Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Zeliha Can Ergün"'
Autor:
Zeliha Can Ergün
Publikováno v:
Ekonomi, Politika & Finans Araştırmaları Dergisi, Vol 9, Iss 1, Pp 43-60 (2024)
This study examines the effect of day-of-the-week, month-of-the-year, and turn-of-the-month anomalies on NFT coins (Stacks, Tezos, and Decentraland) and Bitcoin. To this end, the generalized autoregressive conditional heteroscedasticity (GARCH) model
Externí odkaz:
https://doaj.org/article/ef9f9e77c4b04a55a15410de127c1fbc
Autor:
Zeliha Can Ergün
Publikováno v:
Trends in Business and Economics, Vol 38, Iss 1, Pp 32-38 (2024)
The aim of this study was to examine how the crisis between Russia and Ukraine has affected the companies included in the Borsa Istanbul tourism index. To identify abnormal returns, the event study method was applied. The event day was determined as
Externí odkaz:
https://doaj.org/article/e12ebdfdb5264b949b555d1bb0b5c50d
Publikováno v:
Applied Economic Analysis, Vol 29, Iss 86, Pp 171-188 (2021)
Purpose – This study aims to measure the relationship between demand and exchange rate shocks in the tourism industry. Design/methodology/approach – A panel data set is constructed covering the period between 1995 and 2017, and the data set inclu
Externí odkaz:
https://doaj.org/article/57f4df1f26234210a9194e05360c895d
Autor:
Zeliha CAN ERGÜN, Can KARABIYIK
Publikováno v:
Yönetim ve Ekonomi, Vol 27, Iss 3, Pp 741-758 (2020)
The purpose of this study is to examine the volatility and return spillover effect in the stock indices of 19 developed and developing market economies during the period between January 2000 and June 2019, and it is also aimed to examine the findings
Externí odkaz:
https://doaj.org/article/5086ca4fbff2452a820c3804f802d972
Publikováno v:
Borsa Istanbul Review, Vol 20, Iss 3, Pp 214-223 (2020)
The main aim of this study is to analyze the causal relationship between BIST-100 return index and investor sentiment. The investor sentiment is measured by constructing an index comprised of the closed-end fund discount, mutual fund flows, share of
Externí odkaz:
https://doaj.org/article/ce97854ebcaa42e8984d9c356ebe13df
Autor:
Ayşegül ÇİMEN, Zeliha CAN ERGÜN
Publikováno v:
İzmir İktisat Dergisi, Vol 34, Iss 1, Pp 67-75 (2019)
İlk halka arzların arkasındaki davranış sorunları finans literatüründe hala çözüme ulaşmamış bir olgudur. Bu çalışmanın amacı, kısa vadede Borsa İstanbul’da listelenen firmaların halka arz sonrası dönemde olası sürü davra
Externí odkaz:
https://doaj.org/article/878c5feb98c34883b56103292b81c3e3
Purpose This study aims to investigate the interconnectedness across the risk appetite of distinct investor types in Borsa Istanbul. This study also examines the causal impact of global implied volatility indices on the risk appetite of these investo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c93a30f9f5c4c2461e625889d9ea0060
https://avesis.deu.edu.tr/publication/details/92b59616-8315-4fc8-8f64-4f79afc74810/oai
https://avesis.deu.edu.tr/publication/details/92b59616-8315-4fc8-8f64-4f79afc74810/oai
Publikováno v:
Volume: 16, Issue: 3 651-663
Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi
Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi
Literatürde birçok araştırmacının farklı kripto para birimlerinin değerlerini tahmin etmeye çalıştıkları gözlemlenmiş, fakat Monero fiyat eğilimlerini analiz eden çok az çalışmaya rastlanmıştır. Monero gizlilik özellikleri aç
Publikováno v:
Volume: 11, Issue: 22 295-315
Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Son zamanlarda piyasa değeri en yükseğe ulaşan Bitcoin, kripto para piyasasında büyük önem kazanmıştır. Bu yüzden, yatırımcılar ve araştırmacılar, Bitcoin fiyatlarını etkileyen faktörleri ve bunların tahmin edilebilir olup olmad
Publikováno v:
Applied Economic Analysis. 29:171-188
PurposeThis study aims to measure the relationship between demand and exchange rate shocks in the tourism industry.Design/methodology/approachA panel data set is constructed covering the period between 1995 and 2017, and the data set includes the top