Topic Tags: Artificial Intelligence

Volatility Pops as Equities Drop

Recent days have proved quite challenging for equity investors. On the international front, the Nikkei 225 — which tracks the performance of large, public companies in Japan — dropped by more than 12% in Monday’s trading session. This figure represents the most significant single-day drawdown for that index in more than 35 years. Other non-U.S. equity benchmarks have exhibited similar pullbacks: The MSCI EAFE and MSCI EM indices are both down roughly 6% on a month-to-date basis as of the time of this writing. Performance has been similarly challenged for domestic stocks, with the S&P 500 and Russell 2000 indices down around 6% and 10%, respectively, over that same period. Perhaps unsurprisingly, the CBOE Volatility Index (“VIX”) reached a level not seen in more than four years during Monday’s trading session as investors grappled with broad market turbulence. Despite some moderation throughout the Monday session, the VIX remains well above its 10-year average after a prolonged period of muted volatility. These dynamics can be observed in the chart above.

As is often the case during market downturns, there is not a single force driving recent performance but rather a variety of factors at play. Some of the factors in this case include the following:

  • Friday’s lackluster jobs report, which detailed a higher U.S. unemployment rate (4.3% in July vs. 4.1% in June) and monthly nonfarm payroll gains for the last month that came in well below expectations (114,000 realized vs. 185,000 estimated). These and other souring economic data points may be leading investors to question the extent to which a soft economic landing can truly be achieved in the months ahead.
  • Waning enthusiasm surrounding the artificial intelligence trade, which has led to historically high concentration risk within many indices. Price drops of many large index constituents, many of which have benefitted from AI-related fervor, have exacerbated pressures on U.S. equity benchmarks in particular.
  • Technical factors, particularly related to a popular carry trade featuring the Japanese yen. A stronger yen and an unwinding of global yen carry trades, wherein investors borrowed in the low-yielding currency and reinvested the proceeds elsewhere, have created a negative feedback loop that has led to equity price pressures.

The dynamics described above have further clouded the future. As recently as last month, market participants expected roughly two rate cuts from the Federal Reserve for the remainder of 2024; now that figure sits at around five, with two 25 basis point cuts forecasted at the next FOMC meeting in September. To that point, the yield on the 2-Year Treasury, which closely tracks expectations surrounding Fed policy, briefly sank below 3.7% on Monday before pulling back to around 3.9% later in the trading session.

It is important to remember that the current market decline is not unprecedented. Investors should recall that equity indices are prone to corrections, with the S&P 500 Index exhibiting a drawdown of 10% or greater in 19 of the last 30 calendar years. As always, we encourage investors to maintain a long-term outlook related to their portfolios and not overreact to short-term volatility. A disciplined portfolio rebalancing policy coupled with a long-term strategic asset allocation is the most proven method to achieve risk and return objectives.

Semi-Charmed Country

Index concentration has been top of mind for investors in recent time, as fervor surrounding advances in artificial intelligence has led to outsized weights of a handful of constituents (e.g., Microsoft, NVIDIA, etc.) within domestic equity benchmarks like the S&P 500 Index. It is important to note, however, that index concentration is not simply a domestic phenomenon. For example, the Taiwanese equity market is notably exposed to technology-oriented companies, as roughly 80% of the MSCI Taiwan Index is comprised of Information Technology positions. Moreover, the index is heavily tilted toward one company in particular: Taiwan Semiconductor Manufacturing Company (TSMC). TSMC comprises just over 50% of the benchmark and has generated a year-to-date return of roughly 55% through the end of June. As it relates to these dynamics, readers may call to mind two questions: First, how did technology (and semiconductor manufacturing, in particular) come to play such an integral role within the Taiwanese economy? And second, to what extent are global semiconductor supply chains reliant on Taiwan?

TSMC was founded in 1987, with capital provided by the Taiwanese government in hopes of starting a new national industry. At that time, the company decided to focus solely on semiconductor production, which meant creating fabrication plants to manufacture chips for other businesses. This innovative model, commonly known as the foundry model, allowed TSMC to work with semiconductor companies that designed their own chips as opposed to competing against them. It is evident now that this model was hugely successful, as the current revenue share of TSMC accounts for more than 60% of the global semiconductor foundry market. The total market share of Taiwan reaches 70% when one includes other Taiwanese foundry companies (e.g., UMC, PSCM, and VIS). Factors that have led to the country’s strong success in this market include the aforementioned creation of the foundry model, as well as the highly efficient nature of Taiwanese semiconductor companies and the fact that employees in Taiwan’s semiconductor workforce are compensated well relative to those employed in other industries.

Taiwan is clearly the dominant participant in the foundry market, but it is important to note that the production of semiconductors depends on multiple players, including “fabless” chip designers (e.g., NVIDIA), companies that test and package chips, and end manufacturers. This means that the semiconductor supply chain extends well beyond Taiwan, although the country’s role within that chain is clearly crucial, as evidenced by the global chip shortage during the COVID-19 pandemic. In the wake of that shortage, and with continued geopolitical concerns surrounding China and Taiwan, countries around the world have aimed to de-risk supply chains and, therefore, have made significant investments in their domestic semiconductor industries. To that point, many European countries, as well as China, Japan, and the United States, have all committed significant resources to this endeavor. With increasingly complex artificial intelligence requiring more sophisticated chips, the semiconductor space still appears to present compelling investment opportunities, both within Taiwan and throughout the rest of the world.

How to Appraise the AI Craze

Even the most casual observers of market dynamics are likely aware that investor interest in artificial intelligence (AI) has surged in recent time. Within public equity markets, the share prices of companies tied to AI like Meta, Microsoft, and Nvidia have seen massive rallies since the start of the year, and a similar story exists in the world of venture capital. On a year-to-date basis through June 30, 2023, which is the most recent date for which information is available, companies focused on AI-related initiatives received 26% of total U.S. venture funding according to Crunchbase. This number represents a significant increase from the 11% figure posted in 2022. According to Pitchbook, a total of $23.2 billion has been committed to generative AI start-up businesses in 2023 through mid-October, which is already an increase of 250% when compared to last year’s total.

There are several factors that help to explain this surge in investor interest. First, recent advances in the field of generative AI have allowed for the automation of creative processes that have applicability across the market spectrum. To that point, a recent survey conducted by Boston Consulting Group found that roughly 70% of marketing companies are already employing generative AI processes for a variety of use cases including content creation and the personalization of advertising. Additionally, the field of adaptive AI, which includes machine learning, has also seen progress in recent time, with many companies now using these tools in forecasting and data analysis. Indeed, whether these new technologies are utilized to increase efficiency or decrease costs, it is clear that businesses across the economy find the benefits of AI extremely appealing, as do many investors.

Given the significant capital flows into the AI space this year, readers may be questioning the extent to which the current landscape mirrors that of the Dot-Com Bubble of the late 1990s. While it is likely too early to answer that question, it is clear that not all AI-related companies will succeed in the long run, and investors with excessive exposures to the space may be taking on elevated risk levels given a lack of diversification. At the same time, the use cases of AI are clearly significant and broad, so market participants will certainly benefit from some level of exposure to the space across both public and private markets. This dynamic speaks to the importance of investment manager due diligence and selection, which Marquette conducts on an ongoing basis across the asset class spectrum.

Unleashing the Power of AI

The launch of ChatGPT — a chatbot technology that can mimic human-like understanding and generate well-crafted, conversational responses — marks a pivotal moment for artificial intelligence (AI). Similar to the mainframe era of the 1950s, the rise of PCs in the 1980s and 1990s, and more recently the mobile and cloud era, AI could become the next technology platform that drives significant productivity gains and transforms our world.

The advancement of AI systems has resulted in increased adoption of the technology by various organizations, including businesses and governments. While the integration of AI within the economy brings excitement, it also raises questions about its impact on productivity, the potential displacement of human workers, and whether it will be used ethically. While limited adoption prevents us from being able to fully measure the effects AI could have on the workplace, the chart above summarizes the cost savings and revenue benefits noted by firms that have implemented AI within their organizations. On the cost side, the functions most widely benefiting from AI adoption were supply chain management (52%), service operations (45%), strategy and corporate finance (43%), and risk (43%). On the revenue side, respondents broadly saw increases in marketing and sales (70%), product and/or service development (70%), and strategy and corporate finance (65%). While there are fair criticisms of AI, the potential benefits are clear. As we continue to navigate the rapidly evolving landscape of AI, we must work to ensure that this powerful technology is harnessed in a way that benefits both individuals and society as a whole. By doing so, we can unlock the full potential of AI as the next transformative technology platform.

Live Videos: 2019 Investment Symposium Presentations

The six flash talks by our research team at Marquette’s 2019 Investment Symposium on October 4th are now available to view on our YouTube channel.

View each talk in the player above — use the upper-right list icon to access a specific presentation.

  • The Investment Case Behind ESG Investing and Implementation in Practice
    Nat Kellogg, CFA, Director of Manager Search
  • Beyond Traditional Real Estate: Exploring Opportunities in Non-Core Real Estate
    Jeremy Zirin, CAIA, Senior Research Analyst, Real Assets
  • So Many Risks, So Little Time: What’s Next in Global Risk?
    Nicole Johnson-Barnes, Research Analyst
  • U.S. Against the World: Should Investors Still Own International Stocks?
    David Hernandez, CFA, Senior Research Analyst, Non-U.S. Equities
    Samantha T. Grant, CFA, CAIA, Senior Research Analyst, U.S. Equities
  • Machine Learning for Investing: How is Artificial Intelligence Being Used in Asset Management?
    Ben Mohr, CFA, Director of Fixed Income
  • Pick Your Portfolio Poison: Recession or Inflation?
    Greg Leonberger, FSA, EA, MAAA, Director of Research

Marquette encourages open dialogue with our consultants and research team. For more information, questions, or feedback, please send us an email.