Financial statement fraud (FSF) poses severe threats to investor confidence and capital market stability, yet most existing detection models rely solely on a single modality, such as either financial ratios extracted from tables or textual disclosures in management discussion. Such single-view models fail to capture th...
Jia-Wen Li, Zuo-Cheng Hu, Ming Qiang et al.· 2026 6th International Confe...· 0 citations
Direct linear regression prediction of index returns has long been recognized as a challenging task in industry time-series timing research. Constrained by the extremely low signal-to-noise ratio and pervasive nonlinear characteristics of financial data, ordinary least squares (OLS) regression suffers from poor out-of...
Wei-Jian Huang, Yuanqi Huang, Xianpeng Jiang· Journal of the European Acad...· 0 citations
There is a significant disconnect between model prediction accuracy and actual net returns; marginal improvements in prediction brought by complex models cannot offset profit losses caused by transaction frictions in high-frequency trading.
Wei-Jian Huang, Zhanwei Wang, Wenchang Jiang· Journal of the European Acad...· 0 citations
The empirical results verify that the core bottleneck of high-frequency quantitative trading is not model prediction accuracy but the cost adaptation mechanism of signal transformation, and a simple and efficient transaction cost filtering strategy is far more valuable than blindly iterating complex time-series models.
Wei-Jian Huang, Zhanwei Wang, Xianpeng Jiang· Journal of the European Acad...· 0 citations
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