Question

In: Finance

You estimated a regression model using annual returns of ExxonMobil (as a dependent variable) and of...

You estimated a regression model using annual returns of ExxonMobil (as a dependent variable) and of the market (as an independent variable). The R-squared of this regression is 0.2, and the total standard deviation of ExxonMobil's returns in the estimation window is 25%. In this case, the standard deviation of the unsystematic (or idiosyncratic) component of ExxonMobil's returns is:

Solutions

Expert Solution


Related Solutions

You estimated a regression model using annual returns of ExxonMobil (as a dependent variable) and of...
You estimated a regression model using annual returns of ExxonMobil (as a dependent variable) and of the market (as an independent variable). The R-squared of this regression is 0.2, and the total variance of ExxonMobil's returns in the estimation window is 0.0625. In this case, the variance of the unsystematic (or idiosyncratic) component of ExxonMobil's returns is:
Using Excel generate a simple regression model with Y as the dependent variable and X1 and...
Using Excel generate a simple regression model with Y as the dependent variable and X1 and X2 as the independent variables in the attached spreadsheet. Write the following from the output: Intercept: Coefficients of Independent variable: R-square: Significance F: Based on the model generated, forecast profits for a firm with X1= Based on the model generated, forecast profits for a firm with x1=250 and X2=100. Evaluate the predictability of the model using explanatory language that someone who does not have...
Fit a multiple regression model using MPG as the dependent variable and DISP, HP, and WT...
Fit a multiple regression model using MPG as the dependent variable and DISP, HP, and WT as the independent variables. Is the overall regression model significant? Test at the α = 0.05 level of significance. State the null hypothesis, the alternative hypothesis =, the test statistic calculated and critical values and your test conclusion. mpg disp hp wt 21 160 110 2.62 21 160 110 2.875 22.8 108 93 2.32 21.4 258 110 3.215 18.7 360 175 3.44 18.1 225...
Develop estimated regression equations, first using annual income as the independent variable and then using household...
Develop estimated regression equations, first using annual income as the independent variable and then using household size as the independent variable. Which variable is the better predictor of annual credit card charges? Discuss your findings - Income ($1000s) Household Size Amount Charged ($) 54 3 4,016 30 2 3,159 32 4 5,100 50 5 4,742 31 2 1,864 55 2 4,070 37 1 2,731 40 2 3,348 66 4 4,764 51 3 4,110 25 3 4,208 48 4 4,219 27...
Develop estimated regression equations, first using annual income as the independent variable and then using household...
Develop estimated regression equations, first using annual income as the independent variable and then using household size as the independent variable. Which variable is the better predictor of annual credit card charges? Discuss your findings - Income ($1000s) Household Size Amount Charged ($) 54 3 4,016 30 2 3,159 32 4 5,100 50 5 4,742 31 2 1,864 55 2 4,070 37 1 2,731 40 2 3,348 66 4 4,764 51 3 4,110 25 3 4,208 48 4 4,219 27...
Estimate a multiple linear regression relationship with the U.K. stock returns as the dependent variable, and...
Estimate a multiple linear regression relationship with the U.K. stock returns as the dependent variable, and U.K. Corporate Bond yield (Interest rate), U.S. Stock Returns, and Japan Stock Returns as the independent variables using the monthly data covering the sample period 1980-2017 (Finding the determinants of U.K. stock returns). Show the estimated regression relationship Conduct a t-test for statistical significance of the individual slope coefficients at the 1% level of significance. Provide the interpretation of the significant slope estimates. Conduct...
What is the estimated regression equation using Account Balance as the dependent variable, and Income, Years of Education, as well as Size of Household as the independent variable?
  Regression Statistics       Multiple R 0.878541582       R Square 0.771835311       Adjusted R Square 0.75472296       Standard Error 552.6878046       Observations 44                 ANOVA           df SS MS F Regression 3 41332908 13777636 45.10399 Residual 40 12218552 305463.8   Total 43 53551461                 Coefficients Standard Error t Stat P-value Intercept 2095.365223...
a) What is the primary difference between the dependent variable of an OLS regression model and...
a) What is the primary difference between the dependent variable of an OLS regression model and a logit model? b) What is the primary difference between the model results of an OLS regression model and a logit model?
REGRESSION - USING CALCULATOR 1- You are given data for Xi (independent variable) and Yi (dependent...
REGRESSION - USING CALCULATOR 1- You are given data for Xi (independent variable) and Yi (dependent variable). 2- Calculate the correlation coefficient, r: 3- Calculate the coefficient of determination: 4- Calculate the regression coefficient b1 (the slope): 5- Calculate the regression coefficient b0 (the Y-intercept, or constant): 6- The regression equation (a straight line) is: Problem 2: A researcher is interested in determining whether there is a relationship between shelf space and number of books sold for her bookstore. Shelf...
Your experience tells you that an independent variable is positively correlated to the dependent variable but a multiple regression model give it a negative coefficient.
Your experience tells you that an independent variable is positively correlated to the dependent variable but a multiple regression model give it a negative coefficient. What could cause this? Your judgement is wrong. Statistics don't lie The software package made an error The homoscedasticity assumption has been violated The model may have correlated independent variables The heteroscedasticity assumption has been violated
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT