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  1. Nicole Seaman

    YouTube T4-01: Three approaches to value at risk (VaR) and volatility

    The three approaches are 1. Parametric; aka, analytical; 2. Historical simulation; and 3. Monte Carlo simulation (MCS). The parametric approach assumes a clean function, the other two work with messy data. Historical simulation is betrayed by a histogram, MCS is betrayed by a random number...
  2. Nicole Seaman

    P1.T4.804. Value at risk (VaR) estimation approaches (Allen)

    Learning objectives: Evaluate the various approaches for estimating VaR. Compare and contrast different parametric and non-parametric approaches for estimating conditional volatility ... Explain long horizon volatility/VaR and the process of mean reversion according to an AR(1) model. Calculate...
  3. Nicole Seaman

    P2.T5.707. Historical simulation and lognormal value at risk (VaR) (Dowd)

    Learning objectives: Estimate VaR using a historical simulation approach. Estimate VaR using a parametric approach for both normal and lognormal return distributions. Questions: 707.1. A mutual fund's daily returns for the last 300 trading days is plotted on this histogram. Additionally, the...