Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Valor em Risco Condicional (Expected Shortfall)× | Valor em Risco (VaR)× | |
|---|---|---|
| Área | Finanças | Finanças |
| Família | Regression model | Regression model |
| Ano de origem≠ | 2000 | 2007 |
| Autor original≠ | Rockafellar & Uryasev (2000); Acerbi & Tasche (2002) | Jorion (textbook benchmark); popularised by RiskMetrics / J.P. Morgan |
| Tipo≠ | Coherent tail-risk measure | Financial risk measure |
| Fonte seminal≠ | Rockafellar, R. T. & Uryasev, S. (2000). Optimization of Conditional Value-at-Risk. Journal of Risk, 2(3), 21-41. DOI ↗ | Jorion, P. (2007). Value at Risk: The New Benchmark for Managing Financial Risk (3rd ed.). McGraw-Hill. ISBN: 978-0071464956 |
| Outros nomes | CVaR, expected shortfall, average value-at-risk, tail VaR | VaR, value-at-risk, delta-normal VaR, historical simulation VaR |
| Relacionados | 5 | 5 |
| Resumo≠ | Conditional Value-at-Risk (CVaR), also called Expected Shortfall, is a coherent tail-risk measure that quantifies the conditional expectation of losses beyond the Value-at-Risk threshold. It was introduced for optimization by Rockafellar and Uryasev (2000) and shown to be coherent by Acerbi and Tasche (2002), and it has replaced VaR as the regulatory standard under Basel III/IV. | Value at Risk is a financial risk measure that estimates the maximum loss a position or portfolio could suffer over a fixed holding period at a given confidence level. It is the standard benchmark in risk management and regulatory capital calculations, developed in the textbook tradition of Jorion (2007) and the Basel market-risk framework. |
| ScholarGateConjunto de dados ↗ |
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