Diversification: Systematic risk and idiosyncratic risk

Loading...

From the course by Rice University

Portfolio Selection and Risk Management

241 ratings

Rice University

Portfolio Selection and Risk Management

241 ratings

Course 2 of 5 in the Specialization Investment and Portfolio Management

When an investor is faced with a portfolio choice problem, the number of possible assets and the various combinations and proportions in which each can be held can seem overwhelming. In this course, you’ll learn the basic principles underlying optimal portfolio construction, diversification, and risk management. You’ll start by acquiring the tools to characterize an investor’s risk and return trade-off. You will next analyze how a portfolio choice problem can be structured and learn how to solve for and implement the optimal portfolio solution. Finally, you will learn about the main pricing models for equilibrium asset prices. Learners will: • Develop risk and return measures for portfolio of assets • Understand the main insights from modern portfolio theory based on diversification • Describe and identify efficient portfolios that manage risk effectively • Solve for portfolio with the best risk-return trade-offs • Understand how risk preference drive optimal asset allocation decisions • Describe and use equilibrium asset pricing models.

From the lesson

Module 2: Portfolio construction and diversification

In this module, we build on the tools from the previous module to develop measure of portfolio risk and return. We define and distinguish between the different sources of risk and discuss the concept of diversification: how and why putting risky assets together in a portfolio eliminates risk that yields a portfolio with less risk than its components. Finally, we review the quantitative tools that help us identify the ‘best’ portfolios with the least risk for a given level of expected return by considering a numerical example using international equity data.

Diversification and portfolio risk3:07

Diversification: A graphical illustration with two assets4:30

Diversification: A graphical illustration with three assets3:06

Diversification: Systematic risk and idiosyncratic risk7:47

Diversification: An illustration from international equity markets (US and Japan only)11:12

Mean-variance frontier and efficient portfolios: International equity investment example (G5 countries)5:18

Meet the Instructors

Arzu Ozoguz
Finance Faculty
Jones Graduate School of Business

What if we have a very large number,

n, of assets that we can combine to get in a portfolio?

Think of n being very very large.

What happens to the portfolio risk then?

Think about it.

Well, let me first remind you the portfolio variance formula for

the two asset case.

All right, I know you sort of know it by heart now.

So what is a portfolio variance if you have two assets with weight w1 and w2.

Remember it's the weight of the first one squared times the variance of the first

one + weight of the second one squared times the variance of the second one.

And then we have to account for the covariance terms.

2 times weights times the covariance of the integer.

Now think of what happens when we have N assets.

Okay, and let's say that each has a weight wi, okay?

What does the portfolio variance look like?

So this is going to look ugly so don't get intimidated by the mess.

I'll try to illustrate the intuition.

So what do we have?

Well, we have all the variance terms which is going to be i going from

one to N, wi squared, sigma i squared.

These are the variance terms.

All right and then we have to pair wise covariance terms.

How many of those we're going to have?

Well, i going from 1 to N, j going from 1 to N i not equal to j,

wi, wj sigma ij.

I know it look ugly, but what do we have?

Well, we have n of these variance terms,

and then we have all the pairwise covariances

n (n- 1) covariance terms.

And this is the total portfolio list.

Well think about what's happening here.

As N increases the relative importance

of the variance terms become relatively much smaller,

less important compared to all

the pairwise covariance terms.

Now, the fact that most things in the economy are affected by some

common factors.

Right, for example, if there is a recession, people aren't employed,

that will probably affect the fortunes of a lot of businesses at the same time.

These covariance terms are going to be

what sort of constitutes most of the portfolio risk.

And this is what we call, the systematic risk.

Right, all the common terms.

All the common risk to all of the assets, okay.

So what does this say?

Well this says that we can decompose risk into two sources, right?

One that we call the systematic risk, right?

Or the market wide risk.

And the other, the idiosyncratic risk, right?

So, market wide risk, or systematic risk,

is due to economy wide factors that effect everything.

Right, recessions or monetary policy.

Whereas idiosyncratic risk or sometimes what we call firm-specific or

unique risk is the part that affects only the fortunes of a single business, right?

For only precisely for specific reasons.

So this source of specific risk is, by definition,

aren't related to any other businesses or any other assets.

And what happens is when we combine securities into a portfolio,

the first specific risk is unique to that asset.

Tends to cancel out and gets eliminated, right?

This is what we call being diversified way away, right?

So is there a limit to how much diversification we can achieve, right?

Well, yes.

Why?

While we can diversify away the idiosyncratic risk, right, by holding

large diversified portfolios, we can't get rid of the systematic risk, right?

Because that affects everything.

Right?

So it will affect all the companies in how they move with the market.

Okay, so this graph is from one of my favorite books.

It's a classic called, A Random Walk Down Wall Street.

And what it's shows is, is how much risk can be eliminated

when you increase the number of stocks in your portfolio.

You see what happens is is focus on the solid line, right?

As you increase the number of stocks in your portfolio from, let say,

ten to about 50, all right?

Most of this risk here gets diversified away, right?

That is the idiosyncratic risk

That gets diversified away by putting together different stocks from

different businesses.

Now even when you add many, many more securities,

many more stocks into the portfolio however, there's a limit right?

The amount of risk doesn' t change.

Right? Because that is the systematic risk that

can't be diversified away, okay?

So at some point all of the systematic risk is eliminated and

the systematic risk that affects all of the stocks remains.

What the graph also shows is how adding in international stocks to

the mix can help eliminate even more risk.

For the same dotted line in this graph shows you the extent

of risk that is being eliminated as you increase the number of stocks.

Including the international stocks in your portfolio now

helps you eliminate even more risk more quickly.

Now, given these concentrations, why would you want to diversify?

Well, why would you want to wear a helmet?

It's the same idea.

So let me recap.

So I tried to illustrate in many different ways to you,

the basic notion of diversification.

Which is, when assets are imperfectly correlated,

combining them into a portfolio reduces total variance.

The risk of the portfolio.

By eliminating the unsystematic or

the idiosyncratic risk, of the individual securities that are in the portfolio.

And what we are left with, in a well diversified portfolio is

the systematic risk that can be diversified away

Explore our Catalog

Join for free and get personalized recommendations, updates and offers.

Coursera provides universal access to the world’s best education, partnering with top universities and organizations to offer courses online.

© 2019 Coursera Inc. All rights reserved.

Download on the App Store

Get it on Google Play