A Structural Model Of Sovereign Credit Risk
Dan diBartolomeoEmilian BelevJanuary, 2013
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Presentation Outline
Motivation
Review of Contingent Claims Analysis for Corporations
Key Literature: Bodie, Gray Merton (2005)
Northfield “spin” on BGM
Some “Real” Political Illustrations
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Structural Model for Sovereign Credit Risk
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“A Crisis is a Terrible Thing to Waste”, Paul Romer
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The New Normal
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Sovereign Debt and the Financial System The Global Financial Crisis of 2007-2009 and the ongoing problems of the European financial system leave little doubt about the current state of affairs
National governments have no choice but to keep major banks and financial institutions intact: TBTFIRR
One of the largest investments by banks and other financial institutions is sovereign bonds If a sovereign nation defaults on their debts, the banks
are the big losers so there are more bailouts: a death spiral
The allocation to sovereign debt increases in crises Investment theory is left searching for a risk free
asset The S&P downgrade of US Treasury debt
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Review of CCA for Corporations
Merton (1974) poses the equity of a firm as a European call option on the firm’s assets, with a strike price equal to the face value of the firm’s debt• Alternatively, lenders are short a put on the firm assets• Default can occur only at debt maturity
Black and Cox (1976) provide a “first passage” model • Default can occur before debt maturity• Firm extinction is assumed if asset values hit a boundary
value (i.e. specified by bond covenants)
Leland (1994) and Leland and Toft (1996) • Account for the tax deductibility of interest payments
and costs of bankruptcy• Estimate boundary value as where equity value is
maximized subject to bankruptcy Slide 6
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Analogy with Corporate Debt
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-10
-5
0
5
10
15
Corporate Asset DistributionCorporate DebtAsset Level
Inputs to Credit Model: σ Debt Asset Level
Model States: βbond = βstock * -(Pstock / Pbond) * (Δput/ Δcall)
Corollaries: ① LGD = Pbond* scalar; ② LGD & OAS Prob. Default
Asset Return
Probability Density
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Practical Outcomes of the CCA FrameworkThe value of a corporate bond is split into two pieces
A portion of the value is a risk free bondThe remainder of the value is equity in the
firm
The equity portion goes to zero during bankruptcy so you know your “expected loss given default” (LGD)
Conditional on an estimate of the risk aversion of bond investors, you can derive the “probability of default” (PD) from the LGD and the credit yield spread (OAS)
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Key Literature for our Model
Bolster, Paul, Ronald Johnson and Venkat Srinivasan,“Sovereign Debt Ratings: A Judgmental Model Based on the Analytic Hierarchy Process”, Journal of International Business Studies, 1990.
Bodie, Zvie, Dale Gray and Robert Merton, “A New Framework for Analyzing and Managing Macrofinancial Risks of an Economy”, National Bureau of Economic Research, 2005.
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More on Bodie, Gray, Merton (2005)The paper provides a complex system of theoretical balance sheet relationships among three types of entities: the Corporate Sector, the Financial Sector including Central Banks, and Sovereign Governments
The interrelationships between sectors are modeled as a set of put and call options among the players
The government has a call on corporate assets (taxes)
The banks have a call on the government (bailouts)
A key attribute (asset) of some but not all governments is a monopoly authority on the printing of money
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Pragmatic Options for Governments
Under CCA, corporate shareholders have the option to pay off the firm’s debts and own the assets outright. Sovereign governments have the option to impose fiscal austerity measures (higher taxes, cut spending) as in Italy and Spain today.
As we’ll see in a minute, this can be counterproductive
Under CCA, corporate shareholders can use their limited liability put option to walk away and give the assets of the firm to the bondholder. Only some sovereign governments have the option to print money to inflate their way out of debt (think of Zimbabwe).
Note this is not the same as a government using the printing of money to stimulate the economy in a Keynesian framework
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Inputs to Sovereign Credit Model
• Asset Level is the sum of:• Domestic and foreign currency reserves, deposits in banks and
receivables, commodities reserves, and others• The projected long term stream of taxes, fees, tariffs,
exploration rights, all discounted to present value• Given appropriate projections of GDP and its components –
individual income, corporate income, and international trade, as well as established tax rates - we can find the second component
• Liability Level is the sum of:• Notional debt in local currency held domestically• Notional debt in local currency held by foreign entities• Foreign currency debt• Reserves for bank bailouts• Reserves for unfunded pensions and entitlements
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Inputs to Sovereign Credit Model (cont’d)
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Inputs to Sovereign Credit Model (cont’d)Sovereign Asset Volatility is upper bounded by Stock Market
Volatility• On one side
• As net groups, companies are a relatively smaller number of providers and individuals are relatively larger number of price takers
• Productivity growth gains (synonymous with GDP growth) accrue to capital owners while, when economy shrinks, wages are rigid in downward direction, and brunt of the business loss is taken by capital owners
• So, when economy booms, corporations accrue gains faster than individuals; when economy slumps, corporations accrue losses faster than individuals
• On the other side• Market capitalization is the future corporate profit stream
discounted to the present moment. A fixed tax rate applied to corporate profits results in the same volatility number for the corporation and the corporate tax stream Slide 14
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GDP Projections and Demographics
• GDP discounted cash-flow model is the baseline for the sovereign asset level estimation
• Arnott and Chaves (2012) find a strong relationship between demographic variables (age group shares) and GDP growth
• Demographic trends are predictable out in the future with great degree of certainty. Today’s 40 yr olds are next year’s 41 yr olds.
• Demographics affect one more important input for the option default model– the strike price, or the level of debt• An aging population increases the dis-saving and divestment in
“safe” assets, pushing down financial asset prices and increasing borrowing costs to the government, making debt service more onerous
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Inputs to Sovereign Credit Model (cont’d)
• Sovereign Asset Volatility continued:• In the US, personal Income tax corresponds to approx.
80% of federal tax revenue• Return on Personal Income is dependent on the same
economic drivers as the stock market, but is exposed in a muted and lagged way for the reasons mentioned.
• A lagged equation can link return on personal income to the risk model factors
• Personal Income Tax stream then becomes just another “position” in the sovereign asset portfolio with known risk factor exposures
• We can estimate σ for our default “option” model
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Governments are Short the Bailout Put
• The “systemic” banks and most pension funds (ie.g. PBGC) have a call option on government bailout funds• If you assume banks need 8% equity capital
you just need to know how big the “big banks” balance sheets (total assets) are relative to GDP
• US, 65%, UK 337%, France 249%, Switzerland 550%
Underfunding of public (state and local) pensions in the US is a big issue. The gap is between $2 and $5 Trillion depending on what accounting standard you like
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Government and A Single Bank
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Joint Distribution of Sovereign and Bank Assets
Actual Multinomial Model
Sovereign Asset Return
Bank Asset Return
Bank Asset Return
Sovereign Asset Return
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Distress zone
• The correlated expected tail loss on the bank side accumulates to the sovereign asset loss side at each density level, fattening the tail of the sovereign distribution
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Types of Sovereign Credits
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Three ways in which Sovereigns can react to a crisis in the real / banking / government finance sector:
• Respond via fiscal means – increase taxation / divert tax revenues to prop banking capital and infrastructure investment (Fiscally Responsive Sovereigns)
• React “responsibly” with monetary means – increase supply of credit to support banking liquidity and assure sovereign financing (Monetarily Responsive Sovereigns)
• Engage in irresponsible money creation or ruthless default (Rogue Sovereigns)
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Fiscally Responsive
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• Governments are elected by taxpayers, not bondholders
• Consequently their priority is to save economy
• Credit outlook is supported in the long run, but shorter term credit quality takes back stage
• Action plans span a wide spectrum – from austerity support to “fiscal cliff” prevention
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Fiscally Responsive (cont’d)
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PSov_FISC =
Put Value =
R* = r + β RM+ RS
R* - “risk-neutral” return; RM – return on factor; RS – asset specific return
In the case of a Sovereign and a Single Bank bailout:
P =
In the case of a Sovereign and n – bank bailout:
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Monetarily Responsive
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• Some governments are effectively able to control the amount of the national currency in circulation
• In times of crisis central banks have a similar objective and align their action with governments
• The “print” option is more subtle than tax hikes and does not require political approval
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Monetarily Responsive (cont’d)
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• The “print” scenario is also more advantageous to debt-holders as it spreads the credit loss with all users of the currency
PSov = (1 / MS ) * PSov_FISC
MS - Money Supply in its narrowest definition - currency in circulation and cash equivalents.
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Rogue Sovereigns
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• Rogue governments have little concern for taxpayers or the long term economic outlook • As long as government revenues fall under the debt threshold, the print route is imminent• Money is printed to meet ongoing government spending and current debt, not to pursue any real Keynesian effects to improve the economy• As soon as price level increases, meeting the ongoing spending becomes a moving target. Inflation rate becomes exponentially related to time.
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Rogue Sovereigns (cont’d)
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1030
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Rogue Sovereigns (cont’d)
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PSov = {D - [D / H(t)]} + [ (1 / MS )
H(t) is the projected level of hyperinflation process.
D is the Sovereign Debt level
A is the Sovereign Asset level
• What about asset volatility ?
• Rogue sovereign domiciles often don’t have a liquid and transparent stock market which is an input to the credit model.
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Rogue Sovereigns (cont’d)
• Sovereign asset volatility can be inferred:• Foreign currency debt is politically sensitive, prompting rogue
government to grant it seniority
• Foreign currency debt, hedged into local currency, is a portfolio of two call options:• A long call on sovereign assets with a strike = local
currency debt value• A short call on sovereign assets with a strike = foreign
currency debt value translated into local currency
• We can use this portfolio to infer market implied sovereign asset volatility
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A Simplified Summary
Sovereign debt can be broken into two value portions. The first is “transcendentally riskless” the way we used to think of risk free assets. The second is equity in the banking system that holds the government’s debt and also has a call on bailout funding.
Governments have some options about what they do to manage their economies. The relative attractiveness of the options depends on the nature of the liability mix, the volatility of the tax revenue stream and whether the option to print money in still in place.
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Conclusions
• A model that captures the dynamics of sovereign credit risk in an economically justified way
• The methodology is comprehensive regarding the customary types of government responses to a credit crisis
• This model limits the use of implied inputs, which is dominant in other models
• It is computationally tractable and does not pose insurmountable data requirements
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Conclusions
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References• DiBartolomeo, Dan, “Equity Risk, Credit Risk, Default Correlation, and Corporate
Sustainability”, The Journal of Investing, Winter 2010, Vol. 19, No. 4: pp. 128-133• Merton, R.C., “On the Pricing of Corporate Debt: The Risk Structure of Interest Rates”,
Journal of Finance, 29 (1974), pp. 449-470• Leland, Hayne, and Klaus Bjerre Toft, “Optimal Capital Structure, Endogenous
Bankruptcy, and the Term Structure of Credit Spreads”, Journal of Finance, 51 (1996), pp 987-1019
• Zeng, B., and J. Zhang, “An Empirical Assessment of Asset Correlation Models.”, Moody’s KMV Working Paper, 2001.
• Gray, Dale F., Robert C. Merton and Zvi Bodie, "Contingent Claims Approach to Measuring and Managing Sovereign Credit Risk", July 3, 2007
• Belev, Emilian, "The Euro Zone Debt Crisis vs. Northfield's Near Horizon Adaptive EE Risk Model - A Reality Check", Northfield working papers, http://www.northinfo.com/Documents/496.pdf, December 2011
• Bolster, Paul, Ronald Johnson and Venkat Srinivasan,“Sovereign Debt Ratings: A Judgmental Model Based on the Analytic Hierarchy Process”, Journal of International Business Studies, 1990.
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