Suppose that index model for Stocks A and B is estimated from excess returns with the following results : Ra 0.04 +0.6Rm+ea , Rb = - 0.04 + 1.3Rm + eb Risk on the market is 30% , R-squared of A is 30%R - squared of B is 40% , security A residual variance is
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Suppose that index model for Stocks A and B is estimated from excess returns with the following results : Ra 0.04 +0.6Rm+ea , Rb = - 0.04 + 1.3Rm + eb Risk on the market is 30% , R-squared of A is 30%R - squared of B is 40% , security A residual variance is
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- The Capital Asset Price Model (CAPM) is a financial model that attempts to predict the rate of return on a financial instrument, such as a common stock, in such a way that it is linearly related to the rate of return on the overal market. Specifically, RStockAiBo + BR Markets + e You are to study the relationship between the two variables and estimate the above model: R StockAi-rate of return on Stock A for month i, i = 1,2,---, 59. RMarket-market rate of return for month i, i=1,2,..., 59. B₁ represent's the stocks 'beta' value, or its systematic risk. It measure's the stocks volatility related to the market volatility. Bo represents the risk-free interest rate. The data in the .csv file contains the data on the rate of return of a large energy company which will be referred to as Acme Oil and Gas and the corresponding rate of return on the Toronto Composite Index (TSE) for 59 randomly selected months. Therefore Re, represents the monthly rate of return for a common share of Acme Oil…Suppose that the index model for stocks A and B is estimated from excess returns with the following results: RA = 3% +0.7RM + еA RB = -2% + 1.2RM + eB OM = 20% ; R-squareд = 0.20; R-squareg = 0.12 What is the covariance between each stock and the market index? (Calculate using numbers in decimal form, not percentages. Do not round your intermediate calculations. Round your answers to 3 decimal places.) Stock A Stock B CovarianceIt can be conjectured that the annual return a security and the market return are related by the following regression model y=mx+b+ε Where y is the annual return of the security, x is the annual return of the market, b is the intercept, Ɛ is the normally distributed noise, and Return = value at end of the year + received dividends during the year - value at the beginning of the year. Test this model by retrieving annual data on a security of your choice. Choose a financial index such as S&P 500 as the indicator of the market, and retrieve the data. Use the most recent 20 years as the time span of the data. Perform regression analysis and make sure to include the hypothesis in your study. Provide your results and write your conclusions. Include all relevant information and conclusions, significances, the final regression model, coefficient of determination, graph of the regression line accompanied in the scatterplot, extent of residuals, and normality of residuals. Does the model…
- 1. Explain, why doesn’t an estimated absolute covariance number tell the investor much about the relationship between the returns on the two assets?The Capital Asset Pricing Model (CAPM) is a financial model that assumes returns on a portfolio are normally distributed. Suppose a portfolio has an average annual return of 14.7% (i.e. an average gain of 14.7%) with a standard deviation of 33%. A return of 0% means the value of the portfolio doesn’t change, a negative return means that the portfolio loses money, and a positive return means that the portfolio gains money. What percent of years does this portfolio lose money, i.e. have a return less than 0%? What is the cutoff for the highest 15% of annual returns with this portfolio?The Capital Asset Pricing Model (CAPM) is a financial model that assumes returns on a portfolio are normally distributed. Suppose a portfolio has an average annual return of 14.7% (i.e. an average gain of 14.7%) with a standard deviation of 33%. A return of 0% means the value of the portfolio doesn’t change, a negative return means that the portfolio loses money, and a positive return means that the portfolio gains money. (a) What percent of years does this portfolio lose money, i.e. have a return less than 0%? (b) What is the cutoff for the highest 15% of annual returns with this portfolio?
- Stock A has an expected annual return of 18% and a volatility of 34%. Stock B has an expected annual return of 12% and a volatility of 28%. The correlation of the returns of the two stocks is equal to 0.4. Find the expected return of the efficient portfolio with a volatility of 29%. solve on paper pleaseAlthough natural gas is currently inexpensive and nuclear power currently (and perhaps deservedly) does not have a good reputation, it is possible that more nuclear power plants will be constructed in the future. Table 4 presents data concerning the construction costs of light water reactor (LWR) nuclear power plants. The dependent variable, C, construction cost, is expressed in millions of dollars, adjusted to a 1976 base. Preliminary analysis of the data and economic theory indicate that variation in cost increases as cost increases. This suggests transforming cost by taking its natural logarithm. S Power plant capacity in MWe N Cumulative number of power plants built by the contractor Build a multiple regression model to predict ln(C) by taking S and N or their natural logarithms as the independent variables. Make sure to check for multicollinearity. Use residual analysis and R2 to check your model. State which variables are important in predicting the cost of constructing an…Suppose we obtain data on prices of big-screen televisions and estimate the following model: In(Price) = 4.06 + 0.06 * Size +0.23 * Wide + 0.34 * Plasma + 0.21 * LCD+0.09 * Memory where the dependent variable has been transformed, Size is the screen size measured in inches, Wide is a dummy variable equal to one if the television is a widescreen, Plasma is a dummy variable equal to one if the television is a Plasma screen, LCD is equal to one if the television is an LCD screen, and Memory is a dummy variable equal to one if the television has any memory card slots. What is the estimated price of a 42" Widescreen Plasma television with 2 memory card slots? Select one: O a. 7.24 O b. 7.33 1525.38 O d. 1394.09 • e 1881.83 Clear my choice
- 6. In the method of regression, data sets are summarized in a useful form. The "independent" pieces of data are called inputs or regressors, whereas a quantity that is a function of the inputs, will be called a response. In an experiment, the effect of filtration time is related to the volume of clear liquid collected after 5 hours. In this case, which variable will be the input? A. Filtration time B. No. of hours filtration C. Volume of collected liquid D. type of filter paper 7. A/n model being studied and contains information about unexplained variability. A. Residual is the difference between an observation yij and its estimated value from the statistical B. Range C. Mean D. incremental effectA) Compute the last-squares regression line for predicting US emission from NON US - emissions. b) If the non-US emission differ by 0.2 from one year to the next by how much would you predict the US- emission to differ?Discuss two extensions to the original GARCH (p,q) model and explain additional characteristics of financial data they might be able to capture.