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Assessing Risk Assessment

Towards Alternative Risk Measures for Complex Financial Systems

Christian Hugo Hoffmann

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Springer Fachmedien Wiesbaden img Link Publisher

Sozialwissenschaften, Recht, Wirtschaft / Volkswirtschaft

Beschreibung

Christian Hugo Hoffmann undermines the citadel of risk assessment and management, arguing that classical probability theory is not an adequate foundation for modeling systemic and extreme risk in complex financial systems. He proposes a new class of models which focus on the knowledge dimension by precisely describing market participants’ own positions and their propensity to react to outside changes. The author closes his thesis by a synthetical reflection on methods and elaborates on the meaning of decision-making competency in a risk management context in banking. By choosing this poly-dimensional approach, the purpose of his work is to explore shortcomings of risk management approaches of financial institutions and to point out how they might be overcome.

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Schlagwörter

Monads, Risk Modeling, financial crises, Probabilities, Systemic Risk in Banking Contexts, Ranking Theory, Logic Based Risk Management LBR, Functional Programming