Significant fluctuations in the price of crude oil in recent years make accurate price
estimations of critical importance. A reliable method for crude oil price forecasting is …

To mitigate the impact of market uncertainty on trading investments, this paper proposes a
forecasting and investing framework for crude oil market by integrating interval models and …

In order to obtain better prediction results, this paper combines improved complete
ensemble EMD (ICEEMDAN) and the whale algorithm of multi-objective optimization …

The volatile and non-linear nature of stock market data, particularly in the post-pandemic
era, poses significant challenges for accurate financial forecasting. To address these …

Structural break detection is an important time series analysis task. It can be treated as a
multi-objective optimization problem, in which we ought to find a time series segmentation …

Crude oil price shocks have a significant impact on aggregate macroeconomic indices like
GDP, interest rates, investment, inflation, unemployment, and currency rates, according to …

Stock price trend prediction is the focus of academics and economists. Selecting appropriate
forecasting techniques can help investors to avoid potential financial risks in some extent …

The world economy is affected by fluctuations in the price of crude oil, making precise and
effective forecasting of crude oil prices essential. In this study, we propose a combined …

The oil market has long experienced price fluctuations driven by diverse factors. These shifts
in crude oil prices wield substantial influence over the costs of various goods and services …

Improved interval-valued prediction models for solar power and irradiance forecasting allow
enhanced planning and operation of solar power systems. Highly uncertain atmospheric …