In a previous post, we showed that the spot volatility index, VIX, has a strong mean reverting tendency. In this follow-up installment we’re going to further investigate the mean reverting properties of the VIX. Our primary goal is to use this study in order to aid options traders in positioning and/or hedging their portfolios.
To do so, we first calculate the returns of the VIX index. We then determine the quantiles of the return distribution. The table below summarizes the results.
We next calculate the returns of the VIX after a significant volatility spike. We choose round-number spikes of 3% and 6%, which roughly correspond to the 75% and 85% quantiles, respectively. Finally, we count the numbers of occurrences of negative VIX returns, i.e. instances where it decreases to below its initial value before the spike.
Tables below present the numbers of occurrences 1, 5, 10 and 20 days out. As in a previous study, we divide the volatility environment into 2 regimes: low (VIX<=20) and high (VIX>20). We used data from January 1990 to December 2017.
We observe the followings,
The implication of this study is that
Learn More Here: VIX Mean Reversion After a Volatility Spike
The violent sell off in the equity markets during the last 2 months reminds us of the importance of risk management. Some traders, investors wanted to eliminate the risks completely. However, we note that risks cannot be eliminated, only managed.
In this video, Anthony Carfang of Treasury Strategies testifies before the U.S. House Committee on Financial Services. The Subcommittee on Capital Markets and Government-Sponsored Enterprises conducted the hearing on February 24, 2016. First five minutes are Carfang's opening statement. That is followed by questions to him from members of the committee.
He stated that risk can only be transferred, but cannot be suppressed.
Similarly, Perry Kaufman made the same statement in this video. This is an interview conducted by Alex Gerchik for his Russian audience.
Click here for more interviews.
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