most citedStock Volatility Prediction Based on Transformer Model Using Mixed-Frequency Data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2024

Showing Many Labels in Multi-label Classification Models: An Empirical Study of Adversarial Examples

Yujiang Liu, Wenjian Luo, Zhijian Chen +1

With the rapid development of Deep Neural Networks (DNNs), they have been applied in numerous fields. However, research indicates that DNNs are susceptible to adversarial examples,…

q-fin.ST2023★ 1 cited

Stock Volatility Prediction Based on Transformer Model Using Mixed-Frequency Data

Wenting Liu, Zhaozhong Gui, Guilin Jiang +5

With the increasing volume of high-frequency data in the information age, both challenges and opportunities arise in the prediction of stock volatility. On one hand, the outcome of…