In this episode of Yet Another Value Podcast, host Andrew Walker welcomes back recurring guest Artem Fokin for a wide-ranging discussion on perfecting the craft of investing. Skipping individual stock pitches, they explore long-term process improvements, the role of AI in research, and how expert calls have changed their approach. Artem and Andrew debate the statistical validity of track records, the impact of conviction borrowing, and the future of market efficiency in an AI-driven world. Listeners will also hear how Artem's investment focus evolved over the past decade, and why understanding customer-level value is now at the core of his process.
See the follow on webinar on AI and expert calls here
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[00:00:00] Andrew introduces episode and Artem
[00:03:07] Perfecting the investing craft
[00:05:26] Bannister effect in investing
[00:06:45] Inspiration from investor track records
[00:10:40] Concentration and statistical significance
[00:16:45] Bitcoin investor vs. great allocator
[00:19:11] Betting on long-term outliers
[00:22:43] Power laws and convexity
[00:25:17] Will AI dumb down markets?
[00:32:37] Market becoming more consensus
[00:34:36] AI pricing medium-term alpha
[00:39:06] Democratizing research tools
[00:46:54] Early edge in illiquid stocks
[00:48:55] Artem’s biggest process change
[00:52:48] Can customer feedback mislead?
[00:56:09] Golf clubs and process analogy
[00:59:11] Avoiding groupthink and conviction leaks
[01:03:39] Know who’s pitching the idea
[01:06:25] IRR-driven sizing pitfalls
[01:10:38] Penalizing leverage in rankings
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