Complexity, nonlinearity and high frequency financial data modeling: lessons from computational approaches

This editorial introduces the special issue Complexity, Nonlinearity and High Frequency Financial Data Modeling: Lessons from Computational Approaches in Annals of Operations Research , which brings together 19 contributions exploring advanced methods and applications in the analysis of financial ma...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Annals of operations research Ročník 352; číslo 3; s. 353 - 358
Hlavní autoři:	Amman, Hans, Barnett, William A., Jawadi, Fredj, Tucci, Marco
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.09.2025 Springer Nature B.V
Témata:	Banking Business and Management Combinatorics Complexity COVID-19 vaccines Credit risk Digital currencies Disease transmission Dynamical systems Econometrics Economic development Economic growth Editorial Electronic trading systems Financial systems Forecasting Foreign exchange rates Futures market High frequency trading Immunization Information flow Innovations Machine learning Multiscale analysis Nonlinear dynamics Nonlinearity Operations Research/Decision Theory Securities markets Shadow prices Structural models Theory of Computation Volatility Yield curve United States > US China Ukraine Russia C20 Financial modeling C22 F10 Machine learning G10 Nonlinearity Complexity
ISSN:	0254-5330, 1572-9338
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!