---
title: Housing Market Connectedness
url: https://www.ml-quant.com/papers/repec/eee-jimfin-v-152-y-2025-i-c-s0261560625000014/
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:jimfin:v:152:y:2025:i:c:s0261560625000014
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0261560625000014%3Bh%3Drepec%3Aeee%3Ajimfin%3Av%3A152%3Ay%3A2025%3Ai%3Ac%3As0261560625000014
featured: 2025-03-05
citations: unknown
topic: Macro-Finance & Rates
---


# Housing Market Connectedness

The research uses machine learning and quantile connectedness models to study the international housing market, emphasizing the significant influence of the US housing market and its interest rates.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0261560625000014%3Bh%3Drepec%3Aeee%3Ajimfin%3Av%3A152%3Ay%3A2025%3Ai%3Ac%3As0261560625000014
- Identifier: RePEc:eee:jimfin:v:152:y:2025:i:c:s0261560625000014
- Released: 2025-03-05
- First featured: Quant Letter No. 87 (2025-03-05): https://www.ml-quant.com/issues/2025-03-05/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Macro-Finance & Rates

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