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6. Risk Metrics and Risk Measures

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the world of risk metrics and measures, crucial tools for assessing and managing risks in enterprise risk management. It begins by introducing key types of risk metrics, such as value at risk (VaR), conditional value at risk (CVaR), and at-risk metrics like cash flow at risk (CFaR) and earnings at risk (EaR). These metrics are essential for evaluating risk-adjusted performance indicators like the Sharpe ratio and developing strategies based on risk evaluations. The chapter also explores how risks described by different probability distributions can be prioritized and interpreted economically. It provides a detailed overview of typical risk measures, including location-dependent and location-independent measures, and their significance in decision-making. The text further discusses the application of risk metrics in non-financial industries and the use of Monte Carlo simulation for determining earnings at risk (EaR) and cash flow at risk (CFaR). Additionally, it covers risk-adjusted performance indicators like the return on risk-adjusted capital (RORAC) and the role of sensitivity analysis in identifying value drivers and managing risk. The chapter concludes with exercises and questions that reinforce the practical application of these concepts, making it a comprehensive guide for professionals seeking to enhance their understanding of risk management.

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Title
Risk Metrics and Risk Measures
Authors
Robert Rieg
Ute Vanini
Werner Gleißner
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-031-86425-4_6
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