Varlı, Yusuf

Profil fotoğrafı
 E-posta Adresi
yusuf.varli@ihu.edu.tr
ORCID Profili
0000-0003-3305-7209
WoS Profili
DWH-2213-2022
Scopus Profili
56224252700
Google Akademik Profili
iRJGi8gAAAAJ
TR-Dizin Profili
369393

Araştırma projeleri

Organizasyon Birimleri

Organizasyon Birimi Logosu
Organizasyon Birimi
Yönetim Bilimleri Fakültesi, İktisat Bölümü
İktisat Bölümü, başta Türkiye ve çevre ülkeler olmak üzere küresel ekonomileri anlayan, var olan sorunları analiz ederken, iktisadi kuramları ve kavramları yetkin ve özgün bir şekilde kullanma becerisine sahip bireyler yetiştirmeyi amaçlamaktadır.

Adı Soyadı

Yusuf Varlı

İlgi Alanları

İş ekonomisi, Fizik, Din

Kurumdaki Durumu

Pasif Personel

Filtreler

2018 - 201922020 - 20211
Filtreleri Sıfırla

Ayarlar

search.filters.applied.f.publicationcategory: Öğrenci ×

Arama Sonuçları

Listeleniyor 1 - 3 / 3
  • [ N/A ]
    Yayın
    Understanding the dynamics of housing market: evidence from Turkey
    (Bandırma Onyedi Eylül Üniversitesi, 2018) Bora, Ramazan; Varlı, Yusuf; Yönetim Bilimleri Fakültesi, İşletme Bölümü
    The housing market has attracted substantial interest in both theory and practice as its interactions with the rest of the economy has far-reaching implications from the perspectives of the households, businesses and the policy makers. In particular, the 2007-08 global financial crisis has reaffirmed the importance of the housing market on the proper functioning of the whole economy. In this study, the demand and supply sides of the housing market are modeled separately referring to the problem of representative household and firm. The housing market model analyzed in this study is supported with an empirical application based on Turkish housing market data and using cointegration analysis and the vector error correction model (VECM). It is found that the housing market and macroeconomic fundamentals of Turkey, such as the income level, interest rate, unemployment and housing prices are cointegrated. Additionally, further analysis based on structural VECM suggests that the housing market in Turkey, particularly in the long run, is sensitive to the shocks in the economy.
  • Küçük Resim
    Yayın
    An empirical investigation of the determinants of market efficiency in Borsa Istanbul
    (Springer, 2021) Şahin, Ebubekir Sıddık; Varlı, Yusuf; Yönetim Bilimleri Fakültesi, İktisat Bölümü
    Following the last global financial crisis, efficiencies of stock markets have come to sight as a novel area of research. The question of what factors shape the efficiency of the stock market is naturally always of a curiosity in theory and practice. In line with the framework of this curiosity, this study examines the main determinants that play a crucial role in the efficiency of a certain stock market, Borsa Istanbul. Our study contributes to the literature by using five years and daily data belonging to both individual and institutional investors. We here aim to specify the ten determinants of market efficiency which are categorized under investor-based, market-based and country-based determinants. According to the three different regressions and VAR analysis, the results indicate the strong relationship between the market efficiency and the specified determinants such as turnover, market volatility, the share of foreign investors and interest rate.
  • [ N/A ]
    Yayın
    Determinants of market efficiency: evidence from Borsa Istanbul
    (T.C. Merkez Bankası, 2018) Şahin, Ebubekir Sıddık; Varlı, Yusuf; Yönetim Bilimleri Fakültesi, İktisat Bölümü
    Following the last global financial crisis, efficiencies of stock markets have come to sight as a novel area of research. The question of what factors shape the efficiency of the stock market is naturally always of a curiosity in theory and practice. In line with the framework of this curiosity, this study examines the determinants that play a crucial role in the efficiency of a certain stock market, Borsa Istanbul. Our study contributes to the literature by using five years and daily data for both individual and institutional investors. We here aim to specify the nine determinants of efficiency which are categorized under investor-based, market-based and country-based determinants. According to the three different regressions and VAR analysis, the model indicates the strong relationship between the efficiency and the specified determinants. The results illustrate that market efficiency has a statistically significant relationship with turnover, market volatility, the share of foreigners and interest rate