Introduction
The paper by Sebastian Müller, Professor of Finance at the TUM School of Management at TUM Campus Heilbronn, in collaboration with Jun.-Prof. Dr. Katharina Drechsler, University of Cologne, and Prof. Dr. Heinz-Theo Wagner, Neu-Ulm University of Applied Sciences, examines whether digital innovation has created a new systematic risk not yet addressed by traditional asset pricing models. The authors develop a text-based measure called Digital Orientation (DO) from the MD&A sections of U.S. firms' 10-K reports (1996–2020). Digital Orientation shows firms’ past and intended engagement with digital innovation across four technology layers: device, network, service, and content. The study examines whether firms with high DO (digital leaders) systematically differ from digital laggards and whether portfolios based on DO generate excess returns unexplained by known risk factors.
Initial Situation
Digital transformation blurs traditional industry boundaries, reshapes business models, and forces organizations to compete and innovate across sectors. Existing measures of innovation—such as R&D expenditures or patents—cannot fully capture digital innovation, which is often embedded in organizational processes, services, or digital infrastructures rather than physical products.
Prior research has used textual analysis in finance, yet no robust measure has captured firms’ exposure to digital innovation as a cross-industry phenomenon. The authors therefore argue that digitalization may represent a fundamental, economy-wide source of risk, demanding an asset pricing investigation. Financial markets might undervalue or misprice digital innovation if traditional classifications fail to capture its converging dynamics.
Findings
The study delivers several key findings:
1. Digital leaders have distinct firm characteristics
Firms in the highest DO quintile exhibit:
These differences remain visible even after controlling for characteristics, size, age, S&P 500 index, Nasdaq listing, or analyst coverage.
2. DO is not well explained by classical firm fundamentals
Regression models show extremely low explanatory power—DO is largely independent from standard firm characteristics, underscoring its distinctiveness. Even with industry controls, only 22% of the variation is explained, confirming that DO reveals unique information not captured by traditional metrics.
3. DO predicts inclusion in innovation-focused funds
Firms with high DO are more likely to be included in professional innovation portfolios, outperforming traditional variables such as size, R&D spending, or analyst coverage.
4. Digital leaders earn a positive and significant risk-adjusted return premium
A long–short portfolio based on digital orientation earns statistically and economically significant positive monthly alphas under standard asset pricing models. The estimated alphas are on the order of several tenths of a percent per month and remain robust across weighting schemes, factor controls, sample restrictions, and alternative constructions of digital orientation.
5. Evidence suggests DO represents a priced systematic risk factor
The evidence suggests that exposure to digital innovation captures a previously unexplored systematic risk dimension that is priced in the cross-section of stock returns.
Potential Implications
Conclusion
The study shows that firms’ engagement with digital innovation significantly explains differences in stock returns not captured by traditional characteristics. The text-based digital orientation measure demonstrates that digitalization has meaningful effects on stock valuation. A trading strategy based on digital orientation displays strong explanatory power, highlighting this as an important risk dimension and offering opportunities for investors focused on digital innovation.
Read the full paper here: The “digital” premium: Why does digitalization drive stock returns?
