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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. Type II Error






2. Homoskedastic






3. Multivariate Density Estimation (MDE)






4. Cholesky factorization (decomposition)






5. Single variable (univariate) probability






6. Mean reversion






7. Unconditional vs conditional distributions






8. Continuously compounded return equation






9. Confidence interval for sample mean






10. Square root rule






11. Beta distribution






12. Logistic distribution






13. Extending the HS approach for computing value of a portfolio

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14. Binomial distribution equations for mean variance and std dev






15. Skewness






16. Extreme Value Theory






17. Econometrics






18. Law of Large Numbers






19. Perfect multicollinearity






20. Sample variance






21. Normal distribution






22. Mean reversion in asset dynamics






23. Test for statistical independence






24. Two requirements of OVB






25. Homoskedastic only F - stat






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






27. Statistical (or empirical) model






28. Weibul distribution






29. Sample correlation






30. Sample covariance






31. Continuous random variable






32. i.i.d.






33. Tractable






34. Test for unbiasedness






35. Mean(expected value)






36. LFHS






37. LAD






38. Inverse transform method






39. Variance of X+b






40. Type I error






41. Importance sampling technique






42. Monte Carlo Simulations






43. Overall F - statistic






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






45. Standard variable for non - normal distributions






46. Joint probability functions






47. Persistence






48. Unstable return distribution






49. Central Limit Theorem






50. Discrete representation of the GBM