Search results

  1. Dr. Jayanthi Sankaran

    # 104.3 Pages 6 - 7, PQ Set Ch 23 - Hull

    Hi Shakti, Got it! Thanks for your detailed and simply reply - apparently, I was relegating a lot of terms to the exponential power. Jayanthi
  2. Dr. Jayanthi Sankaran

    # 104.3 Pages 6 - 7, PQ Set Ch 23 - Hull

    Hi Shakti, Thanks for the detailed answer - appreciate it! Although, computing 8.97% is a piece of cake, I am having trouble getting 6% and so on.....I am missing something here.....can you show me the illustration for computing 6% at the start of the tenth day series. Jayanthi
  3. Dr. Jayanthi Sankaran

    Graphical Interpretation of Autocorrelation - Diebold reading

    Thanks - appreciate it! I was re-thinking about your question. I will get back to you, if I think differently as I review Diebold. Jayanthi
  4. Dr. Jayanthi Sankaran

    # 104.3 Pages 6 - 7, PQ Set Ch 23 - Hull

    Hi David, In your question below: 104.3 Assume that instead of an infinite historical window, we want to apply EWMA to only the last ten daily returns (i.e., including T-10 but no further back). What is the weight assigned to the seventh prior daily squared-return if we want the sum of the...
  5. Dr. Jayanthi Sankaran

    Study Notes - Quantitative Analysis - Chapter 23 - Hull

    Thank you Nicole for your detailed answer with regards to the details:) I know that it was not necessary to bring up this issue with BT. Nevertheless......thanks for your untiring efforts that make BT such a great Exam Prep Provider! Jayanthi
  6. Dr. Jayanthi Sankaran

    Diebold Chapters 5, 7 and 8 - PQ sets

    Hi David, Could you please add some more PQ sets for Diebold, if possible. Thanks! Jayanthi
  7. Dr. Jayanthi Sankaran

    Deferring Until Next Exam!

    Congrats Brian:) Great news - so happy for you! Good luck with the preparation for November... Jayanthi
  8. Dr. Jayanthi Sankaran

    Graphical Interpretation of Autocorrelation - Diebold reading

    Hi @chanhoke, Thanks - glad to be of help! Figure 4 is just a special case of an autocorrelation function, approaching zero. As you put it, at displacement > 15, the autocorrelation function falls to zero. I guess approaching zero and abruptly falling to zero are all the same, as far as Diebold...
  9. Dr. Jayanthi Sankaran

    Wold's Theorem

    Hi Praveen, Adding my two cents here - all I can decipher and say, is that Copulas and Ch 23 of Hull have Study Notes and PQ sets. The study notes of Ch 23 needs to be updated to include Volatility Term structures (in the AIM Statements) Hope this helps, somewhat! Thanks Jayanthi
  10. Dr. Jayanthi Sankaran

    Study Notes - Quantitative Analysis - Chapter 23 - Hull

    Hi David, I wanted to bring to your attention that the GARP FRM Program Manual for 2015 has in its AIM: "Describe the volatility term structure and the impact of volatility changes" for Chapter 23 of Hull This has not been covered in your study notes. Just wanted to let you know... Thanks...
  11. Dr. Jayanthi Sankaran

    Graphical Interpretation of Autocorrelation - Diebold reading

    Hi @chanhoke, I will hazard a guess here. As you rightly mention from Diebold's definition, autocorrelation function should: (1) decay with the increase in displacement (2) approach 0 with larger displacement Figure 3 is most definitely not a covariance stationary process because is has a...
  12. Dr. Jayanthi Sankaran

    Describe and interpret tests of single restrictions involving multiple coefficients

    Hi Jithu, In addition to the above Practice Questions, you can also look up Pg 144, Chapter 7 - Stock and Watson , Reading 10 in the GARP FRM Book for Quantitative analysis. There is another example on tests of single restrictions involving multiple coefficients, there - thought that would...
  13. Dr. Jayanthi Sankaran

    Study Notes - pg 29 Ch 8, Diebold Modeling cycles: MA, AR and ARMA Models

    Hi David, In the above, I do not understand as to how you derive the autocovariance function: Gamma(tau) = E(y(t),y(t -tau) = E((epsilon(t) + theta*epsilon(t-1)*(epsilon(t - tau) + theta*epsilon(t-tau-1)) = theta*sigma(square), tau =1, 0 - otherwise - how do you get theta*sigma(square)...
  14. Dr. Jayanthi Sankaran

    Diebold - Study Notes - Reading 16 - AIC and SIC

    Hi Shakti, This year's AIMs are contained in the FRM Program Manual 2015. Yes, the Akaike and Schwarz Information Criteria are both mentioned in the AIMs. Thanks! Jayanthi
  15. Dr. Jayanthi Sankaran

    Diebold - Study Notes - Reading 16 - AIC and SIC

    Hi David, Is it necessary to memorize Akaike Information criteria and Schwarz Information Criteria for purposes of the exam? Thanks! Jayanthi
  16. Dr. Jayanthi Sankaran

    Diebold, Chapter 5, 7 and 8

    Thanks, Nicole - appreciate it:) Jayanthi
  17. Dr. Jayanthi Sankaran

    Diebold, Chapter 5, 7 and 8

    Hi David, I notice that while there are Study Notes encompassing Diebold, Chapters 5, 7 and 8, there are no corresponding PQ sets. Does that mean that this material is not that relevant or that you are working towards producing a PQ set...Please let me know:) Thanks! Jayanthi
  18. Dr. Jayanthi Sankaran

    Pg 144 Ch 7 - Stock and Watson - FRM Study Material

    Hi David, In the following: Unrestricted regression: TestScore = 649.6 - 0.29 x STR + 3.87 x Expn - 0.656 x PctEl (10.6) R^2 unrestricted = 0.4366 Restricted regression, estimated by OLS is. Test Score = 664.7 - 0.671 x PctEL, R^2 = 0.4149...
  19. Dr. Jayanthi Sankaran

    Pg 38-Stock/Ch7/Study Notes - Hypothesis Tests/Confidence Intervals in Multiple Regression

    Hi David/Nicole, With reference to the above, I must respectfully add that there is a typo: F = 1/2((t1^2 + t2^2 - 2*rho*t1,t2*t1*t2)/(1 - 2*rhot1,t2)) Instead it should be, F = 1/2((t1^2 + t2^2 - 2*rho*t1,t2*t1*t2)/(1 - rho^2*t1,t2)) Thanks:) Jayanthi
  20. Dr. Jayanthi Sankaran

    Typos-Pg 42 - Stock - Ch 7: Hypothesis Tests and Confidence Intervals in Multiple Regression

    Hi David/Nicole, Respectfully, I must add the following typos, that I want to bring to your attention (red to be replaced by R^2) 5.A. False, we cannot conclude the added variable is significant. Stock & Watson (summary) "There are four potential pitfalls to guard against when using the R^2...
Top