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In this work, we propose an analysis of the global market for crude oil based on a revised version of the Structural Vector Autoregressive (SVAR) model introduced by Kilian and Murphy (2014). On this respect, we replace the global proxy for above-ground crude oil inventories with the oil...
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This paper provides an analysis of the link between the global market for crude oil and oil futures risk premium at the aggregate level. It off ers empirical evidence on whether the compensation for risk required by the speculators depends on the type of the structural shock of interest....
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We present a weekly structural Vector Autoregressive (VAR) model of the US crude oil market. Exploiting weekly data we can explain short-run crude oil price dynamics, including those related with the COVID-19 pandemic and with the Russia's invasion of Ukraine. The model is set identified with a...
Persistent link: https://www.econbiz.de/10013254444
-, three-, six-, and twelve-month futures prices, using recently developed multivariate conditional volatility models. The … shocks have a greater impact on volatility than positive shocks. In all cases, both the short- and long-run persistence of …
Persistent link: https://www.econbiz.de/10011602832
This paper uses a panel Threshold VAR model to estimate the regime-dependent impact of oil shocks on stock prices. We find that an adverse oil supply shock has a negative effect on stock prices when oil inflation is low. In contrast, this impact is negligible in the regime characterised by...
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