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You work for a consulting firm. The University of Exeter ( UE ) has just hired your team to provide recommendations regarding the composition of

You work for a consulting firm. The University of Exeter (UE) has just hired your team to provide recommendations regarding the composition of its endowment fund. Due to the recent pandemic, UE has been relying heavily on its endowment fund for its budgetary needs over the past four years. After discussions with UEs Chief Financial Officer (CFO), your manager has identified several key questions that require further research. Your task is to conduct relevant analyses to address these questions.
UE and your team have decided to invest in the following five stocks: Caterpillar Inc. (CAT), Johnson and Johnson (JNJ), Walmart (WMT), Nvidia (NVDA), and Proctor and Gamble (PG). The analysis will be conducted assuming a risk-free rate of 0% and no exchange rate fluctuations. Trading fees and transaction costs are negligible given the size of UEs portfolio. Assume UE uses historical averages as proxies for expected returns unless otherwise instructed. For portfolio construct purpose, use historical monthly returns from January 2016 to December 2020(note that you need prices on 1/1/2021 to calculate returns for December 2020). For portfolio performance evaluation purpose, use monthly returns from January 2021 to December 2022.
1. UEs current risky portfolio invests in CAT, JNJ, and WMT. UEs CFO is considering expanding its investment universe to include NVDA and PG. Assuming no trading restrictions, plot the efficient frontier using the three stocks that UE currently invests in. Compare it with the efficient frontier generated using all five proposed stocks. Do you recommend UE to expand its investment universe? Why or why not?
2. Assuming no trading restrictions, how should UE construct its risky portfolio using the aforementioned five stocks? Refer to this portfolio as P1.
3. How should UE construct its risky portfolio if it is not allowed to short sell? Refer to this portfolio as P2 and report its weights.
4. Explain whether the weights for P1 and P2 make economic sense.
5. The CFO is also considering managing its risky portfolio passively by following the market wisdom. Utilising the market capitalisation data as of 31/12/2022, the weights for the passive portfolio (denoted as P3 hereafter) are as follows: CAT: 7.35% JNJ: 27.32% WMT: 22.70% NVDA: 21.40% PG: 21.23%
Based on these weights and an assumed monthly market return of 0.7%, calculate each stocks expected return implied by the market.
After reviewing the implied expected returns, your team believes that some adjustments are necessary. Based on your teams research, a downward revision of 0.15% is warranted for WMTs expected monthly return, given the bleak outlook for major retail chains. Conversely, NVDAs expected monthly return should be increased by 0.10% considering the promising potential of graphic processing units. Form an active portfolio, denoted as P4, that incorporates these views and report its weights.6. Compare the weights for P3 and P4. Do their differences make economic sense? 7. Evaluate the performance of P1 ~ P4 using monthly returns from January 2021 to December 2022. Provide investment recommendations tailored to UEs situation, taking into account the short sale constraint.

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