Inflation Protection
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Inflation Protection Model Portfolio

Monthly Portfolio Review: January 2025

Publication date: February 3, 2025

Current portfolio holdings

FOR SUBSCRIBER USE ONLY. DO NOT FORWARD OR SHARE.

Executive summary

  • The Inflation Protection portfolio generated a total return of 3.0% in January, slightly ahead of the S&P 500, which returned 2.8%.

  • Falling long-term interest rates helped share prices recover towards the end of the month and benefited cyclical stocks.

  • Tech shares experienced volatility in January as China’s DeepSeek dampened sentiment towards the AI theme, just after Trump’s big infrastructure announcement.

  • We continue to have a positive long-term view of the AI opportunity and share our current thinking on the implications of DeepSeek.  

  • Gold, up 7% in January, is off to a strong start for the year, and the portfolio’s gold-related investments performed well.

  • Streaming plays Franco-Nevada (FNV) and Wheaton Precious Metals (WPM) were up 16% and 11%, respectively.

  • Current trade war dynamics may benefit gold and other inflation sensitive assets in multiple ways.

Performance review

The Inflation Protection portfolio delivered a total return of 3.0% in January, versus a total return of 2.8% for the S&P 500 Index. For the six months ending January 31, 2025, the portfolio generated a total return of 1.6%, versus 10.1% for the S&P 500.


The portfolio’s top performing stocks in January were Franco-Nevada (FNV), which returned 16%; Wheaton Precious Metals (WPM), which returned 11%; and Visa (V), which returned 8%.


The worst performing stocks in the portfolio were Brown-Forman (BF.B), which returned -13%, and Freeport-McMoRan (FCX), which returned -6%. All other portfolio positions delivered positive returns.

Rate-driven recovery


As we noted in last month’s review, optimism in the wake of Trump’s victory gave way to concerns over rising interest rates. December was a difficult month for most stocks as long-term interest rates crept up.


Concerns around interest rates persisted through the first two weeks of the new year. The yield on the 10-year Treasury, which was approximately 4.2% at the start of December, reached a high of approximately 4.8% in mid-January.


The peak in bond yields more or less coincided with the S&P 500 Index, as well as the S&P 500 Equal Weight Index, reaching their lowest levels since Election Day.

Total Return (last 3 months) -

S&P 500 and S&P 500 Equal Weighted

Relief came in the form of the Consumer Price Index (CPI) report, which was released by the Bureau of Labor Statistics on January 15, 2025. Yields fell and stocks rallied as core inflation readings came in lighter than expected.  


By the end of January, yields on the 10-year Treasury were approaching 4.5%.


While investors fretted over rising interest rates in December and the first half of January, once long-term yields started to decline after the mid-month CPI report, market sentiment shifted back towards the themes of growth, innovation and optimism which fueled the November rally.


A busy month for AI


Shortly after Trump’s inauguration, he announced a blockbuster deal in the tech space. The $500 billion Stargate announcement, while light on specifics, signaled a strong commitment by the administration to the Artificial Intelligence (AI) build-out.


Most tech stocks, along with stocks in other sectors that are linked to the AI theme, rallied in the wake of this news. The renewed enthusiasm around AI would only last a few days, however.


Stargate was announced on Tuesday, January 21. By Sunday evening, January 26, a small Chinese AI start-up named DeepSeek became the main topic on every investor’s mind.


DeepSeek offers an AI model similar to OpenAI’s ChatGPT. Like ChatGPT, it can be downloaded as an app onto your phone (given data privacy concerns, we would not necessarily recommend this).


DeepSeek quickly shot to the top of the charts on the Apple app store. Meanwhile, media attention was directed towards a December 2024 technical paper which claimed that DeepSeek was created for a fraction of the cost of other AI models.


As we previously noted, the timing around the DeepSeek hysteria was curious, almost as if the press attention was intended to pour cold water on Trump’s bold initiative to cement U.S. technological dominance in AI.


On Monday, January 27, AI-related stocks tanked, including NVIDIA (NVDA). Just after the Stargate announcement, NVDA was trading very close to its all-time highest levels. NVDA ultimately traded down approximately 16% last week.


Thanks to the DeepSeek news flow, the market pivoted from conviction that an enormous investment boom was underway to create a vast infrastructure of AI data centers to something of a panic that all of this capital spending is pointless.


A broader market rally


As DeepSeek took over the news cycle, many AI-linked stocks were put under pressure. But with more optimism on the inflation outlook and interest rates coming down, we saw a rotation of capital into other areas of the market.


The Technology sector, dragged down by NVDA and other AI plays, ended up being the worst performing sector in the S&P 500 in January, although the damage was relatively mild (down 1%).

Source: FactSet

Investors sold AI-related stocks and moved money into other growth areas that were not necessarily reliant on AI capital spending. Health care in particular performed well and delivered a 7% total return in January.


Cyclical sectors, like Industrials and Materials, which are especially sensitive to the interest rate trajectory, also performed well in January, reversing much of their dismal performance in December.


Positive momentum on the interest rate front was reinforced by the Federal Reserve meeting on January 29. The Fed’s statement, along with Fed Chair Jerome Powell’s press conference performance, painted a relatively benign picture of the economic outlook.


The Fed kept interest rates flat at the meeting. Powell described an economy that appeared healthy from a growth and employment perspective as inflation rates continue to moderate.


Our latest thinking on DeepSeek


The investment world spent much of the last week of January conducting a fire drill on DeepSeek and trying to understand the full implications. Over the course of the week, many important variables came to light.


We continue to have an optimistic long-term view of AI as an investment theme for stock market investors. There are four aspects to the DeepSeek story that should ease investor concerns over the potential negative impact.  


(1) DeepSeek likely required much more money than initially assumed.


Initial reports on DeepSeek, based upon the December technical report, led investors to believe the Chinese had accomplished for a mere $6 million what their counterparts in the U.S. needed hundreds of millions if not billions to achieve.


As industry experts focused on the details of the DeepSeek business model, a consensus has emerged that a proper accounting of all the resources that went into DeepSeek would lead to a significantly higher figure than $6 million.


DeepSeek may have been created for meaningfully less than other AI models, suggesting the Chinese have perhaps discovered valuable process innovations or are leveraging lower human capital costs. But the gap between DeepSeek and U.S. peers is likely not as extreme as initially feared.


(2) DeepSeek copied ChatGPT.


It has also come to light that DeepSeek leaned heavily on the intellectual property of ChatGPT as it trained itself. As White House Crypto/AI Czar David Sacks explained in a recent interview, DeepSeek may have had millions of interactions with the ChatGPT model (which were possibly in violation of OpenAI’s intellectual property rights).


Sacks noted that DeepSeek was so thoroughly influenced by ChatGPT that users of the DeepSeek program observed that it even self-identified as ChatGPT at times.


(3) The bulk of the multi-billion dollar AI build-out is not for training but inference.


DeepSeek was allegedly able to develop an AI training model relatively inexpensively, but the next chapter of AI relates more to inference.


Training refers to the process of the computer network learning how to answer questions and create graphical content. Inference refers to the process of actually answering these questions and delivering this content.

Major misunderstanding about AI infrastructure investments: Much of those billions are going into infrastructure for *inference*, not training. Running AI assistant services for billions of people requires a lot of compute. Once you put video understanding, reasoning, large-scale memory, and other capabilities in AI systems, inference costs are going to increase. - Yann LeCun, Chief AI Scientist at Meta (1/28/2025)

The planned investment of hundreds of billions of dollars into AI data centers is all about mass market delivery of AI services, which remains very resource-intensive.

(4) Cheaper AI means more AI.


There is another possible misinterpretation of the DeepSeek story. Investors sold AI stocks based on the assumption that getting greater productivity out of hardware like NVIDIA Graphic Processing Units (GPUs) is a negative signal for AI capital spending.


We are in the early stages of the AI revolution, but if it follows the patterns of other technology roll-outs, like the Internet and mobile phones, the costs associated with delivering this technology should continuously decline. And declining costs should incentivize greater usage, creating even more demand.  


Investors should therefore continue to expect technological advancements that generate more artificial intelligence at lower cost. With no apparent ceiling on the AI services that business and consumers will ultimately want to have, declining costs may actually spur more investment in AI, rather than less.


Diversification still makes sense


Artificial intelligence remains a powerful force within the economy, but the DeepSeek shock demonstrates that even growth-oriented investors should not be singularly focused on any particular trend. Investors who had exposure to other growth areas were rewarded in January.


Further underscoring the need for diversification, as we write, market focus is shifting towards Trump’s recently announced tariffs on imports from Mexico and Canada.


The implementation of these tariffs led to some pressure on markets at the end of the day on Friday. We plan to provide further color on this subject as trading resumes this week.

Portfolio highlights

The top performing positions in the Inflation Protection portfolio in January were Franco-Nevada (FNV), which returned 16%; Wheaton Precious Metals (WPM), which returned 11%; and Visa (V), which returned 8%.


The worst performing stocks in the portfolio were Brown-Forman (BF.B), which declined 13%, and Freeport-McMoRan (FCX), which declined 6%. All other positions within the portfolio delivered positive returns.

Tailwinds for gold


As precious metal streaming plays, FNV and WPM responded positively to upward momentum in the gold price at the start of the year. The same can be said for Royal Gold (RGLD), which advanced 6%.


In the first month of 2025, the price of gold advanced approximately 7% and reached an all-time high just below $2,800 per ounce. As we have previously discussed, the streaming companies generally track movements in the gold price (and over long periods of time tend to outperform the return on gold).


Gold is off to a strong start with a number of favorable developments. Trump’s decision to move aggressively with tariffs creates geopolitical uncertainty, which favors gold as a safe haven.


Tariffs also have a tendency to result in easier monetary policy, which favors the gold price.


To absorb the negative impact of high tariffs on products imported into the United States, other nations may pursue monetary policies that lead to lower foreign exchanges rates, which would make their goods more price competitive.


As nations around the world effectively debase their currencies through money supply growth (or money printing), the price of gold, which is really a composite of all international fiat currencies, tends to rise. The recent upward movement in the gold price may in part reflect anticipation of this dynamic.


We have also seen reports of thinning gold inventories in London and concerns that Trump may extend tariffs to gold imports into the U.S. This is apparently prompting the relocation of gold bars to New York vaults and possibly creating supply shortages.


China is key


China remains an enormous player in the gold market.


The Bank of China has been consistently adding to its gold reserves (along with other emerging market central banks, including India) since the Biden administration essentially weaponized U.S. Treasuries after Russia invaded Ukraine by seizing Russian assets.


This has sparked a wholesale reconsideration of U.S. Treasuries as a reserve asset and inspired a new appreciation for gold as a non-sovereign reserve asset that is not vulnerable to financial sanctions.


In recent years, China has been selling Treasuries and buying gold primarily for this reason.


But with the Chinese economy now generating dismal growth—and exports further threatened by Trump tariff policies, gold purchases take on additional importance. They become a mechanism for China to devalue its own currency (by printing their own currency to buy gold) and stimulate its domestic economy.


Gold has also been a beneficiary of the Fed’s pivot towards rate cutting. Although the Fed has paused at the moment and appears to be taking a wait and see approach, the current downward trajectory in U.S. interest rates is favorable for gold investors.


Escalating trade wars with the U.S. could also trigger recessions in affected countries. This could lead to even more aggressive monetary policies and possibly the emergence of systemic financial risk, both of which are good for gold investors.


More progress for Visa


Last month, we highlighted the attributes of V as both an inflation protection play and a structural growth investment.


V shares performed well again this month, with the company delivering impressive quarterly results and guiding towards low-teens earnings growth for the full year.


We also note with great interest V’s announcement that it is partnering with Elon Musk’s X platform.


The “X Money Account” is expected to launch later this year and will utilize Visa Direct, its cross-border payments rail, to facilitate money transfers.


The partnership with X reinforces our confidence in V as a fintech innovator and its ability to leverage its vast payments network to prevail in the cryptocurrency arena as well.


Shares of BF.B declined as a result of weak spirits demand combined with investors pricing in tariff retaliation risk. The company is embarking on a cost cutting initiative and now has an undemanding valuation.


As an AI electrification theme play, copper miner FCX shares participated in the DeepSeek sell-off. We continue to have a long-term favorable view on the copper supply/demand dynamic.


While inflation is now moderating as a result of an extended period of tighter monetary policy, the brewing global trade war may lead to the adoption of easier monetary policies by central banks around the world. Inflation sensitive assets tend to benefit from this type of scenario.

Key metrics

Valuation detail

Performance detail

Company snapshots

Brown-Forman (BF.B)

Costco Wholesale (COST)

Freeport-McMoRan (FCX)

Permian Resources (PR)

TransDigm Group (TDG)

Visa (V)

Vulcan Materials (VMC)

Diamondback Energy (FANG)

Floor & Decor Holdings (FND)

Franco-Nevada (FNV)

Royal Gold (RGLD)

WESCO International (WCC)

Wheaton Precious Metals (WPM)

The 76research Inflation Protection Model Portfolio emphasizes business models that are expected to perform well on a relative basis in periods of elevated inflation. Holdings are typically selected from industries based on supply constrained real assets, including commodity and energy businesses, or companies that otherwise demonstrate superior pricing power. Drawing from an investable universe of expected inflation beneficiaries, specific holdings are chosen based on valuation and general business quality, growth and risk considerations. 

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