Results 291 to 300 of about 3,666,543 (317)
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2013
The experience from the global financial crisis has raised serious concerns about the accuracy of standard risk measures as tools for the quantification of extreme downward risk. A key reason for this is that risk measures are subject to model risk due, e.g., to specification and estimation uncertainty.
Christophe M. Boucher +3 more
openaire +1 more source
The experience from the global financial crisis has raised serious concerns about the accuracy of standard risk measures as tools for the quantification of extreme downward risk. A key reason for this is that risk measures are subject to model risk due, e.g., to specification and estimation uncertainty.
Christophe M. Boucher +3 more
openaire +1 more source
Finance and Stochastics, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carole Bernard +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carole Bernard +3 more
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Risk logical and probabilistic models in business and identification of risk models
Informatica (Slovenia), 2001Summary: The apparatus of logical and probabilistic (LP) simulation, not very popular among mathematicians and economists, is developed and used to study risk in business. The logical operations (AND, OR, NOT) are applied to the initiating events (instead of the traditional arithmetical addition of values).
E. D. Solojentsev, V. V. Karasev
openaire +1 more source
Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model
Reliability Engineering and System Safety, 2022Zengkai Liu, Baoping Cai, Xuewei Shi
exaly
A cloud model-based approach for risk analysis of excavation system
Reliability Engineering and System Safety, 2023Shui-Long Shen +2 more
exaly
A risk index model for uncertain portfolio selection with background risk
Computers and Operations Research, 2021Xiaoxia Huang +2 more
exaly