lecture 4: fire sales and the asset market...

40
Lecture 4: Fire Sales and the Asset Market Feedback Alp Simsek June 23, 2014 Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 1 / 40

Upload: others

Post on 01-Apr-2020

0 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Lecture 4: Fire Sales and the Asset Market Feedback

Alp Simsek

June 23, 2014

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 1 / 40

Page 2: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Introduction: Amplification from asset prices

So far: Demand for insurance. Some reasons why supply is limited.

Next: Assume underinsurance and focus on amplification mechanisms.

An important source of amplification seems to be asset prices.

During a severe crisis, prices of risky assets fall.This lowers Es net worth, which might further increase distress.

But why do asset prices fall? Is it just fundamentals?

They typically “recover.”Countercyclical risk premia.

Today: Fire sales, asset market feedback. Role of leverage.

We start with a related topic, limits to arbitrage.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 2 / 40

Page 3: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Roadmap

1 Limits to arbitrage and fire sales

2 Asset market feedback

3 A case study: LTCM

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 3 / 40

Page 4: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Negative stub values (from Lamont and Thaler)

Arbitrage is ruled out in traditional asset pricing models.

In practice, there is occasionally close-arb opportunities.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 4 / 40

Page 5: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Another example: Siamese twins (from Lamont and Thaler)

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 5 / 40

Page 6: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

A theory of limits to arbitrage

Ingredients for limits to arbitrage:

1 Heterogeneous valuations (noise traders, arbs).2 “Noise trading”opens an “arbitrage”wedge.3 Arbs are unable to close the wedge for a few reasons (Shleifer andVishny, 1997):

Constraints on positions, e.g., short selling diffi cult or costly.Arbitrage requires capital (margins for long/short positions).Uncertainty and performance based arbitrage (PBA):

Arb might be fundamentally risky.Arb might be risky in the short run. Short horizons. Why?

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 6 / 40

Page 7: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

A related phenomenon is fire sales

Shleifer-Vishny (1992) parable to illustrate fire sales:

Indebted farmer with low current cash flow.

Cannot reschedule debt or borrow more.

Must liquidate (sell) the farm to pay back its creditors.

Potential buyers:

Low valuation: Baseball field or deep pocket investor.High valuation: Neighbor farmer.

Neighbor is simultaneously distressed (industry wide shocks) andthus also borrowing constrained.The farm is sold to low valuation user at fire sale price (lower thanvalue at best use).

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 7 / 40

Page 8: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Example from Mitchell, Pedersen, Pulvino (2007)

Convertible hedge funds had to lower their positions because theirfinanciers pulled out (due to low realized returns).

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 8 / 40

Page 9: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Other investors did not step in and the price fell below the theoreticalvalue for an extended period.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 9 / 40

Page 10: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

A theory of fie sales

Ingredients for fire sales:

1 Heterogeneous valuations (distressed seller, various buyers).2 Sales by distressed agents pushes the price.3 High valuation users unable to buy because they are simultaneouslydistressed.

Note the parallels between limits-to-arbitrage and fire sales.

Next: Kiyotaki-Moore (1997) model to illustrate fire-sales andamplification.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 10 / 40

Page 11: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Roadmap

1 Limits to arbitrage and fire sales

2 Asset market feedback

3 A case study: LTCM

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 11 / 40

Page 12: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Asset market feedback and amplification

Kiyotaki-Moore (1997) main result: Asset market feedback.

A shock that simultaneously hits many Es triggers fire sales.

This further lowers Es net worth.

Low net worth lowers prices further and exacerbates the crisis.

Leverage (underinsurance) key for the argument.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 12 / 40

Page 13: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Consider a dynamic environment with Es and Fs

An economy with periods t ∈ {0, 1, .., } and a single consumptiongood (dollar).

Two types of investors: Measure one of Es and Fs, with preferences:∑t β

tct .

Fs have a large endowment, e in all periods. Ensures that the interestrate is fixed at 1+ r ≡ 1/β.Fixed supply (of k units) capital, which does not depreciate.

Let qt denote the price of capital and kt and kt denote E’s and Fs’capital holdings. Capital market clearing:

kt + kt = k. (1)

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 13 / 40

Page 14: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

E faces a collateral constraint

Given capital kt , E produces F (kt) = akt with limited pledgeability.

Date t + 1 value of E’s assets: (a+ qt+1) kt+1,Pledgeable assets: qt+1kt+1.

Collateral constraint:

bt+1 ≤ qt+1kt+1.

Friction (Hart and Moore, 1994): Inalienability of humancapital.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 14 / 40

Page 15: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

E chooses her borrowing, consumption, and investment

E also faces a flow of funds constraint (FF):

ct + qtkt+1 = nt +1

1+ rbt+1 for each t ≥ 0, (2)

where her net worth is given by:

nt = (a+ qt) kt − bt .

Net worth is endogenous because it depends on the asset price and pastinvestment decisions.

E’s problem: Given the initial condition (a0, b0, k0) and the pricesequence {qt}∞t=0, choose {ct , kt+1, bt+1}

∞t=0 to maximize

∑∞t=0 β

tctsubject to (FF) and (CC).(Allow a0 6= a. Will consider shocks to this)

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 15 / 40

Page 16: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Fs’technology and problem

Fs have a backyard production technology yt+1 = G(kt), where

G (·) is strictly increasing, concave, and satisfies Inada-typeconditions: G ′ (0) =∞ and G ′

(k)< a.

Fs’flow-of-funds constraint:

ct + qt(kt+1 − kt

)= e + bt −

11+ r

bt+1 + G(kt)for each t ≥ 0.

Fs choose{ct , kt+1

}∞t=0

to maximize∑∞t=0

(11+r

)tct .

Since e is large (by assumption), Fs always have ct > 0 and isunconstrained in choosing kt+1. FOC implies:

qt −1

1+ rqt+1 =

11+ r

G ′(kt+1

).

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 16 / 40

Page 17: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Fs are the low valuation users of Shleifer-Vishny

Using capital market clearing (1), F’s FOC yields a downwardsloping residual demand curve:

qt −1

1+ rqt+1︸ ︷︷ ︸

rental rate (user cost) of capital

=1

1+ rG ′

k − kt+1︸ ︷︷ ︸residual demand by F

. (3)

The more has to be sold to F, the lower is the price.

Note that this is equivalent to the following asset pricing equation:

qt =∞∑j=1

(1

1+ r

)jG ′(k − kt+j

). (4)

Fs are passive and can be replaced by Eq. (3) or Eq. (4).

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 17 / 40

Page 18: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Definition of equilibrium

DefinitionEquilibrium is a collection of allocations {ct , kt , bt}∞t=0 and prices {qt}

∞t=0

such that E chooses her allocation optimally subject to (FF) and (CC),and prices satisfy the downward sloping demand equation Eq. (3) [whichcaptures Fs’optimization plus capital market clearing].

Next:

Benchmark without financial frictions.

Equilibrium with frictions and the asset market feedback.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 18 / 40

Page 19: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Frictionless benchmark features a constant asset price

First consider the benchmark with no borrowing constraints.

FOC for E’s problem:

qt −1

1+ rqt+1 =

11+ r

a. (5)

Combining this with Eq. (3), the unconstrained capital level isuniquely solved as kt+1 ≡ k∗ that satisfies:

a = G ′(k − k∗

).

Rolling over (5), the unconstrained price level is:

q∗ =ar.

Es’initial net worth has no effect on investment or asset price.Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 19 / 40

Page 20: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Characterizing the equilibrium with constraints

Suppose k0 < k∗ and conjecture an equilibrium (verify later) in which:

1 For t < T cons (T cons can be zero), E is constrained: consumesnothing (i.e., ct = 0) and borrows as much as possible (i.e.,bt+1 = qt+1kt+1) to invest in the asset. Constrained to choosekt+1 < k∗.

2 For t ≥ T cons , E is unconstrained. Price of capital and the level ofinvestment are:

qt = q∗ =arand kt+1 = k∗.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 20 / 40

Page 21: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

When constrained, E makes a leveraged investment

Under the conjecture, ct = 0 and bt+1 = qt+1kt+1 for t < T cons .

Plugging these into (FF) implies that E makes a leveraged investment:(qt −

11+ r

qt+1

)︸ ︷︷ ︸

downpayment per unit investment

kt+1 = nt︸︷︷︸net worth

.

Observation: With the collateral constraint, the requireddownpayment is the same as the rental rate of capital.

In view of this, we can write the previous equation as:

11+ r

G ′(k − kt+1

)kt+1 = nt for t < T cons . (6)

Defines implicit function, knext (nt), increasing in nt . Intuition?

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 21 / 40

Page 22: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

How to characterize the equilibrium?

Equilibrium is the intersection of two equations that relate k1 and q0:

1 Net worth relation (backward looking): Plugging in the initiallevel of net worth, n0 = a0 + q0k0 − b0, initial investment is given by:

k1 = knext (a0 + q0k0 − b0) .

2 Asset pricing relation (forward looking): that characterizes q0 interms of k1,

q0 = qpricing0 (k1) .

To obtain the asset pricing relation, we first need to characterize theevolution of capital for a given level of k1.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 22 / 40

Page 23: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Evolution of capital given initial investment

Consider the evolution of capital given initial investment level, k1.

Note that (CC) is binding for each t < T cons , which implies:

nt+1 = (a+ qt+1) kt+1 − bt+1 = akt+1.

The evolution of capital is then given by:

kt+1 = min(knext (akt) , k∗

)for each t ≥ 1. (7)

Using Eq. (6) and steady-state relation, G ′(k − k∗

)= a, prove:

1 If kt < k∗

1+r , then knext (akt) ∈ ((1+ r) kt , k∗).

2 If kt ≥ k∗

1+r , then knext (ak∗) ≥ k∗ and kt+1 = k∗.

Given any k1 < k∗, capital level grows and eventually reaches k∗.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 23 / 40

Page 24: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Obtaining the asset pricing relation

Eq. (7) uniquely defines the path of capital, {kt}∞t=1.Moreover, increasing k1 increases each kt . Intuition?Eq. (4) then uniquely determines the asset price:

qpricing0 (k1) =∞∑j=1

(1

1+ r

)jG ′(k − kj

).

Note that this is an increasing relation. Intuition?

Net worth relation, k1 = knext (a0 + q0k0 − b0), is also increasing.Therefore...

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 24 / 40

Page 25: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Picture of a (stable) equilibrium

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 25 / 40

Page 26: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Consider a shock to E’s net worth

What happens if there are multiple intersections?

Next: Assume there is a unique intersection (or consider the localneighborhood of an intersection) and consider a financial shock:

A temporary productivity shock that lowers date 0 output from a0 = a toa0 = a−∆a. (Equivalently, can consider a debt-deflation that increases b0to b0 + ∆b).

Recall that this would have no effect in the frictionless benchmark.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 26 / 40

Page 27: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Asset market feedback amplifies the net worth channel

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 27 / 40

Page 28: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Picture from KM: Dynamic linkages

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 28 / 40

Page 29: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

The role of non-contingent debt

Suppose initial debt is contingent on the value of the asset:

b0 (s) = q0 (s) k0.

Or suppose can default without recourse: b0 (s) = min (b0, q0 (s) k).

E’s net worth in these versions of the model:

n0 (s) = a (s) + q0 (s) k0 − b0 (s) = a (s) .

Net worth relation: k1 = knext (a (s)) is independent of q0 (s).Price feedback is gone (see next slide). Intuition?

Does Hart-Moore friction imply non-contingent or contingent debt?

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 29 / 40

Page 30: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

The role of non-contingent debt

Amplification requires non-contingent debt (and recourse if collateral).

Empirically reasonable but not supported by the Hart-Moore friction.

More generally, need underinsurance. Open problem.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 30 / 40

Page 31: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Roadmap

1 Limits to arbitrage and fire sales

2 Asset market feedback

3 A case study: LTCM

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 31 / 40

Page 32: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

An example for the mechanisms: LTCM

LTCM was founded in 1994 by John Meriwether and other traderswho left Salomon Bros. after the Treasury bond scandal of 1991.

Bob Merton and Myron Scholes joined them.

Strategies bet on convergence of prices of closely related securities,e.g.

On-the-run vs. off-the-run Treasuries,Mortgage-backed securities (MBS) vs. treasuries,High-yield vs. low-yield bonds in the Euro area.

Within each pair, the securities are normally highly correlated.

Across pairs, the long positions normally have low correlation.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 32 / 40

Page 33: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Evolution of risk

LTCM strategies deliver high returns only if leveraged.

Capital $5-7 billion in 1996-97.

Total assets about $125 billion, so 25:1 leverage.

Fees were 2% of capital + 25% of profits ($1.5 billion in 1997).

Problem: narrowing spreads meant high profits but poorer futureinvestment opportunities.

At the end of 1997, LTCM returned $2.7 billion to investors toincrease leverage.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 33 / 40

Page 34: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

LTCM’s leverage and asset growth

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 34 / 40

Page 35: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Crisis in 1998: The shock

Preliminary problems in May and June 1998 from widening MBSspread (16% loss from end 1997).

August 17, 1998 Russia announced surprise debt restructuring.

“Flight to liquidity”: all credit spreads widened.

=⇒ Additional losses (by August, 52% loss).

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 35 / 40

Page 36: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Leverage amplifies the shock

LTCM had about $5B capital. Invested in about $125B assets.

It takes about 2% reduction in value of assets for LTCM to lose about50% of its capital.

What happens after the loss:

After such a loss, LTCM’s new balance sheet:

About $2.5B capital,About $122.5B assets.

New leverage ratio is about 49:1 (actual number 55:1).

The leverage ratio mechanically increases. LTCM has to reduce itsleverage ratio (margin calls).

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 36 / 40

Page 37: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

How to reduce the leverage ratio?

Two ways to reduce the leverage ratio:

1 Raise new capital: Ruled out by KM.Diffi cult shortly after you made a big loss (52% loss). Also diffi cultduring a turmoil.

LTCM sought additional capital September 2 but obtained none.

2 Deleveraging: Sell assets.

To get back to 25:1 ratio, LTCM has to sell about $60B of its assets!

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 37 / 40

Page 38: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Large asset sales reduce prices further

KM channel: Deleveraging leads to fire sales.Fire sales are accelerated by predatory trading (Brunnermeier andPedersen, 2005):

Business Week (February 26, 2001): “If lenders know that a hedgefund needs to sell something quickly, they will sell the sameasset– driving the price down even faster. Goldman Sachs & Co. andother counterparties to LTCM did exactly that in 1998.”

KM channel: Price feedback further increases LTCM’s losses.September 23 bailout organized by Federal Reserve Bank of New York(92% loss).

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 38 / 40

Page 39: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 39 / 40

Page 40: Lecture 4: Fire Sales and the Asset Market Feedbackecon.bilkent.edu.tr/wp-content/uploads/2014/06/fireSales... · 2017-09-05 · A theory of limits to arbitrage Ingredients for limits

Taking stock: Fire sales and asset market feedback

Limits to arbitrage, fire sales: Heterogeneous valuations andborrowing constraints.

Asset market feedback: Fire sales exacerbate financial distress.Leverage (non-contingent debt, underinsurance) plays a key role.

Next time: Understanding the leverage ratios. Further amplification.

Alp Simsek () Macro-Finance Lecture Notes June 23, 2014 40 / 40