We analyse the drivers of European Power Exchange (EPEX) wholesale electricity prices between 2012 and early 2022 using machine learning. The agnostic random forest approach that we use is able to reduce in-sample root mean square errors (RMSEs) by around 50% when compared to a standard linear...

In this paper we investigate the time-varying relationship between oil and natural gas in the UK. We develop a model where relative prices can move between pricing-regimes; markets switch between being decoupled and integrated. Our model endogenously accounts for periods where oil and natural...

When natural gas prices are subject to periodic decoupling from oil prices, for instance due to peak-load pricing, conventional linear models of price dynamics such as the Vector Error Correction Model (VECM) can lead to erroneous inferences about cointegration relationships, price adjustments...

Oil and gas company returns are compared between upstream, midstream, and down-stream sectors from 2000 through 2020. Crude oil, natural gas, and distillate returns reflect project risk, infrastructure, and conditions within the industry. Equity, commodity, and distillate markets positively...

The movement to deregulate major industries over the past 40 years has produced large efficiency gains. However, distributional effects have been more difficult to assess. In the electricity sector, deregulation has vastly increased information available to market participants through the...

To reduce funds for Russia's Ukraine invasion, Western governments imposed a price ceiling on Russian seaborne oil exports using Western services. To sell above that ceiling, Russia developed a "shadow fleet" which uses no such services. We use a calibrated model driven by this fleet's expansion...

This paper analyses the informational efficiency of the WTI crude oil markets using a recently proposed quantitative measure for market inefficiency. The procedure measures the extent to which observed oil price behaviour deviates from the Random Walk benchmark which represents an efficient...

This paper investigates the informational efficiency of global crude oil markets using a recently introduced quantitative measure for market inefficiency. The methodology assesses the deviation of observed oil price behavior from the Random Walk benchmark, representing an efficient market. The...

This paper investigates the informational efficiency of green bond markets using a recently introduced quantitative measure for market inefficiency. The methodology assesses the deviation of observed asset price behavior from the Random Walk benchmark, which represents an efficient market. The...

We employ a structural VAR model with global and US variables to study the relevance and transmission of oil, food commodities, and industrial input price shocks. We show that commodities are not all alike. Industrial input price changes are almost entirely endogenous responses to other shocks....