Verification of neural network models for forecasting the volatility of the WIG20 index rates of return during COVID-19 pandemic

التفاصيل البيبلوغرافية
العنوان: Verification of neural network models for forecasting the volatility of the WIG20 index rates of return during COVID-19 pandemic
المؤلفون: Aleksandra Zakrzewska, Emilia Fraszka Sobczyk
المصدر: International Journal of Applied Decision Sciences. 1:1
بيانات النشر: Inderscience Publishers, 2024.
سنة النشر: 2024
مصطلحات موضوعية: Economics and Econometrics, Information Systems and Management, Strategy and Management, Management Science and Operations Research
تدمد: 1755-8085
1755-8077
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d792d149f8b726535820ef54de4812c7
https://doi.org/10.1504/ijads.2024.10051016
رقم الأكسشن: edsair.doi...........d792d149f8b726535820ef54de4812c7
قاعدة البيانات: OpenAIRE