Textual analysis and gold futures price forecasting: Evidence from the Chinese market

Yanchu Liu, Yu Zhang and Xinyi Peng

Finance Research Letters, 2024, vol. 69, issue PA

Abstract: This paper examines the predictive capacity of online news on the gold futures prices. The empirical results derived from the Chinese market demonstrate that the textual features extracted through natural language processing techniques contain complementary predictive content for gold futures prices, which enhance the 1-day ahead prediction accuracy across different machine learning methods and train-test sets.

Keywords: Gold futures price forecasting; Textual feature; Machine learning (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:69:y:2024:i:pa:s1544612324011450

DOI: 10.1016/j.frl.2024.106116

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