mvom

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Introduction
Mean Variance Optimization Model and Capital Assets Pricing Model will be compared in the assignment because the models are important in investment. MVOM is that find the best method to share investment to get highest return and lowest risks from calculate the variance of risk and rate of return in the future. CAPM is that from analysis and calculate expected return and risk to find the best method with highest profits and lowest risks. CAPM is a supplement for MVOM.
The report will discuss the probability distribution assumption, inputs and outputs, pros and cons for two models, how Mean-Variance Optimization model behaves when market imposes constraints and limitations of MVOM.

Probability distribution assumption:
The probability distribution assumption on risky asset return distributions of Mean Variance Optimization Model is a symmetric bell shaped distribution which the parabola opens toward right. And the CAPM Model is normally distributed.
Assumptions are used when deriving Mean Variance Optimization Model which are: 1) Investors only focus on means and variances of the portfolio return in a given period. 2) Investors pursuit higher means and lower variances. 3) The investors are against risk and risk can be represented by variance. 4) Financial markets are frictionless. 5) There are no taxation and transaction cost and the price and quantity of asset have no restriction when they trade.
The assumptions of CAPM Model are: 1) Investors can get all information at same time. 2) There are no taxation and transaction cost. 3) Under risk free rate of interest, investors can borrow and lend unlimited amounts. 4) Rational and risk-averse. 5)Have homogeneous expectations. 6) All assets are perfectly divisible and liq...

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... for CAPM are: firstly, the model is simpleness and definitude. The model just divides all of venture capital to three factors: risk free rate of return, price of risk and calculative unit of risk. It can save a huge workload for investors. Secondly, the practicability of CAPM can help investors evaluate and choose financial assets with absolute risk rather than total risk. The decision is easy to make for the model.
However, the model also has some weakness: firstly, the hypothesis for the model is difficulty to implement. Such as: market is not complete, rate of loan is differently and anticipation of investor is dissimilarly. Secondly, beta stands for mobility of price in the past. But investors need the mobility of price future. And beta is difficulty to calculate with past data. Thirdly, the combination of no-risk asset and market investment is not existence.

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