Identifying explosive behavioral trace in the CNX nifty index: A quantum finance approach

Title

Identifying explosive behavioral trace in the CNX nifty index: A quantum finance approach

Creator

Ghosh B.; Kozarevic E.

Description

The fnancial markets are found to be fnite Hilbert space, inside which the stocks are displaying their wave-particle duality. Te Reynolds number, an age old fluid mechanics theory, has been redefned in investment fnance domain to identify possible explosive moments in the stock exchange. CNX Nify Index, a known index on the National Stock Exchange of India Ltd., has been put to the test under this situation. Te Reynolds number (its fnancial version) has been predicted, as well as connected with plausible behavioral rationale. While predicting, both econometric and machinelearning approaches have been put into use. Te primary objective of this paper is to set up an efcient econophysics' proxy for stock exchange explosion. Te secondary objective of the paper is to predict the Reynolds number for the future. Last but not least, this paper aims to trace back the behavioral links as well. 2018 Bikramaditya Ghosh, Emira Kozarevic.

Source

Investment Management and Financial Innovations, Vol-15, No. 1, pp. 208-223.

Date

2018-01-01

Publisher

LLC CPC Business Perspectives

Subject

Artifcial neural network; Econophysics; Heuristics; Hilbert space; Reynolds number

Coverage

Ghosh B., Institute of Management, Christ University, India; Kozarevic E., Faculty of Economics, University of Tuzla, Bosnia and Herzegovina

Rights

All Open Access; Gold Open Access

Relation

ISSN: 18104967

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.21511/imfi.15(1).2018.18

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047126584&doi=10.21511%2fimfi.15%281%29.2018.18&partnerID=40&md5=01dda8c4841af8ab389e99f1de177ff2