Tandem’s Perspective*

Investing and speculation often appear interchangeable in everyday market discussions, yet they represent fundamentally different mindsets, behaviors, and objectives. At their core, the two activities diverge on time horizon, underlying philosophy, and the role of the business itself in shaping returns. Understanding the distinction is increasingly important at a time when market structure has evolved to favor rapid trading, leveraged products, and instruments that reward short-term prediction rather than long-term ownership.

Investing begins with a simple premise, which is to commit capital to a business with the expectation that the business will thrive, grow, and generate value over time. The returns an investor seeks, whether it be capital appreciation, income, or both, flow primarily from the underlying economic engine of the company. Price is not the driver of return, but rather the business is. When the business compounds earnings year after year, and when capital is preserved through disciplined selection and reasonable valuations, the shareholder participates in that compounding through rising intrinsic value over time.

Speculation involves a distinctly different approach. The speculator buys shares not to own a growing enterprise, but to sell them at a higher price to someone else. The primary focus is on the movement of the stock itself, often with little or no attention paid to the fundamentals of the business. A stock becomes less a claim on future cash flows and more a trading instrument whose value depends on predicting what other market participants will do.

The rise of new market structures has only widened the gap between these two philosophies. The expansion of leveraged and inverse ETFs gives traders the ability to amplify intraday market swings with little intention of holding assets for more than a few hours. Zero-days-to-expiration (0DTE) options have surged in popularity, which allows market participants to make highly leveraged bets on same-day market direction. Thus, turning parts of the equity market into a de facto casino. Meanwhile, emerging platforms for event-driven prediction markets invite participants to wager on discrete outcomes, further blurring the lines between financial markets and outright gambling.

None of these tools are inherently problematic, except for the fact that they are structurally aligned with speculation and not investing. The growth of these products reflects the increasing appeal of fast outcomes, binary payoffs, and the thrill of being right about the next move in the market rather than the next decade of a company’s growth. Investing is rooted in ownership, patience, and analysis. Speculation is rooted in price, timing, and probability. Both can exist, but they serve very different ends. For individuals seeking consistency in durable, long-term wealth creation, understanding this distinction is essential.

Individuals well versed in Tandem’s philosophy and process understand what truly guides us. It boils down to consistent growth in revenues, earnings, and cash flows. And because of this consistent fundamental growth, if the company pays a dividend, it must grow that too. Our clients invest in businesses with the expectation that those businesses will thrive and grow. As long as the business consistently grows, over the long-term the stock price should reflect that fundamental growth. Nowhere in our process are we seeking to purchase shares and hoping to sell them later at a higher price without regard to the operations of the business. In that world, there is no way we could ever deliver on our goal of seeking to produce a consistent and repeatable investment experience.

Financial Markets Review

U.S. equities delivered a mixed performance in November, defined more by sharp intramonth reversals and shifting macro narratives than by index-level returns. The S&P 500 marked its seventh consecutive monthly gain, managing to inch higher by 0.13%. The Russell 2000 rose 0.85%, while the Nasdaq fell 1.5%, snapping its own seven-month winning streak. Beneath the surface, leadership began to rotate. The equal-weight S&P 500 outperformed the cap-weighted S&P 500 by roughly 180 basis points, advancing nearly 2%. And the S&P 500 Low Volatility index closed the month higher by 3.61% versus a 1.66% decline for the S&P 500 High Beta index. Financial markets were fraught with volatility as the S&P endured a 4.5% drawdown by mid-month, only to find its footing into month-end.

The backdrop for these swings was a confluence of intensifying scrutiny of AI-related spending, a pronounced unwind in several of the market’s most crowded thematic trades and shifting monetary policy expectations. The technology sector’s 4.4% decline was emblematic of the month’s strains and signaled a break from the hyper-concentrated trade that has dominated much of 2025. Oracle fell more than 23% amid mounting concerns over AI-linked debt financing, with its credit default swaps widening to levels last seen in 2009. Nvidia tumbled 12.6%, Tesla dropped 5.8%, and Microsoft slipped 5%. Amazon traded down 4.5%, while Meta barely finished flat. And as competition heats up amongst the Large Language Model (LLM) creators, enthusiasm surrounding Alphabet’s Gemini 3 launch and their ability to use their own chips rather than Nvidia’s ended up being a springboard for Alphabet’s shares, climbing 13.9%. As it so happens, maybe not every company caught up in the AI theme will be an eventual winner.

November’s volatility was also set off by hawkish commentary early in the month from several Fed officials, along with FOMC minutes that signaled “many” policymakers saw rates as likely to remain unchanged through year-end. Coupled with Fed Chair Powell’s remarks at the last meeting that a rate cut was “far from a foregone conclusion,” financial conditions began to tighten a little bit. The turning point for markets came in the final week of November. New York Fed President John Williams offered unexpectedly dovish remarks on November 21, countering the cautious tone dominating earlier in the month. Rate-cut odds for December, which had fallen below 30% just days earlier and then surged above 80% by month-end was all that was needed to fuel a broad-based equity rebound.

Even with the snapback in equities, November was shaped by the mounting risks in financial markets and in the economy. AI scrutiny intensified with growing questions around the sustainability of trillion-dollar spend commitments, the increasing use of complex financing arrangements, and uncertainties around long-term ROI. Given the outsized concentration and reliance on the AI theme, any uncertainty has the potential to upend the bull market in the S&P 500 and Nasdaq. However, as witnessed in November, this may also present an opportunity in other areas of the equity market, such as the low volatility space.

The macro environment continued to remain mixed with the consumer being the biggest question mark. The Conference Board’s confidence index fell to its second-lowest level in five years amid tariff concerns and affordability pressures. In addition, there was a significant amount of corporate commentary that underscored the bifurcation amongst income levels. Procter & Gamble cited sharply lower category growth tied partly to the government shutdown and SNAP disruptions. Walmart noted widening wage disparities and consumers increasingly prioritizing essentials over discretionary purchases, while Mastercard emphasized that hard spending data remains solid, supported by wage growth outpacing inflation.

The bifurcation amongst business size was also a theme in November, as small businesses showed growing signs of strain as well. ADP payroll data revealed that firms with fewer than 50 employees shed 120,000 jobs in November, which was the largest decline since the pandemic’s onset. At the same time, medium and large firms continued modest hiring. Meanwhile, bankruptcies under Subchapter V, which was a special Federal program implemented in 2020 for small businesses to shed debt without going through the typical lengthy reorganization process, reached their highest level since the program began.



Source: Bloomberg

*The transition level activity taken by Tandem is applicable to new manager-traded accounts and new money in manager-traded accounts, not the composite or firm-wide level. New manager-traded accounts and new money in manager-traded accounts are not automatically invested on the first day. Rather, they are transitioned into our strategy over a longer time period that is dependent upon market conditions, this process differs from Tandem’s model-provided strategies, where money is invested on the day the account opens. Strategy level activity is applicable to the composite and action is taken at the firm-wide level.

Source: Source of all data is FactSet, unless otherwise noted.

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Disclaimer: Tandem Investment Advisors, Inc. is an SEC registered investment advisor.

This audio/writing is for informational purposes only and shall not constitute or be considered financial, tax or investment advice, or an offer to sell, or a solicitation of an offer to buy any product, service, or security. Tandem Investment Advisors, Inc. does not represent that the securities, products, or services discussed in this writing are suitable for any particular investor. Indices are unmanaged and not available for direct investment. Please consult your financial advisor before making any investment decisions. Past performance is no guarantee of future results. All past portfolio purchases and sales are available upon request.

All performance figures, data points, charts and graphs contained in this report are derived from publicly available sources believed to be reliable. Tandem makes no representation as to the accuracy of these numbers, nor should they be construed as any representation of past or future performance.​

This document was originally written/recorded in English. Tandem does not guarantee the accuracy, completeness, or reliability of any translated materials, and shall not be held responsible for any discrepancies, errors, or misinterpretations arising from the translation process.