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News
The log-signature-based time series Wasserstein generative adversarial network - Journal of Computational Finance
1+ week, 2+ day ago (239+ words) This paper puts forward a method using neural networks to minimize the Wasserstein distance between log signatures to reduce the target dimension of the... Journal of Computational Finance - We introduce the Log-Signature Wasserstein GAN, combining log-signature features with a learnable…...
Stock trend forecasting with graph neural networks - Journal of Risk
4+ mon, 2+ week ago (49+ words) Accurate stock trend forecasting is a central challenge in financial economics due to the highly nonlinear and interdependent nature of market dynamics. Traditional statistical and machine learning... - Accuracy (61.2%) and F1 (65.3%) outperform all machine learning baselines. - Temporal stock data is modeled as…...