---
title: Stock Portfolio Construction in BIST Retail Sector
url: https://www.ml-quant.com/papers/repec/eco-journ1-2024-06-3/
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:eco:journ1:2024-06-3
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.econjournals.com%2Findex.php%2Fijefi%2Farticle%2Fdownload%2F16982%2F8253%3Bh%3Drepec%3Aeco%3Ajourn1%3A2024-06-3
featured: 2024-12-04
citations: unknown
topic: Portfolio & Allocation
---


# Stock Portfolio Construction in BIST Retail Sector

The study uses Entropy CRITIC IDDWS and PROMETHEE methods to create an optimal stock portfolio from BIST Retail Trade Sector firms for 2022-2023, highlighting six companies as the most efficient.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.econjournals.com%2Findex.php%2Fijefi%2Farticle%2Fdownload%2F16982%2F8253%3Bh%3Drepec%3Aeco%3Ajourn1%3A2024-06-3
- Identifier: RePEc:eco:journ1:2024-06-3
- Released: 2024-12-04
- First featured: Quant Letter No. 77 (2024-12-04): https://www.ml-quant.com/issues/2024-12-04/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Portfolio & Allocation

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