Leverage Restrictions in a Business Cycle Modellchrist/course/IMF_Laxton_20… · Consequence:...

Leverage Restrictions in a BusinessCycle Model

Lawrence J. ChristianoDaisuke Ikeda

Disclaimer: The views expressed are those of the authors and do not necessarily reflect

those of the Bank of Japan.

Background

• Increasing interest in the following sorts of questions:

— What restrictions should be placed on bank leverage?— How should those restrictions be varied over the business cycle?— How should monetary policy react to bank leverage, if at all?

Background

— What restrictions should be placed on bank leverage?

— How should those restrictions be varied over the business cycle?— How should monetary policy react to bank leverage, if at all?

Background

— What restrictions should be placed on bank leverage?— How should those restrictions be varied over the business cycle?

— How should monetary policy react to bank leverage, if at all?

Background

What We Do

• Modify a standard medium-sized DSGE model to include abanking sector.

Assets LiabilitiesLoans and other securities Deposits

Banker net worth

• Job of bankers is to identify and finance good investmentprojects.

— doing this requires exerting costly effort.

• Agency problem between bank and its creditors:— banker effort is not observable.

• Consequence: leverage restrictions on banks generate a verysubstantial welfare gain in steady state.

• Explore some of the dynamic implications of the models.

What We Do• Modify a standard medium-sized DSGE model to include abanking sector.

Banker net worth

Outline

• Model— first, without leverage restriction

• observable effort benchmark• unobservable case

— then, with leverage restriction

• Steady state properties of leverage restrictions• Implications for dynamic effects of shocks

Outline

• Steady state properties of leverage restrictions

• Implications for dynamic effects of shocks

Outline

• Steady state properties of leverage restrictions• Implications for dynamic effects of shocks

Standard Model

household

Labor market

Standard Model

household

Market for Physical Capital

Labor market

Standard Model

household

Market for Physical Capital

Labor market

Standard Model with Banking

household

Entrepreneurs

Labor market

L K → K, ~F,t

household

Entrepreneurs

Labor market

Capital Producers

1 − K

Entrepreneurpays everything to the bankand has nothing.

household

Entrepreneurs

Labor market

Capital Producers

Mutual funds

Entrepreneurs

• After goods production in period t : Purchase raw capital fromcapital producers, for price Pk′,t.

— entrepreneurs have no resources of their own and must obtainfinancing from banks.

• Entrepreneurs convert raw capital into effective capital.— Some are good at it and some are bad.

• In period t+ 1 :

— entrepreneurs rent capital to goods-producers in competitivemarkets, at rental rate, rt+1.

— after production, sell undepreciated capital back to capitalproducers at price, Pk′,t+1.

— entrepreneurs pay all earnings to bank at end of t+ 1, keepingnothing.

— no agency problems between entrepreneurs and banks.

Entrepreneurs• After goods production in period t : Purchase raw capital fromcapital producers, for price Pk′,t.

• Entrepreneurs convert raw capital into effective capital.

— Some are good at it and some are bad.

Earnings of Entrepreneurs

• there are good entrepreneurs and bad entrepreneurs.• bad: 1 unit, raw capital → ebt units, effective capital• good: 1 unit, raw capital → egt units, effective capital

• return to capital enjoyed by entrepreneurs:

Rgt+1 = egtRk

t+1, Rbt+1 = ebtRk

Rkt+1 ≡

rkt+1Pt+1 + (1− δ)Pk,t+1

Pk′t

• In effect, entrepreneurs operate linear investment technologies,

Rgt+1 > Rb

• there are good entrepreneurs and bad entrepreneurs.

• bad: 1 unit, raw capital → ebt units, effective capital• good: 1 unit, raw capital → egt units, effective capital

Rgt+1 = egtRk

t+1, Rbt+1 = ebtRk

Rkt+1 ≡

rkt+1Pt+1 + (1− δ)Pk,t+1

Pk′t

Rgt+1 > Rb

• there are good entrepreneurs and bad entrepreneurs.• bad: 1 unit, raw capital → ebt units, effective capital

• good: 1 unit, raw capital → egt units, effective capital

Rgt+1 = egtRk

t+1, Rbt+1 = ebtRk

Rkt+1 ≡

rkt+1Pt+1 + (1− δ)Pk,t+1

Pk′t

Rgt+1 > Rb

Rgt+1 = egtRk

t+1, Rbt+1 = ebtRk

Rkt+1 ≡

rkt+1Pt+1 + (1− δ)Pk,t+1

Pk′t

Rgt+1 > Rb

Rgt+1 = egtRk

t+1, Rbt+1 = ebtRk

Rkt+1 ≡

rkt+1Pt+1 + (1− δ)Pk,t+1

Pk′t

Rgt+1 > Rb

Rgt+1 = egtRk

t+1, Rbt+1 = ebtRk

Rkt+1 ≡

rkt+1Pt+1 + (1− δ)Pk,t+1

Pk′t

Rgt+1 > Rb

Rgt+1 = egtRk

t+1, Rbt+1 = ebtRk

Rkt+1 ≡

rkt+1Pt+1 + (1− δ)Pk,t+1

Pk′t

Rgt+1 > Rb

Bankers

• each has net worth, Nt.• a banker can only invest in one entrepreneur (asset side ofbanker balance sheet is risky).

• by exerting effort, et, a banker finds a good entrepreneur withprobability p :

p (et) = a+ bet

• in t, bankers seek to optimize:

Etλt+1{p (et)[Rg

t+1 (Nt + dt)− Rdg,t+1dt

]+ (1− p (et))

t+1 (Nt + dt)− Rdb,t+1dt

]} − 1

• Bankers have a cash constraint:

Rbt+1 (Nt + dt) ≥ Rd

b,t+1dt

Bankers• each has net worth, Nt.

• a banker can only invest in one entrepreneur (asset side ofbanker balance sheet is risky).

p (et) = a+ bet

Etλt+1{p (et)[Rg

]+ (1− p (et))

]} − 1

b,t+1dt

Bankers• each has net worth, Nt.• a banker can only invest in one entrepreneur (asset side ofbanker balance sheet is risky).

p (et) = a+ bet

Etλt+1{p (et)[Rg

]+ (1− p (et))

]} − 1

b,t+1dt

p (et) = a+ bet

Etλt+1{p (et)[Rg

]+ (1− p (et))

]} − 1

b,t+1dt

p (et) = a+ bet

Etλt+1{p (et)[Rg

]+ (1− p (et))

]} − 1

b,t+1dt

p (et) = a+ bet

Etλt+1{p (et)[Rg

]+ (1− p (et))

]} − 1

b,t+1dt

Bankers and their Creditors

• Bankers and Mutual Funds interact in competitive markets forloan contracts: (

dt, et, Rdg,t+1, Rd

• Free entry and competition among mutual funds implies:

p (et)Rdg,t+1 + (1− p (et))Rd

b,t+1 = Rt

• Two scenarios:— banker effort, et, is observed by mutual fund— banker effort, et, is unobserved.

dt, et, Rdg,t+1, Rd

)• Free entry and competition among mutual funds implies:

b,t+1 = Rt

dt, et, Rdg,t+1, Rd

b,t+1 = Rt

• Two scenarios:— banker effort, et, is observed by mutual fund

— banker effort, et, is unobserved.

dt, et, Rdg,t+1, Rd

b,t+1 = Rt

Observed Effort Benchmark

• Set of contracts available to bankers is the(dt, et, Rd

g,t+1, Rdb,t+1

)’s that satisfy

MF zero profits : p (et)Rdg,t+1 + (1− p (et))Rd

b,t+1 = Rt,

cash constraint : Rbt+1 (Nt + dt) ≥ Rd

b,t+1dt

• Each banker chooses the most preferred contract from themenu.

• Key feature of observed effort equilibrium:

et = Etλt+1p′t (et+1)(

Rgt+1 − Rb

)(Nt + dt)

g,t+1, Rdb,t+1

)’s that satisfy

b,t+1 = Rt,

b,t+1dt

Rgt+1 − Rb

)(Nt + dt)

g,t+1, Rdb,t+1

)’s that satisfy

b,t+1 = Rt,

b,t+1dt

Rgt+1 − Rb

)(Nt + dt)

Unobserved Effort• In this case, banker always sets et to its privately optimal level,whatever et is specified in the loan contract:

incentive : et = Etλt+1p′t (et) [(

Rgt+1 − Rb

)(Nt + dt)

Rdg,t+1 − Rd

g,t+1, Rdb,t+1

)’s that satisfy ‘incentive’in addition to:

b,t+1 = Rt,

b,t+1dt

• Two factors can make et ineffi ciently low:— Rd

g,t+1 > Rdb,t+1

— Nt + dt low.

Rgt+1 − Rb

)(Nt + dt)

Rdg,t+1 − Rd

g,t+1, Rdb,t+1

b,t+1 = Rt,

b,t+1dt

g,t+1 > Rdb,t+1

— Nt + dt low.

Rgt+1 − Rb

)(Nt + dt)

Rdg,t+1 − Rd

g,t+1, Rdb,t+1

b,t+1 = Rt,

b,t+1dt

g,t+1 > Rdb,t+1

— Nt + dt low.

Law of Motion of Net Worth• Bankers live in a large representative household, with workers(as in Gertler-Karadi, Gertler-Kiyotaki).— Bankers pool their net worth at the end of each period (weavoid worrying about banker heterogeneity)

• Law of motion of banker net worth

Nt+1 = γt+1{p (et)

profits when bank assets good︷︸︸︷[Rg

+ (1− p (et))

profits when bank assets are bad︷︸︸︷[Rb

lump sum transfer, households to their bankers︷︸︸︷Tt+1

Nt+1 = γt+1{p (et)

+ (1− p (et))

Nt+1 = γt+1{p (et)

+ (1− p (et))

• The model assumes that when bankers want funds, issuing equity is not an option.

2006 2007 2008 2009 2010 2011

billio

Borrowing by Private Depository Institutions (Table F.109, Flow of Funds)

open market paper, bonds, other loans, deposits

2006 2007 2008 2009 2010 2011

billio

Equity as a source of funds, Private Depository Institutions (F.109, F of F)

This shows how major debt instruments were used at private depository institutions in the wake of the crisis.

• The model assumes that when bankers want funds, issuing equity is not an option.

2006 2007 2008 2009 2010 2011

billio

Borrowing by Private Depository Institutions (Table F.109, Flow of Funds)

open market paper, bonds, other loans, deposits

2006 2007 2008 2009 2010 2011

billio

Equity as a source of funds, Private Depository Institutions (F.109, F of F)

‘Crisis’

• Suppose something makes banker net worth, Nt, drop.

• For given dt, bank cash constraint gets tighter:

b,t+1dt.

• So, Rdb,t+1 has to be low

— when Nt is low, banks with bad assets cannot cover their ownlosses and creditors must share in losses.

— then, creditors require Rdg,t+1 high

• So, interest rate spread, Rdg,t+1 − Rt, high, banker effort low.

• Banks get riskier (cross sectional mean return down, standarddeviation up).

‘Crisis’

• Suppose something makes banker net worth, Nt, drop.• For given dt, bank cash constraint gets tighter:

b,t+1dt.

‘Crisis’

b,t+1dt.

‘Crisis’

b,t+1dt.

‘Crisis’

b,t+1dt.

‘Crisis’

b,t+1dt.

‘Crisis’

b,t+1dt.

Leverage Restrictions• Banks face the following restriction:

Lt ≥Nt + dt

• What is the consequence of this restriction?— With less dt, banks with bad assets more able to cover losses

• interest rate spread, Rdb − R, falls, so banker effort rises.

— Second effect of leverage restriction,• leverage restriction in effect implements collusion amongbankers

• allows them to behave as monopsonists• make profits on demand deposits....lots of profits:

[p (et)

t+1 − Rdg,t+1

)+ (1− p (et))

t+1 − Rdb,t+1

)] big︷︸︸︷dtNt

• makes Nt grow, offseting incentive effects of decline in dt.

Lt ≥Nt + dt

• What is the consequence of this restriction?

— With less dt, banks with bad assets more able to cover losses• interest rate spread, Rd

b − R, falls, so banker effort rises.

[p (et)

t+1 − Rdg,t+1

)+ (1− p (et))

t+1 − Rdb,t+1

Lt ≥Nt + dt

[p (et)

t+1 − Rdg,t+1

)+ (1− p (et))

t+1 − Rdb,t+1

Lt ≥Nt + dt

[p (et)

t+1 − Rdg,t+1

)+ (1− p (et))

t+1 − Rdb,t+1

Lt ≥Nt + dt

— Second effect of leverage restriction,

• leverage restriction in effect implements collusion amongbankers

[p (et)

t+1 − Rdg,t+1

)+ (1− p (et))

t+1 − Rdb,t+1

Lt ≥Nt + dt

[p (et)

t+1 − Rdg,t+1

)+ (1− p (et))

t+1 − Rdb,t+1

Lt ≥Nt + dt

• allows them to behave as monopsonists

• make profits on demand deposits....lots of profits:

[p (et)

t+1 − Rdg,t+1

)+ (1− p (et))

t+1 − Rdb,t+1

Lt ≥Nt + dt

[p (et)

t+1 − Rdg,t+1

)+ (1− p (et))

t+1 − Rdb,t+1

Lt ≥Nt + dt

[p (et)

t+1 − Rdg,t+1

)+ (1− p (et))

t+1 − Rdb,t+1

Macro Model

• Sticky wages and prices• Investment adjustment costs• Habit persistence in consumption• Monetary policy rule

Calibration targets

Table 2: Steady state calibration targets for baseline modelVariable meaning variable name magnitude

Cross-sectional standard deviation of quarterly non-financial firm equity returns sb 0.20Fnancial firm interest rate spreads (APR) 400Rg

d − R 0.60Financial firm leverage L 20.00Allocative efficiency of the banking system peeg 1 − peeb 1Profits of intermediate good producers (controled by fixed cost, ) 0Government consumption relative to GDP (controlled by g) 0.20Growth rate of per capita GDP (APR) 400z

∗ − 1 1.65Rate of decline in real price of capital (APR) 400 − 1 1.69

Data behind calibration targets

Q3‐1962 Q1‐1968 Q2‐1973 Q4‐1978 Q1‐1984 Q2‐1989 Q4‐1994 Q1‐2000 Q3‐2005 Q4‐20100

quarterly data

Figure 1: Cross-section standard deviation financial firm quarterly return on equity, HP-filtered US real GDP

Cross‐section volatility (left scale)

Data behind calibration targets

Q3‐1962 Q1‐1968 Q2‐1973 Q4‐1978 Q1‐1984 Q2‐1989 Q4‐1994 Q1‐2000 Q3‐2005 Q4‐20100

quarterly data

Figure 1: Cross-section standard deviation financial firm quarterly return on equity, HP-filtered US real GDP

Cross‐section volatility (left scale)

HP‐filtered GDP (right scale)

Parameter Values

Table 1: Baseline Model Parameter ValuesMeaning Name ValuePanel A: financial parameters

return parameter, bad entrepreneur b -0.09return parameter, good entrepreneur g 0.00constant, effort function ā 0.83slope, effort function b 0.30lump-sum transfer from households to bankers T 0.38fraction of banker net worth that stays with bankers 0.85

Panel B: Parameters that do not affect steady statesteady state inflation (APR) 400 − 1 2.40Taylor rule weight on inflation 1.50Taylor rule weight on output growth Δy 0.50smoothing parameter in Taylor rule p 0.80curvature on investment adjustment costs S′′ 5.00Calvo sticky price parameter p 0.75Calvo sticky wage parameter w 0.75

Panel C: Nonfinancial parameterssteady state gdp growth (APR) z∗ 1.65steady state rate of decline in investment good price (APR) 1.69capital depreciation rate 0.03production fixed cost 0.89capital share 0.40steady state markup, intermediate good producers f 1.20habit parameter bu 0.74household discount rate 100−4 − 1 0.52steady state markup, workers w 1.05Frisch labor supply elasticity 1/L 1.00weight on labor disutility L 1.00steady state scaled government spending g 0.89

Steady State Calculations

• Next study steady state impact of leverage— Quantify role of hidden effort in the analysis (essential!)

Table 3: Steady State Properties of the ModelVariable meaning Variable name Unobserved Effort Observed Effort

Leverage Restriction Leverage Restrictionnon-binding binding non-binding binding

Spread 400Rgd − R 0.600 0.211 NA NA

scaled consumption c 1.84 1.88 2.01 1.95labor h 1.18 1.16 1.15 1.14scaled capital stock k 51.52 51.40 59.75 53.86bank assets N d 51.52 51.31 59.55 53.68bank net worth N 2.58 3.02 2.58 3.16bank deposits d 48.94 48.29 56.98 50.52bank leverage N d/N 20.00 17.00 23.12 17.00

bank return on equity (APR) 400petRt1

g 1−petRt1b Ntdt−Rtdt

Nt− 1 4.59 14.96 4.59 17.63

fraction of firms with good balance sheets pe 0.962 0.982 1.000 1.000Benefit of leverage (in c units) 100 NA 1.19 NA -2.70Benefit of making effort observable (in c units) 100 NA NA 6.11 2.03Note: (i) NA, not applicable, indicates that the number is not defined. (ii) All calculations based on a single set of parameter values, reported in Table 1.

Nt− 1 4.59 14.96 4.59 17.63

Making effort observable makes things a lot better, equivalent to a 6% permanent jump in consumption!Interestingly, leverage goes up.

Nt− 1 4.59 14.96 4.59 17.63

Making effort observable makes things a lot better, equivalent to a 6% permanent jump in consumption!Interestingly, leverage goes up.

Nt− 1 4.59 14.96 4.59 17.63

Cut in leverage in the unobserved effort economy moves things towards observed effort.

Nt− 1 4.59 14.96 4.59 17.63

Hidden effort assumption is essential. Otherwise, leverage restriction reduces utility.

Dynamics

• Here, we consider the dynamic effects of two shocks— shock to monetary policy— lump sum shock to net worth

5 10 15

5 10 15-0.35

Consumption

5 10 15

Investment

5 10 152.322.342.362.382.4

2.422.44

Inflation (APR)

5 10 15

Risk free rate (APR)

5 10 15-0.1

Interest rate spread (APR)

5 10 15

Prob of success

5 10 15

Cross-section std dev,Bank return on equity

5 10 15

Leverage (N+d)/N

5 10 15

Bank net worth (N)

Contractionary M policy shock:fall in:

c, i, y, bank net worth, N,inflation

Rise in:leveragecross‐sectional dispersion of bank performance

Rt 0.80Rt−1 1 − 0.801.5 t1 0.5gy,t tp

0p 25 annual basis points

5 10 15

5 10 15-0.35

Consumption

5 10 15

Investment

5 10 152.322.342.362.382.4

2.422.44

Inflation (APR)

5 10 15

5 10 15-0.1

5 10 15

Prob of success

5 10 15

Leverage (N+d)/N

5 10 15

Bank net worth (N)

Rt 0.80Rt−1 1 − 0.801.5 t1 0.5gy,t tp

5 10 15

5 10 15-0.35

Consumption

5 10 15

Investment

5 10 152.322.342.362.382.4

2.422.44

Inflation (APR)

5 10 15

5 10 15-0.1

5 10 15

Prob of success

5 10 15

Leverage (N+d)/N

5 10 15

Bank net worth (N)

Rt 0.80Rt−1 1 − 0.801.5 t1 0.5gy,t tp

5 10 15

5 10 15-0.35

Consumption

5 10 15

Investment

5 10 152.322.342.362.382.4

2.422.44

Inflation (APR)

5 10 15

5 10 15-0.1

5 10 15

Prob of success

5 10 15

Leverage (N+d)/N

5 10 15

Bank net worth (N)

Rt 0.80Rt−1 1 − 0.801.5 t1 0.5gy,t tp

5 10 15

-0.2Consumption

5 10 15

-0.4Investment

5 10 15

Inflation (APR)

5 10 154.2

5 10 15

0.9520.9540.956

0.9580.96

0.962Prob of success

5 10 150.2

5 10 15

Leverage (N+d)/N

5 10 15-11

Bank net worth (N)

Negative shock to bank net worth:fall in:

log TtT 0.95 log Tt−1

0T −0.10

5 10 15

-0.2Consumption

5 10 15

-0.4Investment

5 10 15

Inflation (APR)

5 10 154.2

5 10 15

0.9520.9540.956

0.9580.96

5 10 150.2

5 10 15

Leverage (N+d)/N

5 10 15-11

Bank net worth (N)

0T −0.10

5 10 15

-0.2Consumption

5 10 15

-0.4Investment

5 10 15

Inflation (APR)

5 10 154.2

5 10 15

0.9520.9540.956

0.9580.96

5 10 150.2

5 10 15

Leverage (N+d)/N

5 10 15-11

Bank net worth (N)

0T −0.10

5 10 15

-0.2Consumption

5 10 15

-0.4Investment

5 10 15

Inflation (APR)

5 10 154.2

5 10 15

0.9520.9540.956

0.9580.96

5 10 150.2

5 10 15

Leverage (N+d)/N

5 10 15-11

Bank net worth (N)

0T −0.10

Cyclicality of Leverage

• The model appears to imply countercyclical leverage.

• We took data from the Flow of Funds accounts to measureleverage.

— Problem: only report financial assets (af ) and liabilities (lf )

Lf =af

af − lf

— This measure of leverage can be negative or gigantic.

• We took measures of Lf for three components of financialbusiness, over a period for which Lf does not behave strangely,the 2000s.

• The model appears to imply countercyclical leverage.• We took data from the Flow of Funds accounts to measureleverage.

Lf =af

af − lf

Lf =af

af − lf

Lf =af

af − lf

Lf =af

af − lf

1975 1980 1985 1990 1995 2000 2005 2010-15

Holding Companies (L.128)liability growth - asset growth (yoy)

1975 1980 1985 1990 1995 2000 2005 2010

100liability growth - S&P500 growth (yoy)

1975 1980 1985 1990 1995 2000 2005 2010-1.5

Private Depository Institutions (L.109)liability growth - asset growth (yoy)

1975 1980 1985 1990 1995 2000 2005 2010

1975 1980 1985 1990 1995 2000 2005 2010-8

Security Brokers and Dealers (L.127)liability growth - asset growth (yoy)

1975 1980 1985 1990 1995 2000 2005 2010-40

1975 1980 1985 1990 1995 2000 2005 2010-15

1975 1980 1985 1990 1995 2000 2005 2010

1975 1980 1985 1990 1995 2000 2005 2010-1.5

1975 1980 1985 1990 1995 2000 2005 2010

1975 1980 1985 1990 1995 2000 2005 2010-8

1975 1980 1985 1990 1995 2000 2005 2010-40

1975 1980 1985 1990 1995 2000 2005 2010-15

1975 1980 1985 1990 1995 2000 2005 2010

1975 1980 1985 1990 1995 2000 2005 2010-1.5

1975 1980 1985 1990 1995 2000 2005 2010

1975 1980 1985 1990 1995 2000 2005 2010-8

1975 1980 1985 1990 1995 2000 2005 2010-40

Conclusion

• Described a model in which there is a problem that is mitigatedby the introduction of leverage restrictions.

• Described some loose tests of the model by looking at itsdynamic implications.

• Plan to study implications of the model for a broader class ofleverage rules.

Assets LiabilitiesLoans and other securities Deposits, dtNt + dt Banker net worth, Nt

• No agency problems on asset side of bank balance sheet.• Problems are on liability side.• Bankers receive credit, dt, from mutual funds.

— Mutual funds deal with households.

• No agency problems on asset side of bank balance sheet.

• Problems are on liability side.• Bankers receive credit, dt, from mutual funds.

• No agency problems on asset side of bank balance sheet.• Problems are on liability side.

• Bankers receive credit, dt, from mutual funds.

Risky Bankers Funded By Mutual Funds

Diversified,competitivemutual funds

Household

banker

Household

aft − lft

dLet =

af − lf− af

t(af − lf

t − dlft)

af − lfaf

t −af

t(af − lf

(af af

t − lf lft)

Let = af

t −1

af − lf(

af aft − lf lft

af − lf(

lft − aft

Lt =anf

t + aft

anft + af

t − lft

LLt =anf

anf + af − lfanf

anf + af − lfaf

− anf + af(anf + af − lf

(anf anf

t + af aft − lf lft

anf + af anft +

anf + af aft −

1anf + af − lf

(anf anf

t + af aft − lf lft

anf + af −anf

anf + af − lf

anf + af −af

anf + af − lf

anf + af − lflf lft

anf + af −anf

anf + af − lf

t −lf(

anf + af − lf) (

anf + af)af af

anf + af − lflf lft

= − lf anf(anf + af

) (anf + af − lf

) anft −

lf af(anf + af

) (anf + af − lf

) aft +

anf + af − lflft

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Simple New Keynesian Open Economy Modellchrist/course/...Extension to Small Open Economy • Outline – the equilibrium conditions of the open economy model system jumps from 6 equations

Leverage Restrictions in a Business Cycle Model

Ownership Restrictions

Leverage Restrictions in a Business Cycle Model · PDF fileLeverage Restrictions in a Business Cycle Model ... with well-performing portfolios pay a high interest rate. ... to a permanent

Leverage and capital structure - Birla Institute of …universe.bits-pilani.ac.in/uploads/Leverage and capital...Types of leverage •Operating leverage is concerned with the relationship

UCITS Alternatives - Dillon Eustace...derivatives. Global exposure (leverage) and counterparty exposure restrictions apply to the synthetic short positions, as discussed further below.

Dystopian Restrictions

PENGARUH OPERATING LEVERAGE DAN FINANCIAL LEVERAGE ... · i pengaruh operating leverage dan financial leverage terhadap harga saham dengan earning per share (eps) sebagai variabel

NEW RESTRICTIONS