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Purpose – The purpose of this editorial is to consider the existence and implications of epistemological constraints in the field of risk finance arising from statistical inequalities similar to the Cramér-Rao lower bound (CRLB) of statistical estimation theory and the Heisenberg uncertainty...
Persistent link: https://www.econbiz.de/10010610665
Purpose – The purpose of this paper is to consider the existence and significance of heavy-tailed – and in particular, infinite-mean – insurance losses. Design/methodology/approach – Three specific questions are addressed in turn. First, how do infinite-mean insurance losses arise in the...
Persistent link: https://www.econbiz.de/10010610675
Purpose – The purpose of this paper is to consider the existence and significance of heavy-tailed – and in particular, infinite-mean – insurance losses. Design/methodology/approach – Three specific questions are addressed in turn. First, how do infinite-mean insurance losses arise in the...
Persistent link: https://www.econbiz.de/10010717477
Purpose – The purpose of this editorial is to consider the existence and implications of epistemological constraints in the field of risk finance arising from statistical inequalities similar to the Cramér-Rao lower bound (CRLB) of statistical estimation theory and the Heisenberg uncertainty...
Persistent link: https://www.econbiz.de/10010717487
Purpose – The purpose of this paper is to consider the existence and significance of heavy‐tailed – and in particular, infinite‐mean – insurance losses. Design/methodology/approach – Three specific questions are addressed in turn. First, how do infinite‐mean insurance losses arise...
Persistent link: https://www.econbiz.de/10014901530
Purpose – The purpose of this editorial is to consider the existence and implications of epistemological constraints in the field of risk finance arising from statistical inequalities similar to the Cramér‐Rao lower bound (CRLB) of statistical estimation theory and the Heisenberg...
Persistent link: https://www.econbiz.de/10014901538