Corporate rating forecasting using artificial intelligence statistical techniques
| Year of publication: |
2019
|
|---|---|
| Authors: | Caridad, Daniel ; Hančlová, Jana ; El Woujoud Bousselmi, Hosn ; Caridad y López del Río, Lorena |
| Published in: |
Investment management and financial innovations. - Sumy : Publishing Company "Business Perspectives", ISSN 1810-4967, ZDB-ID 2467221-X. - Vol. 16.2019, 2, p. 295-312
|
| Subject: | companies rating | forecasting rating | multivariate statistical models | neural networks | public data | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Statistische Methode | Statistical method |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Notes: | Zusammenfassung in ukrainischer Sprache |
| Other identifiers: | 10.21511/imfi.16(2).2019.25 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
-
Chopra, Ritika, (2021)
-
A bibliometric analysis of machine learning econometrics in asset pricing
Zapata, Hector O., (2022)
-
Intelligent stock prediction : a neural network approach
Shahrour, Mohamad Hassan, (2023)
- More ...
-
The impact of digital technologies on smes’ resilience during the COVID-19 pandemic
Khalil, Afef, (2022)
-
Moody's ratings statistical forecasting for industrial and retail firms
Caridad y López del Río, Lorena, (2021)
-
Sucháček, Jan, (2021)
- More ...