Rational bubbles and portfolio constraints Julien Hugonnier Swiss - - PDF document

rational bubbles and portfolio constraints
SMART_READER_LITE
LIVE PREVIEW

Rational bubbles and portfolio constraints Julien Hugonnier Swiss - - PDF document

Rational bubbles and portfolio constraints Julien Hugonnier Swiss Finance Institute @ EPFL sfi.epfl.ch May 11, 2012 Arbitrage The absence of arbitrage , defined as the possibility of simultaneously buying and selling the same security at


slide-1
SLIDE 1

Rational bubbles and portfolio constraints

Julien Hugonnier Swiss Finance Institute @ EPFL sfi.epfl.ch May 11, 2012

Arbitrage

  • The absence of arbitrage, defined as the possibility of simultaneously

buying and selling the same security at different prices, is the most fundamental concept of finance.

  • To make a parrot into a trained financial economist it suffices to teach

him a single word: arbitrage.

  • S. Ross (1987)

Bubbles and portfolio constraints 2/42

slide-2
SLIDE 2

Anomalies

  • But significant violations of this basic paradigm are often observed

in real world markets.

  • A famous example is the simultaneous trading of Royal Dutch and

Shell in Amsterdam and London:

  • The two companies merged in 1907 on a 60/40 basis
  • Cash flows are attributed to the stocks in these proportions
  • Despite this RD traded at a significant premium relative to Shell

throughout most of the 1990’s.

  • Other examples: Molex, Unilever NV/PLC, 3Com/Palm...

Bubbles and portfolio constraints 3/42

Royal Dutch/Shell

−10 −5 5 10 15 20 25 90 91 92 93 94 95 96 97 98 99 00 Deviation from parity (%) Time

Bubbles and portfolio constraints 4/42

slide-3
SLIDE 3

Royal Dutch/Shell

−10 −5 5 10 15 20 25 90 91 92 93 94 95 96 97 98 99 00 Deviation from parity (%) Time

Bubbles and portfolio constraints 4/42

Royal Dutch/Shell

−10 −5 5 10 15 20 25 90 91 92 93 94 95 96 97 98 99 00 Deviation from parity (%) Time

LTCM enters Bubbles and portfolio constraints 4/42

slide-4
SLIDE 4

Royal Dutch/Shell

−10 −5 5 10 15 20 25 90 91 92 93 94 95 96 97 98 99 00 Deviation from parity (%) Time

LTCM enters LTCM collapses Bubbles and portfolio constraints 4/42

Theory

  • Neo–classical theory has little to say:
  • The workhorse model of modern asset pricing is the representative

agent model of Lucas (1974).

  • In this model mispricing on positive net supply assets is incompatble

with the existence of an equilibrium.

  • Most of the work on the origin of bubbles is behavioral
  • Common feature: partial equilibrium setting.
  • Different definition of the fundamental value which implies that bubbles

are not connected to arbitrage activity.

Bubbles and portfolio constraints 5/42

slide-5
SLIDE 5

Portfolio constraints

  • There are some models where arbitrages arise endogenously due to

portfolio constraints.

  • Common feature: all agents are constrained, riskless arbitrage
  • If the constraints are lifted for some agents then mispricing becomes

inconsistent with equilibrium.

  • This need not be the case with risky arbitrage: portfolio constraints

can generate bubbles in equilibrium even if there are unconstrained arbitrageurs in the economy.

Bubbles and portfolio constraints 6/42

This paper

  • Continuous-time model with two groups of agents:
  • Unconstrained agents,
  • Constrained agents with logarithmic utility.
  • Necessary and sufficient conditions under which portfolio constraints

generate bubbles in equilibrium.

  • When there are multiple stocks, the presence of bubbles may give rise

to multiplicity and real indeterminacy.

  • Examples of innocuous portfolio constraints, including limited market

participation, that generate bubbles in equilibrium.

Bubbles and portfolio constraints 7/42

slide-6
SLIDE 6

Related literature

  • Behavioral models:
  • Harrison and Kreps (1979), DeLong et al. (1990), Scheinkman and

Xiong (2003), Abreu and Brunnermeier (2003).

  • Equilibrium under constraints:
  • Basak and Cuoco (1997), Detemple and Murthy (1997), Shapiro

(2002), Pavlova and Rigobon (2007), Garleanu and Pedersen (2010).

  • Equilibrium mispricing:
  • Santos and Woodford (1997), Loewenstein and Willard (2000,2008),

Basak and Croitoru (2000,2006), Grombs and Vayanos (2002),...

  • Partial equilibrium:
  • Cox and Hobson (2005), Jarrow et al. (2008,2010),...

Bubbles and portfolio constraints 8/42

Outline

  • 1. The model
  • 2. Equilibrium bubbles
  • 3. Limited participation
  • 4. Multiplicity

Bubbles and portfolio constraints 9/42

slide-7
SLIDE 7

The model

  • Continuous–time economy on [0, T].
  • One perishable consumption good and n + 1 traded securities:
  • A locally riskless asset in zero net supply,
  • n risky assets in positive net supply of one unit each.
  • The price of the riskless asset evolves according to

dS0t = rtS0tdt where the instantaneously risk free rate process rt is to be determined endogenously in equilibrium

Bubbles and portfolio constraints 10/42

Risky assets

  • Dividends evolve according to

dδt = diag(δt) (µδtdt + σδtdBt) for some exogenous (µδ, σδ) where B is a BM in Rn.

  • The stock prices evolve according to

dSt + δtdt = diag(St) (µtdt + σtdBt) . where the initial price S0, the drift µt and the volatility σt are to be determined endogenously in equilibrium.

Bubbles and portfolio constraints 11/42

slide-8
SLIDE 8

Agents

  • Two agents indexed by a = 1, 2.
  • The preferences of agent a are represented by

Ua(c) = E0 T e−ρτua(cτ)dτ

  • where ρ is a nonnegative discount rate, u2 ≡ log and u1 is a utility

function satisfying textbook regularity conditions.

  • Agent 2 is initially endowed with β units of the riskless asset and a

positive fraction αi of the supply of stock i.

Bubbles and portfolio constraints 12/42

Trading strategies

  • A trading strategy is a process (φ, π) ∈ R × Rn.
  • The strategy (φ, π) is self financing for agent a given a consumption

plan c if the corresponding wealth process Wt = Wt(φ, π) ≡ φt + 1∗πt satisfies the dynamic budget constraint Wt = wa + t (φτrτ + π∗

τµτ − cτ)dτ +

t π∗

τστdBτ

where the constant wa denotes the agent’s initial wealth computed at equilibrium prices.

Bubbles and portfolio constraints 13/42

slide-9
SLIDE 9

Portfolio constraints

  • Agent 1 is unconstrained (except for Wt ≥ 0)
  • Agent 2 is constrained: I assume that the trading strategy that he

chooses must satisfy Amount in stocks = πt∈ WtCt as well as Wt ≥ 0 where Ct ⊆ Rn is a closed convex set.

  • A wide variety of constraints, including constraints on short selling,

collateral constraints, borrowing and participation constraints can be modeled in this way.

Bubbles and portfolio constraints 14/42

Equilibrium

  • An equilibrium is a collection of prices, consumption plans and trad-

ing strategies such that:

(a) ca maximizes Ua and is financed by (φa, πa), (b) The securities and goods markets clear φ1 + φ2 = 0, π1 + π2 = S, c1 + c2 = 1∗δ ≡ e.

  • I will restrict the analysis to the class of non redundant equilibria in

which the stock volatility is invertible.

Bubbles and portfolio constraints 15/42

slide-10
SLIDE 10

Rational stock bubbles

  • A traded security is said to have a bubble if its market price differs

from its fundamental value: Bit ≡ Sit − Fit.

  • Since markets are complete for Agent 1, the fundamental value of a

stock is unambiguously defined as Fit = 1 ξt Et T

t

ξτδiτdτ

  • where the process

ξt = 1 S0t exp

t θ∗

τdBτ − 1

2 t θτ2dτ

  • is the SPD and θ is the market price of risk.

Bubbles and portfolio constraints 16/42

Basic properties

  • A bubble is nonnegative and satisfies BiT = 0.
  • A bubble cannot be born: if Bit = 0 then Biτ = 0 for all τ ≥ t.
  • A bubble is not an arbitrage: The strategy which
  • Sells the stock short,
  • Buys the replicating portfolio,
  • Invests the remainder in the riskless asset,

has wealth process Wt = Bi0S0t − Bit and thus is not admissible on its own (even if the positive wealth constraint is relaxed to allow for bounded credit).

Bubbles and portfolio constraints 17/42

slide-11
SLIDE 11

Riskless asset bubble

  • Over [0, T] the riskless asset can be seen as a European derivative

security with pay–off S0T at the terminal time.

  • The fundamental value of such a security is

F0t = Et ξT ξt S0T

  • = S0t Et

MT Mt

  • where Mt ≡ ξtS0t.
  • The existence of a bubble on the riskless asset is equivalent to the

non existence of the EMM.

Bubbles and portfolio constraints 18/42

The equilibrium SPD

  • Proposition. In equilibrium

ξt = e−ρt uc(et, λt) uc(e0, λ0) where et is the aggregate dividend process, λt is the ratio of the agents’ marginal utilities and u(e, λt) = max

c1+c2=e {u1(c1) + λtu2(c2)} .

  • Since the allocation is inefficient, λ is not a constant but a stochastic

process that acts as an endogenous state variable.

Bubbles and portfolio constraints 19/42

slide-12
SLIDE 12

Bubble on the market portfolio

n

  • i=1

Bit =

n

  • i=1

Sit − Et T

t

e−ρ(τ−t) uc(eτ, λτ) uc(et, λt) eτdτ

  • = W1t + W2t − Et

T

t

e−ρ(τ−t) uc(eτ, λτ) uc(et, λt) eτdτ

  • = W2t − Et

T

t

e−ρ(τ−t) uc(eτ, λτ) uc(et, λt) c2τdτ

  • = Et

T

t

e−ρ(τ−t) uc(eτ, λτ) uc(et, λt) λt λτ − 1

  • c2τdτ
  • =

1 uc(et, λt)Et T

t

e−ρ(τ−t)(λt − λτ)dτ

  • (u2 = log)

Bubbles and portfolio constraints 20/42

Equilibrium bubbles

  • Proposition. In equilibrium,

λt = λ0 − t λτ (θτ − Π (θτ|σ∗

τCτ))∗ dBτ

where Π is the projection operator and θ solves θt = σetRt + stRt (θt − Π(θt|σ∗

t Ct))

with Rt = −ucc(et, λt) uc(et, λt) et, st = c2t et = λt uc(et, λt). The weighting process is a local martingale and it is a martingale if and only if the stock prices do not include bubbles.

Bubbles and portfolio constraints 21/42

slide-13
SLIDE 13

Limited participation

  • Consider the following specification:
  • There is a single stock,
  • Both agents have logarithmic utility,
  • The dividend is a GBM with drift µδ and volatility σδ,
  • Ct = [0, 1 − ε] for some 0 ≤ ε ≤ 1.
  • Assume β < (1 − α)δ0T to guarantee that the unconstrained agent

is not so deeply in debt that he can never repay.

  • Special cases include
  • Unconstrained economy (ε = 0).
  • Restricted participation model of Basak and Cuoco (ε = 1).

Bubbles and portfolio constraints 22/42

Equilibrium

  • Proposition. Let λ denote the unique solution to

λt = w2 w1 − t λτ(1 + λτ)σλdBτ with σλ = εσδ. In the unique equilibrium, the consumption plans and trading strategies are given by φ1t = −ελtW1t, π1t = (1 + ελt)W1t, c1t = et 1 + λt , φ2t = εW2t, π2t = (1 − ε)W2t, c2t = etλt 1 + λt , and the stock price is St/et = T

t e−ρ(τ−t)dτ ≡ η(t).

Bubbles and portfolio constraints 23/42

slide-14
SLIDE 14

Equilibrium bubbles

  • The weighting process is a strict local martingale!
  • Proposition. The riskless asset and the stock both include bubble

components that are given by Bt St = b(t, st) ≤ b0(t, st) = B0t S0t where the bounded process st = c2t et = λt 1 + λt represents the constrained agent’s share of aggregate consumption and b, b0 are known functions.

Bubbles and portfolio constraints 24/42

Bubbles

  • The bubbles are explicitly given by

b0(t, T, s) ≡ s−1/εH (T − t, s; a0) , b(t, s) ≡ 1 ρη(t)H (T − t, s; a1) + η′(t) ρη(t)H (T − t, s; 1) , where a0, a1 are constants H(τ, s; a) ≡ s

1+a 2 Φ(d+(τ, s; a)) + s 1−a 2 Φ(d−(τ, s; a)),

d±(τ, s; a) ≡ 1 vλ√τ log s ± a 2vλ√τ, and Φ denotes the normal cdf.

Bubbles and portfolio constraints 25/42

slide-15
SLIDE 15

Strict local martingale

2 4 6 8 10 2 4 6 8 10 Expected value E[λT |λ0] Initial value λ0 1 2 3 4 2 4 6 8 10 Expected value E[λT |λ0] Horizon T martingale

Bubbles and portfolio constraints 26/42

Strict local martingale

2 4 6 8 10 2 4 6 8 10 Expected value E[λT |λ0] Initial value λ0 1m 1 2 3 4 2 4 6 8 10 Expected value E[λT |λ0] Horizon T martingale 2 4 6 8 10 2 4 6 8 10 Expected value E[λT |λ0] Initial value λ0 1m 1 2 3 4 2 4 6 8 10 Expected value E[λT |λ0] Horizon T

Bubbles and portfolio constraints 26/42

slide-16
SLIDE 16

Strict local martingale

2 4 6 8 10 2 4 6 8 10 Expected value E[λT |λ0] Initial value λ0 1m 6m 1 2 3 4 2 4 6 8 10 Expected value E[λT |λ0] Horizon T martingale 2 4 6 8 10 2 4 6 8 10 Expected value E[λT |λ0] Initial value λ0 1m 6m 1 2 3 4 2 4 6 8 10 Expected value E[λT |λ0] Horizon T

Bubbles and portfolio constraints 26/42

Strict local martingale

2 4 6 8 10 2 4 6 8 10 Expected value E[λT |λ0] Initial value λ0 1m 6m 1y 1 2 3 4 2 4 6 8 10 Expected value E[λT |λ0] Horizon T martingale 2 4 6 8 10 2 4 6 8 10 Expected value E[λT |λ0] Initial value λ0 1m 6m 1y 1 2 3 4 2 4 6 8 10 Expected value E[λT |λ0] Horizon T

Bubbles and portfolio constraints 26/42

slide-17
SLIDE 17

Strict local martingale

2 4 6 8 10 2 4 6 8 10 Expected value E[λT |λ0] Initial value λ0 1m 6m 1y 1 2 3 4 2 4 6 8 10 Expected value E[λT |λ0] Horizon T 4 2 1 martingale 2 4 6 8 10 2 4 6 8 10 Expected value E[λT |λ0] Initial value λ0 1m 6m 1y 1 2 3 4 2 4 6 8 10 Expected value E[λT |λ0] Horizon T 4 2 1

Bubbles and portfolio constraints 26/42

Equilibrium bubbles

25 50 75 100 25 50 75 100 Bubble/price (%) Horizon T 25 50 75 100 25 50 75 100 Bubble/price (%) Initial share s0 (%) Stock Bond

Bubbles and portfolio constraints 27/42

slide-18
SLIDE 18

Mechanism

  • Agent 2 must keep some wealth in the bank.
  • Agent 1 must find it optimal to hold a leveraged position.
  • This implies that the short rate must decrease and the market price
  • f risk must increase. Indeed:

rt = ρ + µδ − (1 + ελt)|σδ|2 = r nc

t

− ελt|σδ|2, θt = (1 + ελt)σδ = θnc

t + ελtσδ.

  • But this is not sufficient to entice Agent 1 to hold the highly leveraged

portfolio necessary to clear markets.

Bubbles and portfolio constraints 28/42

Equilibrium portfolio

  • The equilibrium portfolio of Agent 1 can be decomposed into: A short

position of size mt ≡ St 1/(εst) + ∂s log b0(t, st) > 0 in the riskless asset bubble and a long position in the stock.

  • The first part is an arbitrage strategy with negative value
  • This strategy is not admissible by itself,
  • The bubble on the stock raises its collateral value and allows the agent

to scale his position to the required level.

Bubbles and portfolio constraints 29/42

slide-19
SLIDE 19

Consumption share

  • The equilibrium consumption share of the constrained agent can be

explicitly computed as st = c2t c1t + c2t = λt 1 + λt ≡ s(λt).

  • Since the weighting process is a nonnegative local martingale and

the function s is increasing and concave, the consumption share is a supermartingale and is thus expected to decrease.

  • This would be the case even if the weighting process λt was a true

martingale (comp. heterogenous beliefs) but the presence of bubbles increases the speed at which s decreases.

Bubbles and portfolio constraints 30/42

Expected consumption share

25 50 75 25 50 75 Expected cons. share E[st|s0] (%) Horizon s0 75% 50% 25%

Bubbles and portfolio constraints 31/42

slide-20
SLIDE 20

Consumption share

2 4 6 8 10 12 0.25 0.5 0.75 1 Transition density Consumption share Martingale Weighting process 6 months

Bubbles and portfolio constraints 32/42

Consumption share

2 4 6 8 10 12 0.25 0.5 0.75 1 Transition density Consumption share Martingale Weighting process 1 year

Bubbles and portfolio constraints 32/42

slide-21
SLIDE 21

Consumption share

2 4 6 8 10 12 0.25 0.5 0.75 1 Transition density Consumption share Martingale Weighting process 5 years

Bubbles and portfolio constraints 32/42

Consumption share

2 4 6 8 10 12 0.25 0.5 0.75 1 Transition density Consumption share Martingale Weighting process 10 years

Bubbles and portfolio constraints 32/42

slide-22
SLIDE 22

Consumption share

2 4 6 8 10 12 0.25 0.5 0.75 1 Transition density Consumption share Martingale Weighting process 20 years

Bubbles and portfolio constraints 32/42

Consumption share

2 4 6 8 10 12 0.25 0.5 0.75 1 Transition density Consumption share Martingale Weighting process 40 years

Bubbles and portfolio constraints 32/42

slide-23
SLIDE 23

Consumption share

2 4 6 8 10 12 0.25 0.5 0.75 1 Transition density Consumption share Martingale Weighting process 60 years

Bubbles and portfolio constraints 32/42

Multiple risky assets

  • If there is no bubble in the market portfolio, then the stock prices

are given by the familiar formula St ≡ Ft = Et T

t

e−ρ(τ−t) uc(eτ, λτ) uc(et, λt) δτdτ

  • .
  • The existence of a bubble-free equilibrium is thus equivalent to the

existence of a solution to a FBSDE.

  • If such a solution does not exists, then only the value of the market

portfolio is uniquely determined.

Bubbles and portfolio constraints 33/42

slide-24
SLIDE 24

Multiplicity

  • Proposition. A process S ∈ Rn

+ with invertible volatility matrix σ is

an equilibrium price process if and only if

n

  • i=1

Sit = Et T

t

e−ρ(τ−t) uc(eτ, λτ)eτ + λt − λτ uc(et, λt) dτ

  • and the discounted process

e−ρt uc(et, λt) uc(e0, λ0)St + t e−ρτ uc(eτ, λτ) uc(e0, λ0) δτdτ is a nonnegative local martingale.

  • For risk constraints of the form Ct = (σ∗

t )−1C o t the weighting process

can be determined independently of the prices.

Bubbles and portfolio constraints 34/42

Volatility constraints

  • Consider the following specification:
  • There are two stocks,
  • Agents have logarithmic utility,
  • The aggregate dividend is a GBM with drift µe and volatility σe,
  • The dividend share x1t = δ1t/et is a martingale that is independent

from the aggregate dividend process.

  • The portfolio constraint set is

Ct =

  • p ∈ R2 : σ∗

t p ≤ (1 − ε)σe

  • .
  • This constraint restricts the volatility of the agent’s wealth to be less

than a fixed fraction of that of the market.

Bubbles and portfolio constraints 35/42

slide-25
SLIDE 25

Equilibrium

  • Proposition. Define λ as the unique solution to

λt = w2 w1 − t λτ(1 + λτ)ˆ σ∗dBτ. In equilibrium, the short rate, the risk premia, the fundamental value

  • f the stocks and the value of the market are

rt = ρ + µe − (1 + ελt)σe2, Fit = δitη(t)(1 − b(t, st)), θt = (1 + ελt)σe, St = etη(t). Furthermore, bubbles account for a fraction b0(t, st) of the riskless asset and b(t, st) of the market portfolio.

Bubbles and portfolio constraints 36/42

Equilibrium prices

  • Proposition. Let s0 = s0(φ) ∈ [0, 1] solve

β + e0η(0)α∗ (x0 + (φ − x0)b(0, s0)) = s0e0η(0). and denote by st(φ) the corresponding path of the consumption share

  • process. Then the nonnegative process

St(φ) = etη(t) (xt + (φ − xt)b(t, st)) is an equilibrium price process for each φ ∈ ∆2. In particular, the set

  • f non redundant equilibria is non empty.
  • Since all equilibria are Markovian this shows that we have not only

multiplicity but also real indeterminacy if (α1 = α2).

Bubbles and portfolio constraints 37/42

slide-26
SLIDE 26

Parameter values

Symbol Name Value µe Market return 8.25% σe Market volatility 16.64% σx

  • Vol. dividend share

20.00% x10 Initial dividend share 50.00% β Initial position in bank 0.00% α1 Initial position in S1 100.00% α2 Initial position in S2 0.00%

Bubbles and portfolio constraints 38/42

Real indeterminacy

30 40 50 60 70 25 50 75 100 Consumption share (%) Bubble share φ1 (%) Agent 2 Agent 1 20 25 30 35 25 50 75 100 Expected utility U2(φ) Bubble share φ1 (%)

Bubbles and portfolio constraints 39/42

slide-27
SLIDE 27

Nominal indeterminacy

12 16 20 24 28 32 36 25 50 75 100 Initial equilibrium prices Bubble share φ1 (%) Stock 1 Stock 2 F1,2 10 20 30 40 50 25 50 75 100 Equilibrium values (%) Bubble share φ1 (%) Short rate MPR

Bubbles and portfolio constraints 40/42

Some extensions

  • CRRA utility for Agent 1: bubbles persist if γ ≥ 1
  • Uncollateralized borrowing (Hugonnier and Prieto (2010)):
  • Equilibrium fails if bound formulated in terms of S0t
  • Equilibrium exists if bound formulated in terms of the market portfolio.
  • Other types of constraint: Prieto (2010) shows that certain risk-based

constraints also give rise to bubbles.

  • Bubbles also arise in general equilibrium models with proportional

transaction costs (Cujean (2011))

Bubbles and portfolio constraints 41/42

slide-28
SLIDE 28

Thank you!

Bubbles and portfolio constraints 42/42