Showing 1 - 5 of 5
We employ a unique hand-collected dataset and a novel methodology to examine systemic risk before and after the largest U.S. banking crisis of the 20th century. Our systemic risk measure captures both the credit risk of an individual bank as well as a bank’s position in the network. We...
Persistent link: https://www.econbiz.de/10012892160
This paper explores the effect of oil price fluctuations on the stock returns of U.S. oil firms using a strategy of identification through heteroskedasticity exploiting the 2020 oil crash. Results are twofold. First, we find that a decline in oil prices statistically significantly reduces stock...
Persistent link: https://www.econbiz.de/10014083040
We examine how financial crises redistribute risk, employing novel empirical methods and micro data from the largest financial crisis of the 20th century – the Great Depression. Using balance-sheet and systemic risk measures at the bank level, we build an econometric model with incidental...
Persistent link: https://www.econbiz.de/10014345560
This paper considers the problem of identification, estimation and inference in the case of spatial panel data models … errors. A quasi maximum likelihood (QML) estimation procedure is developed and the conditions for identification of spatial …
Persistent link: https://www.econbiz.de/10012890630
An important issue in the analysis of cross-sectional dependence which has received renewed interest in the past few years is the need for a better understanding of the extent and nature of such cross dependencies. In this paper we focus on measures of cross-sectional dependence and how such...
Persistent link: https://www.econbiz.de/10010280808