TIP 504: Opportunities in Energy, Metals and Mines w/ Will Thomson

Episode Summary

Executive Summary: Will Thompson argues that investing in miners and real-asset businesses is best done with probabilistic DCFs, scenario weighting, and tight portfolio construction. He favors project-based, mispriced assets in energy/materials over commodity-price bets, explains why uranium and much of the renewables supply chain have underperformed, and emphasizes risk assessment, management quality, and value-chain positioning over simple macro narratives.

Main Topics: Probabilistic valuation and scenario-based DCFs (Priority: 5/5): Thompson says the right way to value cyclical, project-driven businesses is to model multiple future scenarios, assign subjective probabilities, and sum the weighted outcomes rather than rely on a single discount rate or price assumption. Building the 'perfect portfolio' through position sizing (Priority: 5/5): After a 20% quarterly drawdown in 2018, he and his team formalized position sizing rules to limit behavioral mistakes, target returns, and define what a 'perfect' long or short position should look like. Why Thompson avoids pure commodity bets (Priority: 5/5): He prefers investments where the edge comes from operations, catalysts, contracts, or mispricing rather than from forecasting commodity prices, which he views as highly uncertain and opaque. Uranium's weak performance and opaque market structure (Priority: 4/5): He explains uranium's lackluster move as a result of investors effectively betting only on price appreciation, while juniors still haven't reached price levels that justify new production decisions. Energy transition bottlenecks and renewables economics (Priority: 5/5): Thompson believes climate science is sound but argues the favored solutions (wind, solar, EVs) create new bottlenecks in mining, processing, sequencing, and OEM profitability, creating both long and short opportunities. Mining risk assessment and field work (Priority: 4/5): He details the main risks in mining—permitting, funding, liquidity, geography, political risk, and operator quality—and says boots-on-the-ground visits are valuable mainly for understanding management and local execution realities. Portfolio examples and stock ideas (Priority: 3/5): He references specific holdings and examples such as Kazatomprom, AES, Lithium Americas, Alphamin, GraphTech, and Polaris Infrastructure to illustrate how his process works in practice.

Key Arguments: Scenario-weighted DCFs better capture the full 'strike zone' of possible outcomes than a single-point valuation or static discount rate. In mining, management gives investors a formal long-term plan, making the quantitative framework relatively straightforward; the hard part is judging execution, permitting, and financing risk. Position sizing should be based on a defined portfolio framework, not just conviction, because unmanaged concentration can magnify mistakes. Thompson prefers bets where the catalyst is operational de-risking or re-rating, not merely a commodity-price forecast. Uranium juniors underperformed because many were waiting for much higher prices before developing mines, leaving investors exposed to an uncertain timing bet. Wind, solar, and EV growth do not solve the whole emissions problem and depend on upstream mining and processing chains that are currently underbuilt and often uneconomic. Renewable OEMs often have thin or negative margins, implying that the value creation may lie more in selected operators or supply-chain bottlenecks than in broad thematic exposure. Mining valuation depends heavily on project stage: pre-production/development names offer de-risking upside, while producers often trade mostly with the commodity. Political, permitting, funding, and liquidity risks can matter more than geology for many mining investments, especially once a project has been technically validated. Passive ownership and market structure can matter as much as fundamentals in determining when a mispricing closes.

Data Points: Target long portfolio positions: 16 positions - Thompson said his firm moved to a 16-position long book after a 2018 drawdown. Target short portfolio positions: 16 positions - He described a 16-position short book as part of the same portfolio framework. Typical long position size: 6% starting allocation - He said long positions start at about 6% in the 'perfect portfolio' framework. Typical short position size: 3% starting allocation - He said short positions start at about 3%. Desired investor return: 12% net fee return - A target return he said the fund aims to deliver to investors. 2018 drawdown: About 20% in one quarter - He cited this as the catalyst for rethinking portfolio construction. Mining return hurdle: 100%+ over 3 years - He said a 6% mining position should offer at least this upside potential. Kazatomprom trade: Bought around 13, exited around 40 - He gave this as an example of a uranium investment that worked. Kazatomprom dividend: Started at 7-8% - He said the investment offered a healthy dividend while waiting for revaluation. Oil volatility vs copper: Oil is about 2x as volatile as copper - Used to explain why energy bets require more caution around commodity exposure. Renewables/OEM margins: Often ~4-5% or negative - He cited poor profitability among wind and solar equipment makers. Polaris Infrastructure project size: 10 MW to 300 MW - He described the scale of assets the company operates in South America. Lithium Americas transition: About 10 years to become a major - He referenced the long timeline for the company's growth projects. Copper mine timeline: 15 years to turn on a new mine - Used to illustrate how delayed mining supply can be relative to transition demand.

Pivotal Quotes: "The goal is not increased precision, it's more a value that captures the entire strike zone of possibilities as opposed to pinpointing a single point." — Will Thompson: Explaining why he uses probability-weighted DCF scenarios. "We don't want to make a bet where our edge has to be in the forecasting of the commodity price." — Will Thompson: Describing why Massive Capital avoids pure commodity-price speculation. "We believe in climate change. We believe the science is quite sound." — Will Thompson: Clarifying that his skepticism is about implementation, not the science.

Implications: Listeners should think in scenarios, not certainties, and separate commodity forecasting from operational edge. The energy transition will create bottlenecks, margin pressure, and selective winners across mining and processing, rewarding disciplined risk assessment and position sizing.