---
title: DeepVol: Volatility Forecasting with Dilated Causal Convolutions
url: https://www.ml-quant.com/papers/repec/taf-quantf-v-24-y-2024-i-8-p-1105-1127/
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: RePEc:taf:quantf:v:24:y:2024:i:8:p:1105-1127
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F14697688.2024.2387222%3Bh%3Drepec%3Ataf%3Aquantf%3Av%3A24%3Ay%3A2024%3Ai%3A8%3Ap%3A1105-1127
featured: 2024-11-13
citations: unknown
topic: Derivatives & Volatility
---


# DeepVol: Volatility Forecasting with Dilated Causal Convolutions

Volatility Forecasting with Dilated Causal Convolutions: The study introduces DeepVol, a model using Dilated Causal Convolutions, which effectively uses high-frequency data to predict next-day market volatility.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F14697688.2024.2387222%3Bh%3Drepec%3Ataf%3Aquantf%3Av%3A24%3Ay%3A2024%3Ai%3A8%3Ap%3A1105-1127
- Identifier: RePEc:taf:quantf:v:24:y:2024:i:8:p:1105-1127
- Released: 2024-11-13
- First featured: Quant Letter No. 74 (2024-11-13): https://www.ml-quant.com/issues/2024-11-13/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Derivatives & Volatility

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