Credit Cycle Theory – Kindleberger’s Model

March 3, 2026 7:20 AM EST

Economic Models Series

Credit Cycle Theory

[DIAGRAM: Kindleberger Crisis Cycle (5 Stages)Mania, panic, and crash — anatomy of financial — figure flattened in extraction; rebuilt as a parameterized SVG]

Kindleberger’s 5-Stage Model: Manias, Panics & Crashes

Published February 2026

12 min read

[DIAGRAM: Kindleberger Crisis Cycle (5 Stages)Mania, panic, and crash — the anatomy of financial — figure flattened in extraction; rebuilt as a parameterized SVG]

Origin & History

Charles Poor Kindleberger (1910-2003), a legendary economic historian at MIT, synthesized centuries of financial crisis data into a coherent framework. His magnum opus, Manias, Panics, and Crashes: A History of Financial Crises (first published 1978, later editions 1996, 2005), became the standard reference for understanding the pattern of speculative bubbles and their collapse.

Kindleberger, drawing on detailed historical analysis of crises from the Amsterdam tulip mania (1637) through the Great Depression, Mexican debt crisis, and Black Monday (1987), identified a remarkably consistent five-stage pattern. What distinguishes Kindleberger’s work from pure financial history is his integration of economic mechanisms—credit expansion, leverage, distress selling—with psychological and sociological factors like herd behavior and changing expectations.

The framework gained renewed attention after 2008, when investors recognized that the housing bubble and financial crisis unfolded with stunning fidelity to Kindleberger’s historical patterns. Each housing boom of the 2000s, the speculation in mortgage derivatives, and the panic of 2008-2009 matched the five stages with eerie precision. Kindleberger, by then deceased, had captured something fundamental about how capitalist economies recurrently generate excess, collapse, and recovery.

His work bridges academic economics (concerned with mechanism) and history (concerned with narrative and specifics), making it unusually accessible to both scholars and practitioners. This has made Kindleberger’s framework probably the most widely known theory of financial crises among actual investors, even if academic economists favor more formal mathematical treatments.

Key Proponents & Development

Kindleberger’s framework has influenced and been refined by several subsequent scholars:

• George Soros: Pioneering hedge fund manager and theorist whose “reflexivity” concept is essentially Kindleberger-inspired—the idea that beliefs about asset prices affect actual prices, creating feedback loops that drive manias and crashes.

• Carmen Reinhart & Kenneth Rogoff: Economists who updated Kindleberger’s historical analysis with systematic data on 800+ financial crises across 66 countries, confirming the surprising consistency of crisis patterns across time and space (This Time Is Different, 2009).

• Raghuram Rajan: Former IMF Chief Economist who has extended Kindleberger to modern systemic risk analysis, emphasizing interconnectedness and how shocks propagate through financial networks.

• Andrew Shleifer: Behavioral economist who has formalized Kindleberger using behavioral finance concepts, showing how overconfidence, extrapolation bias, and limited arbitrage can generate booms and busts matching Kindleberger’s stages.

• Crisis Practitioners: Paul Tudor Jones, Stanley Druckenmiller, and other successful macro investors have built investment strategies explicitly around Kindleberger’s framework, making it perhaps the most actionable crisis theory for portfolio management.

Kindleberger’s influence extends beyond formal economics to practical finance and investment strategy.

The Five Stages of the Credit Cycle

Kindleberger identifies five distinct phases through which financial crises typically unfold:

Stage 1: Displacement

Some change occurs in the economic or political environment that creates new opportunities for profit. This might be:

• Technological innovation (railroads in the 1800s, dot-com in 1990s, AI in 2020s)

• Geographic opportunity (opening of new trade routes or markets)

• Financial innovation (new types of securities, leverage mechanisms)

• Regulatory change (deregulation that enables new activities)

• Geopolitical shifts (war, peace, alliances)

The displacement is real—it creates genuine profit opportunities. Early investors who move quickly earn outsized returns. News of these returns spreads. The stage is set for boom.

Stage 2: Boom

Capital floods into the newly-profitable sectors. Credit expansion accelerates to finance investment. Asset prices rise sharply. Employment and incomes in boom sectors rise. The mechanisms of expansion include:

• Falling lending standards as banks compete for borrowers

• Rising leverage (margin debt, debt-financed investment)

• Broadening of investment participation (nonprofessionals entering markets)

• Acceleration of price increases that generates expectation of further increases

This stage features genuine economic growth, rising employment, and widespread profit. The problem is that growth accelerates beyond sustainable levels. Investment capital expands beyond the real opportunities available. Returns on marginal investments fall to inadequate levels, but the boom continues because expectations of price appreciation—not current cash flows—drive purchases.

Stage 3: Euphoria

As boom persists, speculation overwhelms rational evaluation. New participants enter who have no expertise in the sector. Price increases are justified by narratives of a “new paradigm” or permanent structural shifts. Leverage reaches extreme levels. Warning signs are ignored. This stage features:

• Price-to-fundamental ratios at historic highs

• Lowest-quality projects receiving abundant financing

• Debt-to-equity ratios approaching dangerous levels

• Deterioration in lending standards (subprime mortgages, no-doc loans, etc.)

• Intense competition driving margins into loss territory

• Political pressure against regulation (“don’t interfere with growth”)

The euphoria phase is when truly indefensible valuations and leverage reach their peaks. Seasoned investors begin to exit, but their selling is overwhelmed by inflows of new money chasing the narrative of endless appreciation.

Stage 4: Panic

Some trigger event shatters confidence. It might be:

• An economic shock (interest rate surprise, geopolitical crisis)

• Deterioration in fundamentals (earnings miss, default announcement)

• Regulatory action (margin requirement increase, new restrictions)

• A large failure (major firm collapse) that triggers losses

• Simply a sentiment shift where “smart money” begins exit

Once selling begins, the dynamic reverses. The same herd behavior that drove prices up now drives them down. Margin calls force liquidation by leveraged investors. Credit conditions tighten. Sellers overwhelm buyers. The mechanism becomes:

• Asset prices fall, forcing margin calls

• Forced sales depress prices further

• Credit lines are withdrawn

• Counterparty failures trigger wider selling

• Bankruptcies accelerate

• Asset prices fall far below fundamental value as indiscriminate liquidation occurs

The panic stage typically lasts days to weeks, featuring the sharpest price declines and greatest volatility.

Stage 5: Revulsion & Bottom

After the panic, a period of continued malaise persists. Prices may stabilize, but sentiment remains negative. Investors who suffered losses are unwilling to re-enter. Leverage is being worked down. Asset values remain depressed relative to fundamentals because risk perception is extremely high. This stage features:

• Capitulation of remaining long positions

• Extreme pessimism (“this will never recover”)

• Historically low valuations

• Minimal participation and volume

• Gradual improvement as balance sheets heal and fear fades

The revulsion phase is actually the best entry point for contrarian investors, but it’s psychologically the hardest time to commit capital. Only after extended period of pessimism does confidence gradually return and new cycle begins.

The Kindleberger Identification Challenge

The difficulty in applying Kindleberger’s framework is determining which stage the market is in in real-time. Stage 1 and early Stage 2 look nearly identical—both feature rising prices and genuine improvements. Stage 2 and Stage 3 blur together. Stage 4 (panic) is usually evident only after it begins. This makes tactical market timing difficult, though strategic allocation between stages is more feasible.

Mechanisms: Why Five Stages?

The five stages are not arbitrary; they reflect underlying economic and psychological mechanisms:

Information & Expectation Formation

Early in displacement/boom (Stages 1-2), information asymmetry favors insiders and early adopters. They understand the opportunity better than the broader market. This generates outsized returns that draw attention. But as the story becomes widely known, returns should normalize. Instead, they often accelerate as new money enters based on price momentum rather than fundamental analysis.

Leverage & Margin Dynamics

Stages 2-3 feature rising leverage as investors pursue higher returns. This amplifies both gains and losses. In Stage 4-5, forced deleveraging overwhelms new capital inflows, driving prices below fundamental value. The interaction of leverage with herding behavior creates the sharp asymmetry between boom slopes and crash slopes.

Narrative Shifts

In Stage 1-2, the narrative is “genuine opportunity.” In Stage 3, the narrative becomes “new paradigm” or “this time is different.” In Stage 4, the narrative inverts to “catastrophe” or “worse than we thought.” These narrative shifts aren’t irrational—they represent genuine learning. But they overshoot, creating boom and bust.

Participation Expansion**

Early boom attracts sophisticated investors (hedge funds, professional traders). Late boom attracts retail investors, often with less expertise. This shift in investor composition changes price dynamics. Retail participants are more likely to extrapolate past returns forward, less likely to use leverage responsibly. Their entry marks transition from Stage 2 to Stage 3.

Regulatory Response Lag**

Regulators typically respond to excesses after they’re visible. By the time rules are implemented, the bubble often already begun deflating. This lag means regulatory responses often amplify the panic (Stage 4) rather than preventing excess (Stage 3).

Historical Examples

Kindleberger documents dozens of crises matching the five stages. Several stand out:

The Great Depression (1920s-1930s)

Displacement: Post-WWI economic reorganization, new industries (automobiles, radio). Boom: 1920s prosperity, margin buying of stocks reaches 50% LTV in 1928-1929. Euphoria: “New era” narrative, valuations reach 25+ P/E ratios. Panic: October 1929 crash, followed by banking failures 1930-1933. Revulsion: 1930s stagnation, gradual recovery only with WWII.

The S&L Bubble (1980s)

Displacement: Deregulation of savings & loans and relaxation of mortgage standards. Boom: Explosive real estate lending growth, Texas and California boom. Euphoria: Reckless lending, 100%+ LTV mortgages, floating-rate funding of fixed-rate long-term assets. Panic: 1986 oil crash causes real estate collapse in Texas; S&L failures cascade. Revulsion: 1990s real estate depression.

The Asian Financial Crisis (1997-1998)

Displacement: Opening of Asian markets to foreign capital, deregulation of financial sectors. Boom: Massive capital inflows to Thailand, Indonesia, South Korea. Euphoria: Real estate bubbles, over-leverage in manufacturing, “Asian miracle” narrative. Panic: Thai baht crisis triggers capital flight and contagion. Revulsion: Currency collapses, 20%+ declines in asset prices, debt defaults.

The Dot-Com Bubble (1995-2000)

Displacement: Internet commercialization and explosive growth of tech adoption. Boom: NASDAQ doubles 1995-1998, tech IPO mania accelerates. Euphoria: “New era” narrative, $0 revenues valued at billions, margin debt reaches $300 billion. Panic: Fed rate hikes in 1999-2000 trigger rotation to value. NASDAQ crashes 78% 2000-2002. Revulsion: Tech sector disgrace, 2002-2003 capitulation.

The Housing Bubble (2003-2008)

Displacement: Subprime mortgage innovation and securitization enable unprecedented mortgage lending. Boom: Housing prices double 2002-2006, mortgage originations surge. Euphoria: “Housing never goes down” narrative, Alt-A and subprime mortgages reach 25% of volume, 0% down-payment loans become common. Panic: 2006 housing peak, 2007-2008 defaults cascade, Bear Stearns and Lehman collapse. Revulsion: 2008-2012 housing decline, mortgage debt overhang persists through 2015.

Criticisms & Limitations

While remarkably useful, Kindleberger’s framework has limitations:

Timing Ambiguity**

The framework is excellent for explaining crises retrospectively but less precise about predicting stage transitions prospectively. This creates a “hindsight bias” problem—it’s easy to map the five stages onto a past crisis, much harder to identify stage transitions in real-time.

Not All Booms End in Crashes

Some rapid asset price appreciation reflects genuine value creation that stabilizes at higher levels. The tech boom of the 1990s, while it included speculation, also reflected genuine productivity improvements from internet diffusion. Not all booms proceed to Stage 4 panic.

Policy Intervention Can Interrupt the Cycle

Modern central banks and governments have tools to prevent full progression through all stages. Fed rate cuts can limit severity of panics. Government guarantees can prevent Stage 5 revulsion. This doesn’t invalidate Kindleberger but makes application more complex—policy response alters trajectory.

Magnitude Variation Not Explained

Some booms are small (brief euphoria, shallow panic). Others are enormous (multiyear euphoria, 50%+ crashes). Kindleberger’s framework explains the pattern but not what determines the amplitude. This limits ability to project crash severity.

Multiple Simultaneous Cycles

Modern economies have multiple asset classes in different stages simultaneously. Real estate might be in Stage 2 while equities are in Stage 3 and bonds in Stage 1. This complexity isn’t captured by the basic five-stage model.

Competing Models & Frameworks

Kindleberger’s framework competes with other approaches to financial crises:

Rational Bubble Models: These argue that even in Stage 3-4, investors are rationally buying if they believe they can sell to someone else at a higher price before the crash. This formalizes the “greater fool” theory but suggests bubbles require rationality, not irrationality.

Efficient Markets Hypothesis: EMH argues bubbles shouldn’t occur because prices reflect all information. Kindleberger is fundamentally incompatible with EMH—his entire framework depends on systematic mispricings.

Minsky’s Financial Instability: Focuses on debt and financing structures; Kindleberger focuses on sentiment and credit cycles. Both are valuable; they address different dimensions of crises.

Austrian Business Cycle Theory: Emphasizes that credit expansion distorts relative prices and capital allocation. Kindleberger would say credit expansion is the mechanism but that sentiment/expectation shifts (not just credit) drive booms.

Behavioral Finance: Modern behavioral models formalize the psychological factors Kindleberger emphasizes—overconfidence, herding, extrapolation bias. This provides mathematical structure to Kindleberger’s insights.

5-Phase Framework Mapping

Kindleberger’s Cycle Maps to General 5-Phase Model

Phase 0 ≈ Stage 1 (Displacement)

A new technology or market opportunity emerges. Early adoption by sophisticated investors generates strong returns. Institutions and corporate entities cautiously expand exposure. Credit conditions are still reasonably tight—only the most creditworthy borrowers can obtain leveraged financing. This phase features modest price gains and genuine fundamental value creation. Risk levels are acceptable.

Phase 1 ≈ Stages 1-2 (Boom)

Returns from early adopters become widely known. Capital flows accelerate into the asset class. Credit conditions loosen; lending standards begin to deteriorate. Leverage expands sharply. Participation broadens from institutional to retail. Price momentum accelerates. The narrative shifts from “solid opportunity” to “must-own.” Leverage and credit growth are expanding but credit quality is still reasonable. Risk is rising but not yet acute.

Phase 2 ≈ Stages 2-3 (Late Boom/Euphoria)

Speculation overwhelms fundamental analysis. The “new paradigm” narrative dominates. Valuations reach historic extremes. Leverage is at dangerous levels. The lowest-quality projects receive abundant funding. Risk is at maximum. Warning signs are ignored due to momentum and FOMO. At this stage, the exit already decided for sophisticated investors; they’re in the process of reducing exposure. Only retail and trailing institutional capital is still accumulating.

Phase 3 ≈ Stage 4 (Panic)

A trigger event shatters confidence. The narrative inverts sharply. Leverage that amplified gains now amplifies losses. Margin calls force liquidation. Counterparty failures accelerate. Credit dries up. Investors rush for the exits simultaneously. Prices fall sharply in days to weeks. Volatility spikes. This phase is the most dangerous for levered investors and credit markets.

Phase 4 ≈ Stage 5 (Revulsion/Bottom)

Selling exhausts itself. Prices stabilize but sentiment remains deeply negative. Valuations are depressed far below fair value. Participation is minimal. Leverage has been worked down. Balance sheets are healing slowly. Risk of further cascade is low because most leverage is gone. This phase lasts weeks to months, eventually transitioning to fresh accumulation as fear dissipates and valuations become genuinely attractive to long-term investors.

Current Status: February 2026

Where Are We in the Kindleberger Cycle?

As of February 2026, the global economy displays characteristics spread across multiple Kindleberger stages, depending on asset class and geography:

Artificial Intelligence / Tech Sector

AI is unmistakably in Stage 1-2: Displacement is genuine (generative AI capabilities are real and rapidly improving). Boom is underway (capital flooding into AI infrastructure, enterprise software, chip manufacturers). However, euphoria indicators are rising (mega-cap tech valuations at or near historic highs, retail investor participation increasing, leverage in private equity deals for AI companies rising).

The critical question for 2026-2027: Does AI remain in Stage 2 (healthy boom with rational growth expectations) or has it transitioned to Stage 3 (speculation driven by FOMO without regard to fundamentals)? Indicators to watch: valuation multiples, margin debt levels, credit quality of funding sources. If venture capital funding remains disciplined and valuations adjust to earnings, Stage 2 persists. If SPAC-like frenzies emerge or companies with zero revenue reach billion-dollar valuations, Stage 3 is evident.

Private Credit / LBO Markets

Private equity leverage is in Stage 2-3: Displacement occurred (private credit became alternative to banks post-regulation). Boom underway (private credit AUM surging to $1.3+ trillion). Euphoria signals emerging (LBO leverage at 7.5-8x EBITDA, near pre-2008 levels; covenant-light structures proliferating; covenant-free lending becoming standard).

The risk is that Stage 3 (euphoria) is reached as yield-hungry institutional investors pile into private credit funds with limited liquidity. When interest rates remain elevated and defaults rise even modestly, refinancing becomes impossible for highly leveraged borrowers. This could trigger Stage 4 (panic) if fund redemptions demand force fire sales of illiquid positions.

Commercial Real Estate**

Office real estate is in Stage 4-5: Displacement was deregulation enabling massive office expansion in the 2000s-2010s. Boom occurred 2010-2019 with ZIRP financing abundant office development. Euphoria peaked 2019-2021 with office valued at 3-4% cap rates (yields extremely tight). Panic began 2022 as WFH adoption reduced demand; cap rates widened to 5-6%; many office REITs faced covenant violations. Revulsion continues into 2026 as office inventory remains for-sale/for-lease, but gradual stabilization is underway.

Cryptocurrencies**

Bitcoin and crypto are in Stage 2-3: After the 2022 bottom (FTX collapse), crypto has recovered to near-peak valuations (Bitcoin at $85,000+ in Feb 2026). Displacement remains genuine (blockchain technology has real applications). Boom is underway (institutional adoption increasing, spot ETFs enabling easier access). Euphoria signals rising (retail participation increasing after crash, leverage returning, “Bitcoin as alternative currency” narrative resurging).

The risk is Stage 3 euphoria if Bitcoin reaches $150,000+ on momentum alone without corresponding improvement in fundamentals or adoption metrics. If leverage reaches pre-2021 levels, Stage 4 panic could be triggered by any credit shock.

Equities Broadly

Global equities are in Stage 2-early Stage 3: Displacement was pandemic-era earnings resilience and central bank support. Boom occurred 2020-2021 with massive valuation expansion. Stage 3 signals emerging in 2024-2026: Magnificent 7 stocks at extreme valuations (average forward P/E over 30x), retail investor participation rising, Fed pause in tightening creating “Fed put” narrative, margin debt elevated though not at all-time highs.

The question is whether breadth deteriorates (only mega-caps rally while small caps/value stagnate) as a signal of Stage 3 transition to Stage 4. Historically, breadth warnings (advance-decline ratios) precede serious corrections by 3-6 months.

What to Watch: Kindleberger Stage Indicators

Real-Time Stage Identification

1. Valuation Extremes (Monthly/Quarterly)

Monitor price-to-book, price-to-sales, and forward P/E for key sectors. When multiples exceed prior cycle peaks and earnings growth expectations still rising, Stage 3 is likely. Compare current valuations to long-term averages—extreme valuations (>1.5 standard deviations above mean) indicate euphoria.

2. Leverage & Margin Debt (Monthly)

FINRA publishes margin debt outstanding monthly. When margin debt accelerates and leverage multiples reach or exceed prior peaks, Stage 2-3 transition is likely. Deteriorating leverage quality (margin debt directed to low-quality securities) particularly concerning.

3. Credit Standards & Lending Spreads (Weekly/Monthly)

Fed surveys on bank lending practices and credit spreads in high-yield bonds indicate credit conditions. Rapidly tightening credit (rising spreads, declining loan originations) precedes Stage 4. Extremely loose credit (very low spreads, aggressive lending) indicates Stage 2-3.

4. Retail Participation & Volume (Daily/Weekly)

Monitor retail options trading, retail equity account openings, and retail inflows to asset classes. Surge in retail participation and options activity often marks transition from Stage 2 to Stage 3.

5. Media Narrative & “New Era” Talk (Real-time)

Qualitative but powerful: When mainstream media and professional investors use language like “new paradigm,” “this time is different,” “rules have changed,” Stage 3 euphoria is likely. Conversely, when narrative shifts to “we’re in trouble” or “worse than we thought,” Stage 4 is underway.

6. Initial Public Offerings & Special Purpose Acquisitions (Monthly)

IPO volume and valuation multiples correlate with market euphoria. Surge in SPAC activity and IPO flood indicates late Stage 2-3. Drying up of IPO pipelines indicates Stage 4.

7. Insider Selling & Smart Money Flows (Monthly)

Track corporate insider selling vs. buying ratios and hedge fund positioning changes. Heavy insider selling despite rising prices signals smart money exiting (Stage 3 transition). Heavy insider buying despite falling prices signals Stage 5 accumulation.

8. Breadth & Participation (Weekly)

Monitor advance-decline ratios, percentage of S&P 500 above 200-day moving averages, and number of new 52-week highs. Narrowing breadth while major indices rise indicates Stage 3 euphoria concentrated in fewer stocks. Return of broad participation after declines indicates Stage 5 stabilization.

Conclusion

Charles Kindleberger’s five-stage framework for understanding financial manias, panics, and crashes remains the most intuitive and practical model for professional investors assessing systemic risk. While developed through historical analysis rather than mathematical formalism, the framework’s explanatory power for subsequent crises (Asian 1997, Dot-com 2000, Housing 2007, COVID 2020, Crypto 2022) has proven remarkable.

The key insight is that booms and busts are not random or exogenous, but follow a predictable sequence of phases driven by displacement/opportunity, feedback loops between prices and expectations, leverage amplification, and ultimately, sentiment reversal. Understanding which stage an asset class occupies has profound implications for portfolio positioning, risk management, and tactical allocation.

As of February 2026, multiple asset classes appear to be in mid-to-late boom stages. Artificial intelligence is in Stage 2, showing strength but with rising euphoria signals. Private credit is in Stage 2-3 with leverage reaching dangerous levels. Cryptocurrencies are in Stage 2-3 with revived enthusiasm. Equities broadly show Stage 2-3 characteristics with valuation extremes concentrated in mega-cap tech.

The prudent macro investor uses Kindleberger’s framework not to time exits precisely (impossible), but to assess systematic risk positioning. High concentrations in assets showing Stage 3 euphoria warrant risk reduction. Asset classes in Stage 5 (revulsion) present opportunity. This disciplined approach, grounded in centuries of financial history, provides superior risk-adjusted returns over full cycles.

BuildersLens.com – Economic Models Series February 2026 | This analysis is for informational purposes and represents the author’s analytical framework. Past performance is not indicative of future results.

Related Signals in the 65-Signal Framework These signals directly connect to this economic theory.

Credit ImpulseKindleberger credit cycle theory directly models credit expansion leading to mania and panic

IG Credit Spread Behavioral CycleKindleberger’s credit cycle directly explains investment-grade spread compression and widening

Bank Lending Standards (SLOOS)Kindleberger’s credit cycle features bank lending expansion and contraction

IG Credit SpreadsKindleberger’s credit cycle directly models IG spread compression in mania

HY Credit SpreadsKindleberger credit cycle models HY spread cycles directly

Nonfarm PayrollsKindleberger’s credit cycle final phase features employment cycle turning points

Chicago Fed NFCINFCI measures Kindleberger credit cycle financial conditions

Credit Spread BlowoutKindleberger’s mania-to-panic transition triggers credit spread blowouts

IG > 300 bps (Deep Phase 2)Kindleberger crisis phase features IG spreads at distress levels

← Return to 65-Signal Dashboard

Browse All Economic Models →

Related Signals in the 65-Signal Framework These signals directly connect to this economic theory.

Credit ImpulseKindleberger credit cycle theory directly models credit expansion leading to mania and panic

IG Credit Spread Behavioral CycleKindleberger’s credit cycle directly explains investment-grade spread compression and widening

Bank Lending Standards (SLOOS)Kindleberger’s credit cycle features bank lending expansion and contraction

IG Credit SpreadsKindleberger’s credit cycle directly models IG spread compression in mania

HY Credit SpreadsKindleberger credit cycle models HY spread cycles directly

Nonfarm PayrollsKindleberger’s credit cycle final phase features employment cycle turning points

Chicago Fed NFCINFCI measures Kindleberger credit cycle financial conditions

Credit Spread BlowoutKindleberger’s mania-to-panic transition triggers credit spread blowouts

IG > 300 bps (Deep Phase 2)Kindleberger crisis phase features IG spreads at distress levels

← Return to 65-Signal Dashboard

Browse All Economic Models →

Related Signals in the 65-Signal Framework These signals directly connect to this economic theory.

Credit ImpulseKindleberger credit cycle theory directly models credit expansion leading to mania and panic

IG Credit Spread Behavioral CycleKindleberger’s credit cycle directly explains investment-grade spread compression and widening

Bank Lending Standards (SLOOS)Kindleberger’s credit cycle features bank lending expansion and contraction

IG Credit SpreadsKindleberger’s credit cycle directly models IG spread compression in mania

HY Credit SpreadsKindleberger credit cycle models HY spread cycles directly

Nonfarm PayrollsKindleberger’s credit cycle final phase features employment cycle turning points

Chicago Fed NFCINFCI measures Kindleberger credit cycle financial conditions

Credit Spread BlowoutKindleberger’s mania-to-panic transition triggers credit spread blowouts

IG > 300 bps (Deep Phase 2)Kindleberger crisis phase features IG spreads at distress levels

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Browse All Economic Models →