Match the term with its most appropriate description assigns more weight to the most recent values in a time series. based on previous forecast plus a percentage of the forecast error. a measure of the strength and direction of relationship between two variables technique that averages a number of recent actual values and updated as new values become available Choose... Choose... Choose... Choose... < ¶ 4
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- Trend projection is an example of _____________ methods of forecasting. a. Econometric b. Barometric c. Time-series d. QualitativeConsider the following data for a dependent variable y and two independent variables, x1 and 12. 30 12 94 47 10 109 25 18 112 51 16 178 40 94 51 19 175 75 171 36 12 118 59 13 143 77 17 212 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating Y to ¤1. Predict y if æ1 = 35. b. Develop an estimated regression equation relating y to x2. ŷ = + Predict y if x2 = 25. ŷ = c. Develop an estimated regression equation relating y to ¤1 and 2. Predict y if x1 = 35 and x2 = 25. ŷ =You are given the following data about Asset A and Asset B. Asset A Asset B Expected returns 8.6% 7.9% Standard Deviation 3.8% 4.6% Assuming that an investor is to choose between Asset A or Asset B, explain which asset a rational investor will choose. c) With the use of a diagram, explain why an investor will always choose a point on the SML line.
- a. 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 portfoliocalculate 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 0.000Problems 1 and 2 used different forecasting methods. Which method appears to provide the more accurate forecasts for the historical data? Explain. Consider the following time series data: Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy: Mean absolute error Mean squared error Mean absolute percentage error What is the forecast for week 7? Refer to the time series data in Problem 1. Using the average of all the historical data as a forecast for the next period, compute the following measures of forecast accuracy: Mean absolute error Mean squared error Mean absolute percentage error What is the forecast for week 7?
- Consider the following time series: a. Construct a time series plot. What type of pattern exists in the data? Is there an indication of a seasonal pattern? b. Use a multiple linear regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. c. Compute the quarterly forecasts for next year.Use the following information to answer the question. Based on above data, determine the expected return? Select one: a. 12.06% b. 19% c. 17.35% d. 16.72%PLEASE ANSWER ALL THE QUESTIONS Question 1 Fill the parts in the above table that are shaded in yellow. You will notice that there are nine line items. Question 2 Using the data generated in the previous question (Question 1);a) Plot the Security Market Line (SML) b) Superimpose the CAPM’s required return on the SML c) Indicate which investments will plot on, above and below the SML? d) If an investment’s expected return (mean return) does not plot on the SML, what does it show? Identify undervalued/overvalued investments from the graph Question 3 From the information generated in the previous two questions; a) Identify two investment alternatives that can be combined in a portfolio. Assume a 50-50 investment allocation in each investment alternative. b) Compute the expected return of the portfolio thus formed. c) Compute the portfolio’s beta. Is the portfolio aggressive or defensive?
- Consider the following time series: Construct a time series plot. What type of pattern exists in the data? Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. What is the forecast for t = 8?Can you explain, when calculating the mean why the probability is included in the calculation? eg when you're using excel: (0.2*7) + (0.1*7) + (0.3*7) + (0.3*7) + (0.1*7) = 7%The expected value, standard deviation of returns, and coefficient o below.) \table[[Asset A],[Possible Outcomes,Probability,Returns (%)