The Analyst's Path

Mean, median and mode

The mean is the average of a set of values, and the median is the middle value once they are sorted. The mode is the value that appears most often, which suits categories such as ratings or sectors and is usually useless for returns. When returns are skewed the mean and median part company: a left tail pulls the mean below the median, and a right tail pushes it above.

2 min readPart of Returns, Statistical Measures and the Discipline of InferenceOpen in course mode

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The twenty quarterly returns of Worked example 3 average +2.67% and have a median of +4.20%. The mean sits 1.53 points below the median, and the reason is the single −21.40% quarter dragging it down. That relationship runs one way: a left tail pulls the mean below the median, a right tail pushes it above.

The mode is the value that appears most often, and on a continuous series it is usually useless. All twenty of these returns are distinct, so the series has no mode at all. Group them into ten-point buckets centred on zero and two buckets tie at eight observations each, while shifting every edge by five points leaves a single bucket of ten. The modal bucket is an artefact of where you drew the edges. Use the mode for categorical data: ratings, sectors, recommendation types. Leave it alone for returns.

What are quartiles and percentiles?

Quantiles divide a sorted series into equal-count pieces: quartiles into four, quintiles into five, deciles into ten, percentiles into a hundred. On the twenty-quarter series, the first quartile is −1.925%, the median +4.20%, the third quartile +8.725%, and the interquartile range 10.65 points. The first decile is −7.69% and the ninth is +12.75%.

One caution that costs people real money. There is no single definition of a sample quantile, and different software interpolates differently between the two straddling observations. The figures above use linear interpolation, which is what a spreadsheet's percentile function and the standard array libraries do by default. A different convention moves the first quartile by a few tenths of a point on a sample this small. Say which convention you used, or your risk report will not reconcile with the one it is compared against.

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What is a box plot?

A box plot is the quantile family drawn. The box runs from the first to the third quartile with a line at the median; the whiskers extend to the most extreme observations within 1.5 interquartile ranges of the box, here −1.925 − 1.5(10.65) = −17.90 and 8.725 + 1.5(10.65) = +24.70. Only one observation falls outside, the −21.40% quarter, and it is plotted as its own point. The construction tests nothing. It is a convention for making the eye stop on a value worth investigating.

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Part of the course

This page is part of Returns, Statistical Measures and the Discipline of Inference (QM1.04), in Phase 12: Finance Plus, AI and the quant-code track. The module's flashcards and its quiz are in the app.