Scenario Capital markets and the ability to raise funds for corporate uses are essential to the U.S. economic system.For this assignment, imagine you have $25,000 to invest in U.S. companies. You are...

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Scenario


Capital markets and the ability to raise funds for corporate uses are essential to the U.S. economic system.For this assignment, imagine you have $25,000 to invest in U.S. companies. You are buying used stock.


You are investing, or buying, the stock because you believe the three companies you choose will make money and pay you a dividend in cash. Each share of stock you buy entitles you to any dividend declared and a vote at the annual stockholders' meeting.


The stocks you choose also give you the ability to earn your money back by selling the stock. Of course, investing in stocks is risky, and there is the possibility that the stock you buy will be worth less when you want your money back. The company is not obligated to give you any of your money back. You will only get your money back if another investor wants to buy your stock.


Instructions


Using the abovescenario and the resources listed below, complete the following directions foryour Week 3 Stock Journal entry:



  1. Use your knowledge and experienceto select three publicly tradedU.S. companies.

    • Make sure you are practicing good diversification.Diversification means you are not selecting three companies from the same industry. For example, you would not want to choose Target, Walmart, and Sam’s Club because they sell the same types of products. A better choice would be Amazon, Uber, and Kroger, because they sell different products and services.

    • You may wish to visitStatistics, Surveysand Government Resourcesto find such companies. For stock price information, you may use the New York Stock Exchange, NASDAQ, Yahoo! Finance, orThe Wall Street Journal.



  2. Determine how you will divide $25,000 across the three companies (for example, $10,000 in Company 1, $10,000 in Company 2, and $5,000 in Company 3).

    • Decide the amount you are investing in each company. You need not provide any analysis to justify your decisions.



  3. Provide a reason for picking each company.

    • For example, you might invest in Ford because that company gets a lot of your money, and you hear that Ford is doing welland will continue to do well.



  4. Identify the number of shares you are buyingand the price of the shares you are buying for each company.


    • Once you decide the companies and the amount you will invest in each company, determine how many shares you can buy. For example, if Company 1 is selling for $42.16, then you may buy $10,000/$42.16, or 237.19 shares. But you cannot buy a part of a share, so you decide to buy either 237 or 238. In this example, you buy 237 shares at $42.16 per share, investing $9,991.92. You will not be able to buy exactly $10,000, or $5,000, or $25,000, but it will be relatively close.


  5. use the same companies used for the stock journal assignment.

  6. only do week 3 on the excel sheet

Answered Same DayOct 28, 2021

Answer To: Scenario Capital markets and the ability to raise funds for corporate uses are essential to the U.S....

Ishmeet Singh answered on Oct 31 2021
147 Votes
Stress Regression Results
    SUMMARY OUTPUT
    Regression Statistics
    Multiple R    0.9178437076
    R Square    0.8424370716
    Adjusted R Square    0.4485297505
    Standard Error    0.0231832917
    Observations    15
    ANOVA
        df    SS    MS    F    Significance F
    Regression    10    0.0114945935    0.0011494593    2.1386682261    0.2414052395
    Residual    4    0.0021498601    0.000537465
    Total    14    0.01364
44535
        Coefficients    Standard Error    t Stat    P-value    Lower 95%    Upper 95%    Lower 95.0%    Upper 95.0%
    Intercept    -0.3792214175    1.4240285805    -0.2663018304    0.8031705383    -4.3329585995    3.5745157646    -4.3329585995    3.5745157646
    Nominal
GDP growth    -0.002433308    0.0063739148    -0.3817603631    0.7220530958    -0.0201301327    0.0152635166    -0.0201301327    0.0152635166
    Nominal disposable
income growth    0.0048272007    0.0063160964    0.7642696371    0.4873023993    -0.0127090943    0.0223634958    -0.0127090943    0.0223634958
    Unemployment
rate    -0.0111185897    0.1154793174    -0.0962820869    0.9279275585    -0.3317405751    0.3095033958    -0.3317405751    0.3095033958
    CPI inflation rate    -0.0114067113    0.0101231381    -1.126795987    0.3228499565    -0.0395130484    0.0166996258    -0.0395130484    0.0166996258
    Mortgage rate    0.0026028832    0.0377363311    0.0689755232    0.9483195686    -0.1021699685    0.1073757349    -0.1021699685    0.1073757349
    Prime rate    -0.0512948202    0.0529427312    -0.9688737058    0.3874730735    -0.1982874071    0.0956977667    -0.1982874071    0.0956977667
    Dow Jones Total Stock Market Index (Level)    -0.0000006803    0.0000085636    -0.0794351406    0.9405018324    -0.0000244567    0.0000230962    -0.0000244567    0.0000230962
    House Price Index (Level)    0.0092244675    0.0052618088    1.7530982117    0.1544563338    -0.0053846556    0.0238335907    -0.0053846556    0.0238335907
    Commercial Real Estate Price Index (Level)    -0.0040370898    0.0013130125    -3.0746773737    0.037123428    -0.0076825969    -0.0003915827    -0.0076825969    -0.0003915827
    Market Volatility Index (Level)    0.0002333836    0.0011100118    0.2102532262    0.8437456973    -0.0028485033    0.0033152704    -0.0028485033    0.0033152704
    RESIDUAL OUTPUT                    PROBABILITY OUTPUT
    Observation    Predicted IRRp    Residuals    Standard Residuals        Percentile    IRRp
    1    -0.0476754382    -0.0087042835    -0.7024120472        3.3333333333    -0.0563797217
    2    -0.0158540509    0.0034244334    0.2763424762        10    -0.0137385413
    3    0.0047618391    -0.0037128745    -0.2996188876        16.6666666667    -0.0124296175
    4    0.0613865389    0.0105550295    0.8517622212        23.3333333333    -0.0036974931
    5    0.0170188245    -0.0011084414    -0.089448209        30    -0.0016621014
    6    -0.0066205589    0.0218902605    1.7664845846        36.6666666667    0.0010489646
    7    0.0069754514    -0.0086375528    -0.6970270612        43.3333333333    0.0076529544
    8    0.0394904028    0.0121930543    0.9839463803        50    0.00805945
    9    0.0317946913    -0.0237352412    -1.9153695249        56.6666666667    0.0152697016
    10    0.007291654    -0.010989147    -0.8867943295        63.3333333333    0.0159103831
    11    -0.0074658865    -0.0062726549    -0.5061862168        70    0.0271869903
    12    0.0496058408    -0.0063679875    -0.5138792984        76.6666666667    0.0390800324
    13    -0.0110573103    0.0187102647    1.5098675633        83.3333333333    0.0432378533
    14    0.0301000042    0.0089800282    0.7246638945        90    0.0516834571
    15    0.0334118781    -0.0062248878    -0.5023315457        96.6666666667    0.0719415684
Portfolio Design
    AMAZON        IRRa    FACEBOOK        IRRfb    FSMDX        IRRf    CDOFX        IRRc    VOO        IRRv    S&P 500 Benchmark        IRRb        Stress Test
    Date    Adj Close    IRRa    Date    Adj Close    IRRfb    Date    Adj Close    IRRf    Date    Adj Close    IRRc    Date    Adj Close    IRRv    Date    Adj Close    IRRb        IRRp    Nominal
GDP growth    Nominal disposable
income growth    Unemployment
rate    CPI inflation rate    Mortgage rate    Prime rate    Dow Jones Total Stock Market Index (Level)    House Price Index (Level)    Commercial Real Estate Price Index (Level)    Market Volatility Index...
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