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We contribute to the empirical literature on the impact of non-performing loan (NPL) ratios on aggregate banking sector variables and the macroeconomy by estimating a panel Bayesian VAR model for twelve euro area countries. The model is estimated assuming a hierarchical prior that allows for country-specific coefficients. The VAR includes a large set of variables and is identified via Choleski factorisation. We estimate the impact of exogenous shocks to the change in NPL ratios across countries. The main findings of the paper are as follows: i ) An impulse response analysis shows that an exogenous increase in the change in NPL ratios tends to depress bank lending volumes, widens bank lending spreads and leads to a fall in real GDP growth and residential real estate prices; ii ) A forecast error variance decomposition shows that shocks to the change in NPL ratios explain a relatively large share of the variance of the variables in the VAR, particularly for countries that experienced a large increase in NPL ratios during the recent crises; and iii ) A three-year structural out-of-sample scenario analysis provides quantitative evidence that reducing banks' NPL ratios can produce significant benefits in euro area countries in terms of improved macroeconomic and financial conditions.

We use an industrial organisation approach to quantify the size of Total Factor Productivity Growth (TFPG) for euro area banks after the crisis and decompose it into its main driving factors. In addition, we disentangle permanent and time-varying inefficiency in the banking sector. This is important because lack of distinction may lead to biased estimates of inefficiency and because the set of policies needed in both cases is different. We focus on 17 euro area countries over the period 2006 to 2017. We find that cost efficiency in the euro area banking sector amounted to around 84% on average over the 2006 to 2017 period. In addition, we observe that Total Factor Productivity growth for the median euro area bank decreased from around 2% in 2007 to around 1% in 2017, with technological progress being the largest contributor, followed by technical efficiency. Given the need to boost productivity and enhance profitability in the euro area banking sector, these findings suggests that bank's efforts in areas such as rationalisation of branches, digitalisation of business processes and possibly mergers and acquisitions should be intensified.

We contribute to the empirical literature on the impact of shocks to bank capital in the euro area by estimating a Bayesian VAR model identified with sign restrictions. The variables included in the VAR are those typically used in monetary policy analysis, extended to include aggregate banking sector variables. We estimate two shocks affecting the euro area economy, namely a demand shock and a shock to bank capital. The main findings of the paper are as follows: i) Impulse-response analysis shows that in response to a shock to bank capital, banks boost capital ratios by reducing their relative exposure to riskier assets and by adjusting lending to a larger extent than they increase the level of capital and reserves per se; ii) Historical shock decomposition analysis shows that bank capital shocks have contributed to increasing capital ratios since the crisis, impairing bank lending growth and contributing to widen bank lending spreads; and iii) counterfactual analysis shows that higher capital ratios pre-crisis would have helped dampening the euro area credit and business cycle. This suggests that going forward the use of capital-based macroprudential policy instruments may be helpful to avoid a repetition of the events seen since the start of the global financial crisis.

We estimate regime switching models where the strength of the response of monetary policy to macroeconomic conditions depends on the level of risk associated with the inflation outlook and risk in financial markets. Using quarterly data for the Greenspan period we find that: i) risk in the inflation outlook and volatility in financial markets are a powerful driver of monetary policy regime changes in the U.S.; ii) the response of the US Fed to the inflation outlook is invariant across policy regimes; iii) however, in periods of high economic risk, monetary policy tends to respond more aggressively to the output gap and the degree of inertia tends to be lower than in normal circumstances; and iv) the US Fed is estimated to have responded aggressively to the output gap in the late 1980s and begging of the 1990s, and in the late 1990s and early 2000s.

This paper analyses the cross-country heterogeneity in retail bank lending rates in the euro area and presents newly developed pass-through models that account for the riskiness of borrowers, the balance sheet constraints of lenders and sovereign debt tensions affecting interest rate-setting behaviour. Country evidence for the four largest euro area countries shows that downward adjustments in policy rates and market reference rates have translated into a concomitant reduction in bank lending rates. In the case of Spain and Italy, however, sovereign bond market tensions and a deteriorating macroeconomic environment have put upward pressure on composite lending rates to non-financial corporations and households. At the same time, model simulations suggest that higher lending rates have propagated to the broader economy by depressing economic activity and inflation. As a response to increasing financial fragmentation, the ECB has introduced several standard and non-standard monetary policy measures. These measures have gone a long way towards alleviating financial market tensions in the euro area. However, in order to ensure the adequate transmission of monetary policy to financing conditions, it is essential that the fragmentation of euro area credit markets is reduced further and the resilience of banks strengthened where needed. Simulation analysis confirms that receding financial fragmentation could help to boost economic activity in the euro area in the medium term. JEL Classification: J64

We implement a two-step approach to construct a financing conditions index (FCI) for the euro area and its four larger member states (Germany, France, Italy and Spain). The method, which follows Hatzius et al. (2010), is based on factor analysis and enables to summarise information on financing conditions from a large set of financial indicators, controlling for the level of policy interest rates, changes in output and inflation. We find that the FCI tracks successfully both worldwide and euro area specific financial events. Moreover, while the national FCIs are constructed independently, they display a similar pattern across the larger euro area economies over most of the sample period and varied more widely since the start of the sovereign debt crisis in 2010. Focusing on the euro area, we then incorporate the FCI in a VAR model comprising output, inflation, the monetary policy rate, bank loans and bank lending spreads. The credit supply shock extracted with sign restrictions is estimated to have caused around one fifth of the decline in euro area manufacturing production at the trough of the financial crisis and a rise in bank lending spreads of around 30 basis points. We also find that adding the FCI to the VAR enables an earlier detection of credit supply shocks.

Foreign bank presence has substantially increased in Latin America during the second half of the 1990s, which has prompted an intense debate on its banking and macroeconomic consequences. In this paper, we apply ARCH techniques to jointly estimate the impact of foreign bank presence on the level and volatility of real credit in a panel of eight Latin American countries, using quarterly data over the period 1995:1-2001:4. Results show that, together with financial development, foreign bank presence has contributed to reduce real credit volatility, improving the buffer shock function of the banking sector. This finding is consistent with the fact that foreign banks are typically well diversified institutions holding higher quality assets and having access to a broad set of liquidity sources. Keywords: foreign banks; credit volatility; Latin America; panel data; ARCH techniques

The bulk of recent literature on foreign exchange interventions has overlooked the potential interdependencies that may exist between these operations and the conduct of monetary policy. This is the case even under inflation targeting and especially in emerging-market economies, because central banks often explicitly reserve the right to intervene to calm disorderly markets and to accumulate foreign reserves, and when the exchange rate is perceived as being out of step with fundamentals. This paper uses a friction model to estimate intervention reaction functions and the associated marginal effects for Brazil and the Czech Republic since the adoption of inflation targeting in these countries in 1999 and 1998, respectively.

In this paper, an intertemporal model is used to analyze the current account and test whether it accounts for the evolution of the Argentinean current account over the period extending from 1855 to 2002. The intertemporal model presented here takes into account several sources of external shocks for small economies such as a change of the real interest rate and the real exchange rate. Evidence shows that the intertemporal model does not pass the statistical tests and does not explain the Argentinean experience. More specifically, if the Argentinean current account was to behave as the model predicts, one would observe the opposite movement to that observed for the actual current account. Our main conjecture about the weak performance of the model is related to i) the fact that one of its most important assumption is violated for some part of the period under consideration (1931-1989); and ii) that the balance of payments crises and stop and go cycles may have altered the relation between the variables suggested by the model. To cope with this problem, we have estimated a model for the period 1885-1930 (a period with relatively high capital mobility and with neither currency crises nor stop and go cycles) and found some evidence in favour of this result. A general conclusion to be drawn is that, in contrast to other Latin American countries, an intertemporal current account model can not appropriately account for the dynamics of the current account of Argentina, even thought there is some evidence in favour of the model for the period 1885-1930., Departamento de Economía