The March 2023 banking turmoil has intensified discussions whether social media and the digitalisation of finance have become significant factors in driving severe deposit outflows. We introduce the concept of deposits-at-risk and utilize quantile regressions for disentangling determinants of stressed outflows at the lowest tail of the distribution.
Traditional exposure measures focus on direct exposures to evaluate the losses an institution is exposed to upon the default of a counterparty. Since the Global Financial Crisis of 2007-2008, the importance of indirect exposures via common asset holdings is increasingly recognized. Yet direct and indirect exposures do not to capture the losses that result from shock propagation and amplification following the counterparty's default. In this paper, we introduce the concept of \higher-order exposures" to refer to these spill-over losses and propose a way to formalize and quantify these.
Rehim KilicThis paper fills an important gap in the volatility forecasting literature by comparing a broad suite of machine learning (ML) methods with both linear and nonlinear econometric models using high-frequency realized volatility (RV) data for the S&P 500. We evaluate ARFIMA, HAR, regime-switching HAR models (THAR, STHAR, MSHAR), and ML methods including Extreme Gradient Boosting, deep feed-forward neural networks, and recurrent networks (BRNN, LSTM, LSTM-A, GRU).
The Bank of England’s Monetary Policy Committee is responsible for making decisions about Bank Rate.
Add full abstract text in one paragraph.This paper examines how the ECB’s 2022–2023 interest-rate hikes affected euro-area banks’ economic net worth and vulnerability to deposit runs. Drawing on granular, confidential data for 139 banks, we estimate each bank’s economic net worth and find that unrealised losses on loans and bonds averaged around 30 per cent of equity. By September 2023, however, roughly half of these losses had been offset by gains from the deposit franchise and interest-rate swaps.
How does environmental, social and governance regulation of banks affect capital provision to the sustainability transition? As ambitious sustainability targets face funding challenges, the financial sector is tasked with channeling more private capital into sustainable investments. However, scaling sustainable technologies often requires investment in non-ESG-compliant assets. The mobility transition to electric vehicles, for example, demands increased supply of battery raw materials like Lithium, Cobalt, Manganese, and Nickel.
The Bank's Court of Directors acts as a unitary board, setting the organisation's strategy and budget and taking key decisions on resourcing and appointments. Required to meet a minimum seven times per year, it has five executive members from the Bank and up to nine non-executive members.
Do climate stress tests affect bank credit supply to brown firms? Using a difference-in-differences approach and detailed data on individual bank loans in the euro area, this paper provides novel evidence on the effects of the ECB’s 2022 climate risk stress test. Despite no capital implications or public disclosures, participating banks significantly reduced credit to greenhouse gas-intensive industries relative to nonparticipants. Among affected firms, smaller borrowers were more negatively impacted.
Using a novel worldwide dataset of 5,264 syndicated loans issued to 329 firms from 2006 to 2021, we study how climate-related litigation risk affects firm’s cost of borrowing. We find robust empirical evidence that firms targeted by climate lawsuits pay significantly higher spreads on their bank loans. These effects are more pronounced for firms with weaker environmental performance and higher ESG controversies. The results suggest that lender’s view climate litigation as a material risk factor, which is increasingly priced into debt contracts.
We introduce an estimated medium scale Heterogeneous-Agent New Keynesian model for forecasting and policy analysis in the Euro Area and discuss the applications of this type of models in central banks, focusing on two main exercises. First, we examine an alternative scenario for monetary policy during the early 2020s inflationary episode, showing that earlier hikes in interest rates would have affected more strongly households at the lower end of the wealth distribution, whose consumption our model suggests was already depressed relative to the rest of the population.
