---
title: Testing for Stationarity of Volatility Curves
url: https://www.ml-quant.com/papers/ssrn/4516345/
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 4516345
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4516345
featured: 2023-07-26
citations: 2
topic: Derivatives & Volatility
---


# Testing for Stationarity of Volatility Curves

The paper introduces a test for stability of hidden volatility curves over time using high-frequency financial data, revealing nonstationary variation in intraday volatility pattern over time in SP 500 futures data.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4516345
- Identifier: SSRN 4516345
- Released: 2023-07-20
- First featured: Quant Letter No. 9 (2023-07-26): https://www.ml-quant.com/issues/2023-07-26/
- Citations (Semantic Scholar): 2
- Published in: not yet
- Topic: Derivatives & Volatility

## Related

- [Prediction of linear fractional stable motions using codifference, with application to non-Gaussian rough volatility](https://www.ml-quant.com/papers/arxiv/2507.15437/): A new method for predicting future changes in linear fractional stable motion (LFSM) has been proposed, which performs better than the fractional Brownian motion in predicting high-frequency FX rates and volatility time series.
- [Asymptotic Expansions for High-Frequency Option Data](https://www.ml-quant.com/papers/ssrn/4440168/): A new method for analyzing financial data helps test for sudden volatility changes, with evidence from SP500 options indicating significant variation.
- [Crude Oil Volatility Prediction with Structural Regime Switching](https://www.ml-quant.com/papers/repec/eee-jrpoli-v-83-y-2023-i-c-s0301420723003239/): The article introduces a new model using Markov regime switching for better prediction of volatility in the crude oil market, outperforming other high-frequency prediction models.
- [Adaptive Robust Volatility Estimation for High-Frequency Data](https://www.ml-quant.com/papers/ssrn/4539949/): The paper presents the ARP estimator, a new tool for handling heterogeneous heavy-tailed distributions in high-frequency financial data.
- [Retail Option Trading and Liquidity: Evidence from High-Frequency Data](https://www.ml-quant.com/papers/ssrn/4567604/): The study reveals that retail trading in the options market affects the liquidity of underlying stocks, especially when liquidity supply is anticipated to be limited.
- [Binary Regime Models with Jump Discontinuities](https://www.ml-quant.com/papers/repec/spr-sankhb-v-85-y-2023-i-1-d-10-1007-s13571-022-00277-2/): A statistical technique for jump detection and volatility estimation in high-frequency data is developed.
