What is 'Tail Risk'
Tail risk is a form of portfolio risk that arises when the possibility that an investment will move more than three standard deviations from the mean is greater than what is shown by a normal distribution. Tail risks include events that have a small probability of occurring and occur at the ends of a normal distribution curve.
BREAKING DOWN 'Tail Risk'
Traditional portfolio strategies typically follow the idea that market returns follow a normal distribution. However, the concept of tail risk suggests that the distribution of returns is not normal, but skewed, and has fatter tails. The fat tails indicate that there is a probability, which may be small, that an investment will move beyond three standard deviations. Distributions that are characterized by fat tails are often seen when looking at hedge fund returns.
Normal Distribution
When a portfolio of investments is put together, it is assumed that the distribution of returns will follow a normal distribution. Under this assumption, the probability that returns will move between the mean and three standard deviations, either positive or negative, is approximately 99.7%. This means that the probability of returns moving more than three standard deviations beyond the mean is 0.3%. The assumption that market returns follow a normal distribution is key to many financial models, such as Harry Markowitz's modern portfolio theory and the BlackScholes Merton option pricing model. However, this assumption does not properly reflect market returns and tail events have a large effect on market returns.
Distribution Tails
Stock market returns tend to follow a normal distribution that has excess kurtosis. Kurtosis is a statistical measure that indicates whether observed data follow a heavy or light tailed distribution in relation to the normal distribution. The normal distribution curve has a kurtosis equal to three, and therefore, if a security follows a distribution with kurtosis greater than three, it is said to have fat tails. A leptokurtic distribution, or heavy tailed distribution, depicts situations in which extreme outcomes have occurred more than expected. Therefore, securities that follow this distribution have experienced returns that have exceeded three standard deviations beyond the mean more than 0.3% of the observed outcomes.
Hedging Against Tail Risk
Although tail events that negatively impact portfolios are rare, they may have large negative returns. Therefore, investors should hedge against these events. Hedging against tail risk aims to enhance returns over the longterm, but investors must assume shortterm costs. Investors may look to diversify their portfolios to hedge against tail risk. For example, if an investor is long exchangetraded funds (ETFs) that track the Standard & Poor's 500 Index (S&P 500), the investor could hedge against tail risk by purchasing derivatives on the Chicago Board Options Exchange (CBOE) Volatility Index, which is inversely correlated to the S&P 500.

Normal Distribution
A probability distribution that plots all of its values in a ... 
Excess Kurtosis
Excess kurtosis describes a probability distribution with fat ... 
Leptokurtic
A statistical distribution where there are extreme points(or ... 
Long Tail
In business, long tail is a phrase coined by Chris Anderson, ... 
Probability Distribution
A statistical function that describes all the possible values ... 
Platykurtosis
Platykurtosis is a statistical term that refers to the relative ...

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