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SSRNDerivatives & Volatility

A Variational Autoencoder Approach to Conditional Generation of Possible Future Volatility Surfaces

The paper presents a new method for predicting future implied volatility surfaces using historical data, employing a conditional variational autoencoder and a long short-term memory network.

Featured in No. 26 on 15 Nov 2023 · 6 days after release · 2 citations today

Released
9 Nov 2023
First featured
No. 26 · 15 Nov 2023
Citations (Semantic Scholar)
2
Influential citations
0
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
17
Identifier
SSRN 4628457

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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