Yazar
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Stock market prediction in brics countries using linear regression and artificial neural network hybrid models
Ataman, M.G.; Kahraman, S. (World Scientific, 2021)The BRICS (Brazil, Russia, India, China and South Africa) acronym was created by the International Monetary Foundation (IMF)-Group of Seven (G7) to represent the bloc of developing economies which crucially impact on the ... -
The nexus of aging in family businesses: Decision-making models on preferring a suitable successor
Bulut, C.; Kahraman, S.; Ozeren, E.; Nasir, S. (Journal of Organizational Change Management, 2019)Purpose: The purpose of this paper is to elaborate on the preferences of parent founders within family businesses in selecting a suitable successor with the increase in life expectancy. Design/methodology/approach: The ... -
THE RELATIONSHIP BETWEEN EMPLOYEE ATTITUDES AND INNOVATION TYPES: A MANAGERIAL PERSPECTIVE
Bulut, C.; Gencturk, S.; Aydin, E.; Nazli, M.; Kahraman, S. (CZESTOCHOWA UNIV TECHNOLOGY, 2019)This research aims at demonstrating how employee attitudes effect on innovation types that they adopt. Furthermore, this study examines the effects of most frequently used and widely accepted twelve constructs on ... -
Volatility Transmission Between the Japanese Stock Market and the Western Stock Market Indices: Time & Frequency Domain Connectedness Analysis with High-Frequency Data
Kahraman, S.; Keser, M. (Routledge, 2021)Stock markets are the main source of financial fragility and the spillover effect due to the high level of connectedness. This study focuses on the connectedness between the Japanese stock market and the major Western stock ...
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