quantiles

  1. Nicole Seaman

    P1.T2.20.13. Coskewness and cokurtosis

    Learning objectives: Use sample data to estimate quantiles, including the median. Estimate the mean of two variables and apply the CLT. Estimate the covariance and correlation between two random variables. Explain how coskewness and cokurtosis are related to skewness and kurtosis. Questions...
  2. Nicole Seaman

    CFA Level 1 CFA: Statistical concepts and Quantiles

    Statistics is broadly either descriptive (aka, exploratory data analysis, EDA) or inferential (e.g., making predictions or forecasts). There is generally only one defined population and descriptive measures of the population are called parameters (and denoted with Greek symbols; e.g., mu, µ, for...
  3. D

    Value at risk estimation via statistics

    Hi guys, For my (master) project I am trying to find the probability that a random variable, which is normally distributed, exceeds a quantile that is estimated by a limited number of observations. See attached for my attempt. - Is it correct? - How to incorporate the fact that the mean and...
  4. Nicole Seaman

    P2.T5.709. Coherent risk measures (Dowd, Ch.3)

    Learning objectives: Define coherent risk measures. Estimate risk measures by estimating quantiles. Evaluate estimators of risk measures by estimating their standard errors. Interpret QQ plots to identify the characteristics of a distribution. Questions: 709.1. Sally is a Risk Analyst who...
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