2 citations · 7 across the 7 of their papers we have counts for
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q-fin.ST2024★ 1 cited
RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction
Jingyi Gu, Wenlu Du, Guiling Wang
Efforts to predict stock market outcomes have yielded limited success due to the inherently stochastic nature of the market, influenced by numerous unpredictable factors. Many exis…
q-fin.ST2023★ 1 cited
Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network
Jingyi Gu, Fadi P. Deek, Guiling Wang
Predicting the Stock movement attracts much attention from both industry and academia. Despite such significant efforts, the results remain unsatisfactory due to the inherently com…