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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. Unstable return distribution






2. Least squares estimator(m)






3. Hybrid method for conditional volatility






4. Simulating for VaR






5. Lognormal






6. Variance of X+Y assuming dependence






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

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8. Implied standard deviation for options






9. Mean reversion in asset dynamics






10. Joint probability functions






11. Confidence interval (from t)






12. Inverse transform method






13. BLUE






14. Logistic distribution






15. Continuous random variable






16. Standard error for Monte Carlo replications






17. Unbiased






18. Regime - switching volatility model






19. P - value






20. Heteroskedastic






21. Discrete random variable






22. Simulation models






23. WLS






24. K - th moment






25. Two drawbacks of moving average series






26. Overall F - statistic






27. Central Limit Theorem






28. LFHS






29. Conditional probability functions






30. Type II Error






31. Antithetic variable technique






32. Difference between population and sample variance






33. Continuously compounded return equation






34. R^2






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






36. EWMA






37. Result of combination of two normal with same means






38. Mean(expected value)






39. Control variates technique






40. Covariance calculations using weight sums (lambda)






41. Variance of aX






42. Unconditional vs conditional distributions






43. Binomial distribution equations for mean variance and std dev






44. Poisson Distribution






45. Sample mean






46. Direction of OVB






47. Importance sampling technique






48. Chi - squared distribution






49. LAD






50. T distribution