While there aren’t ‘do-overs’ in investing - you cannot go back in time to a particular point, take a different action, and then play forward events as they transpired back to the present - we can still learn a lot from history.

Think of a few examples of big downdrafts:

• In March 2020 much of the world did not know what was going to happen next, as there wasn’t a clear playbook for how to deal with a global pandemic. Developed markets were locking down and it just wasn’t clear what the effect would be.
• In February-March 2009, in the U.S., it wasn’t impossible to think that the U.S. government would take a significant ownership stake in many of the largest banks due to the Global Financial Crisis.

Many who experienced the lows of March 2009 did not allocate to equities during the worst of this period. But they did live through the results that followed and wished they had. It’s possible that they even anticipated that the next time a similar drop occurred, they would act differently.

But did they, come March 2020?

These drops are informative in that they are so distinct from each other, and yet they are also similar in the degree of fear and uncertainty. Allocating to risky assets in a period of fear and uncertainty when it does not seem possible to know what will happen next will never be easy. If the picture was clearer, the downdraft would not be as severe.

If we cannot be greedy when others are fearful, what can we do?

Even if we cannot force ourselves to allocate during peak uncertainty, there are still potential opportunities.

Sometimes, there can be big downdrafts within a particular market segment. It may be easier to add risk into these areas because other parts of your overall asset allocation may be doing well and taking some of the pressure off making a decision.

Software-focused cloud computing companies in March of 2022 could be one such market segment.

We look here at one example of a 'cloud index', the BVP Nasdaq Emerging Cloud Index, whose constituents can be used to make certain inferences about this market. Figure 1 can be viewed as a veritable ‘time-machine’, in that investors can think of cloud companies exhibiting share prices at levels similar to where they were at a certain period back into the past.

In effect, the recent correction has reset the share prices in some cases to levels lower than before the start of the global pandemic.

As we look at the period that starts from 31 December2019, there are certain companies trading higher on that day than in March 2022. In Figure 1, their weight within the BVP Nasdaq Emerging Cloud Index comprises 12.7% as of 18 March 2022. Overall, 56.3% of the index is now allocated to companies that even back in 2019-2020 had share prices at higher levels than on 18 March 2022. While more than a quarter of portfolio weight is in companies that only went public in 2021, i.e. they did not have any price history in 2020. All of those companies but one, i.e. 24.7% portfolio weight, had their closing level on the first day of trading above their closing level on 18 March 2022¹. Wix.com and Fastly are examples of companies trading at levels lower than before the global lockdowns and before there was a such thing as a ‘stay-at-home’ stock. Wix.com had revenues of $761 million in 2019, and $1.27 billion in 2021. Revenue growth may be decelerating, but it is still around 30%. Fastly has experienced bigger challenges. Its 2019 revenue was $200 million, and $354 million last year. Revenue growth guidance has been crushed—but it’s still performing around a 20% figure year-over-year. Fastly is involved in ‘content-delivery-networks’, and while it wouldn’t be immune from idiosyncratic risks to its own execution, there is little question that consumers and businesses want more content at a higher quality and speed over the internet—not less.

Twilio and Shopify have been two of the strongest and most well-run businesses within the cloud computing market, and share prices are now back to May 2020 levels. In 2020, Shopify had revenue of $2.929 billion, whereas in 2021 revenue had grown to $4.612 billion. Shopify’s unique privilege for doing so well in helping small business owners run online storefronts is ending up on the radar screen of Amazon.com—certainly a challenge. Twilio earned $1.762 billion in revenue during 2020, growing to $2.842 billion in 2021. It is among the best-in-class companies that help software developers add communications capabilities to their applications, and it’s important to ask ourselves—are we predicting a world where we use less applications?

Figure 1: A time machine for cloud computing companies

Source: WisdomTree, Bloomberg. Period from 31 December 2019 to 18 March 2022. Based on closing prices adjusted for corporate actions for the constituents of the BVP Nasdaq Emerging Cloud Index.

Index weights are as of 18 March 2022. You cannot invest directly in an index.

Historical performance is not an indication of future performance and any investments may go down in value.

Investors wanted better valuations (a correction) and it has arrived

WisdomTree has focused on cloud computing as an important megatrend since September 2019. Few realised the tailwind to many of these stocks that societal behaviour during the pandemic would offer, but history shows the returns of 2020 were, in a word, incredible.

Firms were trading at triple digit ratios of enterprise value to sales—meaning greater than 100x. Many discussions recognised the value of what the businesses were providing, but investors were sceptical that the growth rates could be maintained. If valuations could get more reasonable, there could be greater interest.

As we look at the space in March 2022, this correction appears to have come.

It is now much harder to find companies trading at enterprise value to sales ratios above 100x. While it is impossible to know if the current valuations properly reflect all known risks today, an investor facing cloud computing today likely faces less risk of overvaluation than they did in November 2021.

¹Source for revenue data in bullets: www.wsj.com, specifically the financial statement data reported for the individual companies.

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