TITLE:
Soft Vibrational Force on Stock Market Networks
AUTHORS:
Mehmet Ali Balci, Ömer Akgüller
KEYWORDS:
Network Modelling, Multivariate Analysis, Soft Analysis, Stock Exchange Network, Soft Set Theory
JOURNAL NAME:
Open Access Library Journal,
Vol.3 No.10,
October
17,
2016
ABSTRACT: Stock market networks commonly involve uncertainty, and the theory of soft sets emerges as a powerful tool to handle it. In this study, we present a soft analogue of the differential of a vibrational potential function acting on a stock market network as vibrational force. For this purpose, we first study the vibrational potential function operating on each vertex by using the Laplacian of the neighborhood graph, then applied the soft approximator for the soft sets where the data points are embedded to Euclidean n space. We used the data of the globally operating leading stock markets of 17 countries and presented the results respect to them.