Jeremy Grantham on Enduring Long-Term Investing Amid Market Volatility

Jeremy Grantham, who hails originally from Yorkshire in England, serves as the co-founder and chief long-term investment strategist at the asset management firm GMO headquartered in Boston. His professional reputation stems from a proven track record of identifying major market bubbles over many decades. He accurately predicted the Japanese asset bubble during the late 1980s and wisely avoided the technology sector frenzy toward the end of the 1990s, which led to him being labeled a perpetual pessimist by some observers. Nevertheless, he shifted to a more optimistic stance in March 2009 precisely when equity markets reached their lowest point following the global financial crisis.

These significant experiences along with numerous additional insights are detailed extensively within his recently released memoir titled The Making of a PermaBear: The Perils of Long-Term Investing in a Short-Term World, which came out earlier this year. In a conversation with Andrew Van Sickle, Grantham reflected on his early career development as an investor who was not initially inclined toward patient value-oriented approaches. He discussed a particular period in the late 1960s when he described himself as a reckless speculator operating in an overvalued market environment. During this time he suffered losses on a pair of specific stock positions that ultimately served as important learning experiences shaping his future methodology.

Early Career Lessons from Speculative Mistakes

Shortly after securing his initial position within the investment industry Grantham relocated to Boston and became involved with a luncheon group composed of aggressive young professionals who had recently graduated from business school. At each gathering participants would share stories about promising opportunities and frequently these equities would experience rapid price increases followed by equally swift declines. One notable example involved American Raceways a motorsports organization that featured Stirling Moss on its board of directors. The company aimed to bring Formula One racing to audiences across the United States. Grantham believed the concept held strong potential because it embodied quintessential American themes of power noise and excitement including elements of risk and competition.

American Raceways acquired a single racetrack located in the central region of the country and attracted considerable attendance at events. Anticipating that such races would gain widespread popularity throughout the nation Grantham purchased three hundred shares priced at seven dollars each. He then traveled to England and Germany for a three-week period to get married and upon returning discovered the share price had risen to twenty-one dollars. In keeping with what he later viewed as typical behavior for a value-focused manager he liquidated all other holdings and increased his position threefold acquiring nine hundred shares many of them purchased with borrowed funds at the higher price level. Market dynamics teased him further as the price climbed all the way to one hundred dollars by Christmas leaving him in a position where selling would have secured substantial gains. While he and his wife deliberated over placing a higher offer on a house they were considering the broader market began to decline and American Raceways shares started falling sharply. He exited the position and moved into another enterprise that was similarly ahead of its era involving desktop monitors for displaying individual stock option prices which represented advanced technology at the time but ultimately failed to gain traction leading to the company's collapse. Grantham managed to recover enough funds to repay his lenders and from that point forward he resolved to embrace his Yorkshire roots by adopting a more conservative approach centered on undervalued assets and value investing principles.

Research into Market Cycles and Small-Cap Opportunities

Following these setbacks Grantham undertook an in-depth examination of historical stock market patterns and the recurring influence of human psychology on investment behavior. As part of this effort he manually constructed one of the earliest comprehensive indices tracking small-capitalization stocks extending back to the year 1925. The data revealed extended phases during which smaller companies outperformed larger ones alternating with periods of large-cap dominance in multi-year cycles. At the time the market was experiencing a pronounced nifty-fifty blue-chip expansion while valuations for smaller stocks had fallen to unusually low levels relative to the broader index. This led Grantham and his team to allocate their entire portfolio to small-capitalization names an approach that was highly unconventional among institutional investors who generally regarded such securities as unworthy of attention. The resulting holdings proved challenging to market to clients since they consisted of lesser-known entities rather than familiar large corporations yet the strategy generated interest and even amusement among some observers.

The overarching goal involved identifying overlooked investment opportunities and Grantham took particular satisfaction in the detailed analytical work involved. His firm became an early adopter of computer technology to facilitate ongoing quantitative research although the machines were costly occupied significant space and generated substantial heat. This computational capability provided a temporary competitive edge for a couple of years and confirmed the accuracy of earlier manual calculations. However once computers became widely available they transitioned into a standard operational expense rather than a source of advantage. Grantham noted parallels with emerging artificial intelligence technologies which he anticipates will similarly evolve from a differentiator into an essential business requirement within five to ten years potentially leaving non-adopters at a disadvantage while widespread adoption erodes any initial benefits.

Understanding Mean Reversion in Asset Markets

A central concept emerging from Grantham's historical analysis is the principle of mean reversion whereby elevated corporate profits tend to be competed away over time and asset prices that become excessively optimistic due to human behavioral tendencies eventually correct themselves. While bubbles inevitably form and collapse determining the precise timing of reversion to average levels remains difficult. Grantham described the emotional challenges of maintaining a bearish stance during the final stages of the Japanese bubble and the American technology bubble in the late 1990s when he stood largely alone in his caution for extended periods. His firm began reducing exposure to United States equities by the end of 1997 once trailing price-to-earnings ratios reached twenty-one matching the 1929 peak. By late 1998 positions had been minimized as much as possible yet valuations continued climbing to thirty-five at the height of the mania. The Japanese episode proved even more extreme with price-to-earnings ratios surging from a historical maximum below twenty-five to sixty-five in 1989. Although thirty-five was less severe than sixty-five the positioning allowed the firm to benefit as markets retreated. Value-oriented assets such as real estate investment trusts offered compelling opportunities near the peak with properties trading below replacement costs and yields around nine percent compared to the S&P 500 yield of just one point five percent. When broader markets declined these value assets advanced approximately thirty percent as investors sought safety.

Institutional Pressures and Bubble Dynamics

Grantham characterized the experience as a race against time with clients growing increasingly impatient during periods when technology-driven gains continued without the firm participating. He referenced comments from Citigroup executive Chuck Prince regarding the need to keep dancing while music plays and acknowledged that a further delay in the bubble's collapse could have jeopardized the business. Many institutional contacts privately recognized the risks but faced pressure from investment committees composed of successful private equity and venture capital participants who favored following prevailing trends. This dynamic highlights how the uncertainty around bubble timing exceeds typical client tolerance levels creating challenges for institutional strategies. Grantham emphasized that large firms cannot afford to position against bubbles and must instead align with consensus behavior to maintain client relationships even if it means participating in eventual downturns. He cited economist John Maynard Keynes on the importance of avoiding being incorrect in isolation since shared errors do not result in job losses while independent correct calls can lead to perceptions of eccentricity.

Perspectives on Current Artificial Intelligence Enthusiasm

Regarding contemporary market excitement around artificial intelligence Grantham suggested that future historians will view this era as comparable to the South Sea bubble due to its extraordinary scale. He pointed to certain investment prospectuses containing vague yet ambitious claims about profound undisclosed opportunities as reminiscent of historical manias. The discussion touched on Isaac Newton's involvement in the South Sea episode and his own admission regarding limited insight into human behavior despite expertise in celestial mechanics. Grantham observed that artificial intelligence developments appear to have interrupted what might otherwise have been a fuller correction following the late 2021 market peak. The emergence of advanced language models in late 2022 shifted market sentiment leading to rapid gains in leading technology names that pulled broader indices higher. While recognizing the transformative potential of such innovations Grantham warned that highly visible and impactful ideas tend to attract excessive capital resulting in overinvestment busts and subsequent market corrections as seen historically with railroads and internet companies. Multiple major technology firms are now competing intensely in the artificial intelligence space with the survivor potentially capturing enormous rewards but the battle itself likely to pressure profitability and valuations in the near term.

Opportunities Beyond United States Markets

When considering value opportunities outside the United States Grantham noted that conditions at the start of the prior year appeared more favorable with reasonable valuations supporting potential returns. Subsequent strong performance in emerging markets and European value stocks has narrowed that gap leaving international equities appearing somewhat less attractive while United States markets have entered territory historically associated with extreme overvaluation. Japan meanwhile offers reasonable though no longer exceptionally cheap valuations and has outperformed the S&P 500 over recent periods. Grantham observed that prevailing sentiment often dismisses concerns about sustainability in rising markets a pattern evident in previous cycles such as 1929 and 2000 where participants believed circumstances had fundamentally changed. He acknowledged that expressing caution during such times tends to provoke strong reactions from those benefiting from continued advances.