Reconstructing the emergent organization of information flows in international stock markets : a computational complex systems approach
Year of publication: |
2023
|
---|---|
Authors: | Buscema, Massimo ; Della Torre, Francesca ; Massini, Giulia ; Ferilli, Guido ; Sacco, Pier Luigi |
Published in: |
Computational economics. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9974, ZDB-ID 1477445-8. - Vol. 62.2023, 1, p. 49-89
|
Subject: | Artificial Neural Networks | Complex economic dynamics | Global financial markets | Information flows | Stock market indexes | Aktienmarkt | Stock market | Neuronale Netze | Neural networks | Informationsverbreitung | Information dissemination | Finanzmarkt | Financial market | Börsenkurs | Share price | Aktienindex | Stock index | Internationaler Finanzmarkt | International financial market | Theorie | Theory |
-
Forecasting Nigerian stock market returns using ARIMA and artificial neural network models
Isenahd, Godknows M., (2014)
-
Do industries lead stock markets? A reexamination
Tse, Yiuman, (2015)
-
Tudor, Cristiana, (2010)
- More ...
-
Erspamer, Christopher, (2022)
-
Unraveling the space grammar of terrorist attacks : a TWC approach
Buscema, Massimo, (2018)
-
The complex dynamic evolution of cultural vibrancy in the region of Halland, Sweden
Buscema, Massimo, (2020)
- More ...