Monetary policy became more difficult to characterize during and after the mortgage foreclose and financial crises because of a shift to a new credit policy focused on private sector credit and that relies on traditional commercial banking strategies. The new credit policy broke the tight link that had existed between Fed credit and its effective monetary base, the monetary base that affects monetary aggregates. The Fed has adopted an exit strategy, but the discretionary powers that it followed remain in place as does a mistaken policy on the payment of interest on excess reserves.

This paper contributes to the empirical literature on risk shifting. It proposes a method to find out whether risk shifting is present in the banking industry and, if so, what type. The type of risk shifting depends on the group of debt holders to whom risk is shifted. We apply this method to the US banking sector in 1998–2011. To study the relationship between risk shifting and the 2008 crisis, the sample is also split into pre-crisis, crisis, and post-crisis periods. Our results suggest that the same type of risk shifting is present in the entire sample and in the pre-crisis and crisis subsamples. We find no evidence of risk shifting after the crisis. Furthermore, holding capital buffers seems to disincentivize risk shifting. This finding appears to provide support for the conservative buffer included in Basel III.

We model the expected support of banks with credit ratings from Moody's and Fitch, taking explicitly into account the capacity and willingness of governments to provide support in case of need, as well as their concerns about moral hazard (i.e., that the expected support may induce banks to assume bigger risks). Our results suggest that moral hazard concerns are relatively weak. In addition, a substantial part of the expected support can be attributed to the quality of a country's institutions. These findings have important implications for the dynamics of banking crises, the value of the ‘fair’ insurance premium banks might be called upon to pay for the expected support, as well as for ways to reduce the resulting negative externalities.

This paper analyses the network structure of the credit default swap (CDS) market and its determinants, using a unique dataset of bilateral notional exposures on 642 financial and sovereign reference entities. We find that the CDS network is centred around 14 major dealers, exhibits a “small world” structure and a scale-free degree distribution. A large share of investors are net CDS buyers, implying that total credit risk exposure is fairly concentrated. Consistent with the theoretical literature on the use of CDS, the debt volume outstanding and its structure (maturity and collateralization), the CDS spread volatility and market beta, as well as the type (sovereign/financial) of the underlying bond are statistically significantly related—with expected signs—to structural characteristics of the CDS market.

This study proposes a novel framework which combines marginal probabilities of default estimated from a structural credit risk model with the consistent information multivariate density optimization (CIMDO) methodology and the generalized dynamic factor model (GDFM) supplemented by a dynamic t-copula. The framework models banks’ default dependence explicitly and captures the time-varying non-linearities and feedback effects typical of financial markets. It measures banking systemic credit risk in the three forms categorized by the European Central Bank: (1) credit risk common to all banks; (2) credit risk in the banking system conditional on distress on a specific bank or combinations of banks; and (3) the buildup of banking system vulnerabilities over time which may unravel disorderly. In addition, the estimates of the common components of the banking sector short-term and conditional forward default measures contain early warning features, and the identification of their drivers is useful for macroprudential policy. Finally, the framework produces robust out-of-sample forecasts of the banking systemic credit risk measures. This paper advances the agenda of making macroprudential policy operational.

The paper presents a simple dynamic macroeconomic model of a bank-dominated financial system that captures some of the key credit market imperfections commonly found in middle-income countries. The model is used to analyze the interactions between monetary and macroprudential policies, involving, in the latter case, changes in reserve requirements. In addition to a qualitative analysis, a calibrated version is used to study numerically the transitional dynamics and steady-state effects of an increase in the reserve requirement ratio, under alternative parameter values. The analysis shows that understanding how these tools operate is essential because they may alter, possibly in substantial ways, the monetary transmission mechanism.

The recent financial crisis has clearly shown that the relationship between bank internationalization and risk is complex. Multinational banks can benefit from portfolio diversification, reducing their overall riskiness, but this effect can be offset by incentives going in the opposite direction, leading them to take on excessive risks. Since both effects are grounded on solid theoretical arguments, the answer of what is the actual relationship between bank internationalization and risk is left to the empirical analysis. In this paper, we study such relationship in the period leading to the financial crisis of 2007–2008. For a sample of 384 listed banks from 56 countries, we calculate two measures of risk for the period from 2001 to 2007 – the expected default frequency (EDF), a market-based and forward-looking indicator, and the Z-score, a balance-sheet-based and backward-looking measure – and relate them to the degree of banks’ internationalization. We find robust evidence that international diversification increases bank risk.