COVID-19 KÜRESEL SALGINI SIRASINDA BORSA İSTANBUL’DA SÜRÜ DAVRANIŞININ TEST EDİLMESİ

Sürü davranışı kavramı, herhangi bir merkeze bağlı olmadan hareket etmeye meyilli yatırımcıların piyasada gerçekleştirdikleri sözde koordineli veya işbirlikçi davranışlarının doğasına dayanmaktadır. Bu çalışma, yeni koronavirüs salgını sırasında Borsa İstanbul (BIST) için sürü davranış fenomenini araştırmaktadır. Tüm dönem, yerel anlamda ilk kez karşılaşılan COVID-19 vakasının resmi duyuru tarihi olan 11 Mart 2020 tarihini medyan noktası olarak dikkate alarak iki tane ayrık simetrik bir yıllık alt döneme ayrılmıştır. Makale, 11 Mart 2019 – 9 Mart 2021 dönemi boyunca BIST 100 endeksini oluşturan hisselerin günlük hisse senedi kapanış fiyatları kullanılarak, muhtemel sürü davranışını test etmek için Kesitsel ortalama mutlak sapma (CSAD) ve Kesitsel standart sapma (CSSD) test etme metodolojisine dayanan modelleri esas almak suretiyle ilerlemektedir.

Anahtar Kelimeler:

Davranışsal Finans, Piyasa Etkinliği, Zaman Serisi Modelleri.

TESTING FOR HERD BEHAVIOR IN BORSA ISTANBUL DURING THE COVID-19 PANDEMIC

The concept of herd behavior is based on the nature of decentralized acting investors’ pseudo-collaborative behaviors in the market. This study investigates the herd behavior phenomenon for Borsa Istanbul (BIST) amidst the new coronavirus outbreak. The whole period is split into symmetrical two discrete one-year sub-periods considering the median date of March 11th, 2020, the official announcement date of the first domestic COVID-19 case. The paper proceeds with the models based on the Cross-sectional mean absolute deviation (CSAD) and the Cross-sectional standard deviation (CSSD) test methodology to test for probable herd behavior, using daily stock closing prices of the BIST 100 index shares during the period from March 11th, 2019 to March 9th, 2021.

Keywords:

Behavioral Finance, Market Efficiency, Time-Series Models,

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