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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. Discrete random variable






2. Heteroskedastic






3. Regime - switching volatility model






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






5. Discrete representation of the GBM






6. Gamma distribution






7. Adjusted R^2






8. Implications of homoscedasticity






9. Overall F - statistic






10. WLS






11. Inverse transform method






12. Historical std dev






13. Confidence interval for sample mean






14. Hybrid method for conditional volatility






15. BLUE






16. Skewness






17. Standard variable for non - normal distributions






18. Variance of X - Y assuming dependence






19. SER






20. GARCH






21. T distribution






22. LFHS






23. Hazard rate of exponentially distributed random variable






24. Variance(discrete)






25. Weibul distribution






26. Economical(elegant)






27. Test for unbiasedness






28. Exact significance level






29. Efficiency






30. Standard normal distribution






31. Perfect multicollinearity






32. Variance of X+b






33. Variance of X+Y assuming dependence






34. Mean reversion






35. Marginal unconditional probability function






36. Standard error






37. Sample covariance






38. Central Limit Theorem(CLT)






39. ESS






40. Deterministic Simulation






41. Logistic distribution






42. Cross - sectional






43. Variance of X+Y






44. Sample mean






45. Shortcomings of implied volatility






46. Central Limit Theorem






47. Block maxima






48. Continuous representation of the GBM






49. Key properties of linear regression






50. i.i.d.