Banking crises

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Banking Crises

Fin254f: Spring 2010

Lecture notes 2.2a

Readings: Reinhart and

Rogoff(10)

Outline

 Bank run theory

 Location and frequency of runs

Crises and financial liberalization

Capital flow “bonanzas”

 Comovements

Equity prices

Real estate

Capacity

 Consequences

Types of Banking Crises

 Repressed financial systems

 Bank runs

Repressed Financial Systems

(Emerging markets)

 Developing countries

 Government controls most banking

 Force consumers to save at banks

 Force banks to buy government debt

 Government defaults

 Wipes out depositors

Bank Runs

(Anywhere)

 What is a bank?

 Bank

Borrows short term (deposits)

Lends long term (assets/loan portfolio)

 Investment banks, Shadow banking, hedge funds …

Classic Bank Run

 Depositors lose confidence

 Withdraw funds

 Banks forced to sell assets (loan portfolio)

“Fire sale”/distressed/low prices

 Bank can run out of assets and go bankrupt

Two Cases

 Insolvent bank

Bank was bankrupt anyway

Liabilities>Assets

 Solvent bank

“liquidity crises”

Can’t cover short term debt, but basically has good loans (assets)

Can still be shut down

Bad economic disruption

 Which one is difficult to tell

One Last Question

 What is a bank?

Policies to Stop Runs

 Deposit insurance

 Larger banks bailout smaller ones

 Clever temporary mergers

 Direct government assistance

Banks and Recessions

 Pretty strong connections

Bernanke, 1930s

1/2 of all US banks fail

 Credit constrained models, or credit channel models of business cycles

Outline

 Bank run theory

 Location and frequency of runs

Crises and financial liberalization

Capital flow “bonanzas”

 Comovements

Equity prices

Real estate

Capacity

 Consequences

Fraction of Time in Banking

Crisis (Independence(or 1800)

-> 2008)

 Tables 10.1 and 10.2

 Developing

Kenya 19.6%,Nigeria 10.2, Zambia 2.2,

Argentina 8.8, Russia 1.0 Mexico 9.7,

China 9.1, Japan, 8.1, Singapore, 2.3,

India 8.6

 Developed

France 11.5, Netherlands 1.9, Germany

6.6, UK 9.2, Canada 8.5, US 13

Frequency of Banking Crises

 Developing

Nigeria 1, China 10, India 6, Egypt 3,

Japan 8, Singapore 1, Argentina 9, Brazil

11, Chile 7, Mexico 7

 Developed

Germany 8, Greece 2, UK 12, France 15,

US 13, Canada 8, New Zealand 1

Summary

 Both developed and developing countries

 All regions

Crises and Liberalization

 Figure 10.1

 Obstfeld-Taylor index of capital mobility

Arbitrary guess at global capital status

 3 year moving average of countries with banking crises

 Banking crises probabilities higher after financial liberalization

Capital Flows and Banking

Crises

 Sustained capital inflow

“Capital Bonanza”

Three year inflows before crisis

Cutoff at 20 percentile (for each country)

Over threshold then Bonanza

Banking Crises and

Bonanza’s

 Table 10.7

 Prob(Crises) = 0.132

 Prob(Crises | Bonanza) = 0.184

 Share of countries where conditional prob is greater than unconditional =

0.609

Outline

 Bank run theory

 Location and frequency of runs

Crises and financial liberalization

Capital flow “bonanzas”

 Comovements

Equity prices

Real estate

Capacity

 Consequences

Comovements:

House Prices and Bank Crises

 Table 10.8

 House price cycles coincide with banking crisis years

 Magnitudes in price declines similar between developed and developing countries

Comovements:

Equity Prices and Bank Crises

 Figure 10.2

 Peak in year t-1

 Recovery started by t+2, nearly full recovery by t+3

Much shorter than real estate

Two recent examples of “no crisis” stock market movements

Crash of 87

IT bubble in 2001

Comovements:

Equity Prices and Bank Crises

 Figure 10.3: Number of banks around great depression

 1976-1985: US Financial/GDP = 4.9%

 1996-2005: US Financial/GDP = 7.5%

Outline

 Bank run theory

 Location and frequency of runs

Crises and financial liberalization

Capital flow “bonanzas”

 Comovements

Equity prices

Real estate

Capacity

 Consequences

Bailout Costs

 Difficult to measure

See table 10.9

Argentina (High 55, Low 4 ) % of GDP

Some types of bailouts payoff eventually

 GDP growth

Figure 10.4

 Central government revenue

Figure 10.6, 10.8

Government Debt

 Government debt levels, fig 10.10

Increase in Debt (100 = start)

Average 3 year increase to 186.3

Ignores state level debt

Summary

 Crisis are not limited to

The past

Emerging markets

 Pretty common

 Patterns similar

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