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The goal of our paper is to show how correlation between convenience yield and commodity spot price must be and can be integrated to valuate commodity derivatives. This incorporation can be done in addition to usual factors: market prices of risk (Casassus and Collin-Dufresne, 2005) and/or...
Persistent link: https://www.econbiz.de/10013103546
We use a structural VAR model to study the German natural gas market and investigate the impact of the 2022 Russian supply stop on the German economy. Combining conventional and narrative sign restrictions, we find that gas supply and demand shocks have large and persistent price effects, while...
Persistent link: https://www.econbiz.de/10014576948
We propose a structural vector-autoregressive model for the German natural gas market to investigate the impact of the 2022 Russian supply stop on the German economy. We combine conventional and narrative sign restrictions to leverage information about supply cuts for identification and find...
Persistent link: https://www.econbiz.de/10014560154
We use a structural VAR model to study the German natural gas market and investigate the impact of the 2022 Russian supply stop on the German economy. Combining conventional and narrative sign restrictions, we find that gas supply and demand shocks have large and persistent price effects, while...
Persistent link: https://www.econbiz.de/10014560234
Commodity-equity and cross-commodity return co-movements rose dramatically after the 2008 financial crisis. This development took place following what has been dubbed the 'financialization' of commodity markets. We first document changes since 2000 in the intensity of speculative activity in...
Persistent link: https://www.econbiz.de/10010201385
Persistent link: https://www.econbiz.de/10011475857
This study analyses oil price movements through the lens of an agnostic random forest model, which is based on 1,000 regression trees. It shows that this highly disciplined, yet flexible computational model reduces in-sample root mean square errors (RMSEs) by 65% relative to a standard linear...
Persistent link: https://www.econbiz.de/10013293295
This study analyses oil price movements through the lens of an agnostic random forest model, which is based on 1,000 regression trees. It shows that this highly disciplined, yet flexible computational model reduces in-sample root mean square errors (RMSEs) by 65% relative to a standard linear...
Persistent link: https://www.econbiz.de/10014243437
Persistent link: https://www.econbiz.de/10010371827
In this paper, we examine the forecasting ability of an affine term structure framework that jointly models the markets for Treasuries, inflation-protected securities, inflation derivatives, and oil future prices based on no-arbitrage restrictions across these markets. On the methodological...
Persistent link: https://www.econbiz.de/10011421729