SPX-VIX Risk Computations Via Perturbed Optimal Transport
Sophie Weber
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A Swiss finance-focused summary: Researchers have developed a model-independent framework for generating risk scenarios for the S&P 500 (SPX) and Volatili
SPX-VIX Risk Computations Via Perturbed Optimal Transport
A Swiss finance-focused summary:
Researchers have developed a model-independent framework for generating risk scenarios for the S&P 500 (SPX) and Volatility Index (VIX) based on their market smiles. This framework, grounded in optimal transport theory, enables the computation of risk sensitivities without requiring a full recalibration after market shocks. The approach has implications for Swiss banks and financial institutions, which can leverage this method to better quantify and manage risk in their portfolios. By utilizing this framework, Swiss fintech companies may also develop more sophisticated risk management tools and AI-driven solutions for the financial sector.
Disclaimer: This article is for informational purposes only and does not constitute financial advice. Consult a licensed financial advisor before making investment decisions.
Source
Original Article: SPX-VIX Risk Computations Via Perturbed Optimal Transport
Published: March 11, 2026
Author: Charlie Che
This article was automatically aggregated from ArXiv Computational Finance for informational purposes. Summary written by AI.
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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.
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References
- [1]NewsCredibility: 7/10ArXiv Computational Finance. "SPX-VIX Risk Computations Via Perturbed Optimal Transport." March 11, 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 SPX-VIX Risk Computations Via Perturbed Optimal Transport (ArXiv Computational Finance)
