Answer:
The portfolio’s new beta will be 1.125
Explanation:
In this question, we are interested in calculating the portfolio’s new beta given the value of the beta of the stock which is used in replacing it.
We apply a mathematical approach here.
Mathematically;
Portfolio beta=Respective beta * Respective investment weight
=(50,000/200,000*1.5)+(50,000/200,000*0.8)+(50,000/200,000*1)+(50,000/200,000*1.2)
= 0.375 + 0.2 + 0.25 + 0.3 = 1.125
Answer:
6.35%
Explanation:
If you purchase this bond you will need to pay $1,000 x 136.04% = $1,360.40
the coupon rate is 9.5% / 2 = 4.75% or $47.50 every six months
the bond matures in 18 years or 36 semiannual periods
yield to maturity = {coupon + [(face value - market value)/n]} / [(face value + market value)/2]
YTM = {47.5 + [(1,000 - 1,360.4)/36]} / [(1,000 + 1,360.4)/2]
YTM = 37.49 / 1,180.2 = 0.031766 x 2 (annual yield) = 0.06353 = 6.35%
Answer: Logistic regression
Explanation:
The type of model that the student group can utilize to analyze which features are important for explaining whether someone opens a promotional email is the logistic regression.
Logistic regression is the regression analysis that's used to conduct in a case whereby the dependent variable is binary.
With regards to the question, the logistic regression can provide the best model which will be used to forecast the most important features for the opening of the promotional e-mail.
