The following table,, shows the one-year return distribution of Startup, Inc. Calculate: a. The expected return. b. The standard deviation of the return. a. The expected return: The expected return is %. (Round to one decimal place.) b. The standard deviation of the return. The standard deviation is %. (Round to two decimal places.) Data table (Click on the following icon in order to copy its contents into a spreadsheet.) Probability Return 40% - 100% 20% -65% Print 20% -40% Done 10% -25% 10% 1,000%

The following table,, shows the one-year return distribution of Startup, Inc. Calculate: a. The expected return. b. The standard deviation of the return. a. The expected return: The expected return is %. (Round to one decimal place.) b. The standard deviation of the return. The standard deviation is %. (Round to two decimal places.) Data table (Click on the following icon in order to copy its contents into a spreadsheet.) Probability Return 40% - 100% 20% -65% Print 20% -40% Done 10% -25% 10% 1,000%

Essentials of Business Analytics (MindTap Course List)

2nd Edition

ISBN:9781305627734

Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson

Publisher:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson

Chapter8: Time Series Analysis And_forecasting

Section: Chapter Questions

Problem 23P: Consider the following time series data: Construct a time series plot. What type of pattern exists...

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The following table..shows the one-year return distribution of Startup, Inc. Calculate: a. The expected return. b. The standard deviation of the return. Data table (Click on the following icon in order to copy its contents into a spreadsheet.) 40% Probability Return - 80% 20% -65% 20% - 40% 10% -20% 10% 1,000%
1.) On a single chart, plot the value of $1 invested in each of the five indexes over time. I.e., for all ??, plot the cumulative return series for each index: ?????? = (1 + ?��1)(1 + ?��2)...(1 + ????) What patterns do you observe? (10 points) 2.) Plot a histogram of only the Global index returns. Does the distribution look normal? (5 points) 3.) Estimate the following for each of the indices. In calculating the statistics, “monthly” can be interpreted as “not annualized”. (30 points) a. Arithmetic average of monthly returns, and annualized arithmetic return using the APR method b. Geometric average of monthly returns, and annualized geometric return using the EAR method. Why does the geometric average differ from the arithmetic average? c. Standard deviation of monthly returns, and annualized standard deviation d. Sharpe Ratio of monthly returns, and annualized Sharpe Ratio e. Skewness of monthly returns f. Kurtosis of monthly returns g. 5% Value at Risk (VaR) of…
Future values. Fill in the future values for the following table, E, using one of the three methods below a. Use the future value formula, FV= PVx(1+r)". b. Use the TVM keys from a calculator. c. Use the TVM function in a spreadsheet. Present ValuO Inforest Rate Number o Poriods $ 256.00 4% 4. S(Round to the nearest cent.
Show your work (use of formula, etc.) in solving the problem. Provide your answer/solution in the answer space provided below. Answer the question: Given the following historical returns, calculate the average return and the standard deviation: Year Return 1 14% 2 10% 3 15% 4 11%
Using the data in the following table,, estimate the: a. Average return and volatility for each stock. b. Covariance between the stocks. c. Correlation between these two stocks. a. Estimate the average return and volatility for each stock. The average return of stock A is %. (Round to two decimal places.) Data table (Click on the following icon in order to copy its contents into a spreadsheet.) Year 2010 2011 20% 2013 - 1% - 13% Stock A Stock B 20% 12% - 9% Print 2012 8% 9% C Done 2014 4% - 9% 2015 11% 27% - X
Suppose the returns on an asset are normally distributed. The historical average annual return for the asset was 5.2 percent and the standard deviation was 10.6 percent. a. What is the probability that your return on this asset will be less than -9.7 percent in a given year? Use the NORMDIST function in Excel® to answer this question. Note: Do not round intermediate calculations and enter your answer as a percent rounded to 2 decimal places, e.g., 32.16. b. What range of returns would you expect to see 95 percent of the time? Note: Enter your answers for the range from lowest to highest. A negative answer should be indicated by a minus sign. Do not round intermediate calculations and enter your answers as a percent rounded to 2 decimal places, e.g., 32.16. c. What range of returns would you expect to see 99 percent of the time? Note: Enter your answers for the range from lowest to highest. A negative answer should be indicated by a minus sign. Do not round intermediate calculations and…
A linear regression model is Units = 4,004 – 0.659×Week. For week 46, what is the forecast for the number of units? Round your answer to the nearest whole number. units
Suppose the returns on an asset are normally distributed. The historical average annual return for the asset was 5.7 percent and the standard deviation was 18.3 percent. a. What is the probability that your return on this asset will be less than –4.1 percent in a given year? Use the NORMDIST function in Excel® to answer this question. (Do not round intermediate calculations and enter your answer as a percent rounded to 2 decimal places, e.g., 32.16.) b. What range of returns would you expect to see 95 percent of the time? (Enter your answers for the range from lowest to highest. A negative answer should be indicated by a minus sign. Do not round intermediate calculations and enter your answers as a percent rounded to 2 decimal places, e.g., 32.16.) c. What range of returns would you expect to see 99 percent of the time? (Enter your answers for the range from lowest to highest. A negative answer should be indicated by a minus sign. Do not round intermediate calculations…
Type the answers with a screen capture of chart. Produce a daily OHLC bar or Candlestick price chart on PTC us stock. Then, add (1) Two moving averages (it can be simple moving averages or exponential moving averages, with one faster and one slower). You can choose any parameter (number of days, simple or exponential) you prefer. (2) Trend lines over the period covered. It can be up trend line, down trend line or channel that you observe from the chart. (3) Technical indicator(s) such as RSI or MACD. Note: after done the drawing, capture the screen and save as picture and then work with your saved pictures. Can use ANY charting app. On the chart, 1. Identify and mark the current key support and resistance levels. They should include the immediate support/resistance level and the next support/resistance levels. "Current" means you are focusing on the current or latest price level, do not mention the support or resistance levels when the price was, say, several months ago in the earlier…
Consider the following time series data: Construct a time series plot. What type of pattern exists in the data? Use a multiple 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. Compute the quarterly forecasts for next year based on the model you developed in part (b). Use a multiple regression model to develop an equation to account for trend and seasonal effects in the data. Use the dummy variables you developed in part (b) to capture seasonal effects and create a variable t such that t = 1 for quarter 1 in year 1, t = 2 for quarter 2 in year 1, … t = 12 for quarter 4 in year 3. Compute the quarterly forecasts for next year based on the model you developed in part (d). Is the model you developed in part (b) or the model you developed in part (d) more effective? Justify your answer.
(Click on the icon here into a spreadsheet.) T in order to copy the contents of the data table below Investment X Y Z Expected return 17% 17% 17% Standard deviation 7% 8% 9%
You want to estimate the monthly alpha and beta of AXON stock, using the index model. Suppose AXON has a beta of 0.95 and a monthly alpha of 0.5 (representing half a percent). If you set up the regression model correctly, the index model equation should be (remember in index model formulas, we use R instead of r to denote excess returns): Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer. b с d Rmarket = Rmarket = 0.5 x Rstock +0.95 Raxon 0.95 x Rstock +0.5 = 0.5 x Rmarket +0.95 Raxon = 0.95 x Rmarket +0.5