KORONAVİRÜS PANDEMİSİNİN HAVAYOLU ŞİRKETLERİNİN HİSSE SENETLERİ ÜZERİNE ETKİSİ: KANTİL-KANTİL REGRESYON MODELİ UYGULAMASI

Year 2020, Volume: 19 Issue: COVID-19 Special Issue, 429 - 446, 31.10.2020

Buğra Bağcı , Ferhat Çıtak , Muhammet Yunus Şişman

https://doi.org/10.21547/jss.782043

Cited By: 2

Abstract

2019 yılının Aralık ayında Çin’in Wuhan şehrinde ortaya çıkan ve kısa sürede tüm dünyayı etkisi altına alan Koronavirüs (Kovid-19) salgını birçok sektörü olumsuz etkilemiştir. Bu süreçte, ülkeler virüsün yayılmasını engellemek için çeşitli seyahat kısıtlamaları getirerek bu süreci kontrol altında tutmak istemişlerdir. Salgının en erken ekonomik etkileri havacılık sektöründe hissedilmeye başlanmıştır. Bu durum, havayolu şirketlerinin finansal kayıplarını artırmıştır. Bu çalışmada, dünya genelinde raporlanan günlük Kovid-19 vaka sayılarının küresel havayolları şirketlerine ait hisse senetleri üzerindeki etkisi Kantil-Kantil regresyon yöntemi yardımıyla incelenmiştir. Elde edilen bulgulara göre, genel olarak hisse senedi fiyatlarının ele alınan dönemdeki en düşük değerlerinin vaka sayılarından daha güçlü negatif etkilenmiştir. Bir diğer ilginç bulgu ise, Asya merkezli havayolu şirketlerine ait hisse senedi fiyatları diğer havayolu şirketlerine gore daha az negatif etkilenmiştir.

Keywords

Kovid-19, Havayolu Şirketleri, Kantil-Kantil Regresyon Modeli

THE IMPACT OF CORONAVIRUS PANDEMIC ON AIRLINE STOCKS: AN APPLICATION OF QUANTILE-ON-QUANTILE REGRESSION MODEL

Abstract

Coronavirus disease that appeared in Wuhan City, China in December, 2019 that has negatively affected many industries around the world over the short term. Countries has imposed various travel restrictions to prevent the spread of the virus during this process. The earliest economic effects of the epidemic were felt in the airline industry, which increase the financial losses of the airline companies. This study makes an attempt to examine the impact of daily confirmed cases of Covid-19 around the world on the international airline companies’ stock market prices by using Quantile-on-Quantile regression approach. The findings reveal that, in general, the number of cases has a strong negative impact on the lowest values of airline stocks in the period studied. Interestingly, the airline companies operating in Asia were less adversely affected compared to other airlines

Keywords

Covid-19, Airline Companies, Quantile-on-Quantile Regression Model

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