The stock market can be highly volatile, with wide-ranging annual, quarterly, even daily swings of the Dow Jones Industrial Average. Although this volatility can present significant investment risk, when correctly harnessed, it can also generate solid returns for shrewd investors. Even when markets fluctuate, crash, or surge, there can be an opportunity.
- Stock market volatility is generally associated with investment risk; however, it may also be used to lock in superior returns.
- Volatility is most traditionally measured using the standard deviation, which indicates how tightly the price of a stock is clustered around the mean or moving average.
- Larger standard deviations point to higher dispersions of returns as well as greater investment risk.
Strictly defined, volatility is a measure of dispersion around the mean or average return of a security. Volatility can be measured using the standard deviation, which signals how tightly the price of a stock is grouped around the mean or moving average (MA). When prices are tightly bunched together, the standard deviation is small. When prices are widely spread apart, the standard deviation is large.
As described by modern portfolio theory (MPT), with securities, bigger standard deviations indicate higher dispersions of returns coupled with increased investment risk.
Market Performance and Volatility
In a 2020 report, Crestmont Research studied the historical relationship between stock market performance and volatility. For its analysis, Crestmont used the average range for each day to measure the volatility of the Standard & Poor's 500 Index (S&P 500). Their research found that higher volatility corresponds to a higher probability of a declining market, while lower volatility corresponds to a higher probability of a rising market. Investors can use this data on long-term stock market volatility to align their portfolios with the associated expected returns.
For example, as shown in the table below, when the average daily range in the S&P 500 is low (the first quartile 0 to 1%), the odds are high (about 70% monthly and 91% annually) that investors will enjoy gains of 1.5% monthly and 14.5% annually.
When the average daily range moves up to the fourth quartile (1.9 to 5%), there is a probability of a -0.8% loss for the month and a -5.1% loss for the year. The effects of volatility and risk are consistent across the spectrum.
Source: Crestmont Research
Factors Affecting Volatility
Regional and national economic factors, such as tax and interest rate policies, can significantly contribute to the directional change of the market and greatly influence volatility. For example, in many countries, when a central bank sets the short-term interest rates for overnight borrowing by banks, their stock markets react violently.
Changes in inflation trends, plus industry and sector factors, can also influence the long-term stock market trends and volatility. For example, a major weather event in a key oil-producing area can trigger increased oil prices, which in turn spikes the price of oil-related stocks.
Assessing Current Volatility in the Market
The Cboe Volatility Index (VIX) detects market volatility and measures investor risk, by calculating the implied volatility (IV) in the prices of a basket of put and call options on the S&P 500 Index. A high VIX reading marks periods of higher stock market volatility, while low readings mark periods of lower volatility. Generally speaking, when the VIX rises, the S&P 500 drops, which typically signals a good time to buy stocks.
The VIX is intended to be forward-looking, measuring the market's expected volatility over the next 30 days.
Using Options to Leverage Volatility
When volatility increases and markets panic, you can use options to take advantage of these extreme moves or to hedge your existing positions against severe losses. When volatility is high, both in terms of the broad market and in relative terms for a specific stock, traders who are bearish on the stock may buy puts on it based on the twin premises of “buy high, sell higher” and “the trend is your friend.”
For example, Netflix (NFLX) closed at $91.15 on January 27, 2016, a 20% decline year-to-date, after more than doubling in 2015. Traders who are bearish on the stock could buy a $90 put (i.e. strike price of $90) on the stock expiring in June 2016. The implied volatility of this put was 53% on January 27, 2016, and it was offered at $11.40. This means that Netflix would have to decline by $12.55 or 14% before the put position would become profitable.
This strategy is a simple but expensive one, so traders who want to reduce the cost of their long put position can either buy a further out-of-the-money put or can defray the cost of the long put position by adding a short put position at a lower price, a strategy known as a bear put spread. Continuing with the Netflix example, a trader could buy a June $80 put at $7.15, which is $4.25 or 37% cheaper than the $90 put. Or else the trader can construct a bear put spread by buying the $90 put at $11.40 and selling or writing the $80 put at $6.75 (note that the bid-ask for the June $80 put is $6.75 / $7.15), for a net cost of $4.65.
The Bottom Line
The higher level of volatility that comes with bear markets can directly impact portfolios while adding stress to investors, as they watch the value of their portfolios plummet. This often spurs investors to rebalance their portfolio weighting between stocks and bonds, by buying more stocks, as prices fall. In this way, market volatility offers a silver lining to investors, who capitalize on the situation.