On long-term credit risk assessment and rating: towards a new set of models

Institutional investors are supposed to assess credit risk by using a combination of quantitative information such as option models and qualitative assessments. Although option models can be easily constructed, they are not so suitable for the assessment of long-term credit risk that is required by institutional investors. This is mainly because the probability of bankruptcy varies so widely depending on the timing of assessment. We propose a new set of assessment models for long-term credit risk which does not necessarily use stock prices and may incorporate business cycles. The new grand model consists of the two pillars: a long-term cash flow prediction model and a credit risk spread assessment model. The calculated values derived from these models are effectively usable for reasonable calculation of risk spreads. It is quite interesting to see that our investigation indicates that rating bias may exist in the credit risk assessment of the market.     

The Effect of Business and Financial Market Cycles on Credit Ratings: Evidence from the Last Two Decades

We analyze the effect of business and financial market cycles on credit ratings using a sample of firms from the Russell 3000 index that are rated by Standard and Poor's over the period 1986–2012. We also examine investor reaction to credit rating actions in different stages of business and financial market cycles. We document that credit rating agencies are influenced by business and financial market cycles; they assign lower credit ratings during downturns of business and financial market cycles and higher ratings during upturns. Our study is the first to find strong evidence of pro‐cyclicality in credit ratings using a long window. We also document stronger investor reaction to negative credit rating actions during downturns. Our results confirm theoretical predictions and inform regulators.     

Credit cycle coherence in the eurozone: Was there a euro effect?

This paper examines effects of the euro introduction on credit cycle coherence in the eurozone through six channels. We construct and describe credit cycles for total bank credit, household mortgages and non-financial business loans for 16 EMU economies over 1990–2015. Credit cycle coherence is measured by synchronicity of cycle movements and similarity of their amplitudes. We find that the effect of euro introduction runs through elimination of currency risk and higher capital flows, which decrease coherence of total credit and mortgage credit cycles, but increase coherence of business credit cycles. Falling interest rates contribute to the convergence of total and mortgage credit cycles. Financial deregulation and legal harmonization are associated with lower coherence of all credit cycles, while trade openness has the opposite impact. The findings impinge on monetary policy effectiveness in the eurozone, with implications for macroprudential policy.     

Demand for money in developing countries: Some theoretical and empirical results

This paper examines the role of credit restraint variables in the demand for money function for developing countries where interest rates are inoperative. A simultaneous equation model is proposed to allow for the interaction between these variables and the supply of money. Statistical results indicate that credit restraint variables in the demand for money function have stronger explanatory power than either the inflation rate or the real rate of return on money. The paper also deals with partial demand adjustment and adaptive expectations mechanisms with particular reference to the existence of credit rationing and substitution between money and real assets.     

Stock return expectations in the credit market

In this paper we compute long-term stock return expectations (across the business cycle) for individual firms using information backed out from the credit derivatives market. Our methodology builds on previous theoretical results in the literature on stock return expectations and, empirically, we demonstrate a close relationship between credit-implied stock return expectations and future realized stock returns. We also find stock portfolios selected based on credit-implied stock return forecasts to beat equally- and value-weighted portfolios of the same stocks out-of-sample. Contrary to many other studies, our expectations/predictions are made at the individual stock level rather than at the portfolio level, and no parameter estimations using historical stock price- or credit spread observations are needed.     

中国信贷市场利率与经济波动:2004-2010

本文基于VAR和VEC模型对我国信贷市场利率与经济波动的关系进行实证分析。研究结果表明:(1)投资、消费对于信贷市场利率的冲击处于负的脉冲响应,投资的响应更显著。投资、消费对信贷市场利率的影响非常有限。(2)投资波动对产出波动起主要作用;产出对投资波动和消费波动的影响程度有限;(3)信贷市场利率与投资、消费、产出之间存在长期均衡关系。基于这些分析结论,文章提出若干政策建议。     

International house price cycles,monetary policy and credit

We evaluate three alternative predictors of house price corrections: anticipated tightenings of monetary policy, deviations of house prices from fundamentals, and rapid credit growth. A new cross-country measure of monetary policy expectations based on an international term structure model with time-varying risk premiums is constructed. House price overvaluation is estimated via an asset pricing model. The variables are incorporated into a panel logit regression model that estimates the likelihood of a large house price correction in 18 OECD countries. The results show that corrections are predicted by increases in the market’s forecast of higher policy rates. The estimated degree of house price overvaluation also contains significant information about subsequent price reversals. In contrast to the financial crisis literature, credit growth is less important. All of these variables help forecast recessions.     

Fear or fundamentals? Heterogeneous beliefs in the European sovereign CDS market

This paper proposes a model for credit default swap (CDS) spreads under heterogeneous expectations to explain the escalation in sovereign European CDS spreads and the widening variations across European sovereigns following the Global Financial Crisis (GFC). In our model, investors believe that sovereign CDS spreads are determined by country-specific fundamentals and momentum. By estimating the model we find evidence that, while some of the recent movements in sovereign CDS spreads can be explained by deteriorating fundamentals for core European Union (EU) countries, momentum has also played a destabilizing role since the GFC in all sovereign credit markets studied.     

经济政策不确定性、声誉机制与信用评级

本文以2007-2019年我国企业债券为样本,采用有序Probit回归模型探讨经济政策不确定性对信用评级的影响,研究结果表明:(1)经济政策不确定性的增加会促使评级机构显著降低信用评级,这种影响因产权性质存在显著差异,而且在债券市场刚性兑付被打破后更为显著;(2)声誉机制对上述影响产生积极的调节效应,声誉受损或声誉水平较高的评级机构会更加谨慎地评估经济政策不确定性的影响效应。基于此,政府应合理管控政策的出台和调整以增强社会预期,监管机构要不断强化对评级机构的监管,促使评级机构提高信用评级的质量。     

Sensitivity estimates for portfolio credit derivatives using Monte Carlo

Portfolio credit derivatives are contracts that are tied to an underlying portfolio of defaultable reference assets and have payoffs that depend on the default times of these assets. The hedging of credit derivatives involves the calculation of the sensitivity of the contract value with respect to changes in the credit spreads of the underlying assets, or, more generally, with respect to parameters of the default-time distributions. We derive and analyze Monte Carlo estimators of these sensitivities. The payoff of a credit derivative is often discontinuous in the underlying default times, and this complicates the accurate estimation of sensitivities. Discontinuities introduced by changes in one default time can be smoothed by taking conditional expectations given all other default times. We use this to derive estimators and to give conditions under which they are unbiased. We also give conditions under which an alternative likelihood ratio method estimator is unbiased. We illustrate the application and verification of these conditions and estimators in the particular case of the multifactor Gaussian copula model, but the methods are more generally applicable.      

Bank loan supply and monetary policy transmission in Germany: An assessment based on matching impulse responses

This paper addresses the credit channel in Germany by using aggregate data. We present a stylized model of the banking firm in which banks decide on their loan supply in the light of expectations about the future course of monetary policy. Applying a VAR model, we estimate the response of bank loans to a monetary policy shock taking account of the reaction of the output level and the loan rate. We estimate our model to evaluate the response of bank loans by matching the theoretical impulse responses with the empirical impulse responses to a monetary policy shock. Evidence in support of the credit channel can be reported.     

Understanding Bank and Nonbank Credit Cycles: A Structural Exploration

We explore the structural drivers of bank and nonbank credit cycles using a medium-scale dynamic stochastic general equilibrium (DSGE) model with two types of financial intermediation. We posit economywide and sectoral disturbances in both macro and financial sectors. We estimate that sectoral shocks to the balance sheets of entrepreneurs are important for fluctuations in bank and nonbank credit growth at the business cycle frequency. Economywide entrepreneurial risk shocks gain predominance for explaining the lower frequency comovement between the two series. Macro shocks play very little role in explaining financial cycles.     

An expectations-driven interpretation of the “Great Recession”

The boom-years preceding the “great recession” were a time of rapid innovation in the financial industry. We explore the idea that both the boom and eventual bust emerged from overoptimistic expectations of efficiency-gains in the financial sector. We treat the bankruptcy costs facing intermediaries in a costly state verification problem as a stochastic process, and model the boom-bust in terms of an unfulfilled news-shock where the expected fall in costs are eventually not realized. In response to a change in expectations only, the model generates a boom-bust cycle in aggregate activity, asset prices and leverage, and a countercyclical credit spread.     

What drives the systemic banking crises in advanced economies?

This paper examines the drivers of post-war “systemic” banking crises in advanced economies. Using binary response models and a balanced panel of data, we show that persistently large departures from the long-run trend in housing and stock markets best predict the crises. Similar deviations in credit markets do not add to the explanatory power of the model that combines housing and stock market dynamics. Indicators capturing financial market risk perception also have high explanatory power. These findings indicate that extrapolative forecasts and neglect of tail risk drive asset market boom-bust cycles and systemic banking crises. Cycles in credit markets are driven by cycles in real-estate and stock markets before the crises. Additionally, capital inflow bonanzas fuel the stock and credit booms that spark systemic crises.     

Overaccumulation,Interest, and Prices

I use a financial accelerator model to study interest and prices under boom–busts driven by changes in expectations about total factor productivity (TFP) and credit. I show that inflation falls in the boom phase of the TFP episode and then recovers during the bust, yet rises in the boom phase of the credit episode and then falls during the bust. Furthermore, for both episodes, the overaccumulation of debt relative to capital during the boom is critical for the busts since it implies a fall in credit worthiness. Finally, I show that stricter inflation targeting reduces inefficiencies in all instances but the boom phase of the TFP episode.     

Asset pricing under information with stochastic volatility

Based on a general specification of the asset specific pricing kernel, we develop a pricing model using an information process with stochastic volatility. We derive analytical asset and option pricing formulas. The asset prices in this rational expectations model exhibit crash-like, strong downward movements. The resulting option pricing formula is consistent with the strong negative skewness and high levels of kurtosis observed in empirical studies. Furthermore, we determine credit spreads in a simple structural model.      

On the Term Structure of Default Premia in the Swap and LIBOR Markets

Existing theories of the term structure of swap rates provide an analysis of the Treasury–swap spread based on either a liquidity convenience yield in the Treasury market, or default risk in the swap market. Although these models do not focus on the relation between corporate yields and swap rates (the LIBOR–swap spread), they imply that the term structure of corporate yields and swap rates should be identical. As documented previously (e.g., in Sun, Sundaresan, and Wang (1993)) this is counterfactual. Here, we propose a model of the default risk imbedded in the swap term structure that is able to explain the LIBOR–swap spread. Whereas corporate bonds carry default risk, we argue that swap contracts are free of default risk. Because swaps are indexed on "refreshed"-credit-quality LIBOR rates, the spread between corporate yields and swap rates should capture the market's expectations of the probability of deterioration in credit quality of a corporate bond issuer. We model this feature and use our model to estimate the likelihood of future deterioration in credit quality from the LIBOR–swap spread. The analysis is important because it shows that the term structure of swap rates does not reflect the borrowing cost of a standard LIBOR credit quality issuer. It also has implications for modeling the dynamics of the swap term structure.     

International business cycles with domestic and foreign lenders

We examine the international transmission of business cycles in a two-country model where credit contracts are imperfectly enforceable. In our economy, foreign lenders differ from domestic lenders in their ability to recover value from borrowers’ assets and, therefore, to protect themselves against contractual non-enforceability. The relative importance of domestic and foreign credit frictions changes over the cycle. This induces entrepreneurs to adjust their debt exposure and allocation of collateral between domestic and foreign lenders in response to exogenous productivity shocks. We show that such a model can explain the comovement of output across countries.     

Evaluating the impact of macroprudential policies on credit growth in Colombia

The purpose of this paper is to evaluate the effectiveness of two macroprudential policies in Colombia: marginal reserve requirements and dynamic provisions. The first measure was implemented to control excessive credit growth, while the latter was designed to increase systemic resilience by establishing a countercyclical buffer through loan loss provision requirements. To perform this analysis, a rich dataset based on loan-by-loan information for Colombian banks during the 2006–2009 period is used. Our identification strategy closely follows Khwaja & Mian (2008), so that only those observations with multiple banking relations are considered. Estimations are performed applying firm and firm-time fixed effects to control for demand factors, thus appropriately isolating loan demand from credit supply. Results from the econometric model suggest that dynamic provisions, the countercyclical reserve requirement and an aggregate measure of the macroprudential policy stance had a negative effect on credit growth, which varies according to bank and debtor-specific characteristics. Particularly, effects are intensified for riskier debtors, suggesting that the aggregate macroprudential policy stance in Colombia has worked effectively to stabilize credit cycles and reduce risk-taking.     

The synchronization of credit cycles

This paper proposes a simple econometric procedure to test for the synchronization of credit cycles. Using a century of data for 14 advanced economies, we find that credit cycle synchronization dropped in the early 1920s from initially relatively high levels. Between the 1920s and the 1970s synchronization was overall low and concentrated within five, predominantly regional, clusters. However, synchronization has significantly increased in the post-Bretton Woods era and has become less associated with geographic proximity: Australia, Denmark, France, Italy, Japan, Norway, Spain, Switzerland, the UK, and the US form a single major credit cycle cluster since the 1970s. A smaller cluster is formed by Canada, the Netherlands, and Sweden, while the German credit cycle follows a distinct path. Using logistic regressions, we find that the synchronization of credit and business cycles go hand in hand. Our findings are especially relevant for the international coordination of macroprudential policy, as well as to spur and inform further analysis on credit cycle dynamics.