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Dynamical Systems and Financial Instability M. R. Grasselli Mainstream Alternative approaches SFC models Conclusions Dynamical Systems and Financial Instability M. R. Grasselli Mathematics and Statistics - McMaster University and Fields Institute for Research in Mathematical Sciences ICTP-SAIFR Seminar, May 30, 2014

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Page 1: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Dynamical Systems and Financial Instability

M. R. Grasselli

Mathematics and Statistics - McMaster Universityand Fields Institute for Research in Mathematical Sciences

ICTP-SAIFR Seminar, May 30, 2014

Page 2: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

A brief history of Macroeconomics

Classics (Smith, Ricardo, Marx): no distinction betweenmicro and macro, Say’s law, emphasis on long run.

Beginning of the 20th century (Wicksell, Fisher): naturalrate of interest, quantity theory of money.

Keynesian revolution (1936): shift to demand, fallacies ofcomposition, role of expectations, and much more!

Neoclassical synthesis - 1945 to 1970 (Hicks, Samuelson,Solow): Keynesian consensus.

Rational Expectations Revolution - 1972 (Lucas, Prescott,Sargent): internal consistency, microfoundations.

Start of Macro Wars: Real Business Cycles versus NewKeynesian.

1990’s: impression of consensus around DSGE models, butwith different flavours.

Page 3: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Dynamic Stochastic General Equilibrium

Seeks to explain the aggregate economy using theoriesbased on strong microeconomic foundations.

Collective decisions of rational individuals over a range ofvariables for both present and future.

All variables are assumed to be simultaneously inequilibrium.

The only way the economy can be in disequilibrium at anypoint in time is through decisions based on wronginformation.

Money is neutral in its effect on real variables.

Largely ignores uncertainty by simply subtracting riskpremia from all risky returns and treat them as risk-free.

Page 4: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Really bad economics: hardcore (freshwater) DSGE

The strand of DSGE economists affiliated with RBCtheory made the following predictions after 2008:

1 Increases government borrowing would lead to higherinterest rates on government debt because of “crowdingout”.

2 Increases in the money supply would lead to inflation.3 Fiscal stimulus has zero effect in an ideal world and

negative effect in practice (because of decreasedconfidence).

Page 5: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Wrong prediction number 1

Figure: Government borrowing and interest rates.

Page 6: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Wrong prediction number 2

Figure: Monetary base and inflation.

Page 7: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Wrong prediction number 3

Figure: Fiscal tightening and GDP.

Page 8: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Better (but still bad) economics: soft core(saltwater) DSGE

The strand of DSGE economists affiliated with NewKeynesian theory got all these predictions right.

They did so by augmented DSGE with ‘imperfections’(wage stickiness, asymmetric information, imperfectcompetition, etc).

Still DSGE at core - analogous to adding epicycles toPtolemaic planetary system.

For example: “Ignoring the foreign component, or lookingat the world as a whole, the overall level of debt makes nodifference to aggregate net worth – one person’s liability isanother person’s asset.” (Paul Krugman and Gauti B.Eggertsson, 2010, pp. 2-3)

Page 9: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Finance in DSGE models

The financial sector merely serve as intermediarieschanneling savings from households to business.Banks provide indirect finance by borrowing short andlending long (business loans), thereby solving the problemof liquidity preferences (Diamond and Dybvig (1986)model).Financial market provide direct finance through shares,thereby introducing market prices and discipline.Financial Frictions (e.g borrowing constraints, marketliquidity) create persistence and amplification of realshocks (Bernanke and Gertler (1989), Kiyotaki and Moore(1997) models)See Brunnermeier and Sannikov (2013) for a recentcontribution to this strand of literature in light of thefinancial crisis, in particular in the context ofmacro-prudential regulation.

Page 10: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Frictions literature still missing the point

Turner 2013 observes that:

“Quantitative impacts suggested by the models were farsmaller than those empirically observed in real worldepisodes such as the Great Depression or the 2008 crisis”

“Most of the literature omits consideration ofbehaviourally driven ‘irrational’ cycles in asset prices”.

“the vast majority of the literature ignores the possibilitiesof credit extension to finance the purchase of alreadyexisting assets”.

“the dominant model remains one in which householdsavers make deposits in banks, which lend money toentrepreneurs/businesses to pursue ‘investment projects’.The reality of a world in which only a small proportion(e.g. 15%) of bank credit funds ‘new investment projects’has therefore been left largely unexplored.”

Page 11: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Turner (2013) slide

Page 12: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

A parallel history of Macroeconomics

Classical 19th century monetarism (Bagehot, AllanYoung): role of banks in trade (Britain) and development(U.S.), central banking.

Several prominent disciples of Keynes (Kaldor, Robinson,Davidson) immediately rejected the Neoclassical synthesisas “bastardized Keynesianism”.

Flow of Funds accounting - 1952 (Copeland): alternativeto both Y = C + I + G + X −M (finals sales) andMV = PT (money transactions) by tracking exchanges ofboth goods and financial assets.

Gurley, Shaw, Tobin, Minsky: financial intermediation atcentre stage.

Kindleberger (1978): detailed history of financier crises.

Stock-flow consistent models (Godley, Lavoie)

Revival of interest after the 2008 crisis.

Page 13: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Key insight 1: money is not neutral

Money is hierarchical: currency is a promise to pay gold(or taxes); deposits are promises to pay currency;securities are promises to pay deposits.

Financial institutions are market-makers straddling twolevels in the hierarchy: central banks, banks, securitydealers.

The hierarchy is dynamic: discipline and elasticity changein time.

Page 14: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Key insight 2: money is endogenous

Banks create money and purchasing power.

Reserve requirements are never binding.

Page 15: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Key insight 3: private debt matters

Figure: Change in debt and unemployment.

Page 16: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Key insight 4: finance is not just intermediation

Market never clear in all states: set of events is larger thanwhat can be contracted.

The financial sector absorbs the risk of unfulfilled promises.

The cone of acceptable losses defines the size of the realeconomy.

Figure: Cherny and Madan (2009)

Page 17: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Much better economics: SFC models

Stock-flow consistent models emerged in the last decadeas a common language for many heterodox schools ofthought in economics.

Consider both real and monetary factors from the start

Specify the balance sheet and transactions between sectors

Accommodate a number of behavioural assumptions in away that is consistent with the underlying accountingstructure.

Reject silly (and mathematically unsound!) hypothesessuch as the RARE individual (representative agent withrational expectations).

See Godley and Lavoie (2007) for the full framework.

Page 18: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Balance Sheets

Balance Sheet HouseholdsFirms

Banks Central Bank Government Sum

current capital

Cash +Hh +Hb −H 0

Deposits +Mh +Mf −M 0

Loans −L +L 0

Bills +Bh +Bb +Bc −B 0

Equities +pf Ef + pbEb −pf Ef −pbEb 0

Advances −A +A 0

Capital +pK pK

Sum (net worth) Vh 0 Vf Vb 0 −B pK

Table: Balance sheet in an example of a general SFC model.

Page 19: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Transactions

TransactionsHouseholds

FirmsBanks Central Bank Government Sum

current capital

Consumption −pCh +pC −pCb 0

Investment +pI −pI 0

Gov spending +pG −pG 0

Acct memo [GDP] [pY ]

Wages +W −W 0

Taxes −Th −Tf +T 0

Interest on deposits +rM .Mh +rM .Mf −rM .M 0

Interest on loans −rL.L +rL.L 0

Interest on bills +rB .Bh +rB .Bb +rB .Bc −rB .B 0

Profits +Πd + Πb −Π +Πu −Πb −Πc +Πc 0

Sum Sh 0 Sf − pI Sb 0 Sg 0

Table: Transactions in an example of a general SFC model.

Page 20: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Flow of Funds

Flow of FundsHouseholds

FirmsBanks Central Bank Government Sum

current capital

Cash +Hh +Hb −H 0

Deposits +Mh +Mf −M 0

Loans −L +L 0

Bills +Bh +Bb +Bc −B 0

Equities +pf Ef + pbEb −pf Ef −pbEb 0

Advances −A +A 0

Capital +pI pI

Sum Sh 0 Sf Sb 0 Sg pI

Change in Net Worth (Sh + pf Ef + pbEb) (Sf − pf Ef + pK − pδK ) (Sb − pbEb) Sg pK + pK

Table: Flow of funds in an example of a general SFC model.

Page 21: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

General Notation

Employed labor force: `

Production function: Y = f (K , `)

Labour productivity: a = Y`

Capital-to-output ratio: ν = KY

Employment rate: λ = `N

Change in capital: K = I − δKInflation rate: i = p

p

Page 22: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Goodwin Model (1967) - Assumptions

Assume that

N = N0eβt (total labour force)

a = a0eαt (productivity per worker)

Y = min

{K

ν, a`

}(Leontief production)

Assume further that

Y =K

ν= a` (full capital utilization)

w = Φ(λ, i , ie)w (Phillips curve)

pI = pY − w` (Say’s Law)

NOTE: In the original paper, Goodwin assumed that wabove was the real wage rate, so all quantities werenormalized by p.

Page 23: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Goodwin Model - SFC matrix

Balance Sheet HouseholdsFirms

Sum

current capital

Capital +pK pK

Sum (net worth) 0 0 Vf pK

Transactions

Consumption −pC +pC 0

Investment +pI −pI 0

Acct memo [GDP] [pY ]

Wages +W −W 0

Profits −Π +Πu 0

Sum 0 0 0 0

Flow of Funds

Capital +pI pI

Sum 0 0 Πu pI

Change in Net Worth 0 pI + pK − pδK pK + pK

Table: SFC table for the Goodwin model.

Page 24: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Goodwin Model - Differential equations

Define

ω =wL

pY=

w

pa(wage share)

λ =L

N=

Y

aN(employment rate)

It then follows that

ω

ω=

w

w− p

p− a

a= Φ(λ, i , ie)− i − α

λ

λ=

1− ων− α− β − δ

In the original model, all quantities were real (i.e dividedby p), which is equivalent to setting i = ie = 0.

Page 25: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Example 1: Goodwin model

0.7 0.75 0.8 0.85 0.9 0.95 10.88

0.9

0.92

0.94

0.96

0.98

1

ω

λw

0 = 0.8, λ

0 = 0.9

Page 26: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Example 1 (continued): Goodwin model

0

1000

2000

3000

4000

5000

6000

Y

0 10 20 30 40 50 60 70 80 900.7

0.75

0.8

0.85

0.9

0.95

1

t

ω, λ

w0 = 0.8, λ

0 = 0.9, Y

0 = 100

ωλY

Page 27: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Goodwin Model - Extensions, structural instability,and empirical tests

Desai 1972: Inflation leads to a stable equilibrium.

Ploeg 1985: CES production function leads to stableequilibrium.

Goodwin 1991: Pro-cyclical productivity growth leads toexplosive oscillations.

Solow 1990: US post-war data shows three sub-cycles witha “bare hint of a single large clockwise sweep” in the(ω, λ) plot.

Harvie 2000: Data from other OECD confirms the samequalitative features and shows unsatisfactory quantitativeestimations.

Page 28: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Testing Goodwin on OECD countries

Figure: Harvie (2000)

Page 29: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Correcting Harvie

Figure: Grasselli and Maheshwari (2012)

Page 30: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

SFC table for Keen (1995) model

Balance Sheet HouseholdsFirms

Banks Sum

current capital

Deposits +D −D 0

Loans −L +L 0

Capital +pK pK

Sum (net worth) Vh 0 Vf 0 pK

Transactions

Consumption −pC +pC 0

Investment +pI −pI 0

Acct memo [GDP] [pY ]

Wages +W −W 0

Interest on deposits +rD −rD 0

Interest on loans −rL +rL 0

Profits −Π +Πu 0

Sum Sh 0 Sf − pI 0 0

Flow of Funds

Deposits +D −D 0

Loans −L +L 0

Capital +pI pI

Sum Sh 0 Πu 0 pI

Change in Net Worth Sh (Sf + pK − pδK ) pK + pK

Table: SFC table for the Keen model.

Page 31: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Keen model - Investment function

Assume now that new investment is given by

K = κ(1− ω − rd)Y − δK

where κ(·) is a nonlinear increasing function of profitsπ = 1− ω − rd .

This leads to external financing through debt evolvingaccording to

D = κ(1− ω − rd)Y − (1− ω − rd)Y

Page 32: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Keen model - Differential Equations

Denote the debt ratio in the economy by d = D/Y , the modelcan now be described by the following system

ω = ω [Φ(λ)− α]

λ = λ

[κ(1− ω − rd)

ν− α− β − δ

](1)

d = d

[r − κ(1− ω − rd)

ν+ δ

]+ κ(1− ω − rd)− (1− ω)

Page 33: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Keen model - equilibria

The system (1) has a good equilibrium at

ω = 1− π − rν(α + β + δ)− π

α + β

λ = Φ−1(α)

d =ν(α + β + δ)− π

α + β

withπ = κ−1(ν(α + β + δ)),

which is stable for a large range of parameters

It also has a bad equilibrium at (0, 0,+∞), which is stableif

κ(−∞)

ν− δ < r (2)

Page 34: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Example 2: convergence to the good equilibrium ina Keen model

0.7

0.75

0.8

0.85

0.9

0.95

1

λ

ωλYd

0

1

2

3

4

5

6

7

8x 10

7

Y

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

d

0 50 100 150 200 250 300

0.7

0.8

0.9

1

1.1

1.2

1.3

time

ω

ω0 = 0.75, λ

0 = 0.75, d

0 = 0.1, Y

0 = 100

d

λ

ω

Y

Page 35: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Example 3: explosive debt in a Keen model

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

λ

0

1000

2000

3000

4000

5000

6000Y

0

0.5

1

1.5

2

2.5x 10

6

d

0 50 100 150 200 250 3000

5

10

15

20

25

30

35

time

ω

ω0 = 0.75, λ

0 = 0.7, d

0 = 0.1, Y

0 = 100

ωλYd

λ

Y d

ω

Page 36: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Basin of convergence for Keen model

0.5

1

1.5

0.40.5

0.60.7

0.80.9

11.1

0

2

4

6

8

10

ωλ

d

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Ponzi financing

To introduce the destabilizing effect of purely speculativeinvestment, we consider a modified version of the previousmodel with

D = κ(1− ω − rd)Y − (1− ω − rd)Y + P

P = Ψ(g(ω, d)P

where Ψ(·) is an increasing function of the growth rate ofeconomic output

g =κ(1− ω − rd)

ν− δ.

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Example 4: effect of Ponzi financing

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

λ

ω

ω0 = 0.95, λ

0 = 0.9, d

0 = 0, p

0 = 0.1, Y

0 = 100

No SpeculationPonzi Financing

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Stock prices

Consider a stock price process of the form

dStSt

= rbdt + σdWt + γµtdt − γdN(µt)

where Nt is a Cox process with stochastic intensityµt = M(p(t)).

The interest rate for private debt is modelled asrt = rb + rp(t) where

rp(t) = ρ1(St + ρ2)ρ3

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Example 5: stock prices, explosive debt, zerospeculation

0 10 20 30 40 50 60 70 80 90 1000

0.5

1

ωλ

0 10 20 30 40 50 60 70 80 90 1000

1

2

0 10 20 30 40 50 60 70 80 90 1000

500

1000

pd

0 10 20 30 40 50 60 70 80 90 1000

50

100

150

200

St

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Example 6: stock prices, explosive debt, explosivespeculation

0 10 20 30 40 50 60 70 80 90 1000

1

2

3

ω

λ

0 10 20 30 40 50 60 70 80 90 10002468

10

0 10 20 30 40 50 60 70 80 90 10002004006008001000

pd

0 10 20 30 40 50 60 70 80 90 1000

5000

10000

St

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Example 7: stock prices, finite debt, finitespeculation

0 10 20 30 40 50 60 70 80 90 1000.7

0.8

0.9

1

ωλ

0 10 20 30 40 50 60 70 80 90 1000.009

0.01

0.011

0 10 20 30 40 50 60 70 80 90 100−0.5

0

0.5

pd

0 10 20 30 40 50 60 70 80 90 1000

100

200

300

400

St

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Stability map

0.5

0.5

0.55

0.55

0.55

0.55

0.55

0.55

0.55

0.550.550.

55

0.6

0.6

0.6

0.6

0.6

0.6

0.6

0.6

0.65

0.65

0.65

0.65 0.65

0.65

0.65

0.65

0.7

0.7

0.7

0.7

0.7

0.75

0.75

0.8

0.8

0.85

0.85

0.5

0.55

0.55

0.55

0.6

0.6

0.55

0.6

0.55

0.50.6

0.6

0.5

0.6

0.65

0.55

0.9

0.55

0.6

0.7

0.5

0.55

0.55

0.65

0.6

0.65 0.60.7

0.7

0.65

0.8

0.6

0.6

0.6

0.60.6

0.6

0.45 0.

5

0.45

0.6

0.55

0.7

0.5

0.8

0.65

0.5

0.6

0.7

0.5

0.5

0.6

0.6

λ

d

Stability map for ω0 = 0.8, p

0 = 0.01, S

0 = 100, T = 500, dt = 0.005, # of simulations = 100

0.7 0.75 0.8 0.85 0.9 0.950

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

0.45

0.5

0.55

0.6

0.65

0.7

0.75

0.8

0.85

0.9

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Introducing a government sector

Following Keen (and echoing Minsky) we add discretionarygovernment subsidied and taxation into the original systemin the form

G = G1 + G2

T = T1 + T2

where

G1 = η1(λ)Y G2 = η2(λ)G2

T1 = Θ1(π)Y T2 = Θ2(π)T2

Defining g = G/Y and τ = T/Y , the net profit share isnow

π = 1− ω − rd + g − τ,and government debt evolves according to

B = rB + G − T .

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Differential equations - reduced system

Notice that π does not depend on b, so that the lastequation can be solved separately.

Observe further that we can write

π = −ω − r d + g − τ (3)

leading to the five-dimensional system

ω =ω [Φ(λ)− α] ,

λ =λ [γ(π)− α− β]

g2 =g2 [η2(λ)− γ(π)] (4)

τ2 =τ2 [Θ2(π)− γ(π)]

π =− ω(Φ(λ)− α)− r(κ(π)− π) + (1− ω − π)γ(π)

+ η1(λ) + g2η2(λ)−Θ2(π)− τ2Θ2(π)

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Good equilibrium

The system (4) has a good equilibrium at

ω = 1− π − rν(α + β + δ)− π

α + β+η1(λ)−Θ1(π)

α + β

λ = Φ−1(α)

π = κ−1(ν(α + β + δ))

g2 = τ2 = 0

and this is locally stable for a large range of parameters.

The other variables then converge exponentially fast to

d =ν(α + β + δ)− π

α + β, g1 =

η1(λ)

α + β

τ1 =Θ1(π)

α + β

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Bad equilibria - destabilizing a stable crisis

Recall that π = 1− ω − rd + g − τ .

The system (4) has bad equilibria of the form

(ω, λ, g2, τ2, π) = (0, 0, 0, 0,−∞)

(ω, λ, g2, τ2, π) = (0, 0,±∞, 0,−∞)

If g2(0) > 0, then any equilibria with π → −∞ is locallyunstable provided η2(0) > r .

On the other hand, if g2(0) < 0 (austerity), then theseequilibria are all locally stable.

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Persistence results

Proposition 1: Assume g2(0) > 0, then the system (4) iseπ-UWP if either

1 λη1(λ) is bounded below as λ→ 0, or

2 η2(0) > r .

Proposition 2: Assume g2(0) > 0 and τ2(0) = 0, then thesystem (4) is λ-UWP if either of the following three conditionsis satisfied:

1 λη1(λ) is bounded below as λ→ 0, or

2 η2(0) > max{r , α + β}, or

3 r < η2(0) ≤ α + β and−r(κ(x)− x) + (1− x)γ(x) + η1(0)−Θ1(x) > 0 forγ(x) ∈ [η2(0), α + β].

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Hopft bifurcation with respect to governmentspending.

0.68

0.682

0.684

0.686

0.688

0.69

0.692

OMEGA

0.28 0.285 0.29 0.295 0.3 0.305 0.31 0.315 0.32 0.325eta_max

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

The Great Moderation in the U.S. - 1984 to 2007

Figure: Grydaki and Bezemer (2013)

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Possible explanations

Real-sector causes: inventory management, labour marketchanges, responses to oil shocks, external balances , etc.

Financial-sector causes: credit accelerator models, financialinnovation, deregulation, better monetary policy, etc.

Grydaki and Bezemer (2013): growth of debt in the realsector.

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Bank credit-to-GDP ratio in the U.S

Figure: Grydaki and Bezemer (2013)

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Cumulative percentage point growth of excesscredit growth, 1952-2008

Figure: Grydaki and Bezemer (2013)

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Excess credit growth moderated output volatilityduring, but not before the Great Moderation

Figure: Grydaki and Bezemer (2013)

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Example 8: strongly moderated oscillations

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

λ

0

500

1000

1500

2000

2500

3000

3500

Y

0

20

40

60

80

100

120

140

160

180

d

0

2

4

6

8

10

12p

0 10 20 30 40 50 60 70 80 90 1000.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

time

ω

ω0 = 0.9, λ

0 = 0.91, d

0 = 0.1, p

0 = 0.01, Y

0 = 100, κ’(π

eq) = 20

ωλYdp

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Example 9 (cont): Shilnikov bifurcation

0.450.5

0.550.6

0.650.7

0.750.8

0.850.9 0.7

0.75

0.8

0.85

0.9

0.95

1

0

2

4

6

8

10

12

λ

ω0 = 0.9, λ

0 = 0.91, d

0 = 0.1, p

0 = 0.01, Y

0 = 100, κ’(π

eq) = 20

ω

d

Page 57: Dynamical Systems and Financial Instability - ICTP … · Dynamical Systems and Financial Instability ... (U.S.), central banking. ... h +r M:M f r M:M 0 Interest on loans r

DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Goodwin model

Keen model

Ponzi financing

Noise and StockPrices

Stabilizinggovernment

GreatModeration

The UltimateModel

Conclusions

Shortcomings of Goodwin and Keen models

No independent specification of consumption (andtherefore savings) for households:

C = W , Sh = 0 (Goodwin)

C = (1− κ(π))Y , Sh = D = Πu − I (Keen)

Full capacity utilization.

Everything that is produced is sold.

No active market for equities.

Skott (1989) uses prices as an accommodating variable inthe short run.

Chiarella, Flaschel and Franke (2005) propose a dynamicsfor inventory and expected sales.

Grasselli and Nguyen (2013) provide a synthesis, includingequities and Tobin’s portfolio choices.

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Concluding remarks

Macroeconomics is too important to be left tomacroeconomists.

Since Keynes’s death it has developed in two radicallydifferent approaches:

1 The dominant one has the appearance of mathematicalrigour (the SMD theorems notwithstanding), but is basedon implausible assumptions, has poor fit to data in general,and is disastrously wrong during crises. Finance plays anegligible role

2 The heterodox approach is grounded in history andinstitutional understanding, takes empirical work muchmore seriously, but is generally averse to mathematics.Finance plays a major role.

It’s clear which approach should be embraced bymathematical finance “to boldly go where no man hasgone before” · · ·

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DynamicalSystems and

FinancialInstability

M. R. Grasselli

Mainstream

Alternativeapproaches

SFC models

Conclusions

Qatlho!