Composite financial performance index prediction : a neural networks approach
Year of publication: |
2021
|
---|---|
Authors: | Sabău Popa, Diana Claudia ; Popa, Dorina Nicoleta ; Bogdan, Victoria ; Simut, Ramona |
Subject: | business performance | financial indicators | composite index | PCA | predictive behaviour | neural networks | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Unternehmenserfolg | Firm performance | Index | Index number | Wirtschaftsindikator | Economic indicator | Aktienindex | Stock index | Performance-Messung | Performance measurement | Betriebliche Kennzahl | Financial ratio |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.3846/jbem.2021.14000 [DOI] |
Classification: | M21 - Business Economics ; M41 - Accounting ; L25 - Firm Size and Performance ; C45 - Neural Networks and Related Topics ; G39 - Corporate Finance and Governance. Other |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Measuring indicators for marketing effectiveness in Czech companies
Milichovsky, Frantisek, (2015)
-
Forecasting of Stock Market Indices Using Artificial Neural Network
Desai, Dr.Jay, (2013)
-
Toward Better Measurement of Financial Performance : A Robust OEVA-TEVA Alternative to Biased EVA
Ibragimov, Rauf, (2019)
- More ...
-
Profiles. The Way MA Students Perceive Professional Accountants and Managers
Bogdan, Victoria, (2016)
-
THE RELEVANCE OF PSYCHOLOGY THEORIES TO FINANCIAL ACCOUNTING
Bogdan, Victoria, (2009)
-
The relevance of psychology theories to financial accounting
Bogdan, Victoria, (2009)
- More ...