---
title: Time Series Stationarity Testing
url: https://www.ml-quant.com/papers/ssrn/5287311/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 5287311
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5287311
featured: 2025-06-11
citations: unknown
topic: Econometrics & Forecasting
---


# Time Series Stationarity Testing

The article emphasizes the importance of the DickeyFuller Test and Augmented DickeyFuller ADF Test in confirming time series stationarity, crucial in actuarial science, quantitative finance, and machine learning.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5287311
- Identifier: SSRN 5287311
- Released: 2025-06-10
- First featured: Quant Letter No. 101 (2025-06-11): https://www.ml-quant.com/issues/2025-06-11/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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