Levels Tought:
Elementary,Middle School,High School,College,University,PHD
Teaching Since: | May 2017 |
Last Sign in: | 307 Weeks Ago, 5 Days Ago |
Questions Answered: | 66690 |
Tutorials Posted: | 66688 |
MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
11.7Â Â Â Â Â Â Â Â Suppose that in Problem 10.15 the correlation between the S&P 500 index (measured in dollars) and the FTSE 100 index (measured in sterling) is 0.7, the correlation between the S&P 500 index (measured in dollars) and the dollar-sterling exchange rate is 0.3, and the daily volatility of the S&P 500 Index is 1.6%. What is the correlation between the S&P 500 index (measured in dollars) and the FTSE 100 index when it is translated to dollars? ( For three variables X, Y, and Z, the covariance between X + Y and Z equals the covariance between X Y and plus the covariance between Y and Z.)
11.8Â Â Â Â Â Â Â Â Â Â Â Â Suppose that two variables and have uniform distributions where all values between 0
Â
and 1 are equally likely. Use a Gaussian copula to define the correlation structure between and with a copula correlation of 0.3. Produce a table similar to Table  considering values of 0.25, 0.50, and 0.75 for  and . A spreadsheet for calculating the cumulative bivariate  normal distribution is on the author’s website: www.rotman.utoronto.ca/~hull.
Hel-----------lo -----------Sir-----------/Ma-----------dam-----------Tha-----------nk -----------You----------- fo-----------r u-----------sin-----------g o-----------ur -----------web-----------sit-----------e a-----------nd -----------acq-----------uis-----------iti-----------on -----------of -----------my -----------sol-----------uti-----------on.-----------Ple-----------ase----------- pi-----------ng -----------me -----------on -----------cha-----------t I----------- am----------- on-----------lin-----------e o-----------r i-----------nbo-----------x m-----------e a----------- me-----------ssa-----------ge -----------I w-----------ill----------- be----------- ca-----------tch-----------