Knowledge that Transforms

We employ a structural model endowed with a banking system in which assets of different qualities, occasionally binding credit restrictions, and regulatory requirements coexist, to analyze the effectiveness of various macroprudential policies that cope with the level of due loans in the economy. We analyze how policy designs influencing impairment recognition by banks affect output and welfare, both in the steady state and across business cycles driven by financial risk. The cost of managing due loans, credit constraints, dividend strategies, and the cure rate, are key components of the driveshaft propelling policies to outcomes. Our findings suggest that “less is more,” i.e. policies emphasizing greater leniency in impairment recognition outperform stricter approaches, when management costs are sufficiently low, especially when combined with high cure rates that enhance the benefits of delaying recognition. However, reducing penalties for banks that violate regulatory requirements proves largely ineffective and exacerbates incentives for non-compliance. The presence of binding credit constraints enhances the effectiveness of lenient impairment policies when management costs are low and diminishes it otherwise.

How do banks react to firms’ climate risks? Using almost 80,000 global syndicated loans originated from 2001 to 2021, we study bank lending to fossil fuel firms vis-à-vis other firms. We find that loans to fossil fuel firms are at least 7 % more costly compared to other firms, and even more so toward the end of our sample. However, loan amounts to fossil fuel firms are approximately 22 % larger, implying heavy financing of brown activities. We show that the pricing effects are even stronger for banks with higher reliance on ESG considerations, consistent with the shifts driven by the supply side (bank behaviour). Overall, our findings corroborate the view that banks price in climate risks but continue to heavily lend to polluting firms in the medium term (with an average maturity of four and one quarter years).

Despite the rising number of green finance policies, the socioeconomic determinants shaping them remain largely unexamined. Drawing from the literature analysing the relationship between regulation, market development and institutional economics , we contend that green finance policy adoption is driven by both market-based and institutional factors. Using a survival analysis approach to understand the levers influencing green finance policy adoption across 188 countries from 2000 to 2019, we find that exposure to the fossil fuel industry predominantly drives the initial issuance of green finance policies. The positive effect of fossil fuel commercial financing on the adoption of green finance policies exists in countries with high and medium climate change awareness levels. Meanwhile, in countries with a low climate change awareness level, fossil fuel government subsidies drive green finance policy adoption. Our study also highlights the role of the financial industry as one of the key actors in the policy cycle of green finance policies via two pathways: (i) affecting financial stability through financing oil and gas companies on primary financial markets and (ii) developing a market for sustainable finance products.

This paper examines the return spillovers between Exchange-Traded Funds (ETFs) and stocks. While traditional approaches focus on proportional relationships between ETFs and their underlying assets, we develop a high-dimensional network framework that captures spillover effects between any ETF-stock pair, regardless of their compositional relationship. By separating idiosyncratic and systematic risks, we investigate potential drivers of contagion. We document substantial heterogeneity in spillover patterns across sectors, which is previously unaddressed in the literature. Sectors such as Utilities and Real Estate exhibit robust spillovers to both their component stocks and assets in other sectors. Conversely, in sectors such as Consumer Discretionary and Finance , cross-sector influences dominate intra-sector ETF-constituent linkages. Our results also highlight that during periods of high market volatility, sources of idiosyncratic contagion become more diverse, suggesting the need for broader market surveillance beyond the few most influential ETFs.

Using VAR and Local Projections models, enhanced with macroeconomic factors and monetary policy shocks, we investigate the underlying mechanisms through which the Fed’s and ECB’s react to bank reactions of geopolitical risks between January 1994 and March 2024. Our findings reveal that central banks react to geopolitical risk events by tightening monetary policy to fend off potential inflationary pressures. However, the effect is often temporary, as policymakers typically adopt accommodative measures during economic expansions and shift to tighter policies during contractions. Analyzing reactions based on central bank presidents' tenures, we find that while earlier responses were limited, in recent years, both central banks have reacted more strongly and immediately, reflecting their growing concern over geopolitical risks. Furthermore, we document that the Fed adopted a more accommodative stance in response to bilateral geopolitical risk shocks between the US and China, driven by changes in capital flows and trade activities. In contrast, the ECB’s responses were more consistently contractionary, particularly in periods of heightened inflation concerns or when geopolitical tensions threatened price stability within the euro area.

We study how regulation shapes the interaction between financial fragility and bank liquidity management, and propose a rationale for the complementarity between bank recovery and resolution planning. To this end, we analyze an economy in which a resolution authority arranges a bank resolution plan to suspend deposit withdrawals and create a “good bank” at a cost in the event of a depositors’ run. In such a framework, banks find it optimal to establish recovery plans in advance, specifying how to manage liquidity during runs. However, such plans are time inconsistent, and resolution authorities need powers to force their implementation at times of financial fragility .

This study examines the effects of environmental, social, and governance (ESG) performance on bond return volatility. After controlling for bond characteristics and firm fundamentals, we find a robust positive relationship between ESG performance and bond return volatility. The empirical results demonstrate that the impact on bond return volatility is primarily driven by ESG strengths rather than concerns. The results are robust to alternative measures, sample periods, and endogeneity controls. Furthermore, the effect of ESG performance is more pronounced for firms with opportunistic managers and poor information environments.

In this study, we consider for the first time whether and how stock liquidity impacts corporate climate performance in China. We find that an increase in stock liquidity is highly associated with lower carbon emissions. To address endogeneity concerns, we exploit a unique quasi-natural experiment in China— the stock market liberalization (Shanghai-Shenzhen Hong Kong Stock Connect). Using difference-in-differences (DID) estimations, we find that carbon emissions for treatment firms substantially decrease after the stock market liberalization. The impact of stock liquidity is more pronounced for enterprises facing severe financial constraints, greater equity dependence, and operating in pollution-intensive sectors. Similarly, we find that external monitoring, carbon abatement investment, and green innovation are plausible channels through which stock liquidity drives carbon emissions reduction. We further find that the sensitivity of corporate climate performance to improved stock liquidity becomes stronger following the Paris Agreement. Overall, we uncover new evidence on the impact of stock liquidity on corporate climate performance, expanding our understanding of the role of financial markets towards a greener economy.

We exploit exogenous shocks to institutional investors’ portfolios to show that managers engage in significantly more stakeholder-related misconduct when institutional investors are distracted. Additional cross-sectional tests reveal that managerial career concerns and risk-taking equity incentives strongly moderate this relationship, suggesting that managers weigh the potential benefits and risks before engaging in misconduct during these periods. Finally, we provide evidence that the results are more pronounced when especially those institutional investors who are likely to be motivated monitors of the managers become distracted.

The rapid adoption of artificial intelligence (AI) poses new and poorly understood threats to financial stability. We use a game-theoretic model to analyse the stability impact of AI, finding that it amplifies existing financial system vulnerabilities — leverage, liquidity stress and opacity — through superior information processing, common data, speed and strategic complementarities. The consequence is crises become faster and more severe, where the likelihood of a crisis is directly affected by how effectively the authorities engage with AI. In response, we propose that the financial authorities develop their own AI systems and expertise, establish direct AI-to-AI communication, implement automated crisis facilities and monitor AI use.