Robust information share measures with an application on the international crude oil markets

Li, Hong; Shi, Yanlin

doi:10.1002/fut.22292

Cited by 1 publication

(1 citation statement)

References 51 publications

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“…These assets are chosen for the following reasons. First, Brent crude oil is widely used in oil market research (Chen et al, 2019; Ji et al, 2018; Li & Shi, 2022). As the Brent crude oil exchange is based in European Union (EU), it may be much more closely linked to the carbon market.…”

Section: Datamentioning

confidence: 99%

Climate change attention and carbon futures return prediction

Gong

Guan

et al. 2023

Journal of Futures Markets

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This study explores the predictive effect of climate change attention on carbon futures returns. Using climate‐related Google Trends and news, we construct five dimensions of the public climate attention index and media climate attention index. After feature selection, we incorporate the optimized combination with lagged order into the machine learning model to predict EU Emission Allowance futures returns. Our empirical results show that the forecasting models with climate attention outperform the corresponding benchmark models, indicating that climate attention does provide predictive information for carbon futures returns. In addition, we carry out trading simulations to investigate the economic performance of the forecast results. It turns out that the market strategies based on the prediction models with climate attention can deliver more benefits than the counterpart market strategies. More specifically, the cumulative returns reach 140% during the out‐of‐sample period, much higher than 79% of the cumulative returns of the buy‐and‐hold strategy.

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Section: Datamentioning

confidence: 99%