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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. Standard variable for non - normal distributions






2. Cross - sectional






3. Expected future variance rate (t periods forward)






4. Efficiency






5. Difference between population and sample variance






6. SER






7. Sample covariance






8. Covariance






9. Simplified standard (un - weighted) variance






10. Empirical frequency






11. Monte Carlo Simulations






12. Priori (classical) probability






13. Law of Large Numbers






14. K - th moment






15. Normal distribution






16. Two ways to calculate historical volatility






17. Non - parametric vs parametric calculation of VaR






18. Unstable return distribution






19. Mean(expected value)






20. BLUE






21. Exponential distribution






22. Poisson distribution equations for mean variance and std deviation






23. SER






24. Implications of homoscedasticity






25. Single variable (univariate) probability






26. ESS






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

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28. Test for statistical independence






29. Conditional probability functions






30. Reliability






31. Tractable






32. Variance of sample mean






33. Hazard rate of exponentially distributed random variable






34. Gamma distribution






35. Four sampling distributions

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36. Simulating for VaR






37. Central Limit Theorem(CLT)






38. Two requirements of OVB






39. GPD






40. Kurtosis






41. Statistical (or empirical) model






42. Sample correlation






43. Variance of X+Y






44. R^2






45. Confidence interval (from t)






46. Homoskedastic only F - stat






47. Multivariate Density Estimation (MDE)






48. Mean reversion in variance






49. Panel data (longitudinal or micropanel)






50. Chi - squared distribution