Returns earned over a given time period are called realized returns. Historical data on realized returns is often used to estimate future results. Analysts across companies use realized stock returns to estimate the risk of a stock. Consider the case of Celestial Crane Cosmetics Inc. (CCC): Five years of realized returns for CCC are given in the following table. Remember: 1. While CCC was started 40 years ago, its common stock has been publicly traded for the past 25 years. 2. The returns on its equity are calculated as arithmetic returns. 3. The historical returns for CCC for 2014 to 2018 are:     2014 2015 2016 2017 2018 Stock return 18.75% 12.75% 22.50% 31.50% 9.75%   Given the preceding data, the average realized return on CCC’s stock is    .   The preceding data series represents    of CCC’s historical returns. Based on this conclusion, the standard deviation of CCC’s historical returns is    .   If investors expect the average realized return from 2014 to 2018 on CCC’s stock to continue into the future, its coefficient of variation (CV) will be    .

The following table lists several corporate bonds issued during the second quarter of 2015. Company AT&T Bank of America General Electric Goldman Sachs Verizon Wells Fargo Time toMaturity(years) 10 10 2 3 8 7 AnnualRate (%) 3.40 4.00 5.25 6.15 5.15 3.50 If you spent $30,000 on Bank of America bonds, how much interest would you earn every 6 months? HINT [See Example 3.]   How much interest would you earn over the life of the bonds?

Refer to the picture for the question and show alll work in full detail

In May, about 451 thousand existing homes were sold in the U.S., and sales were decreasingby 3.4% per month.(a) Create a model for this situation. (Recall that you should define the independent anddependent variables and their units, as well as provide an equation.)(b) If this trend continues, how many existing homes will be sold in the U.S. in October?(Round to the nearest thousand homes.)

The following data are taken from recent financial statements of Nike, Inc. (NKE) (in millions):     Year 2   Year 1   Revenues (sales)   $32,376   $30,601   Operating income   4,502   4,175   a. Determine the amount of change (in millions) and percent of change in operating income from Year 1 to Year 2. Round to one decimal place. Operating income   $fill in the blank 1   fill in the blank 2% b. Determine the percentage relationship between operating income and sales for Year 2 and Year 1. Round to one decimal place. Year 1 fill in the blank  Year 2 fill in the blank

Duffin House, Higgins Press, and Sickle Publications all went public on the same day recently. John O'Hagan had the opportunity to participate in all three initial public offerings (partly because he and Marjory Duffin are good friends). He made a considerable profit when he sold all of the stock 2 days later on the open market. The following table shows the purchase price and percentage yield on the investment in each company.   Purchase Priceper Share ($) Yield (%) Duffin House (DHS) 8 20 Higgins Press (HPR) 10 15 Sickle Publications (SPUB) 15 15 He invested $25,000 in a total of 2,600 shares and made a $4,350 profit from the transactions. How many shares in each company did he purchase? Duffin House shares Higgins Press shares Sickle Publications shares     I have  x+y+z=2600 8x+10y+15z=25,000 160x+150y+225z=435,000   i keep getting y=506, i know im doing something wrong :(

Please please solve all parts of the question. Thank you so much.

You collect data of average annual returns for Amazon Stock and Microsoft Stock and make the following table: (This data can be copied into Excel.) Year Amazon Return Microsoft Return 2013 0.5896 0.1221 2014 -0.2218 0.2416 2015 1.1778 0.1944 2016 0.1095 0.1200 2017 0.5596 0.3766 2018 0.2843 0.1874 2019 0.3216 0.5526 You use this data to answer the research question: are true population Amazon Returns greater than true population Microsoft Returns?

If actual period demand varies from the forecast by more than 3MAD, this indicates: there is 3% chance that the forecast is wrong. there is a 98% chance that the forecast is wrong. there is a 97% chance that the forecast is wrong. there is a 3% chance that the forecast is correct Moving to the next question prevents changes to this answer:

It is known that in any given year, • 90% of the people in a city move to the suburbs; • 80% of the people in the suburbs do not move to the city. Given an initial city population of 55,000 and an initial suburb population of 77,000, what are the long-term population levels of the city and the suburb?