The global order has shifted from an era of post-Cold War cooperation to one of competition and fragmentation. This change is viewed as a fundamental, long-term alteration to the investment landscape, making geopolitical analysis an essential and integrated component of risk management rather than a peripheral concern.
Artificial intelligence presents a dual challenge: it is both a significant new source of market risk (e.g., valuation bubbles, supply chain concentration) and a powerful tool for managing risk. NBIM is actively integrating AI into its processes to monitor geopolitical events, assess counterparty credit quality, and analyze legal documents more efficiently.
The collapse of Credit Suisse serves as a case study in the importance of proactive counterparty risk management. By placing the bank on a watchlist early, actively reducing securities lending exposure, and demanding more collateral, NBIM successfully mitigated potential losses, demonstrating the value of continuous monitoring and decisive action.
Scenario analysis and stress testing are used less for precise prediction and more for strategic purposes like enhancing organizational preparedness, challenging assumptions, and testing the robustness of long-term asset allocation. The primary value is not in the exact loss figures but in ensuring decision-makers have "seen the film before" when a crisis materializes.
Unlisted real assets, while a small portion of the fund, introduce unique risks due to their absence from the benchmark, high transaction costs, and distinct return drivers. NBIM manages this through a dynamic funding strategy (selling a mix of equities and fixed income) and deep, asset-specific due diligence to mitigate structural risks like currency and beta exposure.
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