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Common Probability Distributions

20 chapters Ā· 1 files

This course introduces some of the discrete and continuous probability distributionsĀ most commonly used to describe the behavior of random variables.

  • Discrete and continuous random variables
  • Probability distribution function and cumulative distribution function
  • Discrete uniform and binomial distribution functions
  • Using binomial trees to describe stock price movement
  • Tracking error
  • Continuous uniform distribution
  • Normal distribution
  • Univariate and multi-variate distributions
  • Standard normal distribution
  • Short-fall risk and safety-first ratio
  • Normal vs. lognormal distribution
  • Discrete and continuously compounded rates of return
  • Monte Carlo simulation and historical simulation

Chapters

  1. 1What is a Probability DistributionRead free
  2. 2Discrete Vs. Continuous Random VariableRead free
  3. 3Cumulative Distribution FunctionRead free
  4. 4Discrete Uniform Random VariableRead free
  5. 5Bernoulli and Binomial DistributionRead free
  6. 6Stock Price Movement Using a Binomial TreeRead free
  7. 7Tracking Error and Tracking RiskRead free
  8. 8Continuous Uniform DistributionRead free
  9. 9Normal DistributionRead free
  10. 10Univariate Vs. Multivariate DistributionRead free
  11. 11Confidence Intervals for a Normal DistributionRead free
  12. 12Standard Normal DistributionRead free
  13. 13Calculating Probabilities Using Standard Normal DistributionRead free
  14. 14Shortfall RiskRead free
  15. 15Safety-first RatioRead free
  16. 16Lognormal Distribution and Stock PricesRead free
  17. 17Discretely Compounded Rate of ReturnRead free
  18. 18Continuously Compounded Rate of ReturnRead free
  19. 19Option Pricing Using Monte Carlo SimulationRead free
  20. 20Historical Simulation Vs Monte Carlo SimulationRead free

Practice quizzes

Files

  • Common Probability Distributions

    PDF