---
title: About Interest of Credits With Public Data and Regional Disparities
url: https://www.ml-quant.com/papers/ssrn/4618881/
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 4618881
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4618881
featured: 2023-11-02
citations: 0
topic: Risk, Credit & Banking
---


# About Interest of Credits With Public Data and Regional Disparities

The paper discusses the use of Google Trends for analyzing credit interest in Armenia, eliminating the need for traditional surveys by gathering online search data.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4618881
- Identifier: SSRN 4618881
- Released: 2023-10-31
- First featured: Quant Letter No. 24 (2023-11-02): https://www.ml-quant.com/issues/2023-11-02/
- Citations (Semantic Scholar): 0
- Published in: not yet
- Topic: Risk, Credit & Banking

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