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Probability Concepts

20 chapters · 1 files

In this course, you will learn about probability theory and its applications in measuring risk in investments.

  • Common terminology of probability concepts
  • Calculating probability of an event
  • Unconditional and conditional probabilities
  • Multiplication, addition and total probability rules
  • Joint probabilities
  • Conditional expectations in investment applications
  • Covariance and Correlation
  • Expected value, variance and standard deviation of an asset and a portfolio
  • Bayes’ formula
  • Solving counting problems using factorials, combinations and permutations

Chapters

  1. 1Probability - Basic TerminologyRead free
  2. 2Two Defining Properties of ProbabilityRead free
  3. 3Empirical, Subjective and Priori ProbabilityRead free
  4. 4State the Probability of an Event as OddsRead free
  5. 5Unconditional and Conditional ProbabilitiesRead free
  6. 6Multiplication, Addition and Total Probability RulesRead free
  7. 7Joint Probability of Two EventsRead free
  8. 8Probability of Atleast One of the Events OccuringRead free
  9. 9Dependent Vs. Independent Events in ProbabilityRead free
  10. 10Joint Probability of a Number of Independent EventsRead free
  11. 11Unconditional Probability Using Total Probability RuleRead free
  12. 12Expected Value of InvestmentsRead free
  13. 13Calculating Variance and Standard Deviation of Stock ReturnsRead free
  14. 14Conditional Expected ValuesRead free
  15. 15Calculating Covariance and CorrelationRead free
  16. 16Expected Value of a PortfolioRead free
  17. 17Variance and Standard Deviation of a PortfolioRead free
  18. 18Bayes’ TheoremRead free
  19. 19Multiplication Rule of CountingRead free
  20. 20Permutation and Combination FormulaRead free

Practice quizzes

Files

  • Probability Concepts

    PDF