We analyze financial support for the entrepreneurial sector. State support can raise welfare by relaxing financial constraints, but it can also reduce lending standards if entrepreneurs substitute public sources of collateral for their own assets, if it encourages excessive entrepreneurial entry, or if it undermines bank monitoring incentives. We derive a “pecking order” for support schemes: support funds should be channeled first to credit guarantee schemes and then, when entrepreneurs start to substitute public for private collateral, to co-funding entrepreneurial projects. The optimal level of credit guarantee is diminishing in the costs of incentivising bank monitoring. We show in an extension that the long-term effect of public subsidies may be to impair the private sector’s initiative to uncover cost savings.

We study whether central bank independence (CBI) and monetary policy arrangements can jointly influence the likelihood of policymakers assigning banking supervision to central banks. Our empirical analysis shows that, assuming a benevolent government, a higher degree of central bank operational (economic) independence is associated with a lower probability of supervisory powers being entrusted to the monetary authority. We interpret this result as deriving from governments’ fear of the risk of excessively discretionary monetary policy. However, there is evidence that – conditional on operational independence – central banks are more involved in supervision when they pursue tighter monetary policy goals (a specific aspect of political independence). Our interpretation is that the latter may represent a commitment to mitigate central banks’ discretion in the monetization of financial distress. Our study suggests that CBI can be relevant, not only for its alleged effects on macroeconomic variables, but also in influencing policymakers’ decisions on the allocation of banking supervisory powers.

We construct a measure of systemic vulnerability in selected EU banking systems using an indirect, time-varying measure of the system covariance. Systemic vulnerability indicates the extent to which a banking system as a whole is sensitive to a negative shock. We proceed to examine to what extent the resulting measures of systemic vulnerability provide a convincing narrative of events during the period January 2000 to April 2016. The results provide evidence of: (i) rising vulnerability prior to the outbreak of the international financial crisis in 2007/08 in countries with banks exposed to toxic assets; (ii) vulnerability associated with the euro area sovereign debt crisis from 2009/10; and (iii) continued concerns from 2013 onwards regarding the need for euro area banks to improve their balance sheets and raise new capital at a time of sluggish profitability.

We quantify the linkages among banks’ equity performance and indicators of sovereign stress by using panel GMM to estimate a three-equation system that examines the impact of sovereign stress, as reflected in both sovereign spreads and sovereign ratings, on bank share prices. We use data for a panel of five euro-area stressed countries. Our findings indicate that a recursive relationship between sovereigns and banks operated during the euro-area crisis. Specifically, for the five crisis countries considered shocks to sovereign spreads fed-through to sovereign ratings, which affected commercial banks’ equity-prices. Our results also point to the importance of using levels of equity prices – rather than rates of return – in measuring banks’ performance. The use of levels allows us to derive the determinants of long-run equity prices.

Most discussions of the Greek debt overhang have focussed on the implications for Greece. We show that when additional funds released to the debtor (Greece), via debt restructuring, are used efficiently in pursuit of a practicable business plan, then both debtor and creditor can benefit. We examine a dynamic two country model calibrated to Greek and German economies and support two-steady states, one with endogenous default and one without, depending on creditors’ expectations. In the default steady state, debt forgiveness lowers the volatility of both German and Greek consumption whereas demanding higher recovery rates has the opposite effect. In a second order approximation of the model, conditional welfare analysis shows that a policy of immediate leniency followed by harsher terms as the economy grows is beneficial to both creditors and debtors.

We provide both a theoretical framework and empirical results for the relationship between CO2 emissions and systemic risk in the U.S. Based on a modified structural distance-to-default model that integrates physical risk effects, a theoretical framework is developed, documenting a positive link between CO2 emissions and systemic risk. Network VAR analysis, Diebold and Yilmaz variance decomposition, and conditional Granger causality provide empirical support for this positive link. Bank assets are found to be negatively related to CO2 emissions, which indicates an adjustment of the banking sector’s assets towards a lower-carbon economy. Policy implications include government-sponsored insurance support for banks facing insured losses.

This paper addresses three questions: (1) How severe were the episodes of banking instability experienced by the UK over the past two centuries? (2) What have been the macroeconomic indicators of UK banking instability? and (3) What have been the consequences of UK banking instability for the cost of credit? Using a unique dataset of bank share prices from 1830 to 2010 to assess the stability of the UK banking system, we find that banking instability has grown more severe since the 1970s. We also find that interest rates, inflation, lending growth, and equity prices are consistent macroeconomic indicators of UK banking instability over the long run. Furthermore, utilising a unique dataset of corporate-bond yields for the period 1860 to 2010, we find that there is a significant long-run relationship between banking instability and the credit-risk premium faced by businesses.

We study an equilibrium risk and return model to explore the effects of the coronavirus crisis and associated skewness on the market price of risk. We derive the moment and equilibrium equations, specifying skewness price of risk as an additive component of the effect of variance on mean expected return. We estimate our model using the flexible skewed generalized error distribution, for which we derive the distribution of returns and the likelihood function. Using S&P 500 Index returns from January 1980 to mid-October 2020, our results show that the coronavirus crisis generated a deeply negative reaction in the skewness and total market price of risk, more negative even than the subprime and the October 1987 crises.

Economic policy uncertainty affects decisions of households, businesses, policy makers and financial intermediaries. We first examine the impact of economic policy uncertainty on aggregate bank credit growth. Then we analyze commercial bank entity level data to gauge the effects of policy uncertainty on financial intermediaries’ lending. We exploit the cross-sectional heterogeneity to back out indirect evidence of its effects on businesses and households. We ask (i) whether, conditional on standard macroeconomic controls, economic policy uncertainty affected bank level credit growth, and (ii) whether there is variation in the impact related to banks’ balance sheet conditions; that is, whether the effects are attributable to loan demand or, if impact varies with bank level financial constraints, loan supply. We find that policy uncertainty has a significant negative effect on bank credit growth. Since this impact varies meaningfully with some bank characteristics – particularly the overall capital-to-assets ratio and bank asset liquidity-loan supply factors at least partially (and significantly) help determine the influence of policy uncertainty. Because other studies have found important macroeconomic effects of bank lending growth on the macroeconomy, our findings are consistent with the possibility that high economic policy uncertainty may have slowed the U.S. economic recovery from the Great Recession by restraining overall credit growth through the bank lending channel.

Do climate-oriented regulatory policies affect the flow of credit towards polluting firms? We match loan-level data to firm-level greenhouse gas emissions to assess the impact of the Paris Agreement. We find that, following this agreement, European banks reallocated credit away from polluting firms in relative terms. Specifically, euro area banks’ loan share to more polluting firms decreased by about 3percentage points compared to less polluting (or “green”) firms after the 2015 Paris Agreement (COP21). This result is stronger for banks that are well capitalized, have lower credit quality, and are less profitable.