Showing 1 - 6 of 6
We consolidate alternative ways for identifying stable and stressful scenarios in the S&P 500 market to construct contagion tests for recipient markets vulnerable to disturbances from this source market. The S&P 500 is decomposed into discrete conditions of: (1) Tranquil versus turbulent...
Persistent link: https://www.econbiz.de/10012843432
A new procedure to trace the sources of contagion in the oil-finance nexus is proposed. We do this by consolidating veteran rules derived from the empirical oil literature to filter oil supply, global demand, and oil demand shocks into discrete typical and extreme conditions. We show how these...
Persistent link: https://www.econbiz.de/10012859610
We investigate the relationship between oil prices and stock markets of selected oil importers and oil exporters at the time of the COVID-19 pandemic. We provide evidence in favour of energy contagion, in term of significantly higher correlations between oil and stock markets returns during...
Persistent link: https://www.econbiz.de/10012831660
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
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