Synthetic data generation with deep generative models to enhance predictive tasks in trading strategies

Autor:	Raul Ramos Pollan, Daniel Carvajal-Patiño
Rok vydání:	2022
Předmět:	Business Management and Accounting (miscellaneous) Finance
Zdroj:	Research in International Business and Finance. 62:101747
ISSN:	0275-5319
DOI:	10.1016/j.ribaf.2022.101747
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::31bd14f3ad72f6642e97acaa59c4bdf7 https://doi.org/10.1016/j.ribaf.2022.101747 Zobrazit plný text záznamu Full Text from ScienceDirect