The “Capital Markets Day 26” at the Frankfurt School of Finance & Management provides a comprehensive and highly structured view of a capital market ecosystem undergoing profound transformation. Across macroeconomic analysis, pension reform, market infrastructure, and digital innovation, a clear narrative emerges: capital markets are no longer primarily shaped by efficiency and globalization, but increasingly by geopolitics, regulation, technological sovereignty, and structural shifts in how capital is allocated and managed. Within this evolving landscape, the role and relevance of credit ratings are also being fundamentally redefined.
The conference opens with a strong macroeconomic framing, particularly through the keynote by Thorben Lüthge of DekaBank, who describes a paradigm shift from classical economic theory toward geo-economics and power politics. Referring to David Ricardo and the principle of comparative advantage, Lüthge argues that the foundations of global capital allocation are eroding. Trade, capital flows, and investment decisions are increasingly influenced by strategic interests rather than pure economic efficiency. In such an environment, traditional credit assessment frameworks—historically built on assumptions of stable macroeconomic relationships and efficient markets—face growing limitations. Sovereign risk, for instance, can no longer be understood without incorporating geopolitical dependencies, fiscal expansion, and demographic pressures.
This is particularly evident in the discussions around European interest rate and credit markets, where rising debt levels, aging populations, and stagflation concerns create a structurally different risk environment. Credit ratings, which traditionally rely on backward-looking financial metrics and relatively stable macro assumptions, must adapt to a world where volatility, policy intervention, and structural uncertainty are becoming the norm. The implication is clear: ratings need to become more dynamic, forward-looking, and capable of integrating non-traditional risk drivers.
A second major theme of the conference is the transformation of pension systems, highlighted in the keynote by Martin Weirich of PwC Deutschland. The European “Savings and Investments Union” aims to mobilize vast pools of currently underutilized household savings and channel them into capital markets. National reforms such as “Riester 2.0” and pan-European initiatives like the Pan-European Personal Pension Product are designed to make retirement systems more market-based and scalable. This shift has direct implications for credit markets: as retail capital increasingly flows into bonds, credit funds, and structured products, the demand for transparent, comparable, and trustworthy credit assessments grows significantly.
At the same time, Weirich highlights structural gaps in Europe, such as the lack of auto-enrolment mechanisms, fragmented user experience, and limited standardization. These shortcomings not only hinder capital market participation but also complicate the transmission of credit information to end investors. In a more retail-driven capital market, credit ratings must become more accessible, explainable, and integrated into digital investment journeys, rather than remaining tools primarily for institutional users.
The transformation of the Dutch pension system, presented by Maureen Schlejen of Achmea Investment Management, provides a concrete example of how deeply these changes can affect investment management and credit risk perception. The shift from Defined Benefit (DB) to Defined Contribution (DC) systems—where outcomes depend on contributions and market returns—fundamentally alters the role of credit risk. Under the new system (Wtp, “Wet toekomst pensioenen”), individuals are directly exposed to market performance, and pension outcomes become more transparent but also more volatile.
This transparency extends to credit exposure: participants can increasingly see how their pension wealth is affected by bond performance, interest rate movements, and credit spreads. As a result, credit ratings are no longer abstract indicators used by institutional portfolio managers; they become part of the visible risk-return profile experienced by individuals. This increases the need for clarity, timeliness, and consistency in rating methodologies. Moreover, the shift from liability-driven investing to lifecycle-driven strategies changes how interest rate risk and credit risk interact, further challenging traditional rating frameworks.
The afternoon sessions on market infrastructure and digital assets introduce another layer of disruption. Steve Henning emphasizes that the success of tokenized assets and stablecoins depends not on technology alone but on distribution. Despite significant progress in regulation through frameworks like MiCAR (Markets in Crypto-Assets Regulation), Europe lags far behind in adoption, particularly in stablecoins. The key bottleneck is the lack of integration into existing financial systems—what Henning describes as missing “rails, flow, and reach.”
For credit ratings, this raises a fundamental question: how can creditworthiness be assessed and communicated in a tokenized, real-time, and highly distributed market environment? If assets are issued, traded, and settled on blockchain-based infrastructures, ratings must be embedded directly into these systems, potentially in machine-readable and continuously updated formats. Static, periodic rating updates may no longer be sufficient in markets that operate 24/7 with instant settlement.
This technological shift is further reinforced in the presentation by Dr. Ulli Spankowski, Chief Digital Officer, Boerse Stuttgart Group, who outlines how blockchain and artificial intelligence are reshaping capital market infrastructure. Current systems, characterized by multiple intermediaries and manual processes, are costly and inefficient. Future infrastructures—such as Seturion—aim to enable real-time settlement, reduce intermediaries, and increase transparency. In such an environment, every transaction becomes traceable, and data availability increases dramatically.
For credit ratings, this creates both opportunities and challenges. On the one hand, richer and more granular data can improve risk assessment and enable more precise, real-time ratings. On the other hand, increased transparency and direct investor access to data may reduce reliance on traditional rating agencies as intermediaries of information. Artificial intelligence, including large language models like ChatGPT, can further automate credit analysis, generate insights, and personalize risk assessments, potentially democratizing access to credit intelligence.
The broader trend toward decentralized finance (DeFi), with rapidly growing markets for lending, borrowing, and staking, adds another dimension. In these systems, credit risk is often managed through algorithmic mechanisms, collateralization, and smart contracts rather than traditional ratings. As these models evolve, they may complement or even compete with established rating methodologies, particularly in digital asset markets.
Ultimately, the conference highlights that the future of capital markets will be defined by the interplay of macroeconomic shifts, regulatory initiatives, and technological innovation. Credit ratings, as a cornerstone of capital market functioning, must evolve accordingly. They need to become more dynamic, data-driven, and integrated into digital infrastructures, while also addressing new forms of risk arising from geopolitics, system complexity, and technological transformation.
The central message is that capital markets are entering a phase where transparency, speed, and accessibility increase dramatically, but so do complexity and uncertainty. In this environment, the ability to assess and communicate credit risk remains essential—but the tools, processes, and institutions that provide this function are likely to change as fundamentally as the markets themselves.
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