30 years: Financial markets trader

Following an overview of the mean, the median and the mode. Abdulla focuses on the arithmetic mean to determine its value as an appropriate measure.

Following an overview of the mean, the median and the mode. Abdulla focuses on the arithmetic mean to determine its value as an appropriate measure.

4 mins 16 secs

Overview

The arithmetic mean is a simple yet important calculation. Using this calculation requires the cognisance of outliers and the best method to most accurately represent the data.

Key learning objectives:

Understand the arithmetic mean

Apply the arithmetic mean to finance

Summary#### What is the Arithmetic mean?

#### What is an Example?

Arithmetic means are very popular because they are easy to understand and to calculate. All you do to calculate them is to take a set of numbers, 10, 6, and 15 in this case, add them up, divide by the number of numbers you have, which is 3, and you’ve got your average of 10.33.

We’re going to conduct a survey here of the average salary of people who work in the financial markets. and we’ve almost completed the survey. We just need one more data point. The current average and median are 35,714 and 36,000 respectively. We don’t have a mode because all these numbers are unique.

Someone comes along and we ask them “would you mind telling us how much you earn?” and the reply is one million. This brings the average to 156,250. If we report that the average salary in the financial markets is around 156,000 a year, that’s going to come as a bit of a shock to 7 out of 8 people who work there because that’s nowhere near what they earn.

So we’ve got to look at maybe adjusting this measure or looking at one of the other measures. We don’t have a mode, so let’s just give ourselves a mode by changing a couple of these numbers, 2000 is the mode. We could as a matter of fact report that more people earn 2000 than any other salary, but as a measure of central tendency it clearly looks incorrect.

Because the numbers are so far apart we could get rid of the outliers and calculate a trimmed mean. A cynical way of looking at it is to say let’s get rid of the inconvenient numbers. Let’s remove the million, and the 2000, and that brings the mean back down. But then we have a closer look and say well actually the remaining 2,000 is now an outlying number so let’s get rid of that as well.

At some point you are going to ask yourselves a) how many of these do you need to take out? and b) by taking them out, are you actually making the numbers meaningless? The reason being, because you’re in danger of manipulating the data.

When we value financial assets, our valuations are heavily dependent on some sort of central expectation of future returns. Clearly, if we pick the wrong numbers, we’re going to get incorrect valuations. It is fair to say that although the arithmetic mean is simple to calculate and can very often be a useful measure in our calculations, we need to keep sight of other factors to inform our decision making.

Abdulla’s career in the financial markets started in 1990 when he entered the trading floor of the London International Financial Futures Exchange, LIFFE, and qualified as a pit trader in equity and equity index options. In 1996, Abdulla became a trainer for regulatory qualifications and then for non-exam courses, primarily covering all major financial products.

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