Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Waarde in Gevaar× | Monte Carlo Simulatie× | |
|---|---|---|
| Vakgebied≠ | Financiering | Besluitvorming |
| Familie≠ | Regression model | MCDM |
| Jaar van ontstaan≠ | 2007 | 1949 |
| Grondlegger≠ | Jorion (textbook benchmark); popularised by RiskMetrics / J.P. Morgan | Metropolis, N., Ulam, S. |
| Type≠ | Financial risk measure | Robustness wrapper — Monte Carlo uncertainty propagation |
| Oorspronkelijke bron≠ | Jorion, P. (2007). Value at Risk: The New Benchmark for Managing Financial Risk (3rd ed.). McGraw-Hill. ISBN: 978-0071464956 | Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗ |
| Aliassen≠ | VaR, value-at-risk, delta-normal VaR, historical simulation VaR | — |
| Verwant≠ | 5 | 0 |
| Samenvatting≠ | 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. | MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateGegevensset ↗ |
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