by WWM | Feb 24, 2017 | Risk
Today we begin to look at investment risk in greater detail.
This expands on our preliminary discussion in Defining Investment Risk.
Investment Risk Revisited
Previously we defined investment risk as a speculative risk. As such, investment risks provide the possibility of incurring a loss, breaking even, or profiting. This differs from pure risks where you cannot profit from the risk.
I wrote that investment risk is the probability that the actual returns on an investment will differ from the expected returns. The higher the probability of a different result, the greater the risk. The lower the probability of a different result (or the greater the certainty of the same result), the lower the risk.
That may mean a loss like with a pure risk. A gain, but less than was expected. Or it could mean a bigger return than anticipated. So a risk, yes. But one that may bring rewards.
Investment risk is simply the level of volatility of returns. Not a risk of loss. Important to remember.
Investment Risk in a Graph
For those of you poor souls who have taken statistics courses, investment risk is typically viewed from a normal distribution perspective. The graph below is an example of a normal distribution curve.
Not the easiest concept to explain in a blog post (augmented by the fact that I am not a statistics professor), so we shall try and keep this basic.
Outside of a few key concepts, I intend to keep the statistics and formulae at a minimum. Not fun to read, nor usually necessary to understand the principles. But I think it worthwhile for risk as it is calculated via standard deviations.
Like head-ache medication though, I caution you not to read this post while driving or operating heavy equipment. The following may just put you to sleep.
Normal Distribution
You may also recognize the graph above as a Bell curve, so named for its shape. Or you may have heard it called a Gaussian distribution; named after Carl Friedrich Gauss.
Within a normal distribution, historic outcomes are placed on the graph and a distribution similar to the one above typically results.
The “Y” axis represents the actual outcomes. The more results at a certain level, the higher the curve. The bottom “X” axis represents the distance from the average (i.e. mean) result.
It is called normal because the outcomes are symmetric in nature. You can see this by the equal spread of outcomes on both sides of the curve. Note how the tails on both the left and right sides of the curve are similar in distribution.
If the distribution was not normal, but rather skewed, one end of the curve would be longer and more pronounced than the other end.
The important thing to note with a normal distribution is the way the Bell curve looks. Most of the actual results cluster relatively close to the middle of graph. The higher the curve, the more results are at that level. As you move farther from the middle, the number of results decreases. This creates the diminishing tails at either end.
In the real world, normal distributions are common. For example, the average height of US men is 5’10”. Most American men are roughly this height. The proportion taller or shorter will continue to diminish as you move away from this average.
And it should make sense that the larger the sample size, the more appropriate the results. If you sample 3 men, you may not find an average of 5’10”. If you sample 300,000, you will get a realistic average. The same holds true with investing. The smaller the sample size or time period, the more questionable the result.
Mean
In investing, the mean is the expected return on the investment. This is represented by the average result on the above normal distribution curve, located at position 0.
The expected return may be calculated based on historical data, theoretical probability models, experience, and professional judgement. Perhaps the expected return will be 2%, 12%, 22%, etc. The 0 midpoint on the Bell curve simply represents the consensus expected return.
As most investments carry risk, actual results may differ from expected outcomes. Actual results usually lie somewhere to the left or right of the expected return. That said, there is no reason that they cannot fall exactly on the mean.
Note that you may encounter “median” as an average. It is not. A median return is one that simply takes all values, sorts them in ascending order, and determines the middle value. For example, you have 5 returns. 3, 4, 5, 16, 22. Median just puts the numbers in order and finds the midpoint. In this example, 5. There are 2 outcomes to the left, 2 to the right.
Calculating the arithmetic mean, you add up all the values and divide by the number of outcomes. In this example, the arithmetic mean is 10. Significantly different than the median.
And no, do not use median to assess investments. Median has some value, but use mean if possible.
Note that arithmetic means often have their own flaws. We will explore those and the use of geometric means later.
Investment Risk
So we know that the expected return of an investment is the mean, or average, in a normal distribution. We also know that the actual results will fall on either side of the mean.
But what does that tell us about the investment risk?
The investment risk is the variability of the actual returns around the mean. In English, simply how far away from the average return is the actual result. The average is 0, the high point on curve.
As you can see above, actual results may be both greater or less than the expected return. So investment risk applies to the possibility of higher than expected returns, not simply lower than expected ones. However, investors are usually more concerned with results to the left of the curve. That is, where the actual performance is less than the expected returns.
The risk of an investment is determined by the variability, also known as volatility, of the actual returns around the expected return. Volatility is the amount of fluctuation in the actual returns from the expected returns. The greater the degree of volatility, the greater the risk of the investment.
The tighter the probability distribution of the expected future returns around the mean, the greater the certainty of the returns. As the certainty of the return increases (i.e. the less potential difference between the actual and expected result), the smaller the amount of uncertainty or risk. In a normal distribution curve, the vast majority of actual results would amass extremely close to the mean. The bell would be quite high and narrow in width.
For results with high variability, the actual returns would be disbursed much farther from the mean. This would cause the bell shape to be shorter in height and much wider in width.
An Example of Investment Risk
For example, investment “A” has an expected return of 5% and the actual returns over the last 6 years were 4%, 6%, 5%, 5%, 6%, 4%. The distribution around the 5% mean is quite tight. You would be right to expect the return over the next year to be close to the expected outcome. The risk that the return will not be close to 5% is low.
Investment “B” also has an expected return of 5%. However, its performance for the last 6 years was 2%, 12%, -4%, 15%, -3%, 8%. The actual results are significantly different from the expected result. You should be concerned that the actual result for the upcoming year will not be close to the expected return of 5%.
Here you have two investments with the same expected return. Yet the certainty of earning 5% on A is pretty high for next year while there is very little guarantee as to what B returns. It may be 5%. Or it may be significantly different than 5%. Even experiencing a loss. A’s expected future return is pretty certain. B’s expected return will be very volatile.
That is investment risk.
So how does one differentiate between the two investments?
by WWM | Feb 20, 2017 | Risk
What is investment risk?
Investment risk is a form of speculative risk. Speculative risks differ from pure risks in that with a speculative risk there is a possibility of gain, not just loss or no change in status.
But what does that mean?
Is Investing a Gamble?
Gambling, like investing, is a speculative risk.
Perhaps you play poker with friends monthly. Sometimes you lose, occasionally you win, and a few times you may break even. But when the evening begins you do not know what the outcome will be.
Some authors claim the opposite is also true. That speculative risks are merely gambles. By extension, investing then must also be a gamble.
I do not agree with that viewpoint. Here are a couple of reasons why.
Beating the Odds
First, when visiting Las Vegas, there are steps that can be taken to improve your probability of success. You can study effective gambling strategies; avoid alcohol, emotional swings and sleep deprivation; only play games with the best odds.
However, there is a reason that Las Vegas is profitable. The odds are always in the house’s favour. In the short run one may profit. But over the long haul the probability of loss is certain for gamblers.
You can also improve your probability of success in investing. Education and experience will help you become a better investor. Taking a disciplined approach that eschews emotion from decision-making (or as Alan Greenspan would say, avoiding “irrational exuberance”) will also improve your chance of success. You may decide to only invest in assets with the “best odds” as well.
Despite media stories, the markets are not a casino. Investments are not games of chance that were expressly created to provide the casino with a built in advantage. Learning to properly invest is not simple, but it is possible to “beat the house” over the long run.
Potential Certainty of Returns
Secondly, when you enter the casino with $1000 you have no idea what you will leave with at night’s end. Depending on your luck and skill, you could win $1 million, break-even, or (more likely) go home with nothing except a few free drinks and a shrimp cocktail for your efforts. And that is not factoring in a possible trip or two to the conveniently located Automated Teller Machines.
Again, investing is different. I can list numerous investments where the outcome is known with (almost) 100% certainty. If you invest $1000 in a 1 year 5% Guaranteed Investment Certificate offered by your bank, at the end of the term you will receive $1050. Or you could invest $975.90 in a 6 month US Treasury Bill (T-Bill) yielding 5% and be confident of receiving $1000 upon maturity. Unless your bank or the US government defaults on their debts, your investment is completely safe.
While it is fair to say that investment risk is not gambling type risk, what is it then?
Investment Risk Differs Between Individuals
Investment risk is difficult to pin down. It is a concept that differs from individual to individual. What I think is risky may not be to someone else. And vice-versa. One’s personality, experiences, and personal circumstances all contribute to how a person perceives risk.
The World of Dickens
On one end of the traditional risk spectrum is the stereotypical widow or orphan. Not the ones with the enormous trust funds, but those from the world of Charles Dickens.
This group has very little money to begin with so preservation of capital is paramount. They invest in the hope of generating enough positive cash flow to buy their daily gruel. If you ask them about risk, they will say anything that could possibly reduce their original capital is risky.
The widow would definitely not want to double down at the blackjack table. She would also be uncomfortable investing in common stocks, corporate bonds, or real estate; investments with any uncertainty in repayment of the original capital.
This investor is only interested in guaranteed investments where her money is secure.
Versus the Wolves of Wall Street
On the other end of the risk spectrum is the hot shot young Wall Street finance expert.
If you ask about risk, you will get a long convoluted response that probably makes little, if any, sense. One involving the Greek alphabet (Alpha, Beta), strange acronyms (CAPM, SML), fun mathematical expressions (normal distributions, variability of returns, standard deviations), and crazy men (Sharpe, Treynor).
Like the lyrics from a pop song, the phrase “variability of returns” would endlessly echo in your head.
At the end of the explanation, you would probably back slowly from the room, grab a stiff drink, and return to the widows and orphans. At least they made some sense.
While the concept of investment risk is unique to each person, may I suggest that the average investor take a view somewhere in between Dickensian widows and Wolf of Wall Street financial experts. Closer to the expert’s view of the world would be my recommendation, but each person must be comfortable with their own risk profile. If not, there will be many sleepless nights filled with angst and Pepto-Bismol for your growing ulcer.
Investment Risk Defined
In looking at risk from the middle of the spectrum, investment risk is simply the probability that the actual return on an investment will be different than the expected return.
The greater the probability that the returns will differ, the greater the risk. The greater the certainty that the expected result will actually transpire, the lesser the risk. This is where the phrase “variability of returns” arises and we will look at it in detail later.
Sounds complicated. But when we get through our discussion of risk and returns, you will see it is not that bad.
A Simple Example
Let us use a simple example. If you invest $975.90 in a 6 month, 5% US T-Bill you will receive $1000.00 at maturity. The US government issues and guarantees payment on T-Bills. Unless you believe that the US government will default on their debts you are certain to receive the full amount.
In terms of the above definition, the probability that the actual return of capital ($1000.00) will be different than the expected return ($1000.00) is zero. The actual and expected returns ($24.10) are identical. You know the actual outcome with 100% certainty.
You expect to receive $1000. You actually receive exactly what you expected. Zero risk as actual equals expected.
For this reason the interest rate offered on short term US T-Bills is commonly considered the risk-free rate of return. There is no risk that the expected and actual returns will be different. The investment itself is considered to be risk-free.
Note this assumes that governments pay their debts. This assumption keeps eroding over time.
What about a common share of ABC Inc? The current share price is $9.76. Professional analysts agree, on average, that the price should increase to $11 at the end of 6 months. By investing $975.90 into ABC and not US T-Bills, you expect to receive $1100.00 after 6 months. An improvement from the $1000.00 you would receive from the T-Bill investment.
You invest your money into ABC shares, then promptly fly to Peru to spend the 6 months studying Incan civilization in the Andes. Far from wi-fi or cell phone connectivity. But thinking about that extra profit you are earning.
At the end of the 6 months you return home and go to sell the shares, fully expecting to enjoy that extra $100 in profit. Imagine your surprise when you find that the share price is now trading at $9.00 and you have actually lost money on the transaction. In this case the expected return ($1100.00) was significantly different than the actual return ($900.00). That is the impact of investment risk.
You expect to receive $1100. You actually receive a different amount than you expected. The fact that you did not receive exactly as expected represents the riskiness of the investment.
Note that it has nothing to do with receiving less ($900) than you expected ($1100) or initially invested ($976). Had you received $1500, it is still different than what you expected, so still represents risk.
The investment risk is simply the difference between what you expected to receive versus what you actually received.
Note that the higher the investment risk (measured by standard deviation), the greater chance the actual return will differ from the expected in higher levels. Hence the use of the term “volatility” for investment risk. Greater the risk, the more volatile the asset. The less risk, the more stable the expected returns will be over time.
This is also quite a real example. If any of you have ever invested in a stock based on analysts’ recommendations and/or price estimates, you will understand the percentage time they hit the mark. Seldom if ever.
We will review the relationship between risk and return in detail as it is critical to understanding the investment process.
For today though, I ask you to think about the following scenario.
How Do You View Investment Risk?
You have $1000.00 to invest and two options are available. Unless stated otherwise, we will always ignore costs in simple examples (e.g. transaction costs, taxes, management fees). Something never to ignore in real life.
You can invest in a 1 year US Government Bond yielding 5%. At the end of the term you will receive $1050.00 with 100% certainty.
Or you can invest in ABC, trading at $10 per share. Expert consensus is that the share price will rise to $10.50 in 1 year. This will provide the same expected 5% return as with the US Government Bond.
But ABC is not the US government. Also, other factors may be at play that impact the certainty of the price forecasts. The probability of actually receiving the expected return is less than 100%. You may receive more, you may receive less. It is impossible to predict with certainty.
Which would you choose for your investment? Many investors would choose the more certain return. Especially given that the expected returns are identical.
Investing 101
That tends to be an investment axiom.
If two investments offer identical expected returns, investors normally choose the lower risk asset. Conversely, if two investments offer the same level of risk, then investors will choose the asset with the higher expected return.
Investor Specific Risk Tolerance
But what if the experts’ consensus on ABC increased to $12 per share in a year? Does the higher potential return make up for the greater risk of ABC versus the US bond?
If not, how about a consensus price of $14 in one year? Or perhaps $16? What about if the consensus is only $8?
At what price point does the higher risk of ABC versus the risk-free bond make it a worthwhile gamble/investment?
What if there was no average consensus? Rather, there is a 25% probability the stock falls to $8, a 25% probability that it rises to $16, and a 50% probability that it rises to $12?
Does this new scenario change your investment decision?
How you answer these questions helps define your individual risk tolerance.
As for the “correct” answer, that is unique to the investor. And the level of investment risk assigned to ABC.
We will consider these examples when we get to the risk-return discussion.
Next up though, the two components of investment risk and factors that influence them.