Spurious Predictability in Financial Machine Learning

By Sotirios D. Nikolopoulos

Published 2026-04-16

Everscope rating

1752.8

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: Falsification Audit Framework with Selection-Induced Inflation Diagnostics. Problem types: Time Series Forecasting, Risk Management, Portfolio Optimization, Anomaly Detection, Causal Inference, Regression.

arXiv:2604.15531 · Paper rankings

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