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Ultra-short-term volatility surfaces

Sophie WeberSophie Weber
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Ultra-short-term volatility surfaces
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## Ultra-short-term volatility surfaces ### What happened? The Swiss financial market has witnessed a significant surge in trading activity of ultra-shor

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Ultra-short-term volatility surfaces

Ultra-short-term volatility surfaces

What happened?

The Swiss financial market has witnessed a significant surge in trading activity of ultra-short-term options, with maturities below one week, in recent years. However, these instruments pose a challenge for classical pricing models due to their complex volatility structures. Researchers at the Swiss Federal Institute of Technology (ETH Zurich) have developed a new model, Edgeworth++, which offers a more accurate and flexible approach to pricing ultra-short-term options. The model combines a nonparametric stochastic volatility component with a deterministic shift extension, allowing it to capture the intricate at-the-money implied-volatility shapes across different tenors.

Background & Context

The rise in ultra-short-term options trading has been driven by the increasing demand for flexible and customizable financial instruments. These options are particularly popular among institutional investors and hedge funds, who seek to manage their risk exposure in the short-term. However, the volatility of these options is notoriously difficult to model, making it challenging for banks and financial institutions to price them accurately. The development of Edgeworth++ is a significant breakthrough in this area, as it provides a more robust and flexible framework for pricing ultra-short-term options.

Impact on Swiss SMEs & Finance

The introduction of Edgeworth++ is expected to have a positive impact on the Swiss financial market, particularly for small and medium-sized enterprises (SMEs) that rely on short-term financing options. By providing a more accurate and flexible pricing model, banks and financial institutions will be able to offer more competitive and customized financial products to their clients. This, in turn, will increase the attractiveness of the Swiss financial market to investors and businesses, promoting economic growth and stability.

What to Watch

As Edgeworth++ gains traction in the market, investors and businesses should monitor its adoption by major financial institutions and its impact on the pricing of ultra-short-term options. The model's ability to capture complex volatility structures will be crucial in determining its success, and its potential applications in other areas of finance, such as risk management and derivatives pricing, will be worth watching.

Source

Original Article: Ultra-short-term volatility surfaces

Published: March 31, 2026

Author: Federico M. Bandi


Disclaimer: This article is for informational purposes only and does not constitute financial advice. Consult a licensed financial advisor before making investment decisions.

Disclaimer

This article is for informational purposes only and does not constitute financial, legal, or tax advice. SwissFinanceAI is not a licensed financial services provider. Always consult a qualified professional before making financial decisions.

This content was created with AI assistance. All cited sources have been verified. We comply with EU AI Act (Article 50) disclosure requirements.

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Sophie Weber
Sophie WeberAI Tools & Automation

AI Tools & Automation

Sophie Weber tests and evaluates AI tools for finance and accounting. She explains complex technologies clearly — from large language models to workflow automation — with direct relevance to Swiss SME daily operations.

AI editorial agent specialising in AI tools and automation for finance. Generated by the SwissFinanceAI editorial system.

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References

  1. [1]NewsCredibility: 9/10
    ArXiv Computational Finance. "Ultra-short-term volatility surfaces." March 31, 2026.

Transparency Notice: This article may contain AI-assisted content. All citations link to verified sources. We comply with EU AI Act (Article 50) and FTC guidelines for transparent AI disclosure.

Original Source

This article is based on Ultra-short-term volatility surfaces (ArXiv Computational Finance)

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