This paper finds non-interest income to be positively correlated with total systemic risk for a large sample of U.S. banks. Decomposing total systemic risk into three components, we find that non-interest income has a positive relationship with a bank's tail risk, a positive relationship with a...

We propose a simple network–based methodology for ranking systemically important financial institutions. We view the risks of firms –including both the financial sector and the real economy– as a network with nodes representing the volatility shocks. The metric for the connections of the...

Since increasing a bank's capital requirement to improve the stability of the financial system imposes costs upon the bank, a regulator should ideally be able to prove beyond a reasonable doubt that banks classified as systemically risky really do create systemic risk before subjecting them to...

We estimate the contribution of large U.S, banks to the financial sector systemic risk by using value-at-risk (VaR ), conditional value-at-risk (CoV aR ), and two-stage least square (2SLS) methodology, Our sample is the monthly stock returns of 25 large U.S, banks from 1997 to 2021, We find that...

We empirically examine financial institutions' motivations to take systematic bad-tail risk in the form of sponsorship of credit-arbitrage asset-backed commercial paper vehicles. A run on debt issued by such vehicles played a key role in causing and propagating the liquidity crisis that began in...

We propose a simple network–based methodology for ranking systemically important financial institutions. We view the risks of firms –including both the financial sector and the real economy– as a network with nodes representing the volatility shocks. The metric for the connections of the...

We propose a simple network–based methodology for ranking systemically important financial institutions. We view the risks of firms –including both the financial sector and the real economy– as a network with nodes representing the volatility shocks. The metric for the connections of the...

We propose a simple network–based methodology for ranking systemically important financial institutions. We view the risks of firms –including both the financial sector and the real economy– as a network with nodes representing the volatility shocks. The metric for the connections of the...

We construct a new systemic risk measure that quantifies vulnerability to fire-sale spillovers using detailed regulatory balance sheet data for U.S. commercial banks and repo market data for broker-dealers. Even for moderate shocks in normal times, fire-sale externalities can be substantial. For...