Identifying and Quantifying Financial Bubbles with the Hyped Log-Periodic Power Law Model

By Zheng Cao, Xingran Shao, Yuheng Yan, Helyette Geman

Published 2025-10-13

Everscope rating

1702.9

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: Hyped Log-Periodic Power Law Model (HLPPL). Problem types: Time Series Forecasting, Anomaly Detection, Natural Language Processing, Risk Management, Portfolio Optimization, Regression.

arXiv:2510.10878 · Paper rankings

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