开发者:上海品职教育科技有限公司 隐私政策详情

应用版本:4.2.11(IOS)|3.2.5(安卓)APP下载

简ying · 2023年04月17日

好像在讲义里没有强调monte carlo解决non—normal的问题?能再给具体解释下吗?

* 问题详情,请 查看题干

NO.PZ202206210100000405

问题如下:

Vitting University Case Scenario

Teddy Brealer is the president of Vitting University (VU). VU just successfully completed a fundraising campaign of $300 million that significantly increased the funds in the endowment (Exhibit 1).

Exhibit 1

Vitting University Endowment Fund Assets and Obligations ($ millions)


* These funds may be used for scholarship and non-scholarship items.

At a meeting with VU’s board of regents, Brealer proposes that the endowment should fund a new capital improvements project for the university that will cost $210.3 million. Brealer acknowledges that it is a large amount that will require another fundraising campaign in the future, but he states that he has already found a wealthy alumnus, Roger Clement, who is willing to donate $50 million if the project is undertaken.

Jennifer Wong, a board member, asks: “If we undertake the project with Clement’s donation but without a new fundraising campaign, how much will the endowment be underfunded?” Other board members agree that the answer to this question should be considered before making a decision. Consequently, the board decides to discuss Brealer’s proposal further at a future meeting.

The board moves on to a discussion about the investment of the endowment with the recently raised funds. Ronald Black, an investment adviser to the board, suggests the following:

  • The asset allocation choice should have a heavy emphasis on fixed-income securities with cash distributions. This type of allocation will offset the future cash disbursements necessary to cover costs at the university in excess of tuition revenue.

  • The weightings within the portfolio should be able to deviate within 5% of the target portfolio weights to take advantage of short-term market opportunities for additional return.

Brealer suggests bringing Black’s portfolio allocation ideas to the University Planning and Priorities Committee (UPPC). The UPPC is composed of six tenured faculty members and three final-year students. Three of the faculty members are from the arts area, and three are from the sciences area. Faculty appointments to the committee are for two-year, non-renewable terms.

Brealer states that the UPPC desires to have the endowment invested in a socially responsible manner, which will require developing a new investment policy statement (IPS). The UPPC intends to draft the new IPS and present it to the board for approval. Upon receiving board approval, the UPPC will direct a financial advisory team and the investment managers to implement the asset allocation indicated in the IPS. Progress reports and governance audits will be provided to the board upon request.

The board is agreeable to this plan and assigns Black to be part of the advisory team after the IPS is drafted and approved.

Following approval of the IPS by the board, the UPPC starts considering different asset allocations with a target annual return for the endowment of 5%, while taking into consideration the expected return and volatility of the given portfolio. Three strategies are presented to the committee based on socially responsible investing (Exhibit 2). The committee’s goal is to find the allocation that has the highest probability of meeting the desired return criteria.

Exhibit 2

Asset Allocation Strategies


* σ is annual volatility, β is the CAPM beta, and k is the expected annual return.

Black states that the UPPC should also consider such issues as the cost associated with rebalancing the portfolio and that the future distribution of asset returns may not be fully characterized by the expected return and volatility. Black further states that his preferred method for dealing with these additional allocation issues is the use of Monte Carlo simulation.

Question


When addressing the University Planning and Priorities Committee, Black’s preferred approach for dealing with the additional allocation issues is most likely:

选项:

A.correct.

B.incorrect because it is unable to address rebalancing costs.

C.incorrect because it is unable to address distributions that are dependent on parameters other than expected return and volatility.

解释:

Solution

A is correct. Black’s preferred approach for dealing with the additional asset allocation issues is the use of Monte Carlo simulation. Monte Carlo simulation can accommodate many future possible scenarios, such as portfolio rebalancing costs and non-normal distributions (i.e., distributions that require more than expected return and volatility as parameters).

B is incorrect. Monte Carlo simulation can accommodate many future possible scenarios, such as portfolio rebalancing costs and non-normal distributions (i.e., distributions that require more than expected return and volatility as a parameter).

C is incorrect. Monte Carlo simulation can accommodate many future possible scenarios, such as portfolio rebalancing costs and non-normal distributions (i.e. distributions that require more than expected return and volatility as a parameter).

如上,,,,,,,,

1 个答案

lynn_品职助教 · 2023年04月17日

嗨,从没放弃的小努力你好:


其实这是因为蒙特卡洛模拟的MCS的输入是一个分布。但是不一定是正态分布,而是变量实际服从的分布。所以它天然就可以解决non-normal的问题。

----------------------------------------------
加油吧,让我们一起遇见更好的自己!

  • 1

    回答
  • 0

    关注
  • 615

    浏览
相关问题

NO.PZ202206210100000405 问题如下 When aressing the University Planning anPriorities Committee, Black’s preferreapproafor aling with the aitionallocation issues is most likely: A.correct. B.incorrebecause it is unable to aress rebalancing costs. C.incorrebecause it is unable to aress stributions thare pennt on parameters other thexpectereturn anvolatility. SolutionA is correct. Black’s preferreapproafor aling with the aitionasset allocation issues is the use of Monte Carlo simulation. Monte Carlo simulation caccommote many future possible scenarios, suportfolio rebalancing costs annon-normstributions (i.e., stributions threquire more thexpectereturn anvolatility parameters).B is incorrect. Monte Carlo simulation caccommote many future possible scenarios, suportfolio rebalancing costs annon-normstributions (i.e., stributions threquire more thexpectereturn anvolatility a parameter).C is incorrect. Monte Carlo simulation caccommote many future possible scenarios, suportfolio rebalancing costs annon-normstributions (i.e. stributions threquire more thexpectereturn anvolatility a parameter). 如题

2024-08-04 15:59 1 · 回答

NO.PZ202206210100000405问题如下 When aressing the University Planning anPriorities Committee, Black’s preferreapproafor aling with the aitionallocation issues is most likely:A.correct.B.incorrebecause it is unable to aress rebalancing costs.C.incorrebecause it is unable to aress stributions thare pennt on parameters other thexpectereturn anvolatility.SolutionA is correct. Black’s preferreapproafor aling with the aitionasset allocation issues is the use of Monte Carlo simulation. Monte Carlo simulation caccommote many future possible scenarios, suportfolio rebalancing costs annon-normstributions (i.e., stributions threquire more thexpectereturn anvolatility parameters).B is incorrect. Monte Carlo simulation caccommote many future possible scenarios, suportfolio rebalancing costs annon-normstributions (i.e., stributions threquire more thexpectereturn anvolatility a parameter).C is incorrect. Monte Carlo simulation caccommote many future possible scenarios, suportfolio rebalancing costs annon-normstributions (i.e. stributions threquire more thexpectereturn anvolatility a parameter).Mcs解决单一期限问题,这个问的是解决只考虑均值和方差问题?怎么能用mcs

2024-07-07 16:58 1 · 回答

NO.PZ202206210100000405 问题如下 When aressing the University Planning anPriorities Committee, Black’s preferreapproafor aling with the aitionallocation issues is most likely: A.correct. B.incorrebecause it is unable to aress rebalancing costs. C.incorrebecause it is unable to aress stributions thare pennt on parameters other thexpectereturn anvolatility. SolutionA is correct. Black’s preferreapproafor aling with the aitionasset allocation issues is the use of Monte Carlo simulation. Monte Carlo simulation caccommote many future possible scenarios, suportfolio rebalancing costs annon-normstributions (i.e., stributions threquire more thexpectereturn anvolatility parameters).B is incorrect. Monte Carlo simulation caccommote many future possible scenarios, suportfolio rebalancing costs annon-normstributions (i.e., stributions threquire more thexpectereturn anvolatility a parameter).C is incorrect. Monte Carlo simulation caccommote many future possible scenarios, suportfolio rebalancing costs annon-normstributions (i.e. stributions threquire more thexpectereturn anvolatility a parameter). MCS可以解决rebalancing costs的问题么?请问这个在讲义中哪里有体现。

2023-04-22 14:10 3 · 回答