Stokastik Baskınlık Testi İle Oluşturulmuş BIST-30 Portföylerinin Performansının Değerlendirilmesi

Bu çalışmada, ikinci dereceden stokastik baskınlık testi ile Türkiye’deki BIST-30 endeksinden oluşturulan portföylerin performansları; eşit ağırlıklandırma, getiri maksimizasyonu, risk minimizasyonu, Sharpe oranı maksimizasyonu, Treynor oranı maksimizasyonu ve Jensen Alfası maksimizasyonu yöntemleri kullanılarak karşılaştırılmaktadır. Çalışmada, 01.01.2013–31.12.2015 dönemini kapsayan, günlük hisse senedi piyasa endeksi kapanış verileri kullanılarak ikinci dereceden stokastik baskınlık testi ile portföyler oluşturulmuştur. BIST-30 endeksi günlük getirilere göre incelendiğinde, endeks etkin çıkmamaktadır. Etkin çıkan hisseler ARCLK, BIMAS, EREGL, FROTO, KCHOL, OTKAR, PETKM, TAVHL, TCELL, TOASO, TUPRS ve ULKER olmuştur. Buna ek olarak sadece domine edilen hisseler ise DOAS ve KOZAL olmuştur. Daha sonra, ek bir inceleme olarak 2013, 2014 ve 2015 yılları iki yarıyıla bölünerek günlük getirilere ikinci dereceden stokastik baskınlık testi uygulanmıştır. Burada neredeyse her yarıyılda etkin çıkan hisseler birbirlerinden farklıdır. Bunun BIST-30 endeksinin etkin olmayışından ve ekonomideki sürekli değişkenlikten kaynaklandığı düşünülmektedir.

In this paper, performances of the second order stochastic dominance test constructed portfolios from BIST-30 index are evaluated and compared by using equal weight, return maximization, risk minimization, Sharpe ratio maximization, Treynor ratio maximization and Jensen Alpha maximization methods. In this study, daily stock returns of BIST-30 index from 01.01.2013 to 31.12.2015 are computed by using the closing values. Efficient stocks are found as ARCLK, BIMAS, EREGL, FROTO, KCHOL, OTKAR, PETKM, TAVHL, TCELL, TOASO, TUPRS and ULKER. Additionally, the only dominated stocks are DOAS and KOZAL. As an additional research, 2013, 2014 and 2015 are split into two 6-months terms and the stochastic dominance test is applied on these 6-months terms. According to these results, efficient stocks differ time to time. It's reason is the inefficiency of the BIST-30 index and the continuous instability of the economy.

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