Concept explainers
a.
Determine: Expected return and standard deviation of the portfolio invested.
a.
Explanation of Solution
Given information:
It is given that expected return of A is 0.07, expected return of B is 0.10, expected return of C is 0.20, standard deviation of A is 0.3311, standard deviation of B is 0.5385, standard deviation of C is 0.8944, correlation coefficient between A and B is 0.35, portfolio invested in A is 30% and in B is 70%.
Formula to calculate expected return is as follows:
Substituting Equation with 0.10 for the return of A and 30% for the portfolio invested in A, 0.16 for the return of B and 70% for the portfolio invested in B to calculate expected return.
Hence, the expected return from portfolio investment of 30% in stock A and 70% in stock B is 14.2%.
Formula to calculate standard deviation of the portfolio invested is as follows:
Substituting Equation with 0.30 for Wa, 0.20 for σa, 0.70 for Wb, 0.40 for σb to calculate standard deviation of the portfolio invested.
Hence, standard deviation of the portfolio invested is 88.98%.
b.
Determine: Expected return and standard deviation of the portfolio invested.
b.
Explanation of Solution
Given information:
It is given that expected return of A is 0.10, expected return of B is 0.16, standard deviation of A is 0.20, standard deviation of B is 0.40, correlation coefficient between A and B is 0.35, portfolio invested in A is 30% and in B is 70%.
Formula to calculate expected return is as follows:
Substituting Equation with 0.10 for the return of A and 30% for the portfolio invested in A, 0.16 for the return of B and 70% for the portfolio invested in B to calculate expected return.
Hence, the expected return from portfolio investment of 30% in stock A and 70% in stock B is 14.2%.
Formula to calculate standard deviation of the portfolio invested is as follows:
Substituting Equation with 0.30 for Wa, 0.20 for σa, 0.70 for Wb, 0.40 for σb to calculate standard deviation of the portfolio invested.
Hence, standard deviation of the portfolio invested is 88.98%.
c.
Determine: Expected return and standard deviation of the portfolio invested.
c.
Explanation of Solution
Given information:
It is given that expected return of A is 0.10, expected return of B is 0.16, standard deviation of A is 0.20, standard deviation of B is 0.40, correlation coefficient between A and B is 0.35, portfolio invested in A is 30% and in B is 70%.
Formula to calculate expected return is as follows:
Substituting Equation with 0.10 for the return of A and 30% for the portfolio invested in A, 0.16 for the return of B and 70% for the portfolio invested in B to calculate expected return.
Hence, the expected return from portfolio investment of 30% in stock A and 70% in stock B is 14.2%.
Formula to calculate standard deviation of the portfolio invested is as follows:
Substituting Equation with 0.30 for Wa, 0.20 for σa, 0.70 for Wb, 0.40 for σb to calculate standard deviation of the portfolio invested.
Hence, standard deviation of the portfolio invested is 88.98%.
Want to see more full solutions like this?
Chapter 25 Solutions
Financial Management: Theory & Practice
- Consider the generalised linear regression model: y = Xẞ + e, with E[e] = 0 and E[ee] = 022. Let the model be estimated using both OLS and GLS, and let the OLS estimator of ẞ be denoted as BOLS and its GLS estimator as BGLS. Which of the following statements are incorrect about the OLS and GLS estimators? (a) BOLS is BLUE (b) BGLS is BLUE (c) The variance of BOLS cannot be less than that of BGLS (d) BGLS is more efficient that BOLSarrow_forwardThe regression line in a scatterplot is also known as a(n): A. R-squared line. B. high-low line. C. outcome variable. D. linear trendline.arrow_forwardDefine the following terms, using graphs or equations to illustrate youranswers wherever feasible: d. Characteristic line; beta coefficient, barrow_forward
- Consider the following time series: a. Construct a time series plot. What type of pattern exists in the data? b. Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. c. What is the forecast for t = 6?arrow_forwardThe autocovariance function is used to check the existence of any type of correlation (linear, quadratic,...etc.) between data over timeSelect one:TrueFalsearrow_forwardSHOW YOUR WORK IN THE SPACES PROVIDED BELOW FOR FULL CREDIT. Properties of Normal Distribution: (3p) Write the word or phrase that best completes each statement or answers the question. a. What is the total area under the normal curve? b. The normal distribution is defined by two parameters. What are they? c. What are the mean and standard deviation of the standard normal distribution?arrow_forward
- The regression analysis is normally depicted as "y = Ax+ B." What does "A" indicate in the equation? A) It is the expected change in the independent variable for a one-unit change in the dependent variable OB) It is the significance level for the test OC) It is the expected change in the dependent variable for a one-unit change in the independent variable OD) The confidence intervalarrow_forwardDraw a graph of return on y axis and standard deviation on x-axisarrow_forwardDraw the graph of return on the y-axis and standadr deviation on the x-axisarrow_forward
- The following is a set of data from a sample of n= 11 items. Complete parts (a) through (c). 14 13 4 15 3 16 12 10 19 1 Y 28 26 8 30 6 32 24 20 38 2 a. Compute the covariance. |(Round to three decimal places as needed.) b. Compute the coefficient of correlation. (Do not round until the final answer. Then round to three decimal places as needed.) c. How strong is the relationship between X and Y? Explain. O A. X and Y have a perfect negative correlation because all points fall on a straight line with a negative slope. B. X and Y have a strong positive correlation because as X increases, Y tends to increase also. C. X and Y have a perfect positive correlation because all points fall on a straight line with a positive slope. D. X and Y have no correlation. 124arrow_forwardFind the correlation of assets S and T if the standard deviation of S is 4 and standard deviation of asset B is 2. The covariance of asset S and T is 0.16arrow_forwardtyping clear i need both answersarrow_forward
- Essentials of Business Analytics (MindTap Course ...StatisticsISBN:9781305627734Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. AndersonPublisher:Cengage Learning