Market Data Return Standard Deviation Beta Market Data 0.120 0.200 1.000 Risk-Free Rate 0.025 0.000 0.000 Company Data A B C Alpha 0.015 0.020 -0.005 Beta 1.200 0.800 1.250 Residual standard deviation, σ(e) 0.105 0.195 0.067 Standard Deviation of Excess Return 0.245 0.235 0.210 Required: Using the data above, please solve for the Sharpe Ratio, Treynor's Measure, and Information Ratio.
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| Market Data | Return | Standard Deviation | Beta | |||
| Market Data | 0.120 | 0.200 | 1.000 | |||
| Risk-Free Rate | 0.025 | 0.000 | 0.000 | |||
| Company Data | A | B | C | |||
| Alpha | 0.015 | 0.020 | -0.005 | |||
| Beta | 1.200 | 0.800 | 1.250 | |||
| Residual standard deviation, σ(e) | 0.105 | 0.195 | 0.067 | |||
| Standard Deviation of Excess Return | 0.245 | 0.235 | 0.210 | |||
| Required: | ||||||
| Using the data above, please solve for the Sharpe Ratio, Treynor's Measure, and Information Ratio. |
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- Market Data Return Standard Deviation Beta Market Data 0.120 0.200 1.000 Risk-Free Rate 0.025 0.000 0.000 Company Data A B C Alpha 0.015 0.020 -0.005 Beta 1.200 0.800 1.250 Residual standard deviation, σ(e) 0.105 0.195 0.067 Standard Deviation of Excess Return 0.245 0.235 0.210 Required: Using the data above, please solve for the Sharpe Ratio, Treynor's Measure, and Information Ratio. (Use cells A3 to D10 from the given information to complete this question. Negative answers should be input and displayed as a negative values. All other answers should be input and displayed as positive values.) Risk-Adjusted Performance Measures A B C Market Sharpe Ratio Treynor's Measure Information RatioAssume the standard deviation of the market return is 0.2, the standard deviation of asset k is 0.45 and the beta of asset k is 0.675. The correlation coefficient between the return from asset k and the return from the market is: A. 0.473 OB. 0.900 OC. No answer OD. 0.290calculate the following Sharpe Ratio (SP) Treynor Measure Jensen Measure M2 measure T2 measure Information Ratio (appraisal ratio) Fund Average return Standard Deviation Beta coefficient Unsystematic Risk A 0.240 0.220 0.800 0.017 B 0.200 0.170 0.900 0.450 C 0.290 0.380 1.200 0.074 D 0.260 0.290 1.100 0.026 E 0.180 0.400 0.900 0.121 F 0.320 0.460 1.100 0.153 G 0.250 0.190 0.700 0.120 Market 0.220 0.180 1.000 0.000 Risk free return 0.050 0.000
- Please fill out the parts in the above table that are shaded in yellow. You will notice that there are nine line items Please answer : Covariance with MP Correlation with Market Index Beta CAPM Req. Returna. Using the data in the table below alculate the following performance measures.i. Sharpe ratioii. Treynor measureiii. Jensen’s alphaiv. M-squared measurev. T-squared measure, andvi. Appraisal ratio (information ratio) Fund Average return Standard Deviation Beta coefficient Unsystematic Risk A 0.240 0.220 0.800 0.017 B 0.200 0.170 0.900 0.450 C 0.290 0.380 1.200 0.074 D 0.260 0.290 1.100 0.026 E 0.180 0.400 0.900 0.121 F 0.320 0.460 1.100 0.153 G 0.250 0.190 0.700 0.120 Market 0.220 0.180 1.000 0.000 Risk free return 0.050 0.000 b. Out of the performance measures you calculated in part a., which one would you use undereach of the following circumstances:i. You want to select one of the funds as your risky portfolio.ii. You want to select one of the funds to be mixed with the rest of your portfolio,currently composed solely of holdings in the market-index fund.iii. You want to select one of the funds to form an actively managed stock portfolioIn creating the T2 measure one mixes P* and T-bills to match the _____ of the market and in creating the M2 measure one mixes P* and T-bills to match the _____ of the market. Group of answer choices beta, alpha alpha, beta standard deviation, beta beta, standard deviation
- You run a regression for the Tesla stock return on a market index to estimate the SML equation and find the following Excel output: Multiple R R-Square Adjusted R-Square Standard Error Observations Intercept Market = 0.28 0.25 0.02 40.01 60 13.35 and 0.97 0.8 and 0.1 0.28 and 0.25 0.26 and 1.36 0.2 and 0.75 Coefficients Standard Error t-Stat p-Value 0.2 0.75 The resulting SML equation for Laternios is given by: Er Laternios] 13.35 0.26 0.80 0.97 1.36 0.10 + __ × (E[rM] - rf)Dependent Variable: PORTFOLIO Method: Least Squares Sample: 1991M01 2009M12 Included observations: 228 Variable с MARKET SIZE VALUE MOMENTUM R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) Coefficient Std. Error t-Statistic 0.003080 0.002256 1.364876 0.0037 0.580669 0.054438 10.66651 0.0000 0.752523 0.057275 13.13866 0.0000 0.054039 0.059387 0.909954 0.3638 0.056782 1.044482 0.2974 0.595842 0.032935 Mean dependent var S.D. dependent var Akaike info criterion Schwarz criterion Prob. 457.2243 Hannan-Quinn criter. 82.19105 Durbin-Watson stat 0.000000 0.007051 0.051348 -3.966880 -3.891675 -3.936537 1.693594 1) Is the model statically significant? Make sure to justify your answer. Write down the model equation (5 marks)Characteristic Line and Security Market Line You are given the following set of data: Historical Rates of Return Year NYSE Stock X 1 -26.5% -11.0% 2 37.2 25.0 3 23.8 13.5 4 -7.2 2.0 5 6.6 11.1 20.5 18.5 7 30.6 19.0 a. Use a spreadsheet (or a calculator with a linear regression function) to determine Stock X's beta coefficient. Do not round intermediate calculations. Round your answer to two decimal places. b. Determine the arithmetic average rates of return for Stock X and the NYSE over the period given. Calculate the standard deviations of returns for both Stock X and the NYSE. Do not round intermediate calculations. Round your answers to two decimal places. Stock X NYSE Average return, FAvg % % Standard deviation, ơ %
- KINDLY ANSWER PART 5,6.and 7 Using the stock price data for any two companies provided below carry out the following tasks: 1.Compute, for each asset: i.Total Returns ii.Expected returns iii.standard deviation iv.Correlation Coefficient 2.Construct the variance-covariance matrix 3.Construct equally weighted portfolio and calculate Expected Return, Standard Deviation and Sharpe ratio. 4.Reconstruct equally weighted portfolio and calculate Expected Return, Standard Deviation and Sharpe ratio. 5.Use Solver to determine optimal risky portfolio. 6.Create hypothetical portfolios (commencing from Weight A=0 and weight B=100) 7.Calculate Expected return and Standard Deviation for all the above combinations 8.Graph the efficient frontier 9.Graph the optimal portfolio 10.Assuming that the investors prefers lower level of risk than what a portfolio of risky assets offer, introduce a risk free asset in the portfolio with a return of 3% 11.Using hypothetical weights (A= Portfolio of Risky…The Beta coefficients of TSLA and JPM are 1.99 and 1.18 respectively. What does Beta measure and how is it interpreted? Explain the beta values of TSLA and JPM by providing a calculated example of how they relate to market returns.Suppose you have the follow information about Intrinsic Co. and the market. What is the Beta of Intrinsic Co.? Probability 0.48 0.35 0.17 a) 1.39 Ob) 1.13 c) 1.00 d) 1.26 Intrinsic Co. Returns 15.4% 17.9% 21.5% Market Returns 9.1% 10.8% 13.5%