The Hidden Goldmine of Stock Spinoffs with Rich Howe
The Investing for Beginners Podcast - Your Path to Financial Freedom
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When a massive company splits and spins off a smaller business, the market often completely ignores it. But what happens when that ignored, newly spun-off company is actually a hidden goldmine?
Today, Andrew sits down with Rich Howe from Stock Spinoff Investing to break down one of the most overlooked, yet profitable, corners of the stock market. We discuss exactly what a stock spinoff is, why parent companies decide to do them, and the weird "forced selling" dynamic that often causes these new stocks to trade at a massive discount right out of the gate.
Key Topics:
- What exactly is a stock spin-off and why do companies do them?
- The "Index Fund Effect" and why forced selling creates artificial discounts.
- How to analyze the management team and debt of a newly spun-off company.
- The changing landscape of the investing industry and building direct relationships with subscribers.
Timestamps:
00:00 - Introduction and welcoming Rich Howe to the show. 01:00 - What exactly is a stock spinoff and why do companies do them? 06:44 - How Rich got started with spinoffs and Joel Greenblatt's book "You Can Be a Stock Market Genius". 12:49 - Concentrated vs. diversified portfolios, position sizing, and sleeping well at night. 16:37 - How to research spinoffs using the Form 10 information statement. 19:30 - Prompting ChatGPT to help analyze business models, comparable companies, and risks. 28:22 - Serial acquirers, spinoff machines, and analyzing the Danaher and IAC examples. 32:09 - Where to find Rich's free calendar, blog, and premium newsletter.
Resources Mentioned
The Value Spotlight Newsletter: https://einvestingforbeginners.com/value-spotlight-newsletter/
Stock Spinoff Investing Newsletter: https://stockspinoffinvesting.com/
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Remember, invest with a margin of safety—emphasis on the safety. Have a great week, and we’ll talk to you next time.
Timestamps are generated by artificial intelligence, and are not 100% accurate depending on the platform used for listening.
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