The aim of this study is to investigate the possible contagion risk coming from energy, food and metals commodity markets and to assess risk spillovers from biofuel to food commodity markets and from crude oil to food markets. To this purpose, we use the delta Conditional Value-at-Risk CoVaR)...

The present study aims at modelling market risk for four commodities, namely West Texas Intermediate (WTI) crude oil, natural gas, gold and corn for the period 2007-2017. To this purpose, we use Extreme Value Theory (EVT) together with a set of Conditional Auto-Regressive Logit (CARL) models to...

The aim of this study is to investigate the possible contagion risk coming from energy, food and metals commodity markets and to assess risk spillovers from biofuel to food commodity markets and from crude oil to food markets. To this purpose, we use the delta Conditional Value-at-Risk ΔCoVaR)...

The present study aims at modelling market risk for four commodities, namely West Texas Intermediate (WTI) crude oil, natural gas, gold and corn for the period 2007-2017. To this purpose, we use Extreme Value Theory (EVT) together with a set of Conditional Auto-Regressive Logit (CARL) models to...

The aim of this study is to investigate the possible contagion risk coming from energy, food and metals commodity markets and to assess risk spillovers from biofuel to food commodity markets and from crude oil to food markets. To this purpose, we use the delta Conditional Value-at-Risk CoVaR)...

In recent years, the international community has been increasing its efforts to reduce the human footprint on air pollution and global warming. Total CO2 emissions are a key component of global emissions, and as such, they are closely monitored by national and supranational entities. This study...

Fine wine and alcohol prices can be predicted, but the accuracy of the prediction depends on the chosen forecasting horizon. In our study, we analyse the fine wine indices, as well as the retail and wholesale alcohol prices in the US from January 1992 to March 2022. We use comprehensive datasets...