Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Veli Akel"'
Autor:
Veli Akel, Sümeyra Gazel
Publikováno v:
Volume:, Issue: 77 147-164
Muhasebe ve Finansman Dergisi
Muhasebe ve Finansman Dergisi
Literatür incelendiğinde, finansal veriler üzerinde veri madenciliği tekniklerinin sıkça kullanıldığı dikkat çekmektedir. Bu çalışmada Borsa İstanbul’da (BIST) farklı sektör endeksleri içinde yer alan hisse senetlerinin, geçmiş
This study investigates the reaction of investors to the announcement of firms included in BIST Sustainability Index. Stock returns of BIST 50 firms, which are also constituents of BIST Sustainability Index, with those of BIST 50 firms that could not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b89a7afc4b445e6a6a24ce70470d2cad
https://doi.org/10.4018/978-1-5225-3147-0.ch012
https://doi.org/10.4018/978-1-5225-3147-0.ch012
Autor:
Veli Akel, Talip Torun
Publikováno v:
Contributions to Economics ISBN: 9783319470207
Aim of this study is to empirically investigate the role of stock market development on economic growth of the emerging markets listed in MSCI Emerging Market Index using annual data over the period from 1995 to 2012. We employ Panel Data Analysis to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e3eb4309006baf8209e3f8edea0f775
https://doi.org/10.1007/978-3-319-47021-4_23
https://doi.org/10.1007/978-3-319-47021-4_23
Autor:
Yüksel Iltaş, Veli Akel
Publikováno v:
Volume: 11, Issue: 3 39-70
Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi
Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi
Bu çalışmanın amacı, temel makroekonomik göstergelerin metal, gıda, kimya, tekstil ve teknoloji sektörlerinin işletme sermayesi üzerindeki etkisini analiz etmek ve sektörler arasında bir karşılaştırma yapmaktır. Bu kapsamda, gayrisaf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6b47f1f0f9e6109bcb8241747f4de59
https://dergipark.org.tr/tr/pub/oguiibf/issue/25810/272245
https://dergipark.org.tr/tr/pub/oguiibf/issue/25810/272245
This chapter revisits the empirical validity of the weak-form efficient market hypothesis for Turkish foreign exchange markets. The random-walk hypothesis in foreign-exchange rates market is one of the most researched areas, particularly in developed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68eb2bafadf5d4a968affaa90e77a1d8
https://doi.org/10.4018/978-1-4666-9814-7.ch046
https://doi.org/10.4018/978-1-4666-9814-7.ch046
Autor:
Veli Akel, Sümeyra Gazel
Publikováno v:
Volume: 0, Issue: 44 23-41
Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
In this paper, we investigate existence of long-run and short-run equilibrium relationships among the Borsa Istanbul Industrial Index (SINAI), real effective exchange rate (REER), Dollar Index (DXY) and Euro/Turkish Lira exchange rate in Turkey. Appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::856f64899ce8d812a2b0fd052b5c1559
https://dergipark.org.tr/tr/pub/erciyesiibd/issue/5901/77960
https://dergipark.org.tr/tr/pub/erciyesiibd/issue/5901/77960
In this chapter, the authors investigate the relationship between investor sentiment and stock returns in an out of sample market, namely Borsa Istanbul. The authors use the Consumer Confidence Index as an investor sentiment proxy, while utilizing BI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bd37f78f0321da65617b8179cd91c08
https://hdl.handle.net/20.500.12605/16770
https://hdl.handle.net/20.500.12605/16770
Autor:
VELİ AKEL
Publikováno v:
Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Vol 22, Iss 2 (2013)
In this study, single index models are applied to a free survivorship bias database of 51 A and 51 B Types Turkish mutual funds using monthly returns over 5 years from 2000 to 2004. Then, it has been investigated whether mutual fund managers have mar
Autor:
Veli Akel, Fikriye Karacameydan
This study aims to forecast net asset values of Turkish mutual funds using Artificial Neural Networks (ANN) method. In order to forecast net asset values of 38 mutual funds (19 A type and 19 B type), 6 macro economic variables are used in the period
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::eefaa318c7cfdf023c996a1fc48bd480
http://www.anadolu.edu.tr/arastirma/hakemli_dergiler/sosyal_bilimler/pdf/2012_2/2012-02-07.pdf
http://www.anadolu.edu.tr/arastirma/hakemli_dergiler/sosyal_bilimler/pdf/2012_2/2012-02-07.pdf