CHALLENGE
Why classical risk management is reaching its limits
Unternehmen stehen heute vor dynamischen, vernetzten Risks. Klassische Risk matrices als Steuerungsgrundlage reichen nicht mehr aus – moderne Simulationen verändern die Steuerung grundlegend.
Risk management hat sich in den letzten Jahren stark verändert. Globale Lieferketten, Cyberrisiken, regulatorische Anforderungen und KI-getriebene Geschäftsmodelle erzeugen eine Komplexität, die mit traditionellen Methoden kaum beherrschbar ist. Viele Unternehmen arbeiten noch immer mit statischen Risk matrices – doch diese bilden die Realität nicht mehr ab.
Die Abbildung der Top 10 Risiken in einer Risk matrix (-> „Risk accounting„) is no longer relevant in the face of highly volatile markets. Make decisions now based on risk-return considerations (-> „Risk management„) oder erweitern Sie zumindest Ihre Risikoberichterstattung um relevante Zusatzinformationen zur Risk matrix.
The problem with traditional risk models
- they do not properly aggregate risks,
- sie ignorieren Abhängigkeiten / Correlations,
- sie unterschätzen Extremereignisse,
- they are subjective and difficult to compare,
- they do not pose any volatile market risks.
In dynamic markets, this leads to wrong decisions.
Why simulations are important
- realistische Verteilungen statt statischer Werte,
- Illustration of dependencies between risks,
- Szenarien für Stress- und Extremereignisse,
- objektive, datenbasierte Control.
This makes risk management measurable, comparable, and controllable.
Practical example
A company with 100 risks identifies through simulation:
Simulation instead of static risk matrix
The analysis makes visible which risks the overall exposure actually dominates and which risk drivers.
that 10 Risks 75 % of the total risk exposures (-> among other things, through interdependencies and common risk drivers; in particular, continuously distributed market risks that are not included in the risk matrix).
that 5 Risks are highly interdependent (-> the risk of correlated risks occurring simultaneously is not shown in the risk matrix.)
that the risk matrix reflects the overall risk situation 35-100% underestimated because the constantly distributed market risks are not included and correlations are not taken into account.
Simulations fundamentally change prioritization and planning of measures.
Modern risk management requires simulation
Classic risk matrices reach their limits in an increasingly interconnected and dynamic risk landscape. Simulations create transparency, take dependencies into account, and provide a reliable foundation for informed business decisions.
Practical benefit:
Companies benefit from:
better decisions under risk-return perspectives and anticipating dangers,
realistic risk aggregation taking into account interdependencies, as well as diversification effects,
Higher risk transparency for the board of directors and the supervisory board, as well as the calculation of scenarios and stress tests. Sensitivity analyses show, among other things, the dependence on market changes,
Reliable planning basis, based on a risk-adjusted planning.
