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Kelvin J. L. Koa

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#artificial intelligence Preprint Sep 2026

Self-Evolving Multi-Agent Symbolic Discovery for Financial Fundamental Analysis

While symbolic regression (SR) has been successfully used in science to discover new equations, its use in financial valuation is hindered by several limitations. Whereas the natural sciences provide objectively correct relationships, financial valuation constitutes a distinct class of symbolic discovery problems, as i...

Kelvin J. L. Koa, Filip Orestav, Sheng-Qiong Wu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

AnalysisBank: An Expert Analysis Pattern Library for Financial Report Generation

AnalysisBank is proposed, which distills expert reports into a reusable library of Analyses, each pairing a data signal, an analytical move, and the expert span it was derived from, to operate at the analytical rather than structural level of financial report generation.

Ya-Jing Yang, Yunshan Ma, Kelvin J. L. Koa et al. · 0 citations
#artificial intelligence Preprint Aug 2026

SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting

SPACE is proposed, a conformal wrapper for sample-generating multivariate forecasters that consistently brings realized joint and rolling coverage closer to the nominal target, achieving superior coverage-efficiency tradeoffs relative to competing wrappers.

Baishi Li, Kelvin J. L. Koa, Ke-Wei Huang · 0 citations

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