Leaving PIMCO.com

You are now leaving the PIMCO website.

Skip to Main Content
Education

Manage Risks Using Tail-Risk Hedging

Allocating across a diversified range of asset classes can help manage overall portfolio risk. From time to time, however, extreme market shocks may trigger unexpectedly widespread declines in asset values, adversely affecting a portfolio strategy. Understanding tail risk can help investors prepare for the unpredictable.

What you will learn

  • What Tail risk is and the impact on a portfolio
  • The frequency of left tail events
  • How tail risk hedging can help to mitigate risk and enhance potential returns

What is tail risk?

The term “tails” refers to the end portions of distribution curves – the bell-shaped diagrams that show statistical probabilities for a variety of outcomes. In the case of investing, bell curves plot the likelihood of achieving different investment returns over a specified period.

As shown in the diagram below, the most probable returns are concentrated in a bulge near the center, which is the average expected return, or the mean. The less probable, more extreme returns, on the other hand, taper away towards the left and right edges. The tails on the far left and far right represent the least likely, most extreme outcomes with lowest returns on the left and highest returns on the right. For long-term investors, the ideal portfolio strategy will seek to minimize left tail risk without curtailing the right tail growth potential.

The figure shows two bell-shaped curves on a line graph. One curve is a normal distribution, and is taller and wider than another curve showing a “fat-tail” distribution. The base of the normal distribution is lower than that of the fat-tail distribution. The Y-axis shows the frequency of events, the X-axis shows returns. The most probable returns are concentrated in a bulge near the center for each curve, which is the average expected return, marked by a vertically dashed line. Parts of the curves to the left of the that line represent losses, and those plotted to the right indicate gains. On the far left, the graph also notes how the fat-tail distribution curve has a higher probability of big losses, with the base of the curve higher than that of normal distribution.
For Illustrative Purposes Only
Left-tail events are more frequent than investors may realize

The diagram depicts a horizontal arrow showing a timeline of left-tail events from 1982 to 2020, running from left to right. On the far left, the timeline starts with the Mexican default in 1982. Moving rightward, a series of other events follow: Black Monday in 1987; the savings and loan and Latin American debt crises from 1989 to 1991; the European monetary system crisis from 1992 to 1993; the Mexican peso crisis from 1994 to 1995; the Asian financial crisis from 1997 to 1998; the Argentine default, dot-com bust and Enron collapse in 2001 and 2002; the global financial crisis from 2007 to 2009; the European debt crisis, Japanese earthquake and tsunami in 2011; the Fed-trigger taper tantrum in 2013; and the COVID-19 epidemic in 2020.
Source: PIMCO, actual incidents (1982-2020)

Glossary of Key Investment Terms

Tell us a little about you to help us personalize the site to your needs.

Terms and Conditions

Please read and acknowledge the following terms and conditions:
{{!-- Populated by JSON --}}
Select Your Location

Americas

Asia Pacific

Europe, Middle East & Africa

  • The flag of Europe Europe
Back to top