
The Investing for Beginners Podcast - Your Path to Financial Freedom Finding Value Stocks that 3X w/ Samit Umatiya from UIG Funds
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In this episode, Andrew sits down with Samit Umatiya, Managing Partner at UIG, to talk about how he went from day trading to running a value-oriented investment fund.
They dig into what “value” actually means in practice, how Samit thinks about free cash flow, and why qualitative factors like management alignment matter just as much as the numbers. The conversation also covers biases like sunk cost fallacy, how to fight FOMO, and what Samit looks for when deciding whether a stock is truly worth buying.
Key Topics Covered:
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Samit’s shift from day trading to value investing
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What “value” means
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Free cash flow
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Qualitative analysis
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Biases and discipline: sunk cost fallacy, FOMO, conviction, and buying right
Timestamps:
01:21 – How Samit got started
04:06 – “Less activity, better returns”: compounding and long-term mindset shift
05:00 – What “value” means (subjective)
11:16 – Avoiding Wall Street noise
13:09 – VEON thesis
15:37 – Valuation = quantitative + qualitative
18:32 – How to start reading statements
20:04 – Management alignment: track record, equity ownership, background, incentives
24:02 – Sunk cost fallacy
33:01 – Why under $2B market cap can be a sweet spot
34:31 – Why he avoids MAG7/AI hype
39:07 – Fighting FOMO
42:22 – Is WSJ/Bloomberg worth it? Quality journalism as an investment
45:39 – “If it isn’t really obvious, don’t buy it”
46:58 – Buy point matters most; sell can be imperfect if you bought right
Resources Mentioned:
The Value Spotlight Newsletter: https://einvestingforbeginners.com/value-spotlight-newsletter/
Follow Samit Umatiya on LinkedIn: linkedin.com/in/samitumatiya
UIG (Umatiya Investment Group)
https://www.linkedin.com/company/uig-funds/
Have questions or want your story featured? Email the show at newsletter@einvestingforbeginners.com or comment below. Your feedback shapes the podcast!
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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