Homework Answers
Standard error is = slope/t-ratio
Therefore, as per the given data, standard error of the slope is (-0.243/0.99)= -0.245
Hence, the correct answer is option (a)
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You run a trading strategy on a constant and the return on the market. The intercept...
Please help with question number 2. Thank you Sample MCT Questions a) b) The annual number...
Please help with question number 2. Thank you
Sample MCT Questions a) b) The annual number of ice-creams sold in the UK from 2000-2018 Which of these is NOT an example of time-scries data Daily rain fall in Reading during October 2018 The price of all the stocks in the FISE100 today d) Vice-chancellor salaries from 2010-2018 2. You run a trading strategy on a constant and the return on the market. The intercept and slope estimates are 0.541 and...
Q2 You find the following return characteristics of a stock relative to a sector ETF using 100 months of data: The stock has a monthly expected return of 1.2%; The stock has a monthly standard deviat...
Q2 You find the following return characteristics of a stock relative to a sector ETF using 100 months of data: The stock has a monthly expected return of 1.2%; The stock has a monthly standard deviation of 10%; The correlation between the stock and that of sector ETF is 0.5. The sector ETF has a monthly mean return of 1% and monthly standard deviation of 5%. If you run a regression of stock return on ETF return, what is the...
11. Assume that you have a strategy that has delivered an annual return of 12% a...
11. Assume that you have a strategy that has delivered an annual return of 12% a year for the last 10 years, with an annualized standard deviation of 30%. The market over the same period had an annual return of 10% over the same period with an annualized standard deviation of 20%. On a Sharpe ratio basis, how did your portfolio do, relative to the market? Explain your answer. a It did 1.25 times better than the market b. It...
QUESTION 19 For the following software output, check each assumption/condition to run linear regression and state...
QUESTION 19 For the following software output, check each assumption/condition to run linear regression and state whether it is appropriate to use linear regression. Bivariate Fit of pluto By alpha 20 15 10 5 0 e 0.05 0.15 C 0.1 alpha Linear Fit Linear Fit pluto -0.597417 16543195*alpha Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.915999 0.911999 2.172963 6.73913 23 Analysis of Variance Sum of DF Squares Mean Square Source...
QUESTION 1 Suppose the short-run elasticity of demand for gasoline in the US retail market is -0.5, and the long-run e...
QUESTION 1 Suppose the short-run elasticity of demand for gasoline in the US retail market is -0.5, and the long-run elasticity of demand in the same market is -0.8. What is the impact of an increase in the US federal gasoline tax? A. Increase tax revenue in the short run and decrease tax revenue in the long run B. Decrease tax revenue in both short run and long run C. Increase tax revenue in both short run and long run...
Only need to answer second question as detailed as you can thanks a) Calculate expected return...
Only need to answer second question as detailed as you can
thanks
a) Calculate expected return of the equity Y. (S points) b) Calculate standard deviation of the equity Y" (5 points) e) Consider a risk-free asset "X" of which the rate of return is 3%. Create a portfolio that consists of risky equity-V" and risk-free asset "X" Calculate portfolio return and standard deviation for each of following set of allocation of investment budget Draw a capital allocation line with...
Need full explanation pls Thank you Question A2 In the short run the market supply is...
Need full explanation pls
Thank you
Question A2 In the short run the market supply is a) the horizontal sum of each firm's average cost curve. b) the horizontal sum of each firm's average cost curve as long as price exceeds average variable cost. c) the horizontal sum of each firms marginal cost curve. d) the horizontal sum of each firm's marginal cost curve as long as price exceeds average variable cost. Question A7 A bahn mi store is a...
I need help answering these questions MULTIPLE CHOICE. Choose the one alternative that best completes the...
I need help answering these questions
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answer the question. 1) The purpose of a linear regression line is to A) calculate the correlation coefficient B) display the bivariate distribution of X and Y C) identify the mean of the X and Y variables D) predict one set of scores from another set 2) The general equation for a straight line is expressed as A) Y - X- B)...
Question 9 (1 point) You work for a company in the marketing department. Your manager has...
Question 9 (1 point) You work for a company in the marketing department. Your manager has tasked you with forecasting sales by month for the next year. You notice that over the past 12 months sales have consistently gone up in a linear fashion, so you decide to run a regression the company's sales history. You find that the regression equation for the data is (sales) 104.21*(time) + 113.38. In 11 months you see the actual sales quantity was 380.64....
QUESTION 27 Q27. A manager at a local bank analyzed the relationship between monthly salary (y,...
QUESTION 27 Q27. A manager at a local bank analyzed the relationship between monthly salary (y, in $) and length of service (x, measured in months) for 30 employees. She estimates the model: Salary = Bo + B1 Service + ε. The following ANOVA table below shows a portion of the regression results. df SS M S F Regression 555,420 555,420 7.64 Residual 27 1,962,873 72,699 Total 28 2 ,518,293 Coefficients Standard Error t-stat p-value Intercept 784.92 322.25 2.44 0.02...
Please help with question number 2. Thank you
Sample MCT Questions a) b) The annual number of ice-creams sold in the UK from 2000-2018 Which of these is NOT an example of time-scries data Daily rain fall in Reading during October 2018 The price of all the stocks in the FISE100 today d) Vice-chancellor salaries from 2010-2018 2. You run a trading strategy on a constant and the return on the market. The intercept and slope estimates are 0.541 and...
11. Assume that you have a strategy that has delivered an annual return of 12% a year for the last 10 years, with an annualized standard deviation of 30%. The market over the same period had an annual return of 10% over the same period with an annualized standard deviation of 20%. On a Sharpe ratio basis, how did your portfolio do, relative to the market? Explain your answer. a It did 1.25 times better than the market b. It...
QUESTION 19 For the following software output, check each assumption/condition to run linear regression and state whether it is appropriate to use linear regression. Bivariate Fit of pluto By alpha 20 15 10 5 0 e 0.05 0.15 C 0.1 alpha Linear Fit Linear Fit pluto -0.597417 16543195*alpha Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.915999 0.911999 2.172963 6.73913 23 Analysis of Variance Sum of DF Squares Mean Square Source...
Only need to answer second question as detailed as you can
thanks
a) Calculate expected return of the equity Y. (S points) b) Calculate standard deviation of the equity Y" (5 points) e) Consider a risk-free asset "X" of which the rate of return is 3%. Create a portfolio that consists of risky equity-V" and risk-free asset "X" Calculate portfolio return and standard deviation for each of following set of allocation of investment budget Draw a capital allocation line with...
Need full explanation pls
Thank you
Question A2 In the short run the market supply is a) the horizontal sum of each firm's average cost curve. b) the horizontal sum of each firm's average cost curve as long as price exceeds average variable cost. c) the horizontal sum of each firms marginal cost curve. d) the horizontal sum of each firm's marginal cost curve as long as price exceeds average variable cost. Question A7 A bahn mi store is a...
I need help answering these questions
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answer the question. 1) The purpose of a linear regression line is to A) calculate the correlation coefficient B) display the bivariate distribution of X and Y C) identify the mean of the X and Y variables D) predict one set of scores from another set 2) The general equation for a straight line is expressed as A) Y - X- B)...
Question 9 (1 point) You work for a company in the marketing department. Your manager has tasked you with forecasting sales by month for the next year. You notice that over the past 12 months sales have consistently gone up in a linear fashion, so you decide to run a regression the company's sales history. You find that the regression equation for the data is (sales) 104.21*(time) + 113.38. In 11 months you see the actual sales quantity was 380.64....
QUESTION 27 Q27. A manager at a local bank analyzed the relationship between monthly salary (y, in $) and length of service (x, measured in months) for 30 employees. She estimates the model: Salary = Bo + B1 Service + ε. The following ANOVA table below shows a portion of the regression results. df SS M S F Regression 555,420 555,420 7.64 Residual 27 1,962,873 72,699 Total 28 2 ,518,293 Coefficients Standard Error t-stat p-value Intercept 784.92 322.25 2.44 0.02...
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