BIST30'da Portföy Çeşitlendirmesi için Dinamik Zaman Bükme Algoritması: Metodolojik Bir Yaklaşım

Yıl 2025, Cilt: 25 Sayı: 1, 97 - 110, 25.03.2025

İsmail Çelik , Arife Özdemir Höl , Semra Demir

https://doi.org/10.11616/asbi.1585769

Öz

Bu çalışma, finansal varlıkların doğrusal olmayan yapılarını dikkate alarak çeşitlendirme stratejisi sunan Dinamik Zaman Bükme (DTW) algoritmasının, geleneksel Markowitz portföy çeşitlendirme stratejisine üstünlük sağlayıp sağlamadığını araştırmaktadır. Bu doğrultuda, Borsa İstanbul'da işlem gören BIST30 endeksi kapsamındaki 20 şirketin 01.01.2018-01.01.2024 dönemine ait günlük hisse senedi fiyat verileri kullanılarak portföyler oluşturulmuş ve performansları karşılaştırılmıştır.
Elde edilen bulgular, DTW algoritmasının özellikle boğa piyasalarında daha yüksek kümülatif getiriler sağladığını, ancak bu getirilerin daha yüksek volatilite ve risk ile birlikte geldiğini göstermektedir. Diğer taraftan, Markowitz yöntemi, daha düşük volatilite ve daha dengeli getiriler sunarak ayı piyasalarında daha istikrarlı bir performans sergilemektedir.
Çalışmanın sonuçları, yatırımcıların farklı piyasa koşullarına etkili bir şekilde uyum sağlayarak portföy performanslarını artırmalarına yardımcı olacak alternatif portföy optimizasyon stratejileri sunmaktadır.

Anahtar Kelimeler

Dinamik Zaman Bükme Algoritması, Markowitz, Portföy Çeşitlendirme

Etik Beyan

Bu çalışmanın bilimsel etik kurallara ve bilimsel yönteme uyularak hazırlanan özgün nitelikte bir araştırma makalesi olduğunu, başka hiçbir dergide yayınlanmadığını veya sunulmadığını, etik ve bilimsel açıdan sorumluluğun makalenin tüm yazarlarına ait olduğunu kabul ederiz.

Destekleyen Kurum

Yazarlar, bu araştırmayı desteklemek için herhangi bir dış fon almadıklarını kabul ederler

Dynamic Time Warping Algorithm for Portfolio Diversification in BIST30: A Methodological Approach

Öz

This paper investigates whether the Dynamic Time Warping (DTW) algorithm, which provides a diversification strategy by taking into account the nonlinear structure of financial assets, is superior to the traditional Markowitz portfolio diversification strategy. In this regard, portfolios were constructed and their performances were evaluated through a comparison of the daily stock price data of 20 companies within the scope of the BIST30 index traded in Borsa Istanbul over the period from 01/01/2018 to 01/01/2024.
The findings show that the DTW algorithm provides higher cumulative returns, especially in bull markets, but these returns come with higher volatility and risk. On the other hand, the Markowitz method is more consistent in bear markets, offering lower volatility and more stable returns.
The results of the study provide alternative portfolio optimization strategies to help investors improve their portfolio performance by effectively adapting to different market conditions.

Anahtar Kelimeler

Dynamic Time Warping, Markowitz, Portfolio Diversification

Kaynakça

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