The graph below shows the rate of change of the price of a stock (in dollar share of the stock during this period. Use rectangles with widths of 1 week rectangle. 2.00 --+ 1.60 --i-rt- 1.20 +ートオ-+ $/share per week 0.80 0.40
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- Suppose that the daily simple returns of a stock in one week were -0.4%, 0.8%, 1.3%, -1.5%, and 0.9%. What are the corresponding daily log returns?What is the weekly simple return of the stock?The following are the monthly rates of return for Madison Cookies and for Sophie Electric during a six-month period. Month Madison Cookies Sophie Electric 1 −0.04 0.072 0.06 −0.023 −0.07 −0.104 0.12 0.155 −0.02 −0.066 0.05 0.02 Compute the following. a. Average monthly rate of return Ri for each stockb. Standard deviation of returns for each stockc. Covariance between the rates of returnd. The correlation coefficient between the rates of returnWhat level of correlation did you expect? How did your expectations compare with the computed…The following are the monthly rates of return for Madison Cookies and for Sophie Electric during a six-month period. Month Madison Cookies Sophie Electric 1 -0.04 0.07 2 0.06 -0.02 3 -0.07 -0.10 4 0.12 0.15 5 -0.02 -0.06 6 0.05 0.02 Compute the following: a) Average monthly rate of return for each stock b) Standard deviation of returns for each stock c) Covariance between the rates of returns d) The correlation coefficient between the rates of return e) What level of correlation would you have expected before performing your calculations? f) How did your expectations compare with the computed correlation? g) Would these two stocks be good choices for diversification? Why or why not?
- Use the times and corresponding closing prices of the stock to create coordinate pairs. Let x represent the number of weeks since the first data point, and let y represent the closing price at each time. So, x=0 represents the data point from 5 years ago. There are 52 weeks in a year, and you can write the time for each closing price recorded in terms of weeks that have passed since 5 years ago, when x=0. Fill in the table to represent your data as coordinate pairs. x (weeks since 5 yrs ago) most recent 260 7days ago 259 1 month ago 256 6 months ago 234 1 year ago 208 3 years ago 104 5 years ago 0 y (closing price, in $) most recent 7 days ago 1 month ago 6 months ago 1 year ago 3 years ago 5 years agoConsider a stock whose value increases across an 8-year period as shown in the table. Instructions: Round your answers to two decimal places. a. Calculate the percentage change in the value of the stock from year to year. Percent Change Year 1 2 3 4 5 6 7 8 Stock Value $80.00 92.00 107.00 128.00 145.00 250.00 400.00 670.00 % V b. Calculate the percentage change in the value of the stock across the entire 8-year period. c. Do you think this qualifies as a bubble? & % 4 V N % O Yes, because the percentage change in the stock value is positive every year. O No, because the percentage change in the stock value has not increased. O Yes, because the percentage change in the stock value has increased greatly. O No, because the percentage change in the stock value fluctuates up and down across the 8 years.The price of a share of a particular stock listed on the New York Stock Exchange iscurrently $39. The following probability distribution shows how the price per share isexpected to change over a three-month period:
- A stock has had the following prices at the end of each year for the last six year : $64.10, $74.05, $67.61, $76.25, $82.70 and $93.15. Over those same six years the dividends were $0.00, $1.10, $1.25, $1.45, $1.60, and $1.75. What is the arithmetic and geometric average return for this stock? pls type in computer!The table given below reports last five years data on annual rates of return (HPYS) on two stocks Year Stock A (%) Stock B (%) 1 16 -10 24 40 30 10 5 -20 20 2. Compute the standard deviation for each stock. Which stock is preferable by this measure measureThe table given below reports last five years data on annual rates of return (HPYS) on two stocks Year Stock A (%) Stock B (%) 1 16 -10 24 40 30 10 5 -20 20 pre 3. Compute the coefficient of variation for each stock. By this measure which stock is preferable.
- The monthly rates of return for two corporations are given below:Month ABC Ltd. XYZ Ltd.January -.06 .09February .08 -.04March -.09 -.12April .14 .17May -.02 -.08June .05 .04Compute the following:a. Expected monthly rate of return [E(Ri)] for each stock. b. Standard deviation of returns for each stock. c. The covariance between the rates of return. d. The correlation coefficient between the rates of return.Considering the correlation coefficient, would these two stocks offer a good chance fordiversification? Why or why not?Assume the returns of a stock for the previous five years are as follows: 8%, 12%, - 4%, 9% and 14%. a. What is the arithmetic average? What is the geometric average? b. What is the historical standard deviation of the returns of this stock? c. Another stock in the same industry has had the following year end prices and dividends: Year Price $60.18 73.66 94.18 89.35 78.49 95.05 Dividend 1 $.60 .64 .72 .80 1.20 4 What are the arithmetic and geometric returns for the stock? d. You buy a stock for $62.50 per share and hold it for one year. During the year, the stock paid a dividend of $1.50 and the year-end stock price was $71.25. What was your holding period return on the stock? Also, divide the return of the stock into its two components: the dividend yield and the capital gains component. e. Explain the three forms of market efficiency and its significance as it relates to trading strategies. T23t56The following are the monthly rates of return for Madison Cookies and for Sophie Electric during a six-month period. Month Madison Cookies Sophie Electric 1 -0.04 0.07 2 0.06 -0.02 3 -0.07 -0.10 4 0.12 0.15 5 -0.02 -0.06 6 0.05 0.02 Compute the following: a. Average monthly rate of return, Ri, for each stock b. Standard deviation of returns for each stock c. Covariance between the rates of return d. The correlation coefficient between the rates of return What level of correlation would you have expected before performing your calculations? How did your expectations compare with the computed correlation? Would these two stocks be good choices for diversification? Why or why not?