---
title: Enflasyon Öngörüsü Türkiye'de
url: https://www.ml-quant.com/papers/repec/ahs-journl-v-9-y-2025-i-4-p-877-895/
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:ahs:journl:v:9:y:2025:i:4:p:877-895
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdergipark.org.tr%2Ftr%2Fdownload%2Farticle-file%2F4259585%3Bh%3Drepec%3Aahs%3Ajournl%3Av%3A9%3Ay%3A2025%3Ai%3A4%3Ap%3A877-895
featured: 2025-01-08
citations: unknown
topic: Macro-Finance & Rates
---


# Enflasyon Öngörüsü Türkiye'de

A study found that XGBoost performs better in predicting inflation during economic crises in Turkey with large datasets, while the ARMA model performs better with smaller datasets.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fdergipark.org.tr%2Ftr%2Fdownload%2Farticle-file%2F4259585%3Bh%3Drepec%3Aahs%3Ajournl%3Av%3A9%3Ay%3A2025%3Ai%3A4%3Ap%3A877-895
- Identifier: RePEc:ahs:journl:v:9:y:2025:i:4:p:877-895
- Released: 2025-01-08
- First featured: Quant Letter No. 81 (2025-01-08): https://www.ml-quant.com/issues/2025-01-08/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Macro-Finance & Rates

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