---
title: Deep Factor Model for Crop Yield Forecasting and Insurance
url: https://www.ml-quant.com/papers/ssrn/4476951/
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 4476951
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4476951
featured: 2023-06-14
citations: unknown
topic: Risk, Credit & Banking
---


# Deep Factor Model for Crop Yield Forecasting and Insurance

A new deep factor model for crop yield forecasting and crop insurance ratemaking has been proposed, which utilizes a deep autoencoder and deep learning model to enhance the modeling of the production index and the reconstruction of crop yields.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4476951
- Identifier: SSRN 4476951
- Released: 2022-05-05
- First featured: Quant Letter No. 4 (2023-06-14): https://www.ml-quant.com/issues/2023-06-14/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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