The growth of emerging economies and global macroeconomic stability
Vincenzo Quadrini
University of Southern California
June 21, 2015
0 0.2 0.4 0.6 0.8 1 1.2
1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013
GDP of Emerging Countries Relative to
Industrialized Countries
At Parchasing Power Parity At Nominal Exchange Rates
‐0.3
‐0.2
‐0.1 0.0 0.1 0.2 0.3
1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010
Net Foreign Position in Debt and Reserves
(Percent of GDP)Emerging Countries Industrialized Countries
QUESTION
How does the growth of emerging economies affect the financial and macroeconomic stability of both emerging and industrialized countries?
ADDRESSING THE QUESTION
1. I develop a two-country model where global banks play a central role.
2. Emerging countries have a greater demand for financial assets.
3. The model generates financial crises induced by self-fulfilling expectations about the liquidity of the banking sector.
4. I then use the model to study how the growth of Emerging Economies affects macroeconomic stability.
PREVIEW OF RESULTS
• The increased size of emerging countries increases the world demand for liquid assets (bank liabilities in the model).
• This reduces the interest rate paid by banks and creates an incentive for banks to leverage.
• The higher leverage increases financial fragility: higher probability of a crisis and/or the macroeconomic consequences of a crisis.
THREE SECTORS MODEL
1. Entrepreneurial sector
2. Worker sector
3. Financial intermediation sector
1. Entrepreneurial sector
• Continuum of entrepreneurs with utility E0 P∞
t=0 βt ln(cit)
• Technology F(zti, hit) = ztihit hit = Input of labor
zti = Idiosyncratic shock observed after choosing hit.
• They can buy bonds bit+1. The budget constraint is
cit + bit+1
Rtb = (zti − wt)hit + bit ≡ ait
Optimal entrepreneur’s policy
hit = φ(wt)bit
cit = (1 − β)ait
bit+1
Rbt = βait
Where φt satisfies Ez
n z−wt 1+(z−wt)φt
o
= 0.
Aggregate demand of labor H
t= φ(w
t)
Z
i
b
it|{z}
Financial wealth
6
Ht
Aggregate demand of labor H
t= φ(w
t)
Z
i
b
it|{z}
Financial wealth
- 6
wt Ht
2. Worker sector
• Continuum of workers with utility E0 P∞ t=0 βt
ct − αz¯th
1+ν t
1+ν
• They hold a non-reproducible asset in fixed supply K, traded at price pt. Each unit produces χz¯t units of consumption goods.
• They can borrow subject to the collateral constraint lt+1
Rlt ≤ ηEtpt+1kt+1
• Budget constraint
ct + lt + (kt+1 − kt)pt = lt+1
Rlt + wtht + χz¯tkt
First order conditions for workers
αhνt = wt
1 = βRtl(1 + µt)
pt = βEt h
χ + (1 + ηµt)pt+1i
Aggregate supply of labor H
t=
wαtν1- 6
wt Ht
EQUILIBRIUM
WITHOUT INTERMEDIATION
(Borrowing and lending is direct)
LABOR MARKET EQUILIBRIUM
- 6
wt
Ht Labor supply
HtS = wtα ν1
Labor demand HtD = φ(wt)Bt
LABOR MARKET EQUILIBRIUM (Lower stock of bank liabilities)
- 6
wt
Ht Labor supply
HtS = wtα ν1
Labor demand HtD = φ(wt)Bt
INTRODUCING
THE INTERMEDIATION SECTOR
Schematic overview of the economy
Financial Intermediaries
Net borrowers (Workers) Net savers
(Entrepreneurs/
producers)
Consumption Labor supply Consumption
Hiring
3. Intermediation sector
• Banks start with liabilities bt and loans lt.
• The liquidation value of bank assets is ξtlt, with ξt ∈ n
ξ,1o .
• Banks renegotiate if liabilities exceed the liquidation value of assets,
˜bt(bt, lt) =
bt, if bt ≤ ξtlt ξtlt if bt > ξtlt
• There is an intermediation cost that rises with leverage.
˜
ϕt(bt+1, lt+1) = ϕ
bt+1
lt+1 − ξ
bt+1
LOW LEVERAGE (No default)
lt ξ lt
6
bt
HIGH LEVERAGE (Possibility of default)
lt ξ lt
6
bt
Bank’s problem
Vt(bt, lt) = max
dt,bt+1,lt+1
(
dt + βEtVt+1(bt+1, lt+1) )
subject to
˜bt(bt, lt) + ϕ˜t(bt+1, lt+1) + lt+1
Rt + dt = lt + Et˜bt+1(bt+1, lt+1) Rbt
First order conditions
1
Rbt = β h
1 + Φb
t+1
lt+1
i
1
Rlt = β h
1 + Ψb
t+1
lt+1
i
Two-countries:
The growth of emerging economies
and global imbalance
Cross-country heterogeneity
1. Differences in size:
• Productivity, z¯j
2. Differences in financial market characteristics:
• Volatility of the idiosyncratic shock, σj
• Borrowing limit, ηj
SIMULATION EXERCISE
• Country 1: Industrialized economies. Country 2: Emerging economies.
• Relative productivity zz¯¯2
1 changes over the period 1991-2013.
• Model simulation repeated 1,000 times. In each simulation:
– Same sequence zz¯¯2
1;
– Different sequences of random draws ξ.
CALIBRATION
(Based on early 1990s data)
• Quarterly model with β = 0.985.
• Working dis-utility parameter αj to have average labor equal to average employment over population.
• Output from fixed asset χ to match share of housing services in GDP Housing service share = χ
Hj,t + χ
• Collateral parameter ηj to generate private credit to GDP in each country.
• Volatility of idiosyncratic shock σ1 = [0.7,1.3], σ2 = [0.4,1.6].
CALIBRATION
(Based on early 1990s data)
• Low realization of shock ξ = 0.85.
• Intermediation cost
ϕ(ωt+1) = τ +
0, if ωt+1 ≤ ξ (ωt+1 − ξ)2, if ωt+1 > ξ
.
Parameter τ chosen to target the share of finance in GDP.
Calibration of relative productivity (Based on 1991-2013 data)
GDP2,t
GDP1,t = z¯2,t
¯ z1,t
H2,t + χ H1,t + χ
.
REPEATED SIMULATIONS
REPEATED SIMULATIONS
FOR A PARTICULAR SEQUENCE OF SHOCKS
• From 1991 to third quarter of 2008 the realization of the shock is HIGH.
• In the fourth quarter of 2008 the realization of the sunspot shock is LOW.
• Afterwards, the realization of the sunspot shock is HIGH.
SPECIAL SIMULATION
SPECIAL SIMULATION
CONCLUSION
• Cheap funding for banks creates an incentive to leverage.
• More leverage exposes the banking sector to crises.
• The growth of emerging economies pushes the globalized economy in this direction raising financial and macroeconomic instability.