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- What is Horizontal Analysis? How does it differ from Vertical Analysis? Do you believe one type of analysis is more useful than the other? (2) Perform horizontal analysis on the figures below using dollar amounts and percentages. Round percent answers to one decimal place. (3) Think of the different users of financial statements and discuss who would be interested in this information (and why). 20Y8 20Y7 Fees Earned $680,000 $850,000 Operating Expenses 541,875 637,500 Net Income $138,125 $212,5001.) 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…Refer to the original data. Compute the company's margin of safety in both dollar and percentage terms. (Round your percentage answer to 2 decimal places (i.e. 0.1234 should be entered as 12.34).)
- The following table contains data on market advances and declines: Market Advances and Declines Day Advances(in millions) Declines(in millions) 1 906 704 2 653 986 3 721 789 4 503 968 5 497 1,095 6 970 702 7 1,002 609 8 903 722 9 850 748 10 766 766 Required: a. Calculate cumulative breadth. (Enter your answers in millions. Negative values should be indicated by a minus sign.) b. Is this technical signal bearish or bullish?Which of the following statements is NOT TRUE for the median? A. Every set of nominal-level data has a median value.B. The median is not affected by extreme values in the data set.C. A data set has only one median value.D. The median is the most appropriate measure to summarize and describe a data exhibiting a skewed distribution. A stock investor purchased 3000 shares of ACEN stocks in May at Php6.79 per share. In July, she purchased an additional of 4800 shares at Php8.47 per share. In August she purchased an additional of 8500 shares when the price per share went down to Php7.82. The weighted mean price per share of her ACEN stock is A. Php7.69 B. Php7.82 C. Php8.15 D. Php8.47The Layton Growth Fund has an alpha of 2.7 percent. You have determined that Layton’s information ratio is 0.45. What must Layton’s tracking error be relative to its benchmark? (Enter your answer as a percent rounded to 2 decimal places.)
- Use the following information on states of the economy and stock returns to calculate the standard deviation of returns. (Do not round intermediate calculations. Enter your answer as a percent rounded to 2 decimal places.) State of Economy Probability ofState of Economy Security Returnif State Occurs Recession 0.40 −4.50 % Normal 0.50 13.00 Boom 0.10 25.00SoCal Edison reported the following data for operating revenue and net income for 2001 through 2005. Year Operating Revenue (Millions), X Net Income (Millions), Y 2001 2270 96.9 2002 1482 89.1 2003 2138 103.9 2004 2260 81.6 2005 2600 78.1 Using Excel, determine the least-squares regression line and interpret its slope. Estimate the net income if the operating revenue figure is $2500 million.Peoples Energy INC reported the following data for operating revenue and net income for 2001 through 2005. Year Operating Revenue (Millions), X Net Income (Millions), Y 2001 2270 96.9 2002 1482 89.1 2003 2138 103.9 2004 2260 81.6 2005 2600 78.1 Determine the least-squares regression line and interpret its slope. Estimate the net income if the operating revenue figure is $2500 million. Use Excel showing steps.
- The following table shows an example of gross domestic product values for five countries from 2005 to 2010 in equivalent U.S. dollars (). a. How could you improve the readability of this table? b. The file GDPyears contains sample data from the United Nations Statistics Division on 30 countries and their GDP values from 2005 to 2010 in U.S. dollars (). Create a table that provides all these data for a user. Format the table to make it as easy to read as possible. Hint: It is generally not important for the user to know GDP to an exact dollar figure. It is typical to present GDP values in millions or billions of dollars.Consider again the example introduced in Section 4.5 of a credit card company that has a database of information provided by its customers when the customers apply for credit cards. An analyst has created a multiple regression model for which the dependent variable in the model is credit card charges accrued by a customer in the data set over the past year (y), and the independent variables are the customers annual household income (x1), number of members of the household (x2), and number of years of posthigh school education (x3). Figure 4.23 provides Excel output for a multiple regression model estimated using a data set the company created. a. Estimate the corresponding simple linear regression with the customers annual household income as the independent variable and credit card charges accrued by a customer over the past year as the dependent variable. Interpret the estimated relationship between the customers annual household income and credit card charges accrued over the past year. How much variation in credit card charges accrued by a customer over the past year does this simple linear regression model explain? b. Estimate the corresponding simple linear regression with the number of members in the customers household as the independent variable and credit card charges accrued by a customer over the past year as the dependent variable. Interpret the estimated relationship between the number of members in the customers household and credit card charges accrued over the past year. How much variation in credit card charges accrued by a customer over the past year does this simple linear regression model explain? c. Estimate the corresponding simple linear regression with the customers number of years of posthigh school education as the independent variable and credit card charges accrued by a customer over the past year as the dependent variable. Interpret the estimated relationship between the customers number of years of posthigh school education and credit card charges accrued over the past year. How much variation in credit card charges accrued by a customer over the past year does this simple linear regression model explain? d. Recall the multiple regression in Figure 4.23 with credit card charges accrued by a customer over the past year as the dependent variable and customers annual household income (x1), number of members of the household (x2), and number of years of posthigh school education (x3) as the independent variables. Do the estimated slopes differ substantially from the corresponding slopes that were estimated using simple linear regression in parts a, b, and c? What does this tell you about multicollinearity in the multiple regression model in Figure 4.23? e. Add the coefficients of determination for the simple linear regression in parts a, b, and c, and compare the result to the coefficient of determination for the multiple regression model in Figure 4.23. What does this tell you about multicollinearity in the multiple regression model in Figure 4.23? f. Add age, a dummy variable for gender, and a dummy variable for whether a customer has exceeded his or her credit limit in the past 12 months as independent variables to the multiple regression model in Figure 4.23. Code the dummy variable for gender as 1 if the customers gender is female and 0 if male, and code the dummy variable for whether a customer has exceeded his or her credit limit in the past 12 months as 1 if the customer has exceeded his or her credit limit in the past 12 months and 0 otherwise. Do these variables substantially improve the fit of your model?The scatter chart in the following figure was created using sample data for profits and market capitalizations from a sample of firms in the Fortune 500. a. Discuss what the scatter chart indicates about the relationship between profits and market capitalization? b. The data used to produce this are contained in the file Fortune500. Calculate the covariance between profits and market capitalization. Discuss what the covariance indicates about the relationship between profits and market capitalization? c. Calculate the correlation coefficient between profits and market capitalization. What does the correlations coefficient indicate about the relationship between profits and market capitalization?