4 papers
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
Jun Han, Shuo Zhang, Wei Li +14
Financial markets are noisy and non-stationary, making alpha mining highly sensitive to backtest noise and regime shifts. While recent agentic frameworks improve automation, they o…
Expected Shortfall Panel Regression
Yujie Hou, Xinbing Kong, Yalin Wang +1
Expected Shortfall (ES) is a coherent measure of tail risk that captures the average loss beyond a quantile threshold. Despite the growing literature on ES regression conditional o…
Tucker Diffusion Model for High-dimensional Tensor Generation
Jianhua Guo, Xinbing Kong, Zeyu Li +1
Statistical inference on large-dimensional tensor data has been extensively studied in the literature and widely used in economics, biology, machine learning, and other fields, but…
High-Dimensional Binary Variates: Maximum Likelihood Estimation with Nonstationary Covariates and Factors
Xinbing Kong, Bin Wu, Wuyi Ye
This paper introduces a high-dimensional binary variate model that accommodates nonstationary covariates and factors, and studies their asymptotic theory. This framework encompasse…