Our perspective on investing in Innovation by Mikhail Zverev

“Embrace complexity but don’t limit yourself to moon-shots”

Innovation is an opportunity for global equity investors

There are countless examples of businesses applying innovation and generating wealth in their existing industries and even creating entirely new markets.

As technology advances, the pace of innovation and its adoption is accelerating, changing the way entire industries operate. In our highly connected world these changes are not limited to single markets or geographies but rapidly spread, often creating enormous value.

While this fact is well understood it has rarely been systematically exploited by investors and it is our belief that focusing directly on this process presents an exciting opportunity for global equity investors.

Our investment experience and a growing body of academic research suggests that the stock market is not efficient in pricing in the impact of innovation on companies and their ecosystems. We aim to benefit investors from this inefficiency.

Innovation brings about change, uncertainty and complexity and creates impact across sectors - investors are often biased against these factors in their investment approach and are not always optimally equipped and organised to identify, assess, and therefore price that impact.

Academic research and empirical evidence demonstrate that it represents an area of significant market inefficiency.  Researchers observe that the stock market "consistently misvalues innovation" and "appears to under-react to the information contained in R&D investments", that it is possible to "pick winners and losers solely based on public information", creating an opportunity for active stock pickers*.

What’s more, the academic work explicitly links this market inefficiency to fundamental investor behavioural biases, specifically citing aversion to uncertainty and complexity, and analytical and attention span constraints*. Since these behavioural traits are consistently observed over most time periods this suggests that the inefficiency opportunity is likely to persist for an extended period of time. It is our belief that by focusing directly on the impact of innovation on companies and their ecosystems, by embracing the analytical complexity, there is a clear outperformance opportunity.

Investors should look at broader range of innovation stocks, not only high growth / high risk segment of the market

Investing in “leading lights” of innovation, often fast-growing companies that do not yet generate cash flows or profits, often “concept stocks”, has been very rewarding in the past 10 years, despite the sharp sell-off in the past 12 months.

However, if we examine the underlying drivers, we can see that this performance was not just driven by fundamental progress in those innovative companies. A significant proportion came from increased investor risk and growth appetites, which was in turn linked to interest rate expectations.

Because high growth, low profitability companies have most of their projected cash flows far into the future, the low interest rate environment made these stocks more valuable, often beyond the fundamental merit of their underlying businesses. Momentum and bullish investor sentiment further amplified these gains.

Stock market participants often referred to these as “long duration” assets, comparing high growth, low profit stocks to a “duration trade”, or bet on "lower-for-longer" interest rates. This is starkly illustrated by examining the outperformance of growth stocks (represented by S&P 500 growth sector against broader S&P 500 index) in comparison to interest rate expectations (represented by US 10-year treasury yield). Plotted against each other these reveal how much of the historic outperformance was explained by interest rates and sentiment.

Chart below shows how correlated growth stocks outperformance had been with interest rate expectations:

Source: Bloomberg

Risk here is not just stock volatility and style rotation. We have seen a rapid reversal of growth stocks over the past 12 months, but many would argue that it is just a matter of time horizon until long term fundamentals shine through. However, another risk factor is the fundamental viability of these high growth / low profit companies.

Such companies often do not generate enough cash flow to sustain their growth, instead relying on open and generous capital markets for repeated funding.

Near-free capital available to such companies in recent years enabled a lot more of such funding than has been the long-term trend.

As one illustration of this, the last several years have seen record amounts of IPO funding, more recently even in the shape of SPACs (which have easier disclosure terms and enabled companies to be more promotional in telling their stories). This enabled and sustained the funding of concepts and ideas that would have been much harder to finance in a more normalised market environment.

Source: NASDAQ

The coming decade is likely to be characterised by higher macro and geopolitical uncertainty, higher inflation and higher interest rate expectations. The consequent increase in the cost of capital will mean that the flood of money that has supported these high growth / low profit companies will provide less buoyancy going forward.

This does not negate the point that investing in innovation is a valuable source of outperformance opportunity. However, we believe it will be essential for investors to take a broader look at where innovation is mis-priced and to back not only “moon shots” but also more established, higher quality businesses in order to capture more optimal asymmetry of returns and provide a better balance of risk in their portfolios.

This broader approach to investing in innovation should not come at the expense of avoiding complexity. As the academic evidence suggests, complexity of innovation and its impact is the origin of the market inefficiency and therefore of the outperformance opportunity.

A well-known investment adage “do not invest in things you don’t understand” is often interpreted as a reason for avoiding complexity. However, our view is different - we believe investors should be selectively embracing complexity in order to understand it and develop non-consensus insights.

We see that some of the biggest structural changes in business and society demand innovative and often highly complex and technical solutions.

The transition of business and consumer activity into digital space demand specialist software and hardware tools for increasingly niche industry verticals.

Electrification of more areas of human activity, from vehicles to industrial applications to residential heating, again demands tailored solutions and specialist supply chains.

Decarbonisation and energy transition drives innovation in areas of material science and industrial equipment which are both specialist and complex in nature.  Not to mention the rapidly expanding perimeter of scientific discovery and innovation in life sciences and healthcare.

Investors should pursue these areas in a holistic way, across regions, sectors, and value chains.  In our view it is particularly beneficial to straddle different market segments – private companies, smaller companies as well as the larger listed companies – in researching this innovation and change.

Often companies at the earlier stage of their journey are closer to the innovation frontier in their industries, and conversations with their executives or founder-entrepreneurs can be    particularly insightful.

But sometimes the best place to apply those insights is somewhere else in the value chain, maybe in a stock with lower business risk and more optimal upside / downside trade-off that will generate returns in a more normalised macroeconomic environment.

This approach is integral to the Amati investment process, and we are looking forward to applying this informational and analytical advantage for the benefit of our clients in the global equity asset class.


* Lauren Cohen, Karl Diether, Christopher Malloy; The Review of Financial Studies, 2013. Tristan Fitzgerald , Benjamin Balsmeier , Lee Fleming , Gustavo Manso ; Management Science, 2020. David Hirshleifer, Po-Hsuan Hsu, Dongmei Li; The Review of Financial Studies, 2018. Kewei Hou, Po-Hsuan Hsu, Shiheng Wang, Akiko Watanabe, Yan Xu, Journal of Financial and Quantitative Analysis (JFQA), Forthcoming

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