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Talking Volatility: Magnitude vs. Percentage
Unfortunately, as human beings, we are prone to behavioral tendencies and mental shortcuts that do not always work in our favor.
The pandemic snuck up on investors. On December 31, 2019, the government in Wuhan, China, confirmed that dozens of people were being treated for a new virus. China reported its first death from the virus on January 11, 2020, the World Health Organization declared a global emergency on January 30, and the first death outside China occurred in the Philippines on February 1. Financial markets took this news in stride. The UK’s FTSE 100 fell 1%, for example, from December 31, 2019, to February 20, 2020, and the S&P 500 rose 5% over the same interval. Things changed quickly, however, after that. Over the next month, stock indices around the world plunged, with both the S&P 500 and the FTSE 100 dropping by a third.
The behavior of the Cboe Volatility Index (VIX) — the index that measures the expected volatility of the S&P 500 index over the next 30 days — is particularly interesting. The index started 2020 at about 14, below its long run average of roughly 18.5, and it was still close to 14 on February 20. Then it exploded. The expected volatility of the S&P 500 rose by a factor of six in less than a month, to a high of over 85 on March 18.
Why did volatility go up so much? The short answer is, because there was so much to learn. This was a new virus that caused a new and potentially fatal disease. In early March, we did not know how contagious or lethal it was, who was most vulnerable, what one should do to avoid it, whether masks were an effective deterrent, or whether it would go away in the summer. Every day brought new information — some accurate, some not so accurate — that investors tried to interpret and project into the future. When the news was better than expected, prices would shoot up. And when it was worse than expected, prices would plummet.
With all this uncertainty, why didn’t everyone sell? Because no one can sell if no one is willing to buy. Market prices are constantly adjusting to keep the number of shares people want to sell in line with the number people want to buy. After bad news about future cash flows, many investors would have been happy to sell at the old prices, but few investors wanted to buy there. Prices had to drop to attract buyers. And after good news, prices had to rise to attract sellers. Prices fell by one-third from February 20 to March 23 because, overall, the news was bad.
The high volatility in February and March 2020 almost certainly pushed prices down as well. The evidence is not conclusive about the effect of such great uncertainty, because this high level of volatility is rare and because it obscures signals about expected returns, but both logic and experience suggest that expected returns go up when risk rises. Since the expected return is also the discount rate, a higher expected return lowers the present value of the future expected cash flows, which drives prices down further. In fact, the S&P index hit its low for 2020 only five days after the VIX hit its high.
In short, in the early months of the pandemic, financial markets struggled to understand how COVID-19 would affect the economy, and volatility went through the roof. Prices dropped by about one-third, both because the overall news was bad and, almost certainly, because buyers demanded higher expected returns as compensation for their higher risk.
Stockholders who did not sell in February and March would have been rewarded for their fortitude. Although the market remained turbulent, with the VIX in the upper 20s through June and above 20 for the rest of the year, uncertainty gradually declined and many publicly traded firms prospered.
Presumably driven by higher expected cash flows and lower required returns, the S&P 500 rose 70% from the low on March 23, 2020, to December 31, 2020. Investors who weathered the pandemic’s turbulent impact for all of 2020 would have been rewarded with a cumulative return of 18% on the S&P 500 and 24% on the broad US market.*
This post was prepared and first distributed by Dimensional Fund Advisors.
*US market is defined as Fama/French Total US Market Research Index. The performance reflects the growth of a hypothetical $1 investment. Index data presented is hypothetical and assumes reinvestment of income and no transaction costs or taxes.
Ken French is a member of the Board of Directors of the general partner of, and provides consulting services to, Dimensional Fund Advisors LP.
Fama/French Total US Market Research Index: The value-weighted US market index is constructed every month, using all issues listed on the NYSE, AMEX, or Nasdaq with available outstanding shares and valid prices for that month and the month before. Exclusions: American depositary receipts. Sources: CRSP for value-weighted US market return. Rebalancing: Monthly. Dividends: Reinvested in the paying company until the portfolio is rebalanced.
S&P data © 2021 S&P Dow Jones Indices LLC, a division of S&P Global. All rights reserved.
Past performance is no guarantee of future results. Indices are not available for direct investment. Their performance does not reflect the expenses associated with management of an actual portfolio.
Shore Point Advisors is an investment adviser located in Brielle, New Jersey. Shore Point Advisors is registered with the Securities and Exchange Commission (SEC). Registration of an investment adviser does not imply any specific level of skill or training and does not constitute an endorsement of the firm by the Commission. Shore Point Advisors only transacts business in states in which it is properly registered or is excluded or exempted from registration. Insurance products and services are offered through JCL Financial, LLC (“JCL”). Shore Point Advisors and JCL are affiliated entities.
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