Predicting financial performance for listed companies in Thailand during the transition period : a class-based approach using logistic regression and random forest algorithm
Year of publication: |
2023
|
---|---|
Authors: | Pornpawee Supsermpol ; Huynh, Van-Nam ; Suttipong Thajchayapong ; Navee Chiadamrong |
Published in: |
Journal of open innovation : technology, market, and complexity. - Basel : MDPI, ISSN 2199-8531, ZDB-ID 2832108-X. - Vol. 9.2023, 3, Art.-No. 100130, p. 1-16
|
Subject: | Financial performance | Initial Public Offering | Internal capability | Logistic regression | Predictive model | Random forest | Unternehmenserfolg | Firm performance | Regressionsanalyse | Regression analysis | Prognoseverfahren | Forecasting model | Thailand | Börsengang | Initial public offering | Forstwirtschaft | Forestry |
-
Barboza, Flavio Luiz de Moraes, (2024)
-
Do data mining techniques assist auditors in predicting high-risk accounts in MENA Region countries?
Mohamed, Wafaa Salah, (2023)
-
Ming, Chen, (2016)
- More ...
-
Investigating business model innovation for sustainability : cases from Thailand
Janthorn Sinthupundaja, (2020)
-
Janthorn Sinthupundaja, (2020)
-
Simulation of retail supply chain behaviour and financial impact in an uncertain environment
Kamolwon Cha-ume, (2012)
- More ...