We exploit the information content of option prices to construct a novel measure of bank tail-risk. We document a persistent increase in tail-risk for the U.S. banking industry following the global financial crisis, except for banks designated as systemically important by the Dodd-Frank Act. We...

We use tools of extreme value theory to extract information about rare events from market prices. We find that such information contributes materially to measures of banks' systemic importance. These measures exhibit strong and intuitive relationships with simple characteristics of banks'...

This paper exploits the information content of option markets to offer fresh insight into the Too-Big-to-Fail (TBTF) problem for banks. I employ option prices to construct a forward-looking measure of bank exposure to significant price drops (i.e. tail-risk) and explore cross-sectional...

The interdependence, dynamics and riskiness of financial institutions are the key features frequently tackled in financial econometrics. We propose a Tail Event driven Network Quantile Regression (TENQR) model which addresses these three aspects. More precisely, our framework captures the risk...

This article contributes to the quantification of systemic risk within the Moroccan banking system, focusing on listed banks. We utilize indicators derived from Tail Value at Risk and expectiles risk measures, as introduced by El qalli and Said (2013) (El Qalli & Said, 2023), to measure the...

A flexible framework for the analysis of tail events is proposed. The framework contains tail moment measures that allow for Expected Shortfall (ES) estimation. Connecting the implied tail thickness of a family of distributions with the quantile and expectile estimation, a platform for risk...

There are few things more constant in life than the rise and fall of financial markets. When markets crash, however, we are forced to restore them while learning from our mistakes. In the wake of the recent subprime mortgage crisis, Congress has drastically but deservedly overhauled the...

The use of computers to execute trades, often with very low latency, has increased over time, resulting in a variety of computer algorithms executing electronically targeted trading strategies at high speed. We describe the evolution of increasingly fast automated trading over the past decade...

This study explores the integration of the markets for NYSE-listed stocks. Although the NYSE bid or offer is part of the best displayed intermarket quote roughly ninety percent of the time, there is some evidence that non-NYSE markets do on occasion contribute to price discovery. Actual...