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:

  • Samit’s shift from day trading to value investing
  • What “value” means
  • Free cash flow
  • Qualitative analysis
  • 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 [email protected] 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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