LaunchTower Factor Model Research Report

Report date: 2026-09-14 · Data as of: 2026-09-11 (last close) · Universe: 81 US large/mid-cap equities

Disclaimer: This is independent research and data, not investment advice, a recommendation, or a promise of performance. Past factor performance does not guarantee future results. All figures are computed from public market data and are reproducible with the methodology below.

Methodology and Universe

LaunchTower has released its latest Factor Model Research Report, dated September 14, 2026, providing an analysis of factor performance for a curated universe of 81 U.S. large and mid-cap equities. The data underpinning this report was collected as of the market close on September 11, 2026. This independent research aims to offer reproducible insights derived solely from public market data, distinct from any investment advisory services.

The research methodology centers on a defined universe of companies. This universe comprises 81 liquid U.S. large and mid-cap stocks spread across key sectors including technology, semiconductors, financials, healthcare, industrials, consumer goods, and energy. The full list of constituents is available within the accompanying dataset, ensuring transparency and allowing for verification by interested parties. This broad sector coverage is designed to capture a representative sample of the U.S. equity market's performance drivers.

Data acquisition for the report involved a two-year historical window of daily adjusted close prices sourced from Yahoo Finance, specifically utilizing the yfinance library. This robust data foundation is crucial for accurate factor calculations. In addition to price data, fundamental financial metrics such as trailing Price-to-Earnings (P/E) ratios, market capitalization, Return on Assets (ROA), and beta coefficients were also obtained from Yahoo Finance's fundamentals feed. The combination of market and fundamental data allows for a comprehensive assessment of various investment factors.

Factor Performance Analysis

While the report does not detail specific factor performance figures in the provided excerpt, its core purpose is to analyze how different quantitative investment factors have performed within the specified universe. Factors are quantifiable characteristics that are believed to explain stock returns. Common factors include Value (e.g., low P/E, low Price-to-Book), Momentum (recent price performance), Quality (e.g., high ROA, low debt), Size (market capitalization), and Low Volatility. Investors and quantitative analysts use factor models to understand the drivers of portfolio returns, construct portfolios with desired risk-return profiles, and identify potential alpha sources.

The significance of such a report lies in its ability to provide a data-driven perspective on which investment styles or characteristics have been rewarded in the market. For instance, if the report indicated strong performance for Value factors, it would suggest that stocks with lower valuations relative to their fundamentals have outperformed. Conversely, strong Momentum factor performance would imply that recent outperformers continued to perform well. The 81-stock universe, being composed of large and mid-cap equities, represents a substantial portion of the U.S. stock market, making the findings relevant to a wide range of investors.

The inclusion of a disclaimer is a critical component, reinforcing that this research is for informational purposes only and should not be construed as financial advice. Factor performance is historical and inherently variable. Market conditions, economic cycles, and shifts in investor sentiment can significantly impact the efficacy of any given factor. Therefore, while the report provides valuable data, it is up to the end-user to interpret these findings within their own investment strategy and risk tolerance. The reproducibility of the methodology is a key tenet, allowing for scrutiny and independent validation of LaunchTower's findings.

Implications for Quantitative Investors

For quantitative investors, hedge funds, and asset managers who rely on systematic strategies, reports like this are essential tools. They serve as a benchmark against which proprietary models can be compared and validated. Understanding factor performance trends can inform portfolio construction, asset allocation decisions, and risk management. For example, if a factor that has historically been a strong diversifier begins to show high correlation with other factors or declining performance, it might signal a need to re-evaluate its inclusion in a portfolio.

The focus on U.S. large and mid-cap equities means the findings have direct relevance for portfolios heavily invested in these segments of the market. The selection of specific sectors also provides granular insights. For instance, if technology and semiconductor stocks showed distinct factor performance patterns compared to financials or energy, it could highlight sector-specific opportunities or risks related to factor exposures. This level of detail allows for more nuanced strategy development.

The report's emphasis on reproducible methodology is particularly important in the quantitative finance space. It allows other researchers and practitioners to replicate the analysis, fostering trust and enabling collaboration or constructive debate. In an era where data integrity and model transparency are paramount, such adherence to scientific principles is highly valued. LaunchTower's commitment to providing a clear methodology and accessible data empowers the community to build upon their research.

Broader Market Context

The release of this factor model report coincides with ongoing discussions about market dynamics and the effectiveness of different investment approaches. In recent years, quantitative and factor-based investing have become increasingly sophisticated, moving beyond simple strategies to more complex multi-factor models and machine learning-driven approaches. Reports like LaunchTower's contribute to the broader understanding of how these quantitative factors operate within the current market environment.

The choice of 81 large/mid-cap U.S. equities is significant. This segment of the market is often seen as a bellwether, and its performance characteristics can have ripple effects across the broader economy. Analyzing factor performance here can offer clues about investor behavior, risk appetite, and the underlying economic forces at play. For instance, a sustained outperformance of growth-oriented factors over value factors might signal a market environment favoring innovation and future earnings potential, while the opposite could indicate a preference for more established, fundamentally sound companies.

Ultimately, the LaunchTower Factor Model Report serves as a valuable data point for market participants seeking to understand the quantitative drivers of equity returns. By providing a transparent methodology and a clearly defined universe, it enables a deeper, more informed analysis of factor performance in the U.S. large and mid-cap equity space. The insights derived can help investors refine their strategies, manage risk more effectively, and potentially uncover new opportunities in a complex and ever-evolving market landscape.