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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. Cross - sectional






2. Weibul distribution






3. Central Limit Theorem






4. GPD






5. Non - parametric vs parametric calculation of VaR






6. Logistic distribution






7. Mean reversion in variance






8. Control variates technique






9. Test for unbiasedness






10. Cholesky factorization (decomposition)






11. Simplified standard (un - weighted) variance






12. Hazard rate of exponentially distributed random variable






13. Homoskedastic only F - stat






14. F distribution






15. Time series data






16. Beta distribution






17. Variance(discrete)






18. Binomial distribution equations for mean variance and std dev






19. Economical(elegant)






20. Unbiased






21. SER






22. Kurtosis






23. LAD






24. Mean reversion in asset dynamics






25. Antithetic variable technique






26. Confidence interval for sample mean






27. Direction of OVB






28. Type I error






29. Panel data (longitudinal or micropanel)






30. i.i.d.






31. Two ways to calculate historical volatility






32. Regime - switching volatility model






33. Heteroskedastic






34. R^2






35. Type II Error






36. Historical std dev






37. Continuously compounded return equation






38. Lognormal






39. Standard normal distribution






40. Unconditional vs conditional distributions






41. What does the OLS minimize?






42. Mean reversion






43. Poisson distribution equations for mean variance and std deviation






44. Importance sampling technique






45. Reliability






46. Persistence






47. Critical z values






48. Mean(expected value)






49. Gamma distribution






50. Binomial distribution