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Deep Learning in Risk Management: A Gentle Introduction
result that we seek in real-world applications: The primary goal is predictive modeling, and the test data ... both probability and potential dollar impact. The primary human input into ANNs is the articulation of the ...- Authors: Damon Levine
- Date: Sep 2022
- Publication Name: Risk Management
- Topics: Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Forecasting
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Insurance Regulation: the 1-year 99.5% VaR Fallacy
Insurance Regulation: the 1-year 99.5% VaR Fallacy European insurance regulation pretends ... digitized, legal systems have changed, and health care has evolved. We now have electricity, and the transport ...- Authors: Sylvestre Frezal
- Date: Aug 2017
- Competency: Strategic Insight and Integration>Effective decision-making; Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Risk Management
- Topics: Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Extreme value theory; Modeling & Statistical Methods>Value at risk - Modeling & Statistical Methods