Credit Risk and the Macroeconomy

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and the Macroeconomy Evidence From an Estimated Simon Gilchrist 1 Alberto Ortiz 2 Egon Zakrajšek 3 1 Boston University and NBER 2 Oberlin College 3 Federal Reserve Board XXVII Encuentro de Economistas Banco Central de Reserva del Perú Noviembre 2009

Macroeconomic-Financial Linkages The information content of credit spreads for the state of the economy suggests important linkages between the financial sector and the real economy. Quantify the importance of financial shocks in U.S. business cycle fluctuations. Construct financial series from security-level data. Use this information to estimate a DSGE model (CEE/SW) with the financial accelerator mechanism emphasized by BGG.

Preview of the Results Medium-risk long maturity (M-R/L-M) credit spreads have substantial predictive power for economic activity Estimation of a DSGE model that uses financial information to identify financial market distortions implies important role for credit-supply shocks for investment and output at business cycle frequencies.

Data Sources Introduction Credit Spreads: prices of outstanding corporate bonds traded in the secondary market (Lehman/Warga & Merrill Lynch): Sample period: Jan1973 Mar2009 927 U.S. (nonfarm) nonfinancial issuers 5,661 senior unsecured issues (364,403 bond/month observations) Spreads relative to yields on comparable-maturity Treasuries : Merton (1974) distance-to-default (DD) model

Selected Corporate Credit Spreads (1973:Q1 2009:Q1) Quarterly Basis points 600 NBER Peak Medium-Risk Long-Maturity Baa Q1 500 400 300 200 100 0 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009

Full Sample (1973:Q1 2009:Q1) Comparison of Out-of-Sample Predictive Accuracy (Sample period: 1973:Q1 2009:Q1; 4-quarter forecast horizon) Specification 1: term spread, real funds rate, Baa-Treasury spread Specification 2: medium-risk, long-maturity credit spread Jump-off point: 1989:Q4 Economic Activity Indicator RMSFE-1 RMSFE-2 Ratio Pr > S Private Payroll Employment 1.597 0.949 0.594 0.019 Unemployment Rate 0.840 0.562 0.669 0.022 Mfg. Industrial Production 4.693 3.132 0.667 0.007 Real Business Inventories 2.146 1.631 0.760 0.011 Real GDP 1.917 1.177 0.614 0.001 Real Business Fixed Investment 5.858 4.561 0.779 0.114

s with Financial Frictions Financial market imperfections imply that borrowers face an external finance premium (EFP) when trying to raise funds in capital/credit markets. EFP depends inversely on agents net worth. EFP is larger for agents subject to greater agency problems. The presence of EFP gives rise to the financial accelerator mechanism: During an economic downturn, asset prices fall and quality of borrowers balance sheets deteriorates. Worsening of borrowers balance sheet conditions causes premiums on the various forms of external finance to increase. As EFP jumps, agents cut back on their spending, causing asset prices to drop further, thereby amplifying the economic downturn.

Related Literature Introduction Christensen and Dib (2008): Provide quantitative evidence in favor of a financial accelerator mechanism. Queijo von Heideken (2008): Presence of financial frictions improves the fit of the model for both the U.S. and Euro area. De Graeve (2008): Recovers the model-implied EFP and relates it to measures of credit availability (i.e., credit spreads, bank lending standards). Christiano, Motto & Rostagno (2009): Demonstrate that shocks to the financial sector have played an important role in cyclical fluctuations in both the U.S. and Euro area.

Estimated Smets & Wouters (2007); Christiano, Motto & Rostagno (2009) Key features of the model: Habit formation in consumption. Higher-order adjustment costs to investment. Shocks to investment technology. Variable capacity utilization. Calvo-style price rigidities with partial indexation New Keynesian Phillips curve. Calvo-style wage rigidities with partial indexation. Nominal interest rate rule responds to inflation, output gap, and output growth.

Implementation Introduction Use medium-risk long-horizon credit spreads to measure external finance premium: s t = χ(q t + k t n t ) + ε fd t, χ > 0 n t = K ( ) K N rk t N 1 (s t 1 + r t 1 π t ) + θn t 1 + ε nw t z t q t + k t n t = log of leverage ratio Allow for credit-supply shocks: ε fd ε nw t t : disturbances to credit intermediation : disturbances to asset values that serve as collateral

Leverage in the U.S. Nonfinancial Corporate Sector (1973:Q1 2009:Q1) Quarterly NBER Peak Ratio 4.0 Q1 3.5 3.0 2.5 2.0 1.5 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 1.0

Shock Processes Introduction 9 structural shocks: Preferences: ε b t = ρ b ε b t 1 + η b t Technology: ε a t = ρ a ε a t 1 + η a t Government Spending: ε g t = ρ g ε g t 1 + ηg t + ρ gaη a t Price Mark-Up: ε p t = ρ p ε p t 1 + ηp t µ pη p t 1 Wage Mark-Up: ε w t = ρ w ε w t 1 + η w t µ w η w t 1 Monetary Policy: ε r t = ρ r ε r t 1 + ηt r Investment-Specific Technology: ε qs t = ρ qs ε qs t 1 + ηqs t Credit Spread: Net Worth: ε fd t ε nw t = ρ fd ε fd t 1 + ηfd t = ηt nw

Data Introduction 9 macroeconomic/financial series: GDP t = real GDP per capita CONS t = real PCE per capital (nondurable goods & services) INV t = real investment per capita (private fixed investment & durable goods PCE) W t = real wage per capita (nonfarm business sector) HRS t = average hours worked per capita (nonfarm business sector) P t = GDP price deflator FF t = effective federal funds rate LEV t = average leverage (nonfinancial corporate sector) CS t = M-R/L-M credit spread Sample period: 1973:Q1 2009:Q1

Contractionary Monetary Policy Shock (1-standard-deviation shock to federal funds rate) Output 0.1 Consumption 0.05 Investment 0.2 0.0-0.1-0.05 0.0-0.2-0.4-0.6-0.2-0.15-0.8-0.3-1.0-1.2-0.25 Hours worked 0.05 Wages Inflation 0.05 0.00-0.05-0.10-0.15 0.00-0.04-0.08 0.00-0.05-0.20-0.12-0.10-0.25-0.16 Federal funds rate 1.0 Leverage 0.8 Credit spread 0.030 0.8 0.7 0.025 0.6 0.6 0.5 0.020 0.4 0.4 0.015 0.2 0.3 0.010 0.2 0.0 0.1 0.005

Adverse Credit Spread Shock (1-standard-deviation shock to credit spreads) Output 0.05 Consumption 0.04 Investment 0.4 0.00 0.02 0.2 0.0 0.00-0.2-0.05-0.02-0.4-0.10-0.04-0.6-0.8 Hours worked 0.04 Wages 0.01 Inflation 0.015 0.02 0.00 0.010 0.00 0.005-0.02-0.01 0.000-0.04-0.02-0.005-0.06-0.03-0.010-0.08-0.04-0.015-0.020 Federal funds rate 0.02 Leverage 0.4 Credit spread 0.4 0.01 0.3 0.3 0.00 0.2-0.01 0.1 0.2-0.02 0.0 0.1-0.03-0.04-0.1 0.0

Adverse Net Worth Shock (1-standard-deviation shock to net worth) Output -0.1 Consumption 0.5 Investment 1-0.2 0.4-0.3 0.3 0.2-1 -0.4 0.1-0.5 0.0-3 -0.1-0.6-0.2-5 Hours worked 0.1 Wages 0.1 Inflation 0.20 0.0 0.0 0.15-0.1-0.1 0.10-0.2-0.2 0.05-0.3 0.00-0.3 Federal funds rate 0.2 Leverage 10 Credit spread 0.40 0.1 0.0 9 8 7 6 0.35 0.30 0.25-0.1 5 0.20 4 0.15

Horizon Net Worth Fin. Distress Investment Monetary Price markup Wage markup Technology Preference Government Output Growth 1Q 10.1 0.6 29.6 6.0 0.0 0.5 8.6 8.0 36.6 4Q 13.6 0.8 35.2 7.2 1.2 0.9 6.6 6.6 27.8 8Q 16.4 0.8 33.0 6.7 1.9 3.0 6.1 6.1 25.8 16Q 17.5 0.8 33.8 6.3 2.3 4.0 5.8 5.7 23.8 24Q 16.9 0.8 35.0 6.3 2.6 4.2 5.8 5.5 22.8 Asymptotic 17.9 0.8 34.6 6.3 2.6 5.3 5.6 5.3 21.6 Consumption Growth 1Q 0.2 0.0 0.0 11.5 0.2 0.6 0.0 87.4 0.1 4Q 0.8 0.0 0.2 16.5 0.8 2.9 0.1 78.7 0.1 8Q 2.3 0.0 1.1 15.0 2.4 6.6 0.1 72.4 0.1 16Q 7.9 0.1 2.9 13.3 2.4 8.3 0.2 64.7 0.1 24Q 12.3 0.1 3.0 12.6 2.6 7.9 0.3 61.0 0.2 Asymptotic 13.0 0.2 6.0 12.1 2.6 9.0 0.3 56.6 0.2 Investment Growth 1Q 10.0 1.3 83.9 4.3 0.2 0.0 0.2 0.0 0.0 4Q 16.5 1.5 75.9 4.3 1.0 0.4 0.3 0.1 0.0 8Q 21.9 1.4 69.2 4.0 1.4 1.6 0.3 0.2 0.0 16Q 23.0 1.3 67.9 3.6 1.6 2.1 0.3 0.2 0.0 24Q 21.8 1.4 68.6 3.5 1.9 2.2 0.4 0.2 0.0 Asymptotic 23.0 1.4 66.2 3.6 1.9 3.3 0.4 0.2 0.0

Horizon Net Worth Fin. Distress Investment Monetary Price markup Wage markup Technology Preference Government Hours 1Q 9.0 0.6 27.1 5.4 0.1 0.5 16.6 7.3 33.5 4Q 17.1 1.1 42.7 9.3 0.5 1.7 5.5 6.4 15.8 8Q 27.9 1.2 37.4 9.7 1.5 4.7 2.5 4.9 10.2 16Q 46.0 1.0 21.2 7.9 1.6 10.6 1.2 3.5 7.0 24Q 55.4 0.7 15.4 6.1 1.1 11.5 1.0 2.7 5.9 Asymptotic 54.8 0.7 21.0 4.6 1.4 9.2 1.1 2.1 5.1 Wage Growth 1Q 0.1 0.0 0.0 0.0 8.9 90.9 0.1 0.0 0.0 4Q 0.1 0.0 0.0 0.0 17.0 82.4 0.4 0.0 0.0 8Q 0.2 0.0 0.2 0.0 18.2 80.8 0.7 0.0 0.0 16Q 0.3 0.0 0.5 0.0 17.7 80.8 0.7 0.0 0.0 24Q 0.7 0.0 0.5 0.0 17.7 80.2 0.7 0.0 0.0 Asymptotic 1.2 0.0 0.7 0.0 17.6 79.6 0.8 0.0 0.0 Inflation 1Q 0.2 0.0 0.2 0.0 86.3 11.6 1.5 0.0 0.1 4Q 0.7 0.0 1.0 0.1 53.8 40.1 3.8 0.1 0.4 8Q 1.0 0.0 2.4 0.1 37.5 54.5 3.9 0.1 0.5 16Q 1.0 0.1 6.2 0.1 28.8 59.7 3.3 0.1 0.7 24Q 1.7 0.2 8.8 0.2 27.4 57.7 3.1 0.1 0.8 Asymptotic 7.7 0.3 9.3 0.4 25.0 53.5 2.9 0.1 0.7

Horizon Net Worth Fin. Distress Investment Monetary Price markup Wage markup Technology Preference Government Interest rate 1Q 1.8 0.0 0.1 82.3 3.9 1.3 2.2 8.1 0.3 4Q 8.2 0.0 0.6 66.4 3.0 8.9 5.0 6.8 1.0 8Q 14.5 0.1 0.5 44.2 6.7 22.3 5.9 4.5 1.4 16Q 16.6 0.1 4.9 31.1 5.3 32.4 4.9 3.2 1.5 24Q 14.6 0.3 12.6 27.1 4.6 32.4 4.2 2.8 1.4 Asymptotic 20.7 0.5 16.0 22.7 3.7 29.4 3.4 2.4 1.1 Leverage 1Q 99.0 0.1 0.4 0.4 0.0 0.1 0.0 0.0 0.0 4Q 98.8 0.1 0.7 0.3 0.0 0.1 0.0 0.0 0.0 8Q 98.1 0.0 1.4 0.2 0.1 0.1 0.0 0.0 0.0 16Q 95.9 0.0 3.3 0.1 0.2 0.4 0.0 0.0 0.0 24Q 93.6 0.0 5.1 0.1 0.3 0.8 0.0 0.0 0.0 Asymptotic 90.6 0.1 6.7 0.2 0.3 2.0 0.0 0.1 0.0 External Finance Premium 1Q 52.8 46.7 0.2 0.2 0.0 0.1 0.0 0.0 0.0 4Q 61.3 38.0 0.4 0.2 0.0 0.1 0.0 0.0 0.0 8Q 69.0 29.7 1.0 0.2 0.1 0.1 0.0 0.0 0.0 16Q 75.9 20.9 2.7 0.1 0.1 0.3 0.0 0.0 0.0 24Q 77.5 17.2 4.2 0.1 0.2 0.7 0.0 0.0 0.0 Asymptotic 77.1 15.0 5.7 0.1 0.3 1.7 0.0 0.1 0.0

Decomposition of Investment Growth (Percentage point deviation (annual rate) from steady state) 40 30 20 10 0-10 -20-30 Financial Price mark-up Preference Investment Wage mark-up Government -40 Monetary Technology Data -50-60 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007

Decomposition of Consumption Growth (Percentage point deviation (annual rate) from steady state) 8 6 4 2 0-2 -4-6 -8 Financial Investment Price mark-up Wage mark-up Preference Government -10 Monetary Technology Data -12-14 -16 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007

Decomposition of Output Growth (Percentage point deviation (annual rate) from steady state) 20 Financial Price mark-up Preference 15 Investment Wage mark-up Government Monetary Technology Data 10 5 0-5 -10-15 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007-20

Decomposition of Federal Funds Rate (Annualized percentage point deviation from steady state) Financial Price mark-up Preference 14 Investment Wage mark-up Government 12 Monetary Technology Data 10 8 6 4 2 0-2 -4-6 -8 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007

Decomposition of Leverage (Percentage point deviation from steady state) Financial Price mark-up Preference 100 Investment Wage mark-up Government Monetary Technology Data 80 60 40 20 0-20 -40-60 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007

Decomposition of M-R/L-M Credit Spread (Annualized percentage point deviation from steady state) 5 Financial Price mark-up Preference Investment Monetary Wage mark-up Technology Government Data 4 3 2 1 0-1 -2 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007

Decomposition of Price Inflation (Percentage point deviation (annual rate) from steady state) Financial Price mark-up Preference 10 Investment Wage mark-up Government Monetary Technology Data 8 6 4 2 0-2 -4-6 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007

Decomposition of Wage Inflation (Percentage point deviation (annual rate) from steady state) Financial Price mark-up Preference 12 Investment Wage mark-up Government 10 Monetary Technology Data 8 6 4 2 0-2 -4-6 -8 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007

Decomposition of Hours Worked (Percentage point deviation from steady state) 8 6 4 2 0-2 -4-6 -8 Financial Price mark-up Preference -10 Investment Wage mark-up Government Monetary Technology Data -12-14 -16 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007

Concluding Remarks Medium-risk long-maturity (M-R/L-M) credit spreads have substantial predictive power for economic activity. Estimation of a DSGE model that uses M-R/L-M credit spreads to identify financial market distortions implies important role for credit-supply shocks for investment and output at business cycle frequencies. Directions for future research: Addition of frictions in the intermediation process linking household borrowing to asset prices. Explicit modeling of the financial sector.

Priors & Posteriors: Structural Parameters Prior Posterior Parameter Distr. Mean SD Mode Mean P5 P95 χ Beta 0.05 0.02 0.01 0.01 0.01 0.01 ϕ Normal 4.00 1.50 4.62 6.98 5.43 8.56 σ c Normal 1.50 0.37 0.98 0.95 0.88 1.02 h Beta 0.70 0.10 0.90 0.92 0.89 0.95 ξ w Beta 0.50 0.10 0.94 0.77 0.68 0.87 σ l Normal 2.00 0.75 2.36 1.43 0.25 2.73 ξ p Beta 0.50 0.10 0.72 0.74 0.68 0.80 ι w Beta 0.50 0.15 0.38 0.46 0.25 0.67 ι p Beta 0.50 0.15 0.65 0.38 0.19 0.61 ψ Beta 0.50 0.15 0.36 0.57 0.44 0.71 φ p Normal 1.25 0.12 1.70 1.49 1.36 1.64

Priors & Posteriors: Structural Parameters (cont.) Prior Posterior Parameter Distr. Mean SD Mode Mean P5 P95 r π Normal 1.50 0.25 1.10 1.72 1.45 1.97 ρ Beta 0.75 0.10 0.74 0.79 0.75 0.84 r y Normal 0.12 0.05 0.001 0.08 0.04 0.12 r y Normal 0.12 0.05 0.14 0.17 0.12 0.23 π Gamma 0.62 0.10 0.88 0.77 0.61 0.94 100(β 1 1) Gamma 0.25 0.10 0.34 0.27 0.14 0.43 l Normal 0.00 2.00-5.61-4.61-5.56-3.70 γ Normal 0.40 0.10 0.33 0.36 0.33 0.39 α Normal 0.30 0.05 0.26 0.20 0.17 0.23 z Normal 52.0 10.0 45.7 45.3 40.6 50.3 s Normal 0.39 0.10 0.35 0.34 0.26 0.41

Priors & Posteriors: Shock Processes Volatility Parameters Prior Posterior Parameter Distr. Mean SD Mode Mean P5 P95 σ n Invgamma 0.10 2.00 7.88 8.15 7.38 8.91 σ fd Invgamma 0.10 2.00 0.08 0.08 0.07 0.09 σ qs Invgamma 0.10 2.00 0.56 0.47 0.33 0.59 σ a Invgamma 0.10 2.00 0.41 0.41 0.37 0.46 σ b Invgamma 0.10 2.00 0.14 0.12 0.09 0.15 σ g Invgamma 0.10 2.00 0.50 0.50 0.45 0.55 σ r Invgamma 0.10 2.00 0.25 0.25 0.22 0.28 σ p Invgamma 0.10 2.00 0.20 0.18 0.12 0.23 σ w Invgamma 0.10 2.00 0.21 0.23 0.18 0.27

Priors & Posteriors: Shock Processes (cont.) Persistence Parameters Prior Posterior Parameter Distr. Mean SD Mode Mean P5 P95 ρ fd Beta 0.50 0.20 0.84 0.84 0.79 0.89 ρ qs Beta 0.50 0.20 0.61 0.74 0.61 0.87 ρ a Beta 0.50 0.20 0.92 0.84 0.75 0.93 ρ b Beta 0.50 0.20 0.29 0.52 0.37 0.68 ρ g Beta 0.50 0.20 0.89 0.89 0.82 0.96 ρ r Beta 0.50 0.20 0.22 0.19 0.07 0.30 ρ p Beta 0.50 0.20 0.64 0.82 0.71 0.94 ρ w Beta 0.50 0.20 0.80 0.88 0.80 0.96 µ p Beta 0.50 0.20 0.89 0.82 0.64 0.99 µ w Beta 0.50 0.20 0.72 0.75 0.61 0.89 ρ ga Beta 0.50 0.20 0.62 0.47 0.30 0.65