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HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information. (arXiv:2110.13716v2 [q-fin.ST] UPDATED)
Jan. 21, 2022, 2:11 a.m. | Wentao Xu, Weiqing Liu, Lewen Wang, Yingce Xia, Jiang Bian, Jian Yin, Tie-Yan Liu
cs.LG updates on arXiv.org arxiv.org
Stock trend forecasting, which forecasts stock prices' future trends, plays
an essential role in investment. The stocks in a market can share information
so that their stock prices are highly correlated. Several methods were recently
proposed to mine the shared information through stock concepts (e.g.,
technology, Internet Retail) extracted from the Web to improve the forecasting
results. However, previous work assumes the connections between stocks and
concepts are stationary, and neglects the dynamic relevance between stocks and
concepts, limiting the …
arxiv forecasting framework graph graph-based information mining
More from arxiv.org / cs.LG updates on arXiv.org
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