The Buffett Indicator: A Comprehensive Analysis of a Premier Market Valuation Tool

Executive Summary#

This report provides a comprehensive analysis of the Market Capitalization-to-GDP ratio, famously known as the Buffett Indicator. Heralded by Warren Buffett in 2001 as "probably the best single measure of where valuations stand at any given moment," the indicator has become a cornerstone of macroeconomic valuation analysis. It operates on the simple yet profound principle that, over the long term, a nation's equity market valuation cannot sustainably outgrow the real economy that underpins it.

Our analysis confirms the indicator's historical potency as a long-term barometer of market valuation. It provided a clear and prescient warning ahead of the 2000 dot-com bubble burst and signaled significant overvaluation prior to the 2008 Global Financial Crisis. In both instances, subsequent market performance validated its signal, with deep troughs in the indicator corresponding to generational buying opportunities. However, its performance during the COVID-19 pandemic revealed a more complex dynamic. The indicator surged to unprecedented highs not as a precursor to the crisis, but as a direct result of the massive fiscal and monetary policy response, highlighting a potential paradigm shift in its short-term predictive utility in an era of aggressive government intervention.

Despite its historical effectiveness, the indicator's application in the 21st-century economy requires significant nuance. This report critically examines its inherent limitations, primarily the structural upward bias created by the globalization of U.S. corporate revenues, which are captured in market capitalization but not in domestic GDP. Furthermore, the indicator does not account for the profound impact of interest rates on asset valuation, a crucial variable in the post-2008 financial landscape.

The report concludes that the Buffett Indicator, while an imperfect tool for short-term market timing, remains an indispensable component of a sophisticated investor's toolkit. Its value is maximized when interpreted not against a fixed historical average but on a de-trended basis, measuring deviations from its own long-term trend. When used in conjunction with other macro-valuation metrics, such as the Shiller Cyclically Adjusted Price-to-Earnings (CAPE) Ratio, it provides a crucial, non-earnings-based perspective on market risk, sentiment, and long-term return potential. Its enduring relevance is perhaps best demonstrated by the actions of its namesake, whose own capital allocation decisions often align with the indicator's cautionary signals.

Deconstructing the Buffett Indicator#

The Core Principle: A Nation's Price-to-Sales Ratio#

At its core, the Buffett Indicator is a macro-level valuation metric that compares the total value of a country's publicly traded companies to that country's annual economic output. In essence, it functions as a price-to-sales (P/S) ratio for an entire national economy, where the aggregate market capitalization of all stocks represents the "price," and the Gross Domestic Product (GDP) serves as a proxy for the nation's total "sales" or revenue generation.

The fundamental thesis underpinning the indicator is that a country's stock market valuation is ultimately tethered to the health and growth of its underlying economy. Corporate profits, the ultimate driver of equity values, are a component of national income, which GDP measures. Therefore, a sustained and significant divergence where the stock market's value grows much faster than the economy's ability to produce goods and services is logically unsustainable. Warren Buffett articulated this principle in his seminal 2001 Fortune magazine essay, stating that for the long-term returns of U.S. securities to materially exceed the annual growth of the U.S. economy, "you need to have the line go straight off the top of the chart. That won't happen". This establishes the indicator's inherent mean-reverting nature; extreme deviations from the historical trend are expected to correct over time.

The indicator's power derives not from a complex algorithm but from this straightforward, high-level comparison. It pits the collective expectations of the financial markets (encapsulated in the numerator, total market capitalization) against the realized production of the real economy (the denominator, GDP). A rising ratio signifies that market expectations are outpacing economic reality, increasing the probability of a future reversion. This reversion can occur through a decline in market prices, a period of accelerated economic growth, or a combination of both. This dynamic makes the indicator a powerful tool for identifying long-term cyclical extremes, rather than a precise instrument for short-term market timing.

Calculation and Data Sources: A Matter of Nuance#

The calculation of the Buffett Indicator is expressed through a simple formula :

\text{Buffett Indicator} = \frac{\text{Total Market Capitalization}}{\text{Gross Domestic Product (GDP)}} \times 100

While the formula is simple, the specific data sources used for the numerator and denominator introduce critical nuances that affect the indicator's final value and interpretation.

The Numerator: Total Market Capitalization#

Analysts primarily use two sources to determine the total value of the U.S. stock market:

1. The Wilshire 5000 Total Market Index: This is the most common proxy used in modern calculations. The Wilshire 5000 is a market-capitalization-weighted index that includes the value of virtually all publicly traded companies headquartered in the United States. Its broad coverage and daily availability make it a transparent and timely measure of the public equity market.

2. Federal Reserve Economic Data (FRED): The chart Buffett originally referenced in 2001 utilized data from the Federal Reserve, specifically from the Z.1 Financial Accounts of the United States report. This data series, often labeled "Corporate Equities; Liability," offers a much longer historical perspective, with some datasets extending back to the mid-20th century. However, it is published quarterly with a significant lag and can include the value of non-publicly traded equities, making it a less pure measure of the public stock market compared to the Wilshire 5000.

The Denominator: Economic Output#

The denominator also presents a choice between two related metrics:

1. Gross Domestic Product (GDP): This is the standard measure used in nearly all contemporary versions of the indicator. GDP represents the total monetary value of all final goods and services produced within a country's borders in a specific time period. Its data is readily available from sources like the Bureau of Economic Analysis (BEA).

2. Gross National Product (GNP): Buffett's original analysis used GNP. GNP measures the total value of goods and services produced by a country's residents, regardless of their location. For the United States, the difference between GDP and GNP has historically been minor, typically less than 1%, so the two are often used interchangeably. However, the distinction is important for analytical precision and understanding the indicator's origins.

This choice between data sources creates a crucial trade-off for analysts between historical depth and modern timeliness. Using the Wilshire 5000 provides a real-time, transparent view of the public markets but limits historical analysis to the period after 1971. Conversely, using the FRED data allows for a much richer, 70-plus-year analysis of long-term trends and cycles but at the cost of timeliness and data purity. This is not merely a technical footnote; it means that an analyst's conclusion about the indicator's "normal" level or trend can be heavily influenced by the chosen dataset. An investor must therefore scrutinize the underlying data of any Buffett Indicator chart before accepting its conclusions at face value.

Interpreting the Signal: From Undervalued to "Playing with Fire"#

A raw percentage from the Buffett Indicator is meaningless without historical context. Analysts and investors rely on established valuation bands to interpret the signal.

• Buffett's Original Guidance: In his 2001 article, Buffett provided his own framework. He suggested that if the ratio falls to the 70% or 80% range, "buying stocks is likely to work very well for you". This level indicates that the market is likely undervalued relative to the economy, presenting an attractive entry point for long-term investors. At the other extreme, he warned that when the ratio "approaches 200%-as it did in 1999 and a part of 2000-you are playing with fire". This level signals extreme overvaluation and suggests a high probability of poor future returns or a market crash.

• Commonly Accepted Analyst Bands: Over time, analysts have developed a more granular set of valuation ranges based on historical data :

  • Significantly Undervalued: Below 50%

  • Modestly Undervalued: 50% to 75%

  • Fairly Valued: 75% to 90%

  • Modestly Overvalued: 90% to 115% (or 120%)

  • Significantly Overvalued: Above 120%

These bands provide a useful, albeit simplified, framework for gauging market temperature. However, as will be explored later, structural changes in the global economy may necessitate a more dynamic approach to defining these valuation zones.

A Three-Decade Historical Performance Review#

An examination of the Buffett Indicator's performance during the three most significant market dislocations of the past three decades-the dot-com bubble, the 2008 Global Financial Crisis, and the COVID-19 pandemic-reveals its strengths as a valuation barometer and highlights its evolving character in a changing world.

Table 1: Buffett Indicator Performance During Major Market Events

The Dot-com Bubble (1995-2002): The Prescient Warning#

The late 1990s represent the textbook case for the Buffett Indicator's efficacy. Fueled by what was then described as "early-internet-era hype," equity valuations became detached from underlying economic fundamentals. The indicator captured this speculative fever perfectly. Throughout the late 1990s, it surged past historical norms, culminating in a then-unprecedented peak in March 2000. Depending on the specific data sources used (Wilshire 5000 vs. FRED data), this peak registered between approximately 140% and 159%.

It was this extreme reading that prompted Buffett's famous warning that such levels "should have been a very strong warning signal" and that investors were "playing with fire". The subsequent market action provided a powerful validation of this signal. The dot-com bubble burst spectacularly, leading to a prolonged bear market that saw the S&P 500 index lose nearly 50% of its value by late 2002. As equity prices collapsed, the Buffett Indicator reverted sharply downwards, falling to a trough in the 73% to 79% range in 2002. This brought the market from a state of extreme overvaluation back into the "fairly valued" zone. This episode cemented the indicator's reputation as a potent tool for identifying large-scale, valuation-driven market tops.

The Global Financial Crisis (2007-2009): A More Muted, But Still Valuable, Signal#

The run-up to the 2008 Global Financial Crisis (GFC) presented a different set of circumstances. The Buffett Indicator again signaled an overvalued market, peaking in 2007 at a level between 105% and 118%. While this was clearly in the "overvalued" to "modestly overvalued" range according to most frameworks, it was substantially lower than the peak reached during the dot-com mania.

Following the collapse of Lehman Brothers and the ensuing panic, the market crashed, and the indicator plunged. By the market bottom in March 2009, the ratio had fallen to a low point between 57% and 67%, firmly in "undervalued" territory. This deep undervaluation signaled a historic buying opportunity, which Buffett and Berkshire Hathaway famously capitalized on. As the market began its recovery, the indicator's reading in the 70% to 80% range during 2010 and 2011 would have been a clear "buy" signal according to Buffett's own framework.

The performance of the indicator during this period offers a crucial lesson: its signal strength can vary depending on the nature of the crisis. While the dot-com bust was a classic equity valuation bubble, the GFC was primarily a crisis of credit, leverage, and systemic risk within the banking system. The Buffett Indicator, which does not directly measure leverage or credit conditions, correctly identified that equities were expensive but did not flash the same level of extreme alarm as it did in 2000. This demonstrates the necessity of contextualizing the indicator's reading with a broader understanding of the primary economic risks at play.

The COVID-19 Pandemic (2020-2022): A Paradigm Shift?#

The COVID-19 pandemic induced the most paradoxical and counter-intuitive behavior in the indicator's history. The crisis was triggered by an exogenous shock-a global pandemic-that led to widespread economic lockdowns and a sharp, sudden contraction in GDP. In a traditional scenario, a collapse in the denominator (GDP) would be accompanied by a collapse in the numerator (market cap). Instead, the opposite occurred.

After a brief but violent market crash in March 2020, an unprecedented wave of fiscal and monetary stimulus was unleashed by governments and central banks worldwide. This massive liquidity injection directly supported asset prices, causing the stock market to rebound furiously even as the real economy struggled with high unemployment and business closures. This created a historic divergence between the market and the economy, which the Buffett Indicator captured with startling clarity.

As the denominator (GDP) fell and the numerator (market cap) soared, the indicator blew past its previous all-time highs. It surpassed 186% in late 2020 and continued to climb, peaking at levels above 200%, with some calculations showing it as high as 210% in late 2021. This was deep in "playing with fire" territory.

This episode fundamentally challenges the indicator's role as a simple predictive tool. Historically, such a high reading would imply an imminent and severe market correction was necessary to restore balance. During the pandemic, however, the high reading was not a precursor to the crisis but a consequence of the policy response to it. The very forces that would normally cause a market to crash (a weak economy) triggered a policy reaction that inflated it further. This suggests that in the modern era of swift and massive policy intervention, the causal link between a high valuation signal and a subsequent market reversion may be delayed, distorted, or even temporarily broken. The indicator accurately reflected the market's artificial support structure, but its historical implication of an impending crash was short-circuited by policy, making it a poorer tool for timing but an even better instrument for identifying the market's dependence on external stimulus.

Critical Analysis and Inherent Limitations#

While the Buffett Indicator has proven its historical value, its application to the modern, globalized, and financially complex economy is not without significant challenges. A critical analysis reveals several inherent limitations that investors must understand to use the metric effectively. These limitations suggest that the indicator's "fair value" level is not a static target but a dynamic one that has structurally evolved over time.

The Globalization Dilemma: Domestic GDP in a Global Market#

The most significant structural limitation of the Buffett Indicator in the 21st century is its comparison of two increasingly mismatched datasets: the market capitalization of global corporations and the GDP of a single nation. The numerator, typically the Wilshire 5000, reflects the total value of U.S.-domiciled public companies. However, these companies are no longer purely domestic entities. Major U.S. multinationals, particularly in the technology and consumer staples sectors, generate a substantial portion of their revenue and profits from international markets. For example, companies in the S&P 500 derive, on average, around 40% of their revenues from outside the United States.

These foreign earnings directly contribute to higher corporate valuations and thus inflate the numerator of the ratio. The denominator, U.S. GDP, by definition only captures economic output produced within the nation's borders. This creates a fundamental disconnect: the market cap reflects a global revenue base, while the GDP reflects a domestic one. As U.S. companies have expanded their global footprint over the past several decades, this mismatch has imparted a structural upward trend to the indicator. Consequently, a reading of 150% today does not carry the same meaning as a 150% reading in 1970, when the U.S. economy was more insular. This structural shift means that comparing current levels to a simple long-term historical average can be misleading.

The Interest Rate Blind Spot#

A second major flaw is that the indicator operates in a vacuum, with no consideration for the prevailing level of interest rates. Warren Buffett himself has described interest rates as acting like "gravity" on financial asset valuations; higher rates pull valuations down, while lower rates allow them to float higher. The logic is straightforward: the risk-free rate offered by government bonds serves as a baseline for all other investments. When this rate is low, the present value of a company's future earnings is higher, and investors are willing to accept lower future returns from equities, thus bidding up their prices.

The era of near-zero interest rate policy (ZIRP) and quantitative easing (QE) that followed the 2008 financial crisis created a historically low-rate environment. This sustained period of low "gravity" is a key reason why the Buffett Indicator has been able to remain at historically elevated levels for much of the past decade without triggering a major market collapse. By failing to incorporate this critical variable, the indicator may overstate the market's overvaluation during periods of low interest rates and understate it during periods of high rates.

A Changing Economy: Digitalization, Profitability, and Corporate Structure#

The composition of the U.S. economy has also evolved in ways that challenge the indicator's historical benchmarks.

• Understated GDP in a Digital Age: Some economists argue that GDP, a metric conceived for a 20th-century manufacturing-based economy, struggles to accurately measure the value created by the modern digital and service-based economy. It may understate quality improvements, the value of free digital services, and other intangible outputs, potentially making the denominator artificially low and the ratio artificially high.

• Structural Shifts in Profitability: The rise of highly profitable, asset-light, and globally dominant technology and life sciences companies may have led to a permanent increase in the share of corporate profits relative to GDP. If U.S. corporations are structurally more profitable today than in the past, this could justify a higher baseline "fair value" for the Buffett Indicator.

• Public vs. Private Company Dynamics: The ratio is sensitive to shifts in corporate structure. A trend of large private companies going public via IPOs or SPACs increases the numerator (total market cap) without a corresponding immediate increase in GDP, thus pushing the ratio higher. Conversely, a wave of private equity buyouts that take companies off the public market would have the opposite effect.

The collective impact of these limitations-globalization, interest rates, and economic evolution-strongly implies that the concept of a single, fixed "fair value" for the Buffett Indicator is outdated. The indicator's equilibrium point has been in a structural uptrend for decades. A more sophisticated analytical approach, therefore, is to de-trend the data. Instead of comparing the current reading to a simple historical average, it is more insightful to measure its deviation (often in standard deviations) from its own long-term exponential trend line. This method contextualizes the current valuation relative to the norms of the modern economic era.

Furthermore, these factors suggest a potential evolution in what the indicator measures. As foreign earnings and foreign investment inflows become more dominant drivers of U.S. market capitalization , the indicator may be transforming from a pure measure of domestic valuation into a broader barometer of global capital flows and the relative attractiveness of U.S. corporate assets in the world financial system. A high reading, in this light, signals not just potential overvaluation but also the immense global demand for U.S. equities.

Comparative Valuation: The Buffett Indicator vs. The Shiller CAPE Ratio#

No single valuation metric is infallible. To gain a more robust understanding of market valuation, sophisticated investors often compare the Buffett Indicator with its closest and most cited peer among macro-valuation tools: the Shiller Cyclically Adjusted Price-to-Earnings (CAPE) Ratio. Analyzing them in tandem reveals their complementary strengths and helps to smooth out their individual weaknesses.

Comparing Methodologies: Economy vs. Earnings#

The two indicators approach the valuation question from different angles, which is a source of their complementary power.

• The Buffett Indicator measures the total market capitalization of all public stocks against the nation's Gross Domestic Product. As established, it functions as a macro-level price-to-sales ratio, comparing the market's price to the entire economy's output. Its scope is broad, implicitly including the economic activity of both public and private enterprises in its denominator.

• The Shiller CAPE Ratio, developed by Nobel laureate Robert Shiller, measures the current price of the S&P 500 index against the average of the last ten years of inflation-adjusted corporate earnings. By using a 10-year average, the CAPE ratio smooths out the volatility of earnings over a typical business cycle, providing a more stable and long-term view of corporate profitability than a standard one-year P/E ratio.

The fundamental difference lies in their denominators. The Buffett Indicator uses the entire economy (GDP) as its valuation anchor, while the CAPE ratio uses the specific, inflation-adjusted historical profitability of large-cap public companies.

Predictive Power and Correlation#

Historically, both indicators have a strong track record of signaling market extremes. They tend to move in broad alignment, with both metrics reaching high levels before the 2000 and 2021 market peaks and low levels during major troughs. This high correlation reinforces the validity of their signals; when both are flashing red, the warning is more difficult to ignore.

Recent academic research has provided a more granular comparison of their predictive capabilities. A notable 2022 study by Laurens Swinkels and Thomas Umlauft, which examined 14 developed markets, found that the Buffett Indicator (MVE/GDP) was a substantially better predictor of 10-year nominal forward returns. In their predictive regressions, the Buffett Indicator was highly statistically significant, even when controlling for other factors like the CAPE ratio. However, the same research acknowledged that the CAPE ratio has a demonstrably higher explanatory power when forecasting excess returns-that is, returns achieved above a risk-free rate.

This distinction is logical and stems directly from their methodologies. The Buffett Indicator, using nominal GDP in its denominator, naturally has a stronger relationship with future nominal market returns. The CAPE ratio, which uses real (inflation-adjusted) earnings in its denominator, is logically a better predictor of real or excess returns. This nuanced finding moves beyond simply asking which indicator is "better" and instead clarifies what each is best suited to predict.

A Complementary View: The Whole is Greater than the Sum of its Parts#

The most astute approach is not to champion one indicator over the other but to use them as a complementary pair. Each metric has unique vulnerabilities that the other can help to mitigate. The Buffett Indicator, for instance, is distorted by the growing share of foreign profits and shifts in corporate structure, while the CAPE ratio is susceptible to changes in accounting rules and, importantly, the growing prevalence of corporate share buybacks, which reduce share count and artificially flatter earnings-per-share metrics.

By using them together, an analyst gets a more complete picture. One of the most powerful applications of this dual approach is using the Buffett Indicator as a "sanity check" on corporate profit margins. During periods when corporate profit margins are at cyclical highs, the CAPE ratio can appear reasonable or only moderately expensive because the "E" (earnings) in the P/E calculation is temporarily inflated. In such a scenario, the Buffett Indicator will often still flash a warning sign, as the total market value will have outpaced the overall economy (GDP), even if it hasn't outpaced the temporarily high earnings. This highlights that the "fair" CAPE reading may be supported by profit margins that are unsustainably high and likely to revert to their historical mean. In this capacity, the Buffett Indicator provides a crucial layer of macroeconomic context that the earnings-focused CAPE ratio might miss, making it an invaluable cross-check tool in a comprehensive valuation framework.

Conclusion: Synthesizing Insights for the Modern Investor#

The Buffett Indicator, born from a simple observation about the relationship between financial markets and the real economy, has secured its place as a vital tool for long-term investors. Its history is marked by moments of remarkable prescience, yet its application in the modern financial landscape demands a sophisticated and nuanced approach. The analysis presented in this report synthesizes into several key strategic takeaways for the contemporary investor.

The Indicator as a Strategic Barometer, Not a Tactical Trigger#

The most critical conclusion is that the Buffett Indicator should be viewed as a strategic barometer of market risk, not a tactical trigger for market timing. Its historical record shows that it is a poor predictor of short-term market movements. Markets can, and do, remain in a state of "overvaluation" for extended periods. An investor who sold their entire equity portfolio based solely on the indicator crossing a specific threshold in 2013, for example, would have missed years of substantial market gains.

The indicator's true utility lies in guiding long-term, strategic asset allocation. When the indicator is at historically extreme highs, it signals that expected future returns are likely to be low and that the market's vulnerability to negative shocks is elevated. This should prompt a prudent investor to adopt a more defensive posture, perhaps by rebalancing away from equities, increasing cash reserves, or tilting towards less richly valued asset classes. Conversely, when the indicator falls to deep troughs, it signals that long-term returns are likely to be attractive, justifying a more aggressive allocation to equities.

Adjusting for the Modern Era: A De-Trended Perspective#

Given the structural economic changes discussed-namely globalization, the evolution of corporate profitability, and the influence of interest rates-it is no longer sufficient to interpret the Buffett Indicator against a simple, static historical average. The "fair value" level of the indicator has been in a structural uptrend for decades.

Therefore, a more analytically sound approach is to evaluate the indicator on a de-trended basis. The relevant question for today's investor is not simply "Is the ratio above 100%?" but rather, "How many standard deviations is the current ratio above or below its long-term exponential trend line?". This perspective adjusts for the new economic realities and provides a more accurate gauge of whether the market is truly extended relative to the norms of the current era.

Final Verdict: Enduring Value in an Evolving Market#

Despite its limitations, the Buffett Indicator's foundational logic-that financial asset valuations are ultimately anchored to the real economy that generates their cash flows-remains as sound today as it was in 2001. It has successfully flagged the two most significant valuation-driven market bubbles of the past generation.

In the modern investor's toolkit, it serves two invaluable roles. First, it is a powerful, non-earnings-based "second opinion" that complements earnings-based metrics like the Shiller CAPE ratio, providing a crucial check on the sustainability of corporate profit margins. Second, it is an unparalleled, high-level barometer of aggregate market sentiment and risk appetite. When the indicator reaches extreme levels, it provides an unambiguous signal that caution is warranted, that forward returns should be tempered, and that portfolio resilience should be prioritized. The timing of any subsequent correction will always remain uncertain, but the indicator provides a clear warning about the market's underlying vulnerability. Perhaps the most potent endorsement of its continued relevance comes from the actions of Warren Buffett himself, whose tendency to accumulate record levels of cash at Berkshire Hathaway often coincides with periods when his namesake indicator is flashing red.

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Using the Buffet Indicator to Navigate Market Highs and Lows - MarketVector, https://www.marketvector.com/insights/mvis-onehundred/using-the-buffet-indicator-to-navigate-market-highs-and-lows 35. The Shiller PE (CAPE) Ratio: Current Market Valuations - Lyn Alden, https://www.lynalden.com/shiller-pe-cape-ratio/ 36. The Buffett Indicator, named after Warren Buffett, measures market valuation by dividing a country's total stock market value by its GDP. A ratio of 100% suggests fair market. For example, if stocks are worth $50 trillion and GDP is $25 trillion, a 200% ratio would suggest the market is overvalued. : r/wikipedia - Reddit, https://www.reddit.com/r/wikipedia/comments/1gpje40/the_buffett_indicator_named_after_warren_buffett/ 37. Absolute Valuation Models for the Stock Market: Are Indexes Fairly Priced? - QuantPedia, https://quantpedia.com/absolute-valuation-models-for-the-stock-market-are-indexes-fairly-priced/ 38. CAPE Ratio (Shiller P/E Ratio): Definition, Formula, Uses, and Example - Investopedia, https://www.investopedia.com/terms/c/cape-ratio.asp 39. Measuring the Market's Valuation (Part 2): CAPE P/E & "The Buffett Indicator", https://soundmindinvesting.com/articles/measuring-the-market-s-valuation-part-2-cape-p-e-and-the-buffett-indicator 40. This Is Warren Buffett's Biggest Warning to Wall Street Yet - Nasdaq, https://www.nasdaq.com/articles/warren-buffetts-biggest-warning-wall-street-yet 41. Can the S&P 500's CAPE Ratio Predict a Market Crash? - YCharts, https://get.ycharts.com/resources/blog/can-the-sp-500s-cape-ratio-predict-a-market-crash/ 42. The "Buffett Indicator" Predicts Historically Low Long-Term Equity ..., https://www.advisorperspectives.com/articles/2022/05/23/the-buffett-indicator-predicts-historically-low-long-term-equity-returns 43. Beware CAPE Crusaders: Limitations of Shiller's Ratio in Modern Market Valuation, https://aptuscapitaladvisors.com/beware-cape-crusaders-limitations-of-shillers-ratio-in-modern-market-valuation/ 44. Don't Fear the Buffett Indicator - EdgeRock Wealth Management, https://edgerockwealth.com/dont-fear-the-buffett-indicator/ 45. Warren Buffett's Strange Warning: The Largest Bubble Is Spreading - YouTube, https://www.youtube.com/watch?v=nPI_rBIG2TM 46. Warren Buffet is Warning You… (Most Won't Listen) - YouTube, https://www.youtube.com/watch?v=adFbB9QtBzE