We study the impact of higher capital requirements on banks' decisions to grant collateralized rather than uncollateralized loans. We exploit the 2011 EBA capital exercise, a quasi-natural experiment that required a number of banks to increase their regulatory capital but not others. This...

We demonstrate how the introduction of liability-side feedbacks affects the properties of a quantitative model of systemic risk. The model is known as RAMSI and is still in its development phase. It is based on detailed balance sheets for UK banks and encompasses macro-credit risk, interest and...

The idea of separating retail and investment banking remains controversial. Exploiting the introduction of UK ring-fencing requirements in 2019, we document novel implications of such separation for credit and liquidity supply, competition, and risk-taking via a funding structure channel. By...

We investigate the impact that the publication of the Bank of England's Financial Stability Report (FSR) has on the stock returns and credit default swap spreads of UK financial institutions. Examining a sample of 73 UK-listed banks and other financial institutions, we find that publication of...

Market participants have argued that a significant unintended consequence of post-crisis regulatory leverage ratio requirements has been a reduction in the liquidity of fixed income markets. We assess this claim in the context of the gilt (UK government bond) and gilt repo markets. We find that...

Using quarterly data on FAS 157 fair value disclosures for US bank holding companies from 2008 to 2013, we test whether capital ratios and the effects of market discipline differ according to extent and nature of assets recognized under Level 3 standards. These standards offer management...

Using quarterly data on FAS 157 fair value disclosures for US bank holding companies from 2008 to 2013, we test whether capital ratios and the effects of market discipline differ according to extent and nature of assets recognized under Level 3 standards. These standards offer management...

There is evidence that machine learning (ML) can improve the screening of risky borrowers, but the empirical literature gives diverse answers as to the impact of ML on credit markets. We provide a model in which traditional banks compete with fintech (innovative) banks that screen borrowers...

The endogenous evolution of liquidity risk is a key driver of financial crises. This paper models liquidity feedbacks in a quantitative model of systemic risk. The model incorporates a number of channels important in the current financial crisis. As banks lose access to longer-term funding...

Banks' liquidity is a crucial determinant of the adversity of banking crises. In this paper, we consider the effect of fire sales and entry during crises on banks' ex-ante choice of liquid asset holdings. We consider a setting with limited pledgeability of risky cash flows relative to safe ones...