PRMIA Certification 8007 Mathematical Foundations of Risk Measurement Dumps Online

Are you preparing for 8007 Exam II: Mathematical Foundations of Risk Measurement – 2015 Edition certification exam? Great PRIMA certification 8007 dumps contain real exam questions and answers, which are based on the Mathematical Foundations of Risk Measurement exam objectives. Come to get DumpsBase 8007 dumps questions as the preparation materials.

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1. The class intervals should be large enough so that they not obscure interesting variation within the group

2. An underlying asset price is at 100, its annual volatility is 25% and the risk free interest rate is 5%. A European call option has a strike of 85 and a maturity of 40 days. Its Black-Scholes price is 15.52. The options sensitivities are: delta = 0.98; gamma = 0.006 and vega = 1.55 .

What is the delta-gamma-vega approximation to the new option price when the underlying asset price changes to 105 and the volatility changes to 28%?

3. What is the maximum value for f(x)= 8-(x+3)(x-3)?

4. What is a Hessian?

5. You are investigating the relationship between weather and stock market performance. To do this, you pick 100 stock market locations all over the world. For each location, you collect yesterday's mean temperature and humidity and yesterday's local index return. Performing a regression analysis on this data is an example of…

6. The fundamental theorem of analysis establishes a relation between

7. If the annual volatility of returns is 25% what is the variance of the quarterly returns?

8. A 2-step binomial tree is used to value an American put option with strike 104, given that the underlying price is currently 100. At each step the underlying price can move up by 20% or down by 20% and the risk-neutral probability of an up move is 0.55. There are no dividends paid on the underlying and the discretely compounded risk free interest rate over each time step is 2% .

What is the value of the option in this model?

9. A typical leptokurtotic distribution can be described as a distribution that is relative to a normal distribution

10. In a portfolio there are 7 bonds: 2 AAA Corporate bonds, 2 AAA Agency bonds, 1 AA Corporate and 2 AA Agency bonds. By an unexplained characteristic the probability of any specific AAA bond outperforming the others is twice the probability of any specific AA bond outperforming the others .

What is the probability that an AA bond or a Corporate bond outperforms all of the others?

11. Let X be a random variable distributed normally with mean 0 and standard deviation 1 .

What is the expected value of exp(X)?

12. What is the total derivative of the function f(x,y) = ln(x+y), where ln() denotes the natural logarithmic function?

13. Evaluate the derivative of ln(1+ x2) at the point x = 1

14. A linear regression gives the following output:

Figures in square brackets are estimated standard errors of the coefficient estimates.

What is the value of the test statistic for the hypothesis that the coefficient of is less than 1?

15. You invest $100 000 for 3 years at a continuously compounded rate of 3%. At the end of 3 years, you redeem the investment. Taxes of 22% are applied at the time of redemption .

What is your approximate after-tax profit from the investment, rounded to $10?

16. You are given the following values of a quadratic function f(x): f(0)=0, f(1)=-2, f(2)=-5.

On the basis of these data, the derivative f'(0) is …

17. I have $5m to invest in two stocks: 75% of my capital is invested in stock 1 which has price 100 and the rest is invested in stock 2, which has price 125.

If the price of stock 1 falls to 90 and the price of stock 2 rises to 150, what is the return on my portfolio?

18. In a quadratic Taylor approximation, a function is approximated by:

19. The determinant of a matrix X is equal 2 .

Which of the following statements is true?

20. For the function f(x) =3x-x3 which of the following is true?

21. You intend to invest $100 000 for five years. Four different interest payment options are available. Choose the interest option that yields the highest return over the five year period.

22. Suppose we perform a principle component analysis of the correlation matrix of the returns of 13 yields along the yield curve. The largest eigenvalue of the correlation matrix is 9.8 .

What percentage of return volatility is explained by the first component? (You may use the fact that the sum of the diagonal elements of a square matrix is always equal to the sum of its eigenvalues.)

23. Let N(.) denote the cumulative distribution function of the standard normal probability distribution, and N' its derivative .

Which of the following is false?

24. A 2-year bond has a yield of 5% and an annual coupon of 5% .

What is the Modified Duration of the bond?

25. Simple linear regression involves one dependent variable, one independent variable and one error variable. In contrast, multiple linear regression uses…

26. Which of the following is a false statement concerning the probability density function and the cumulative distribution function of a random variable?

27. Which of the provided answers solves this system of equations?

2y C 3x = 3y +x

y2 + x2 = 68

28. In a binomial tree lattice, at each step the underlying price can move up by a factor of u = 1.1 or down by a factor of . The continuously compounded risk free interest rate over each time step is 1% and there are no dividends paid on the underlying.

The risk neutral probability for an up move is:

29. A simple linear regression is based on 100 data points. The total sum of squares is 1.5 and the correlation between the dependent and explanatory variables is 0.5 .

What is the explained sum of squares?

30. Consider two securities X and Y with the following 5 annual returns:

X: +10%, +3%, -2%, +3%, +5%

Y: +7%, -2%, +3%, -5%, +10%

In this case the sample covariance between the two time series can be calculated as:

31. What is the angle between the following two three dimensional vectors: a=(1,2,3), b=(-4,2,0)?

32. Which of the following statements is true for symmetric positive definite matrices?

33. Solve the simultaneous linear equations: x + 2y - 2 = 0 and y - 3x = 8

34. Calculate the determinant of the following matrix:

35. At what point x does the function f(x) = x3 - 4x2 + 1 have a local minimum?

36. A 95% confidence interval for a parameter estimate can be interpreted as follows:

37. Suppose I trade an option and I wish to hedge that option for delta and vega. Another option is available to trade.

To complete the hedge I would

38. For each of the following functions, indicate whether its graph is concave or convex:

Y = 7x2 + 3x + 9

Y = 6 ln(3x)

Y = exp(-4x)

39. You are given the following regressions of the first difference of the log of a commodity price on the lagged price and of the first difference of the log return on the lagged log return. Each regression is based on 100 data points and figures in square brackets denote the estimated standard errors of the coefficient estimates:

Which of the following hypotheses can be accepted based on these regressions at the 5% confidence level (corresponding to a critical value of the Dickey Fuller test statistic of C 2.89)?

40. In a multiple linear regression, the significance of R2 can be tested using which distribution?

41. If A and B are two events with P(A) = 1/4, P(B) = 1/3 and P(A intersection B) =1/5, what is P(Bc | Ac) i.e. the probability of the complement of B when the complement of A is given?

42. What is the maximum value of the function F(x, y)=x2+y2 in the domain defined by inequalities x 1, y -2, y-x 3 ?

43. Which of the following statements are true about Maximum Likelihood Estimation?

(i) MLE can be applied even if the error terms are not i.i.d. normal.

(ii) MLE involves integrating a likelihood function or a log-likelihood function.

(iii) MLE yields parameter estimates that are consistent.

44. An option has value 10 when the underlying price is 99 and value 9.5 when the underlying price is 101. Approximate the value of the option delta using a first order central finite difference.

45. Every covariance matrix must be positive semi-definite. If it were not then:

46. Which of the following can be used to evaluate a regression model?

(i) Magnitude of R2

(ii) Magnitude of TSS (total sum of squares)

(iii) Tests for statistical significance

(iv) Sign and magnitude of each regression parameter

47. Which of the following properties is exhibited by multiplication, but not by addition?


 

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