The History of Financial Crises — Lecture 1 Study Guide
Instructor: Dr. Charles Calomiris
Lecture 1: The Anatomy of a Crisis
1) What Is a Financial Crisis?
- Working definition: A sudden decline in the value of an economically important asset class (land, stocks, sovereign debt, currency, etc.).
- Mechanics of a drop:
- ↑ Perceived risk ⇒ ↑ required return (discount rate) ⇒ lower price
- and/or ↓ expected future cash flows ⇒ lower price
- In practice, crises usually involve both.
Why it matters: Asset price collapses are typically accompanied by real-economy disruptions (e.g., ~6% output losses in banking crises; median bank support ≈ 16% of GDP in recent decades).
2) The Learning Puzzle
- If crises are so costly, why do they recur?
- Competing explanations:
- Minsky–Kindleberger: recurring waves of greed → fear (behavioral cycles); crises are inherent, hard to prevent.
- Historical particularism: every crisis is unique; little to generalize.
- Course position: A middle ground—many crises share discernible patterns, but not all are the same. This opens the door to prediction and (in principle) prevention.
3) Core Thesis: Crises Can Be “Adaptive”
Crises aren’t desired per se, but their risks are often stapled to things societies choose. Five adaptive linkages:
- Domestic politics & rent extraction
- Subsidizing risk (e.g., deposit insurance, subsidized mortgages) can reward the winning coalition—even if it raises fragility.
- Geopolitical competition
- Latecomer states take bigger risks (military + mercantilist) to catch up; crisis risk is a byproduct of survival.
- Innovation & learning
- New tech/markets (e.g., Florida 1920s, 1920s equities) require risk-taking to discover value; some booms will bust.
- Fraud vs. privacy & entrepreneurship
- Tighter surveillance can deter fraud, but it also destroys privacy, impedes discovery, and blunts incentives.
- Fiat money & discretionary central banking
- Discretion can mis-calibrate risk (overly loose/tight episodes), yet fiat regimes persist because they’re flexible and useful (even if imperfect).
Bottom line: Crisis risk may be part of a politically adaptive equilibrium, not purely a mistake or mass irrationality.
4) Two “Gorillas” of Subsidized Risk
- Deposit Insurance
- Empirical regularity: more DI ⇒ riskier banks (moral hazard via weaker depositor discipline).
- Global adoption surges post-1980, rarely reversed → strong hint of political adaptiveness.
- Mortgage Risk Subsidies
- Since mid-20th century, mortgage share of bank credit more than doubled in advanced economies.
- Subsidies often inflate house prices more than they increase homeownership—yet remain politically popular.
5) Monetary Policy & Risk Perceptions
- Loose policy (e.g., 2002–2006) → low measured risk (VIX/spreads compress) across stocks & bonds → sets stage for a sharp repricing (2008).
- Discretionary fiat regimes repeatedly generate these cycles; reforms exist, but political demand favors discretion.
6) A Taxonomy Approach (Not “all same” vs. “all different”)
Ask common ex-ante questions of each case:
- Was the collapse predictable (with information available before the bust)?
- Was there a price boom?
- Were there political risk subsidies?
- What was the role of external balance, credit growth, FX regime, maturity structure, etc.?
Clustering crises by these dimensions yields useful families (e.g., subsidy-driven booms; FX/sovereign mismatches; innovation-learning bubbles), guiding diagnosis & policy.
7) Deep Dive Template: AD 33 Roman Banking Panic
Context
- Two lender types: deposit banks and elite moneylenders.
- Two key regulations:
1) Usury ceiling (caps on lending rates)
2) Italian land-holding requirement for lenders (tie elite wealth to the imperial core)
Sequence
- Under Emperor Tiberius, rates rise; senators press to enforce usury ceiling.
- Ceiling binds → credit supply contracts → land prices fall.
- To “support land,” Senate raises land-holding requirement → lenders must hold more land, make fewer loans → credit contracts further, land prices plunge.
- Crisis resolution: Tiberius acts as lender of last resort (3-year, interest-free loans from the treasury).
Lessons
- Price ceilings + portfolio mandates can amplify shocks via credit contraction.
- Regulations served political cohesion (anchoring elite wealth in Italy) more than economic efficiency.
- Politically useful tools (usury caps, capital/portfolio controls) persist across eras despite known inefficiencies.
8) Enter the Modern Era (1600s →)
Technologies: Cannon, ships, navigation ⇒ centralized states + global reach.
Institutional innovations:
- Sovereign monopolies (trade routes, lotteries, banks)
- Joint-stock corporations (broad investor base)
- Standardized sovereign debt (e.g., British consols)
- Privileged chartered banks aligning finance with state strategy
Systemic risk lens: Early modern crises are primarily about sovereign risk and empire financing.
9) Teaser: 1720 France & England
- Mississippi Bubble (France): John Law fused banknote issuance, monopoly ventures, and equity finance. Conceptually innovative, but price-setting hubris (propping share prices via money creation) doomed the scheme.
- South Sea Bubble (England): Parallel ambitions; different political-financial plumbing.
Both illustrate the adaptive (catch-up geopolitics) and fragility (policy overreach) sides of state–finance coalitions.
10) Methodology & Norms
- Ex ante analysis only: Judge risks as they were knowable, not with hindsight.
- Use narrative + statistics to identify shared mechanisms and case-specific drivers.
11) Key Takeaways
- Crises = sharp repricing of risk (and/or cash flows) with real output costs.
- Many risks are policy-made and politically durable (deposit insurance, mortgage subsidies, discretionary fiat policy).
- Treat crises via taxonomy: patterns recur, but contexts differ.
- Political economy often chooses fragility as the price of other goals (coalitions, competition, innovation, privacy, policy flexibility).
- Early case (AD 33) already shows how well-intended rules can mechanically worsen a shock.
12) Discussion Prompts
- Which of the five “adaptive” channels do you think most explains your country’s crisis history? Why?
- Can you design a deposit insurance regime that preserves discipline without courting runs?
- What ex ante indicators would you monitor today to flag subsidy-driven booms?
- How would rule-based monetary policy change the risk cycle? What are the political trade-offs?