Bubbles. Macroeconomics IV. Ricardo J. Caballero. Spring 2011 MIT. R.J. Caballero (MIT) Bubbles Spring / 29

Similar documents
Princeton University TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AAAAAA

PRINCETON UNIVERSITY Economics Department Bendheim Center for Finance. FINANCIAL CRISES ECO 575 (Part II) Spring Semester 2003

Bubbles and Crashes. Hedge Funds and the Technology Bubble

Internet bubble? s

Bubbles and Crises by F. Allen and D. Gale (2000) Bernhard Schmidpeter

Collateral and Amplification

Princeton University

Bubbles and Crashes. Jonathan Levin. October 2003

Speculative Bubble Burst

14.05 Lecture Notes. Endogenous Growth

STATE UNIVERSITY OF NEW YORK AT ALBANY Department of Economics. Ph. D. Comprehensive Examination: Macroeconomics Fall, 2016

Macroeconomics IV Problem Set 3 Solutions

The International Transmission of Credit Bubbles: Theory and Policy

Optimal Credit Market Policy. CEF 2018, Milan

Advanced Macroeconomics I ECON 525a - Fall 2009 Yale University

A Theory of Leaning Against the Wind

A Double Counting Problem in the Theory of Rational Bubbles

Moral Hazard: Dynamic Models. Preliminary Lecture Notes

Institutional Finance

Problem set Fall 2012.

Bubbles and Credit Constraints

Capital Flows and Sudden Stops

Location, Productivity, and Trade

The Credit Crunch. Macroeconomics IV. Ricardo J. Caballero. Spring 2011 MIT. R.J. Caballero (MIT) The Credit Crunch Spring / 16

Banks and Liquidity Crises in Emerging Market Economies

1 Dynamic programming

STATE UNIVERSITY OF NEW YORK AT ALBANY Department of Economics. Ph. D. Comprehensive Examination: Macroeconomics Spring, 2016

To sell or to borrow?

Macroeconomics of Financial Markets

UNIVERSITY OF CALIFORNIA Economics 134 DEPARTMENT OF ECONOMICS Spring 2018 Professor David Romer LECTURE 21 ASSET PRICE BUBBLES APRIL 11, 2018

Capital markets liberalization and global imbalances

Professor Dr. Holger Strulik Open Economy Macro 1 / 34

Assets with possibly negative dividends

A Tale of Fire-Sales and Liquidity Hoarding

Motivation: Two Basic Facts

Notes on Intertemporal Optimization

Topic 4. Introducing investment (and saving) decisions

Final Exam (Solutions) ECON 4310, Fall 2014

Lecture 8: Introduction to asset pricing

Foreign Competition and Banking Industry Dynamics: An Application to Mexico

Exploding Bubbles In a Macroeconomic Model. Narayana Kocherlakota

Banks and Liquidity Crises in an Emerging Economy

Optimal Financial Education. Avanidhar Subrahmanyam

Bernanke and Gertler [1989]

M. R. Grasselli. ORFE - Princeton University, April 4, 2011

Banks and Liquidity Crises in Emerging Market Economies

Practice Problems 1: Moral Hazard

Linear Capital Taxation and Tax Smoothing

Market Liquidity and Performance Monitoring The main idea The sequence of events: Technology and information

Price Theory of Two-Sided Markets

Eco504 Fall 2010 C. Sims CAPITAL TAXES

Intertemporal choice: Consumption and Savings

Lecture 1 Definitions from finance

Slides III - Complete Markets

Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach

Capital Adequacy and Liquidity in Banking Dynamics

Replicator Dynamics 1

Exam Fall 2004 Prof.: Ricardo J. Caballero

Lectures on Trading with Information Competitive Noisy Rational Expectations Equilibrium (Grossman and Stiglitz AER (1980))

STATE UNIVERSITY OF NEW YORK AT ALBANY Department of Economics. Ph. D. Comprehensive Examination: Macroeconomics Spring, 2009

ECON 4335 The economics of banking Lecture 7, 6/3-2013: Deposit Insurance, Bank Regulation, Solvency Arrangements

Revision Lecture Microeconomics of Banking MSc Finance: Theory of Finance I MSc Economics: Financial Economics I

Booms and Banking Crises

M. R. Grasselli. Imperial College London, March 09, Mathematics and Statistics - McMaster University Joint work with O. Ismail and B.

Stock Prices and the Stock Market

Appendix to: AMoreElaborateModel

General Examination in Macroeconomic Theory SPRING 2016

Macroeconomics and finance

Unemployment equilibria in a Monetary Economy

STATE UNIVERSITY OF NEW YORK AT ALBANY Department of Economics. Ph. D. Comprehensive Examination: Macroeconomics Spring, 2013

A Structural Model of Continuous Workout Mortgages (Preliminary Do not cite)

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

Efficiency in Decentralized Markets with Aggregate Uncertainty

A Model with Costly Enforcement

Question 1 Consider an economy populated by a continuum of measure one of consumers whose preferences are defined by the utility function:

Answers to Microeconomics Prelim of August 24, In practice, firms often price their products by marking up a fixed percentage over (average)

The Ramsey Model. Lectures 11 to 14. Topics in Macroeconomics. November 10, 11, 24 & 25, 2008

The Demand and Supply of Safe Assets (Premilinary)

Understanding Krugman s Third-Generation Model of Currency and Financial Crises

Nominal Exchange Rates Obstfeld and Rogoff, Chapter 8

Final Exam II (Solutions) ECON 4310, Fall 2014

Maturity Transformation and Liquidity

Agency Costs, Net Worth and Business Fluctuations. Bernanke and Gertler (1989, AER)

Government Safety Net, Stock Market Participation and Asset Prices

Finite Memory and Imperfect Monitoring

Global Imbalances and Financial Fragility

On the Optimality of Financial Repression

A Baseline Model: Diamond and Dybvig (1983)

International financial crises

LECTURE NOTES 10 ARIEL M. VIALE

Booms and Busts in Asset Prices. May 2010

Misallocation and the Distribution of Global Volatility: Online Appendix on Alternative Microfoundations

OPTIMAL MONETARY POLICY FOR

Bank Runs, Prudential Tools and Social Welfare in a Global Game General Equilibrium Model

Quantitative Modelling of Market Booms and Crashes

International Trade Lecture 14: Firm Heterogeneity Theory (I) Melitz (2003)

One-Period Valuation Theory

A Model of Financial Intermediation

Self-Fulfilling Credit Market Freezes

Exchange Rates and Fundamentals: A General Equilibrium Exploration

Transcription:

Bubbles Macroeconomics IV Ricardo J. Caballero MIT Spring 2011 R.J. Caballero (MIT) Bubbles Spring 2011 1 / 29

References 1 2 3 Allen, F. and D. Gale, Bubbles and Crises, Economic Journal, 110:236-255, 2000. Tirole, J., Asset Bubbles and Overlapping Generations, Econometrica, 53,(6), 1499-1528, November 1985. Abreu D. and M. Brunnermeier, Bubbles and Crashes, Econometrica, 71:173-204, 2003. R.J. Caballero (MIT) Bubbles Spring 2011 2 / 29

Introduction Historical: Dutch Tulipmania, South Sea... Great Crash of 1929 South Sea Bubble (1710-1720) Isaac Newton: 04/20/1720 sold shares at 7,000, profiting 3,500. Re-entered the market later ended up losing 20,000 I can calculate the motions of the heavenly bodies, but not the madness of people Japan boom-bust (a lost decade); EMEs, Nasdaq, real estate (all around the developed world), commodities Where do they come from? What to do about them? R.J. Caballero (MIT) Bubbles Spring 2011 3 / 29

Main points Two broad (and polar) views: There is a shortage of store of value bubbles help fixing this problem Agents misbehave (either an agency problem or a behavioral problem) My view: These views are more intertwined than it may seem The former is about macro environments where there is shortage of assets The latter is about the location of bubbles Other: irrational exuberance and more formal behavioral stories My view: More likely to arise when the above conditions are present R.J. Caballero (MIT) Bubbles Spring 2011 4 / 29

Risk shifting Allen-Gale (2000) Bubbles and crises There is a pattern: Phase 1: financial liberalization or some expansionary policy fuels a bubble Phase 2: the bubble bursts and asset prices collapse Phase 3: widespread defaults by leveraged asset buyers, leading to a banking and/or exchange rate crisis, and a persistent recession Main ingredient (this is all we ll discuss here): Uncertainty about payoffs (real or financial sector) can lead to bubbles in an intermediated financial system (risk shifting/asset substitution) R.J. Caballero (MIT) Bubbles Spring 2011 5 / 29

Model Two dates, t = 1, 2 and a single consumption good Two assets: Safe and in variable supply at a rate r Risky and in fixed supply. Stochastic return is R per unit, with density h(r ) and support [0, R MAX ] The return on the safe asset is determined by marginal product of capital: r = f (x) where x are units of the consumption good (standard assumptions on f ) Non-pecuniary convex cost of investing in risky assets c(x) (to restrict portfolio sizes and to ensure equilibrium profit for borrowers) R.J. Caballero (MIT) Bubbles Spring 2011 6 / 29

Model There is a continuum of small, risk neutral investors; idem for banks. Investors have no wealth while banks have a fixed amount B (which they supply inelastically). Only investors know how to invest, so banks only choice is to lend to investors Banks and investors are restricted to used simple debt contracts (in particular, they don t depend on size) Since investors can borrow as much as they want at the going rate, in equilibrium the contracted rate on loans must be equal to the riskless interest rate Symmetric eq. All investors are identical ex-post. X s and X R are the representative investor s holdings of the safe and risky assets R.J. Caballero (MIT) Bubbles Spring 2011 7 / 29

Risk shifting Because banks use debt contracts and cannot observe investment decisions by borrowers, the latter does not bear the full cost of investment if the outcome is bad, while it gets the benefit if the outcome is good If representative investor buys X s and X R, it borrows X s + PX R (where P is rel. price of risky asset) and the repayment (if not bankrupt) is r (X s + PX R ) The liquidation value of the portfolio is rx s + RX R, so the payoff for the investor is: max{(r rp)x R, 0} and the decision problem is: R MAX max X R (R rp)h(r)dr c(x R ) X R 0 R =rp R.J. Caballero (MIT) Bubbles Spring 2011 8 / 29

Equilibrium Market clearing conditions: X R = 1 X S + P = B r = f (X S ), the focs evaluated at the equilibrium are: R MAX (R rp)h(r)dr = c (1) R =rp from which we can solve for (r, P) r = f (B P) R.J. Caballero (MIT) Bubbles Spring 2011 9 / 29

P We can re-write the foc wrt to P to get: R M AX Rh(R)dR c (1) 1 R =rp Pr[R R ] ( 1 c ) (1) = E [R R R ] r Pr[R R ] P = r Define the fundamental as the price an agent would be willing to pay in the absence of risk shifting, then: 1 ( ) P f = E [R] c (1) r It is easy to show that, as long as Pr[R R ] > 0, P > P f R.J. Caballero (MIT) Bubbles Spring 2011 10 / 29

Proof rp Pr[R R ] = = > R MAX R =rp R rp f Rh(R)dR 0 Rh(R)dR c (1) rp f (rp)(1 Pr[R R ]) rp > rp f R.J. Caballero (MIT) Bubbles Spring 2011 11 / 29

Final remarks Hence, due to risk shifting, P is higher than fundamental (bubble) The counterpart of the bubble is the bank losses, and hence the rest of the story... In a sense it is not a GE bubble, as the price of banks should go down... but it may well be that households are stuck... this takes us to the standard model of RE bubbles in macro, which highlights the shortage of assets.. R.J. Caballero (MIT) Bubbles Spring 2011 12 / 29

Asset shortages Let s remove uncertainty to highlight the fact that the nature of these bubbles is very different from the risk-shifting argument Read Tirole s 1982 "On the possibility of speculation under RE" (EMA)... so you realize that rational bubbles are not easy to get... But we know from Samuelson s (1958) consumption-loan model that bubbles (i.e. assets with positive price but no intrinsic value) can exist in OLG structures (infinite new traders in the horizon) and that they can be good Money in Samuelson s model, but not for its transaction service but to store value. Pareto gain from solving dynamic ineffi ciency (no capital wasted to store value). R.J. Caballero (MIT) Bubbles Spring 2011 13 / 29

A barebones version of Samuelson s model OLG. Individuals live for two periods, they are born with an endowment w t Which they save in its entirety and only consume when old (hence we can index the generations welfare by c t,t+1 ). There is no population growth, but the endowment grows at a rate γ. w t+1 = (1 + γ)w t c t,t+1 = (1 + r t )w t What is the interest rate in this economy? R.J. Caballero (MIT) Bubbles Spring 2011 14 / 29

Mother nature... The answer depends on which assets are available to store value. Samuelson first observed that the young could not save by lending to the old since the latter will not be around to repay them later (financial market incompleteness). The only option of the young is to trade with mother nature, i.e. to invest in physical capital. Let s simplify the technology side and assume that it has constant returns: π. That is, one unit of savings at t produce 1 + π at t + 1 (we could have a more standard f (k)... but main insights would be unchanged). It follows that the interest rate in this economy must be: r t = π and utility is: U MN = (1 + π)w t t R.J. Caballero (MIT) Bubbles Spring 2011 15 / 29

Social contract Is there any other solution to this model? Consider a social contract by which the young give the entire endowment to their parents who then consume it. Under this social contract the welfare of generation t is: U SC t = (1 + γ)w t If γ > π, the social contract provides a higher utility than the market! How is this possible? In each period, the resources that the market economy devotes to investment, w t, exceed the resources that it obtains from such activity, (1 + π)w t 1, wasting: (γ π)w t 1 The social contract stops this waste, and raises welfare for all R.J. Caballero (MIT) Bubbles Spring 2011 16 / 29

Bubbles More broadly: the market economy is overaccumulating capital to facilitate store of value Does this mean that the market economy is suboptimal? Not necessarily. Naturally, if γ < π the market outperforms the social contract. But even if γ > π, the market can reach the same allocation as the social contract, provided we enlarge the saving options of the young to include one irreproducible and useless object with price B t such that: B t+1 = (1 + r t )B t R.J. Caballero (MIT) Bubbles Spring 2011 17 / 29

Welfare Let x B/w. Then B t+1 (1 + r t )B t 1 + r t x t+1 = = = x t w t+1 (1 + γ)w t 1 + γ If x < 1, then r t = π and the bubble vanishes asymptotically. However, if x = 1, then r t = γ and we reproduce the social contract! That is, not only a bubble can exist, but it is also welfare enhancing. R.J. Caballero (MIT) Bubbles Spring 2011 18 / 29

Final remarks There are two Pareto-rankable stationary equilibria (bubble better than fundamental); and a continuum of non-stationary equilibria that converge to the fundamental equilibrium that provide intermediate welfare (note: all these equilibria contain bubbles, but these become small relative to the economy) Bubbles arise as a result of coordination across different generations. But this is just one of the possible equilibria, and hence the possibility of a crash is latent R.J. Caballero (MIT) Bubbles Spring 2011 19 / 29

Appendix: Abreu and Brunnermeier Behavioral biases lead to bubbles (they take this as given) Assuming that rational arbitrageurs understand that the market will eventually collapse, will they still ride the bubble? Delayed arbitrage model (riding the bubble for a while may be optimal) [connection with earlier discussion on limited arbitrage] A model of market timing Dispersion in exit strategies makes the bubble possible At some random time t 0 price surpasses the fundamental value. Thereafter, rational arbitrageurs become sequentially aware that the price has departed from fundamentals. They don t know whether they are early or late relative to others Bubble bursts when a suffi cient mass of arbitrageurs have sold out (coordination) R.J. Caballero (MIT) Bubbles Spring 2011 20 / 29

The Setup In Bubbles and Crashes, they discuss an irrational exuberance episode where after same random date t 0 the price continues to rise at some rate g > r, while the fundamental only rises at r The main economic forces in their EMA paper are also found in their simpler, JFE, paper: Synchronization Risk and Delayed Arbitrage (we will develop this one, although the connection with a bubble is less direct) There is a single risky asset with price p t and fundamental v t. Prior to the arrival of a shock at a random time t 0, the fundamental value is e rt and after that (1 + β )e rt, with β taking values β and β with equal prob., and F (t 0 ) = 1 e λt 0 Prior to the shock at t 0, p t = v t. After t 0 the price deviates from fundamentals until full arbitrage takes place (the crash if β, which we assume henceforth) R.J. Caballero (MIT) Bubbles Spring 2011 21 / 29

The Setup There are two types of agents: rational arbitrageurs and behavioral traders The only role of the latter agents is to support the mispricing and maintain the price at p t = e rt as long as the selling pressure by rational arbitrageurs lies below a threshold κ(.) The focus of the paper is on the former agents. Arbitrageurs are ex-ante identical but receive information about the deviation sequentially (uniformly) between t 0 and t 0 + η An individual arbitrageur who learns about the change in fundamental at t i (denoted by tˆi ) thinks that t 0 is distributed between t i and t i η R.J. Caballero (MIT) Bubbles Spring 2011 22 / 29

The Setup p,v (1 + β) e rt p 0 = 1 +β β e rt (1 _ β) e rt 1/η t 0 t 0 + ηκ 0 t 0 + η Random κ 0 arbs are All arbitrageurs starting aware of are aware of point the mispricing the mispricing t 0 + τ Pricing correction for exogenous reasons t Image by MIT OpenCourseWare. R.J. Caballero (MIT) Bubbles Spring 2011 23 / 29

The Setup Arbitrageurs are risk neutral but the maximum short position is x i = 1. The normal/neutral position is xi = 0. Departing from this benchmark generates ( large ) holding costs of cp t x i The price correction occurs as soon as the aggregate order imbalance of all arbitrageurs exceeds κ(t t 0 ), with (reduced form from behavioral agents) κ(t t 0 ) = κ 0 [1 (1/τ )(t t 0 )] [If the trading order exceeds κ, there is a randomization of the price at which orders are executed] Motivation: The longer the mispricing persists, the smaller is the mass of behavioral traders that remain confident that the price is right Since there are no price changes, arbitrageurs cannot infer t 0 from them while pressure is below κ(.) R.J. Caballero (MIT) Bubbles Spring 2011 24 / 29

Market Timing and Delayed Arbitrage Arbitrageur tˆi specifies a trading strategy as function of τ i = t t i. A-B focus on trigger strategies such that the arbitrageur sets x i = 0 until a date t i + τ i and x i = 1 after that (until the correction takes place) An arbitrageur that trades just before the correction achieves the highest payoff. By postponing the trade he reduces holding costs but risks missing the arbitrage opportunity (Keynes: beat the gun terminology) Let h(t tˆi ) be arbitrageur tˆi s perceived hazard rate that the price correction occurs in the next instant t. Thus, his estimate of a correction in the next (small) time interval Δ is h(t tˆi )Δ, while the holding cost is cp t Δ Thus the arbitrageur will only trade if the expected benefit βp t h(t tˆ i )Δ exceeds the expected cost of holding a nondiversified portfolio (1 h(t tˆi )Δ)cp t Δ Of course the hazard rate depends on other arbitrageurs trading strategies. A-B restrict attention to symmetric trigger strategy equilibria (based on EMA article) R.J. Caballero (MIT) Bubbles Spring 2011 25 / 29

Abreu-Brunnermeier: Market Timing and Delayed Arbitrage If all arbitrageurs trade with a delay τ, then the price correction occurs at t 0 + ϕ(τ ), where the latter is defined implicitly from ϕ(τ ) = τ + ηκ(ϕ(τ )) Using the linear expression for κ(.), we have τ + ηκ ϕ(τ 0 ) = τ τ + ηκ 0 R.J. Caballero (MIT) Bubbles Spring 2011 26 / 29

Market Timing and Delayed Arbitrage Arbitrageur tˆi knows that, in equilibrium, the price correction will occur no later than t i + ϕ(τ ) but after t i + ϕ(τ ) η Given the prior distribution on t 0, the latter observation yields a simple posterior: { 0 for t < t i + ϕ(τ ) η h(t tˆi ) = λ for t t i + ϕ(τ ) 1 exp{ λ(t i +ϕ(τ η ) t))} R.J. Caballero (MIT) Bubbles Spring 2011 27 / 29

Market Timing and Delayed Arbitrage Arbitrageur t i 's Hazard Rate βh(t i + τ t i ) c τ * τ j Image by MIT OpenCourseWare. R.J. Caballero (MIT) Bubbles Spring 2011 28 / 29

Final Remarks Arbitrage is delayed. This is possible because mispricing is never common knowledge, which preserves the disagreement about the timing of price corrections The arbitrageur who becomes immediately aware of the mispricing at t 0 knows that at t 0 + η everybody knows about the mispricing. However, the trader who only becomes aware at t 0 + η thinks that he might be the first to hear of it and he does not know that all traders already know it. Hence, even if everybody knows of the mispricing at t 0 + η, only the first trader knows that everybody knows At t 0 + 2η, even the last trader knows that everybody knows, but he does not know that everybody knows that everybody knows of the mispricing, and so on The main distinction with noise-traders is that most of the action comes from the rational traders. It is the uncertainty about the behavior of other rational traders that leads to delayed arbitrage R.J. Caballero (MIT) Bubbles Spring 2011 29 / 29

MIT OpenCourseWare http://ocw.mit.edu 14.454 Economic Crises Spring 2011 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.