What Does Platykurtic Mean?
The term "platykurtic" refers to a statistical distribution in which the excess kurtosis value is negative. For this reason, a platykurtic distribution will have thinner tails than a normal distribution, resulting in fewer extreme positive or negative events. The opposite of a platykurtic distribution is a leptokurtic distribution, in which excess kurtosis is positive.
Investors will consider which statistical distributions are associated with different types of investments when deciding where to invest. More risk-averse investors might prefer assets and markets with platykurtic distributions because those assets are less likely to produce extreme results.
- Platykurtic distributions are those with negative excess kurtosis.
- They have a lower likelihood of extreme events as compared to a normal distribution.
- Risk-averse investors can focus on investments whose returns follow a platykurtic distribution, to minimize the risk of large negative events.
Understanding Platykurtic Distributions
There are three basic kinds of statistical distributions: leptokurtic, mesokurtic, and platykurtic. These distributions differ depending on their amount of excess kurtosis, which relates to the probability of extreme positive or negative events. The normal distribution, which is a type of mesokurtic distribution, has a kurtosis of three. Therefore, distributions with kurtosis greater than three are said to have "positive excess kurtosis," while those with kurtosis of less than three are said to have "negative excess kurtosis."
While mesokurtic distributions have kurtosis of three, leptokurtic and platykurtic distributions have positive and negative excess kurtosis, respectively. Therefore, leptokurtic distributions have a relatively high probability of extreme events, whereas the opposite is true for platykurtic distributions.
The following figures show charts of these three types of distributions, all with the same standard deviation. Although the figure on the left does not reveal much of the differences between these distributions' tails, the figure on the right gives a clearer view by plotting the quantiles of the distributions against each-other. This technique is known as a quantile-quantile plot, or "Q-Q" for short.
Most investors believe that equity market returns more closely resemble a leptokurtic distribution than a platykurtic one. That is, while most returns are likely to be similar to the average return for the market as a whole, returns will occasionally deviate widely from the mean. These dramatic and unpredictable events, sometimes referred to as "black swans," are less likely to occur in markets that are platykurtic.
Real World Example of a Platykurtic Distribution
In 2011, Morningstar published a research paper that featured information on the excess kurtosis levels of different types of assets, as observed between Feb. 1994 and June 2011. The list included a wide range of investments, from U.S. and international equities to real estate, commodities, cash, and bonds.
The levels of excess kurtosis were similarly varied. On the low end of the spectrum were cash and international bonds, which had excess kurtosis of -1.43 and 0.58, respectively. On the other end of the spectrum were U.S. high-yield bonds and hedge-fund arbitrage strategies, offering excess kurtosis of 9.33 and 22.59.
An investor looking at this data could quickly discern what kinds of assets they wish to invest in, given their tolerance for potential black swan events. Risk-averse investors who want to minimize the likelihood of extreme events could focus on low-kurtosis investments, while investors more comfortable with extreme events could focus on high-kurtosis ones.
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