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Intermediate
Opportunity Set is a term used in portfolio theory referring to all possible combinations of portfolios drawn from every risky asset. Graphically it is depicted on a risk and return plot with risk on the x-axis and return on the y-axis. It takes the shape of a parabola.
Synonym: Feasible Set
Doc: The
Opportunity Set includes
all portfolio combinations of all variable assets.
Mia: So it's like counting stars. It only
works in theory. Right?
This video can be accessed in a new window/App , at the YouTube Channel or from below.
Opportunity Set definition for investment modeling (5:04)
The script includes two sections where we visualize and demonstrate the concept of the Opportunity Set.
We're sitting in Excel and this is a snippet from our boot camp course.
We cover all of the curves, lines and dots on this chart in eleven separate 4-minute videos, and Portfolio Theory (opens in a new window) from Quant 101 covers all of it, but you'd have to be willing to sit still for 28 minutes. I'll provide a link at the end.
Ok, let's keep it simple and focus on the Opportunity Set, which is also referred to as the Feasible Set. This is all part of Modern Portfolio Theory, or MPT, developed by Harry Markowitz in the 1950s.
The Opportunity Set is the set of green dots within this parabola, and the number of dots approaches infinity, because portfolio combinations approach infinity. I drew 10 portfolios. Also, imagine the bottom half of the parabola extending underneath as a mirror of the top side.
Think of each dot as a unique portfolio made up of holdings of stocks, bonds, real estate, coins, stamps, and really any variable asset in the world. This is theory and for academic theories to work, it is common for scholars to include a list of assumptions, meaning holding other variables constant. And here is a list of assumptions for MPT to review later.
To make this more practical, imagine simplifying this by narrowing all of the world's assets to just four large US stocks, Microsoft, eBay, Abbott Labs and Merck, as we did in the boot camp. Using liquid assets like stocks helps because they're priced daily, which makes calculating return and risk easier. Unlike stocks, a stamp collection isn't priced every day, so is difficult to calculate expected return and risk like in this example.
Speaking of that, on the chart, expected return is on the y-axis and expected risk is on the x-axis. How does the expected timeframe differ from historical timeframe? Well there's a lot to it, but basically it is common to use past observations and make adjustments to arrive at an expected timeframe, which is the focus of the boot camp.
Let's now demonstrate what's going on here. Let's say this dot corresponds with a portfolio constructed with 100% in eBay, and 0% in the other three stocks. Next, this dot could be 50% eBay and 50% Microsoft. This one could be 33% in each of eBay, Microsoft and Abbott Labs. And finally, this could be 25% in all four stocks.
We walk through the math elsewhere, but the takeaway should be that through diversificaiton, a portfolio of non-correlated assets has lower risk than the sum of the component stocks. It is called the Opportunity Set because that parabola represents all of the possible combinations of portfolios available, and you'd always prefer to be up and to the left, with higher return and lower risk.
Click box for answer.
True. This is also known as the efficient frontier.
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