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Historical simulation is a method used in finance to assess the value-at-risk (VaR) and to analyze other risk metrics by using historical market data. This technique helps financial institutions and investors understand the potential losses or gains that could occur over a certain period based on actual historical price movements of assets. Here’s a breakdown of how historical simulation works: 1. **Historical Data Collection**: Historical price data for the assets or portfolios being analyzed are collected.

Ancestors (6)

  1. Financial risk modeling
  2. Actuarial science
  3. Applied mathematics
  4. Fields of mathematics
  5. Mathematics
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