Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Emre Kesici"'
Publikováno v:
IEEE Access, Vol 8, Pp 117133-117145 (2020)
Recurrent neural networks have received vast amount of attention in time series prediction due to their flexibility in capturing dependencies on various scales. However, as in most of the classical forecasting methods, its accuracy is strongly tied t
Externí odkaz:
https://doaj.org/article/0f71de2abbc24388ba807943a98fe574
Publikováno v:
IEEE Access, Vol 8, Pp 117133-117145 (2020)
Recurrent neural networks have received vast amount of attention in time series prediction due to their flexibility in capturing dependencies on various scales. However, as in most of the classical forecasting methods, its accuracy is strongly tied t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f71f82b0309436e5a51352f4ecf79daa
https://ieeexplore.ieee.org/document/9099274/
https://ieeexplore.ieee.org/document/9099274/
Autor:
Onur Bayar, Emre Kesici
Publikováno v:
SSRN Electronic Journal.
We examine how information acquisition through social media affects venture capital (VC) investments into VC-backed startups. We collect a unique data set from Twitter API to measure the impact of portfolio companies owned social media (OSM) and earn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83e6693a43e0068ad17c632090788e99
https://doi.org/10.2139/ssrn.3711796
https://doi.org/10.2139/ssrn.3711796
Publikováno v:
Global Finance Journal. 48:100559
In this paper, we empirically analyze the disclosures required by the Securities Exchange Commission (SEC) for acquisitions of privately held target firms by public acquirers. We find that 8-K disclosures filed by public acquirers within a week after
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa64b5551bbbd46bbb65b9841653e34f
https://doi.org/10.1016/j.gfj.2020.100559
https://doi.org/10.1016/j.gfj.2020.100559
Autor:
Emre Kesici
Publikováno v:
SSRN Electronic Journal.
Turkish Abstract: Borsalar ve teskilatlanmis piyasalarda icsel bilgileri kullanarak menfaat elde edilmesi her zaman sermaye piyasalariyla ilgili olarak ilgi cekici konu olmustur. Icerden ogrenenlerin ticareti sucu kisaca kamuya aciklanmamis bilgileri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59c7fc19d4c94a0cabe07d0ac3fa62e9
https://doi.org/10.2139/ssrn.2876337
https://doi.org/10.2139/ssrn.2876337