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FRM Foundations Of Risk Management Quantitative Methods

Instructions:
  • Answer 50 questions in 15 minutes.
  • If you are not ready to take this test, you can study here.
  • Match each statement with the correct term.
  • Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.

This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Binomial distribution






2. Implied standard deviation for options






3. Lognormal






4. Two drawbacks of moving average series






5. K - th moment






6. T distribution






7. Simulating for VaR






8. Test for statistical independence






9. Key properties of linear regression






10. Sample mean






11. Joint probability functions






12. Shortcomings of implied volatility






13. Overall F - statistic






14. Skewness






15. Deterministic Simulation






16. Sample variance






17. Priori (classical) probability






18. WLS






19. Confidence interval for sample mean






20. Confidence interval (from t)






21. Exponential distribution






22. Four sampling distributions

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23. Heteroskedastic






24. Difference between population and sample variance






25. Confidence ellipse






26. Hazard rate of exponentially distributed random variable






27. Extreme Value Theory






28. Limitations of R^2 (what an increase doesn't necessarily imply)

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29. Variance - covariance approach for VaR of a portfolio






30. Conditional probability functions






31. F distribution






32. Law of Large Numbers






33. Biggest (and only real) drawback of GARCH mode






34. Economical(elegant)






35. Logistic distribution






36. Variance of sampling distribution of means when n<N






37. R^2






38. Single variable (univariate) probability






39. Gamma distribution






40. Continuous random variable






41. i.i.d.






42. Reliability






43. GEV






44. Two assumptions of square root rule






45. Simplified standard (un - weighted) variance






46. Homoskedastic only F - stat






47. SER






48. Historical std dev






49. LAD






50. Variance of weighted scheme