogs of the Dow Fund matching the Dow's performance until the late 2010s, after which it fell behind [4]. Company Highlights JPMorgan Chase & Co. (NYSE:JPM) - Dividend Yield as of December 16: 1.90% [10] - JPMorgan is launching a tokenized money-market fund called the OnChain Net Yield Fund (MONY), seeding it with $100 million of its own capital, and targeting qualified investors [11][12]. - The fund will utilize blockchain technology, with all transactions recorded on the Ethereum blockchain, and will be accessible through JPMorgan's Morgan Money platform [12]. International Business Machines Corporation (NYSE:IBM) - Dividend Yield as of December 16: 2.22% [14] - IBM has partnered with Pearson to develop AI-powered learning tools aimed at addressing skills gaps, which are costing the U.S. economy approximately $1.1 trillion annually [15][16]. - The partnership will leverage IBM's expertise to create a custom AI-driven learning platform and will roll out products across IBM's customer base [17][18]. Honeywell International Inc. (NASDAQ:HON) - Dividend Yield as of December 16: 2.41% [20] - Honeywell has received an Outperform rating from Evercore ISI, with a price target of $255, due to its favorable positioning in the multi-industrials space [20][21]. - The company has entered a multi-year strategic partnership with Hornets Sports & Entertainment to enhance safety and efficiency at their facilities using AI-driven technologies [22][24].