Stock prediction using gaussian process regression

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Forecasting wholesale prices of yellow corn through the Gaussian process regression

B **, X Xu - Neural Computing and Applications, 2024 - Springer
For market players and policy officials, commodity price forecasts are crucial problems that
are challenging to address due to the complexity of price time series. Given its strategic …
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Predictions of steel price indices through machine learning for the regional northeast Chinese market

B **, X Xu - Neural Computing and Applications, 2024 - Springer
Projections of commodity prices have long been a significant source of dependence for
investors and the government. This study investigates the challenging topic of forecasting …
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Machine learning predictions of regional steel price indices for east China

B **, X Xu - Ironmaking & Steelmaking, 2024 - journals.sagepub.com
From 1 January 2010 to 15 April 2021, this study examines the challenging task of daily
regional steel price index forecasting in the east Chinese market. We train our models using …
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Price forecasts of ten steel products using Gaussian process regressions

X Xu, Y Zhang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Addressing price forecasting problems is an important exercise to policymakers and market
participants in the resource business sector. In this work, we build Gaussian process …
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Forecasts of thermal coal prices through gaussian process regressions

B **, X Xu - Ironmaking & Steelmaking, 2024 - journals.sagepub.com
Given thermal coal's significance as a tactical energy source, price projections for the
commodity are crucial for investors and decision-makers alike. The goal of the current work …
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Palladium price predictions via machine learning

B **, X Xu - Materials Circular Economy, 2024 - Springer
Predictions of prices for a wide variety of commodities have been relied upon by
governments and investors over the course of history. The purpose of this study is to …
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Machine learning price index forecasts of flat steel products

B **, X Xu - Mineral Economics, 2024 - Springer
Investors and authorities have always placed a high emphasis on commodity price
forecasting. In this study, the issue of daily price index forecasting for flat steel products on …
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Office real estate price index forecasts through Gaussian process regressions for ten major Chinese cities

B **, X Xu - Advances in Computational Intelligence, 2024 - Springer
During the last decade, the Chinese housing market has seen fast expansion, and the
importance of housing price forecasts has surely increased, becoming an essential problem …
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Machine learning-based forecasts of residential property prices in Hangzhou City, Zhejiang Province, China

B **, X Xu - Neural Computing and Applications, 2024 - Springer
The Chinese real estate market has grown at such a quick rate over the last few decades, up
to the current falling patterns that began at the end of 2021. This difficulty has made it more …
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Predicting open interest in thermal coal futures using machine learning

B **, X Xu - Mineral Economics, 2024 - Springer
In this study, our objective is to tackle the open interest prediction problem by centering on
the thermal coal futures traded on the Chinese Zhengzhou Commodity Exchange, using …
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