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Efficient Frontier Explained

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0% found this document useful (0 votes)
38 views4 pages

Efficient Frontier Explained

Uploaded by

nikhil khajuria
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Efficient Frontier Definition

The efficient frontier, also known as the portfolio frontier, is a set of ideal or optimal portfolios expected
to give the highest return for a minimal return. It manifests the risk-and return trade-off of a portfolio.
This frontier is formed by plotting the expected return on the y-axis and the standard deviation as a
measure of risk on the x-axis. For building the frontier, there are three important factors to be taken into
consideration:

 Expected return,

 Variance/ Standard Deviation as a measure of the variability of returns, also known as risk and

 The covariance of one asset’s return to that of another asset.

The American Economist Harry Markowitz established this model in 1952. After that, he spent a few
years researching the same, eventually winning the Nobel Prize in 1990.

 The efficient frontier, or the portfolio frontier, describes the ideal portfolios predicted to produce
the highest return with the lowest risk. It depicts the link between risk and returns for a
portfolio, with expected return on the y-axis and standard deviation as a risk measurement on
the x-axis.

 It is vital to consider three key factors: expected return, risk (measured by variance or standard
deviation), and the correlation between the returns of different assets.

 The approach was created by American economist Harry Markowitz in 1952. He dedicated
several years to studying the subject before winning the Nobel Prize in 1990.

Example of the Efficient Frontier

Let us understand the construction of the efficient frontier with the help of a numerical example:

Assume two assets, A1 and A2, are in a particular portfolio. Calculate the risks and returns for the two
assets whose expected return and standard deviation are as follows:

Particulars A1 A2

Expected Return 10% 20%

Standard Deviation 15% 30%

Correlation Coefficient -0.05

Let us now give weights to the assets, i.e., a few portfolio possibilities of investing in such assets as given
below:
Portfolio Weight (in %)

A1 A2

1 100 0

2 75 25

3 50 50

4 25 75

5 0 100

Show more

Using the formula for Expected Return and Portfolio Risk i.e.

Expected Return = (Weight of A1 * Return of A1) + (Weight of A2 * Return of A2)

Portfolio Risk = √ ,

We can arrive at the portfolio risks and returns as below.

Portfoli Risk Return


o

1 15 10

2 9.92 12.5

3 12.99 15

4 20.88 17.5

5 30 20
Using the above table, if we plot the risk on the X-axis and the Return on Y-axis, we get a graph that looks
as follows and is called the efficient frontier, sometimes referred to as the Markowitz bullet.

In this illustration, we have assumed that the portfolio consists of only two assets A1 and A2, for
simplicity and easy understanding. We can, in a similar fashion, construct a portfolio for multiple assets
and plot it to attain the frontier. In the above graph, any points outside the frontier are inferior to the
portfolio on the efficient frontier because they offer the same return with higher risk or lesser return
with the same amount of risk as those on the frontier.

From the above graphical representation of the efficient frontier, we can arrive at two logical
conclusions:

 It is where the optimal portfolios are.

 The efficient frontier is not a straight line. It is curved. It is concave to the Y-axis.

However, the efficient frontier would be a straight line if we are constructing it for a complete risk-free
portfolio.

Assumptions of the Efficient Frontier Model

 Investors are rational and know all the facts about the markets. This assumption implies that all
the investors are vigilant enough to understand the stock movements, predict returns, and invest
accordingly. That also means that this model assumes all investors are on the same page
regarding knowledge of the markets.

 All investors have a common goal: avoid the risk because they are risk-averse and maximize the
return as far as possible and practicable.

 There are not many investors who would affect the market price.
 Investors have unlimited borrowing power.

 Investors lend and borrow money at a risk-free interest rate.

 The markets are efficient.

 The assets follow a normal distribution.

 Markets absorb information quickly and accordingly base the actions.

 The investors' decisions are always based on expected return and standard deviation as a
measure of risk.

Merits

 This theory portrayed the importance of diversification.

 This efficient frontier graph helps investors choose the portfolio combinations with the highest
and least possible returns.

 It represents all the dominant portfolios in the risk-return space.

Drawbacks/Demerits

 The assumption that all investors are rational and make sound investment decisions may not
always be true because not all investors would have enough knowledge about the markets.

 The theory can be applied, or the frontier can be constructed only when a concept of
diversification is involved. If there is no diversification, the theory would certainly fail.

 Also, the assumption that investors have unlimited borrowing and lending capacity is faulty.

 The assumption that the assets follow a normal distribution pattern might not always stand true.
In reality, securities may have to experience returns far from the respective standard deviations,
sometimes like three standard deviations away from the mean.

 The real costs, like taxes, brokerage, fees, etc., are not considered while constructing the frontier.

Conclusion

To sum up, the efficient frontier displays a combination of assets with the optimal expected return level
for a given level of risk. It depends on the past and keeps changing every year; there is new data. After
all, the past figures need not necessarily continue in the future.

All the portfolios on the line are 'efficient,' and the assets that fall outside the line are not optimal
because either they offer a lower return for the same risk or riskier for the same level of return.

Although the model has its demerits, like the non-viable assumptions, it has been earmarked to be
revolutionary when it was first introduced.

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