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yuqijeffery · 2023年10月09日

问题如下

NO.PZ2022062601000009

问题如下:

High net worth investor Zhou and his investment advisor Jesse discussed shifting parts of his portfolio into alternative investments, Jesse said to Zhou, We have used traditional mean-variance approach to optimize your current portfolio allocation, but this is not appropriate to a portfolios that includes substantial allocations to alternative investments. The returns of traditional asset classes are normally distributed, while the returns of alternative investments often exhibit non-normality. For alternative investments, due to the calculation and reporting methods of returns, even the most basic estimate of risk, the standard deviation of returns, is likely to be measured incorrectly. When it comes to alternative assets, a common approach to portfolio optimization is a two-step process, first using mean-variance analysis for traditional asset classes and then incorporates alternative assets using more sophisticated techniques, such as Monte Carlo simulation.”

In his comments on portfolio optimization, Jesse is the least likely to be correct in the following areas:

选项:

A.

normality of asset class returns.

B.

accuracy of risk estimates for alternative investments.

C.

common way portfolio optimization can incorporate alternative investments.

解释:

A is correct. Despite its limitations, the normality assumption is assumed for both traditional asset classes and alternative asset classes. The returns of traditional asset classes are not normally distributed; However, mean–variance techniques assuming normality have persisted because no standard approach for working with non-normally distributed returns exists. Many alternative asset classes exhibit greater skewness and kurtosis than traditional assets, partly due to high leverage, sensitivity to liquidity events, and asymmetric performance fees, making the assumption of normality even more problematic. However, these concerns also exist in some traditional assets such as speculative grade bonds and micro stocks.

B is not correct. The return on alternative investments is usually based on appraisal data rather than market transactions, which can lead to artificially smoothing and underestimating the standard deviation of returns. Due to limited observation results, infrequent reporting also makes accurate measurement of standard deviation difficult.

C is incorrect. Portfolio optimization involving alternative assets is usually performed in two stages - the first stage follows traditional mean-variance analysis, and the second stage uses Monte Carlo simulation or other more advanced techniques to account for the non-normality of returns on alternative assets.

知识点考察:Asset Allocation Approaches

A是正确的。尽管存在局限性,但对传统资产类别和另类资产类别都假定了正态性假设。传统资产类别的收益不是正态分布的;然而,由于不存在处理非正态分布收益的标准方法,假设正态的均值-方差技术一直存在。许多另类资产类别比传统资产表现出更大的偏斜和峰度,部分原因是高杠杆、对流动性事件的敏感性和不对称的绩效费用,这使得正常性的假设更成问题,但这些担忧也存在于一些传统资产(如投机级债券、微型股)。

B不正确。另类投资的回报通常基于评估数据,而不是市场交易,这会导致人为的平滑和低估回报的标准差。由于观测结果有限,不频繁的报告也使准确测量标准偏差变得困难。

C不正确。包括另类资产的投资组合优化通常分两个阶段进行——第一个阶段遵循传统的均值-方差分析,第二个阶段使用蒙特卡罗模拟或其他更先进的技术来解释另类资产回报的非正态性。

请问所以是假设都是normality但实际return都是non- normal的对吧?

5 个答案
已采纳答案

伯恩_品职助教 · 2023年10月09日

嗨,爱思考的PZer你好:


一般来说都是假设是正态分布的。但是确实有部分资产听名字就知道不可能是正态分布的,比如另类投资。这些就需要基金管理人做好提前功课。实际情况大部分都是正态分布。只是传统资产有小部分不是正态分布,比如垃圾债。总结:从大数据角度讲,全世界所有的事物都符合正态分布,只有一小部分不是正态分布,但整体上都是假设正态分布。如果遇到非正态分布,高手要提前做准备。


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虽然现在很辛苦,但努力过的感觉真的很好,加油!

伯恩_品职助教 · 2023年10月12日

嗨,从没放弃的小努力你好:


这道题A怎么是不正确的呢?我觉得他的comments说的没有问题呀,哪里显示出绝对的语气了?同学你好,这个话很绝对啊,说的传统资产是正态分布啊。

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努力的时光都是限量版,加油!

cherry · 2023年10月12日

这道题A怎么是不正确的呢?我觉得他的comments说的没有问题呀,哪里显示出绝对的语气了?

伯恩_品职助教 · 2023年10月09日

嗨,从没放弃的小努力你好:


客气啦,加油

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就算太阳没有迎着我们而来,我们正在朝着它而去,加油!

伯恩_品职助教 · 2023年10月09日

嗨,从没放弃的小努力你好:


这个题是假设所有的传统资产都是正态分布,但是实际情况是绝大部分传统资产是正态分布,但是有小部分传统资产不是正态分布,比如垃圾债。这个题错在太绝对。

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努力的时光都是限量版,加油!

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NO.PZ2022062601000009问题如下 High net worth investor Zhou anhis investment aisor Jesse scusseshifting parts of his portfolio into alternative investments, Jesse saito Zhou, We have usetrationmean-varianapproato optimize your current portfolio allocation, but this is not appropriate to a portfolios th inclus substantiallocations to alternative investments. The returns of trationasset classes are normally stribute while the returns of alternative investments often exhibit non-normality. For alternative investments, e to the calculation anreporting metho of returns, even the most basic estimate of risk, the stanrviation of returns, is likely to measureincorrectly. When it comes to alternative assets, a common approato portfolio optimization is a two-step process, first using mean-variananalysis for trationasset classes anthen incorporates alternative assets using more sophisticatetechniques, suMonte Carlo simulation.”In his comments on portfolio optimization, Jesse is the least likely to correin the following areas: A.normality of asset class returns.B.accuraof risk estimates for alternative investments.C.common wportfolio optimization cincorporate alternative investments. A is correct. spite its limitations, the normality assumption is assumefor both trationasset classes analternative asset classes. The returns of trationasset classes are not normally stribute However, mean–variantechniques assuming normality have persistebecause no stanrapproafor working with non-normally stributereturns exists. Many alternative asset classes exhibit greater skewness ankurtosis thtrationassets, partly e to high leverage, sensitivity to liquity events, anasymmetric performanfees, making the assumption of normality even more problematiHowever, these concerns also exist in some trationassets suspeculative gra bon anmicro stocks.B is not correct. The return on alternative investments is usually baseon appraista rather thmarket transactions, whicleto artificially smoothing anunrestimating the stanrviation of returns. e to limiteobservation results, infrequent reporting also makes accurate measurement of stanrviation fficult.C is incorrect. Portfolio optimization involving alternative assets is usually performein two stages - the first stage follows trationmean-variananalysis, anthe seconstage uses Monte Carlo simulation or other more aancetechniques to account for the non-normality of returns on alternative assets.知识点考察Asset Allocation ApproachesA是正确的。尽管存在局限性,但对传统资产类别和另类资产类别都假定了正态性假设。传统资产类别的收益不是正态分布的;然而,由于不存在处理非正态分布收益的标准方法,假设正态的均值-方差技术一直存在。许多另类资产类别比传统资产表现出更大的偏斜和峰度,部分原因是高杠杆、对流动性事件的敏感性和不对称的绩效费用,这使得正常性的假设更成问题,但这些担忧也存在于一些传统资产(如投机级债券、微型股)。B不正确。另类投资的回报通常基于评估数据,而不是市场交易,这会导致人为的平滑和低估回报的标准差。由于观测结果有限,不频繁的报告也使准确测量标准偏差变得困难。C不正确。包括另类资产的投资组合优化通常分两个阶段进行——第一个阶段遵循传统的均值-方差分析,第二个阶段使用蒙特卡罗模拟或其他更先进的技术来另类资产回报的非正态性。 c说2个stage,stage的意思是分两步走还是说有两个不同的水平? 两步走的话为啥要先mvo?直接用高级的方法不就可以了吗?两个不同水平的话,第一个stage本身就不适用不是吗

2024-07-14 19:17 1 · 回答

NO.PZ2022062601000009 问题如下 High net worth investor Zhou anhis investment aisor Jesse scusseshifting parts of his portfolio into alternative investments, Jesse saito Zhou, We have usetrationmean-varianapproato optimize your current portfolio allocation, but this is not appropriate to a portfolios th inclus substantiallocations to alternative investments. The returns of trationasset classes are normally stribute while the returns of alternative investments often exhibit non-normality. For alternative investments, e to the calculation anreporting metho of returns, even the most basic estimate of risk, the stanrviation of returns, is likely to measureincorrectly. When it comes to alternative assets, a common approato portfolio optimization is a two-step process, first using mean-variananalysis for trationasset classes anthen incorporates alternative assets using more sophisticatetechniques, suMonte Carlo simulation.”In his comments on portfolio optimization, Jesse is the least likely to correin the following areas: A.normality of asset class returns. B.accuraof risk estimates for alternative investments. C.common wportfolio optimization cincorporate alternative investments. A is correct. spite its limitations, the normality assumption is assumefor both trationasset classes analternative asset classes. The returns of trationasset classes are not normally stribute However, mean–variantechniques assuming normality have persistebecause no stanrapproafor working with non-normally stributereturns exists. Many alternative asset classes exhibit greater skewness ankurtosis thtrationassets, partly e to high leverage, sensitivity to liquity events, anasymmetric performanfees, making the assumption of normality even more problematiHowever, these concerns also exist in some trationassets suspeculative gra bon anmicro stocks.B is not correct. The return on alternative investments is usually baseon appraista rather thmarket transactions, whicleto artificially smoothing anunrestimating the stanrviation of returns. e to limiteobservation results, infrequent reporting also makes accurate measurement of stanrviation fficult.C is incorrect. Portfolio optimization involving alternative assets is usually performein two stages - the first stage follows trationmean-variananalysis, anthe seconstage uses Monte Carlo simulation or other more aancetechniques to account for the non-normality of returns on alternative assets.知识点考察Asset Allocation ApproachesA是正确的。尽管存在局限性,但对传统资产类别和另类资产类别都假定了正态性假设。传统资产类别的收益不是正态分布的;然而,由于不存在处理非正态分布收益的标准方法,假设正态的均值-方差技术一直存在。许多另类资产类别比传统资产表现出更大的偏斜和峰度,部分原因是高杠杆、对流动性事件的敏感性和不对称的绩效费用,这使得正常性的假设更成问题,但这些担忧也存在于一些传统资产(如投机级债券、微型股)。B不正确。另类投资的回报通常基于评估数据,而不是市场交易,这会导致人为的平滑和低估回报的标准差。由于观测结果有限,不频繁的报告也使准确测量标准偏差变得困难。C不正确。包括另类资产的投资组合优化通常分两个阶段进行——第一个阶段遵循传统的均值-方差分析,第二个阶段使用蒙特卡罗模拟或其他更先进的技术来另类资产回报的非正态性。 题目问least likely to correct, A的non-normality不是对的就不能选吗?

2024-04-08 09:27 3 · 回答

NO.PZ2022062601000009 问题如下 High net worth investor Zhou anhis investment aisor Jesse scusseshifting parts of his portfolio into alternative investments, Jesse saito Zhou, We have usetrationmean-varianapproato optimize your current portfolio allocation, but this is not appropriate to a portfolios th inclus substantiallocations to alternative investments. The returns of trationasset classes are normally stribute while the returns of alternative investments often exhibit non-normality. For alternative investments, e to the calculation anreporting metho of returns, even the most basic estimate of risk, the stanrviation of returns, is likely to measureincorrectly. When it comes to alternative assets, a common approato portfolio optimization is a two-step process, first using mean-variananalysis for trationasset classes anthen incorporates alternative assets using more sophisticatetechniques, suMonte Carlo simulation.”In his comments on portfolio optimization, Jesse is the least likely to correin the following areas: A.normality of asset class returns. B.accuraof risk estimates for alternative investments. C.common wportfolio optimization cincorporate alternative investments. A is correct. spite its limitations, the normality assumption is assumefor both trationasset classes analternative asset classes. The returns of trationasset classes are not normally stribute However, mean–variantechniques assuming normality have persistebecause no stanrapproafor working with non-normally stributereturns exists. Many alternative asset classes exhibit greater skewness ankurtosis thtrationassets, partly e to high leverage, sensitivity to liquity events, anasymmetric performanfees, making the assumption of normality even more problematiHowever, these concerns also exist in some trationassets suspeculative gra bon anmicro stocks.B is not correct. The return on alternative investments is usually baseon appraista rather thmarket transactions, whicleto artificially smoothing anunrestimating the stanrviation of returns. e to limiteobservation results, infrequent reporting also makes accurate measurement of stanrviation fficult.C is incorrect. Portfolio optimization involving alternative assets is usually performein two stages - the first stage follows trationmean-variananalysis, anthe seconstage uses Monte Carlo simulation or other more aancetechniques to account for the non-normality of returns on alternative assets.知识点考察Asset Allocation ApproachesA是正确的。尽管存在局限性,但对传统资产类别和另类资产类别都假定了正态性假设。传统资产类别的收益不是正态分布的;然而,由于不存在处理非正态分布收益的标准方法,假设正态的均值-方差技术一直存在。许多另类资产类别比传统资产表现出更大的偏斜和峰度,部分原因是高杠杆、对流动性事件的敏感性和不对称的绩效费用,这使得正常性的假设更成问题,但这些担忧也存在于一些传统资产(如投机级债券、微型股)。B不正确。另类投资的回报通常基于评估数据,而不是市场交易,这会导致人为的平滑和低估回报的标准差。由于观测结果有限,不频繁的报告也使准确测量标准偏差变得困难。C不正确。包括另类资产的投资组合优化通常分两个阶段进行——第一个阶段遵循传统的均值-方差分析,第二个阶段使用蒙特卡罗模拟或其他更先进的技术来另类资产回报的非正态性。 传统资产一般是正态分布,另类投资一般非正态分布,这个表示应该是对的啊?

2024-01-02 15:55 4 · 回答

NO.PZ2022062601000009 问题如下 High net worth investor Zhou anhis investment aisor Jesse scusseshifting parts of his portfolio into alternative investments, Jesse saito Zhou, We have usetrationmean-varianapproato optimize your current portfolio allocation, but this is not appropriate to a portfolios th inclus substantiallocations to alternative investments. The returns of trationasset classes are normally stribute while the returns of alternative investments often exhibit non-normality. For alternative investments, e to the calculation anreporting metho of returns, even the most basic estimate of risk, the stanrviation of returns, is likely to measureincorrectly. When it comes to alternative assets, a common approato portfolio optimization is a two-step process, first using mean-variananalysis for trationasset classes anthen incorporates alternative assets using more sophisticatetechniques, suMonte Carlo simulation.”In his comments on portfolio optimization, Jesse is the least likely to correin the following areas: A.normality of asset class returns. B.accuraof risk estimates for alternative investments. C.common wportfolio optimization cincorporate alternative investments. A is correct. spite its limitations, the normality assumption is assumefor both trationasset classes analternative asset classes. The returns of trationasset classes are not normally stribute However, mean–variantechniques assuming normality have persistebecause no stanrapproafor working with non-normally stributereturns exists. Many alternative asset classes exhibit greater skewness ankurtosis thtrationassets, partly e to high leverage, sensitivity to liquity events, anasymmetric performanfees, making the assumption of normality even more problematiHowever, these concerns also exist in some trationassets suspeculative gra bon anmicro stocks.B is not correct. The return on alternative investments is usually baseon appraista rather thmarket transactions, whicleto artificially smoothing anunrestimating the stanrviation of returns. e to limiteobservation results, infrequent reporting also makes accurate measurement of stanrviation fficult.C is incorrect. Portfolio optimization involving alternative assets is usually performein two stages - the first stage follows trationmean-variananalysis, anthe seconstage uses Monte Carlo simulation or other more aancetechniques to account for the non-normality of returns on alternative assets.知识点考察Asset Allocation ApproachesA是正确的。尽管存在局限性,但对传统资产类别和另类资产类别都假定了正态性假设。传统资产类别的收益不是正态分布的;然而,由于不存在处理非正态分布收益的标准方法,假设正态的均值-方差技术一直存在。许多另类资产类别比传统资产表现出更大的偏斜和峰度,部分原因是高杠杆、对流动性事件的敏感性和不对称的绩效费用,这使得正常性的假设更成问题,但这些担忧也存在于一些传统资产(如投机级债券、微型股)。B不正确。另类投资的回报通常基于评估数据,而不是市场交易,这会导致人为的平滑和低估回报的标准差。由于观测结果有限,不频繁的报告也使准确测量标准偏差变得困难。C不正确。包括另类资产的投资组合优化通常分两个阶段进行——第一个阶段遵循传统的均值-方差分析,第二个阶段使用蒙特卡罗模拟或其他更先进的技术来另类资产回报的非正态性。 谢谢

2023-09-28 21:06 1 · 回答