---
title: Green Finance in Economic Cycles
url: https://www.ml-quant.com/papers/repec/eee-tefoso-v-209-y-2024-i-c-s0040162524005900/
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:eee:tefoso:v:209:y:2024:i:c:s0040162524005900
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0040162524005900%3Bh%3Drepec%3Aeee%3Atefoso%3Av%3A209%3Ay%3A2024%3Ai%3Ac%3As0040162524005900
featured: 2024-12-12
citations: unknown
topic: Econometrics & Forecasting
---


# Green Finance in Economic Cycles

The deep multi-layer perceptron (DMLP) and k-nearest neighbor (KNN) machine learning models can improve economic forecasting accuracy, especially when used with cross-validation and bootstrap bagging techniques.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0040162524005900%3Bh%3Drepec%3Aeee%3Atefoso%3Av%3A209%3Ay%3A2024%3Ai%3Ac%3As0040162524005900
- Identifier: RePEc:eee:tefoso:v:209:y:2024:i:c:s0040162524005900
- Released: 2024-12-12
- First featured: Quant Letter No. 78 (2024-12-12): https://www.ml-quant.com/issues/2024-12-12/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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