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Everyone at a party is in a contest trying to fit as many marshmallows in their mouth as they can. Caleb bets Thanasi $20 that he “can eat that entire bowl of marshmallows,” and points to a regular-sized bowl of marshmallows. Thanasi agrees. Caleb eats one marshmallow at a time and claims he’s owed $20. Thanasi disagrees, saying that clearly wasn’t the intent of the contract.
Knowing what you know about contracts, what should the result of the marshmallow eating bet be? Select the one option that you think should be the result:
Option 1: Caleb receives $20 from Thanasi.
Option 2: No one receives any money.
Option 3: Thanasi receives $20 from Caleb.
Explain your reasoning. Note: all three answers can be reasonably justified with reference to the law – I just want to see your justification for your answer).
Each student will complete an individual in-depth competitive analysis of the video streaming industry in the US. For this analysis, students will compare four to five competitors and provide an in-depth strategic analysis of those competitors covering four to six key success factors (KSFs). These KSFs will be determined by students in the discussion threads prior to this section, as well as through research and team discussions. Each student mustprovide a table rating each of four to five competitors on the KSFs noted above. Your ratings should be based on evidence (data) from sources found online. If a team member finds data for a KSF online, you may share that data source with your team or the class. Your grade is dependent upon your rationale for your analysis, not the actual numbers.
1. KSF are Price – #Data analyzed – User experience – Capacity for the client to implement the results
Give the reason why for each.
2. Table with data (both data and scores). You can do 2 tables if it is easier to read (one with only data and one with only scores)
J.D. Williams, Inc., is an investment advisory firm that manages more than $120 million in funds for its numerous clients. The company uses an asset allocation model that recommends the portion of each client’s portfolio to be invested in a growth stock fund, an income fund, and a money market fund. To maintain diversity in each client’s portfolio, the firm places limits on the percentage of each portfolio that may be invested in each of the three funds. General guidelines indicate that the amount invested in the growth fund must be between 20% and 40% of the total portfolio value. Similar percentages for the other two funds stipulate that between 20% and 50% of the total portfolio value must be in the income fund and at least 30% of the total portfolio value must be in the money market fund. In addition, the company attempts to assess the risk tolerance of each client and adjust the portfolio to meet the needs of the individual investor. For example, Williams just contracted with a new client who has $800000 to invest. Based on an evaluation of the client’s risk tolerance, Williams assigned a maximum risk index of 0.05 for the client. The firm’s risk indicators show the risk of the growth fund at 0.10, the income fund at 0.07, and the money market fund at 0.01. an overall portfolio risk index is computed as a weighted average of the risk rating for the three funds, where the weights are the fraction of the client’s portfolio invested in each of the funds.
Additionally Williams is currently forecasting annual yields of 18% for the growth fund, 12.5% for the income fund, and 7.5% for the money market fund. Based on the information how should the new client be advised to allocate he $800000 among the growth, income, money market funds?
Let G = Amount invested in growth fund
I = Amount invested in income fund
M = Amount invested in money market fund
The LP formulation is shown below.
MAX 0.18G + 0.125I + 0.075M
S.T.
1) G + I + M < 800000 Funds Available
2) 0.8G -0.2I -0.2M > 0 Min growth fund
3) 0.6G -0.4I -0.4M < 0 Max growth fund
4) -0.2G +0.8I -0.2M > 0 Min income fund
5) -0.5G +0.5I -0.5M < 0 Max income fund
6) -0.3G -0.3I +0.7M > 0 Min money market fund
7) 0.05G + 0.02I -0.04M < 0 Max risk
The optimal objective function value is 94,133.336. The sensitivity report for the optimal solution to this problem is:
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