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Dynamic bankruptcy prediction models for european enterprises

Korol, Tomasz - In: Journal of risk and financial management : JRFM 12 (2019) 4/185, pp. 1-15

This manuscript is devoted to the issue of forecasting corporate bankruptcy. Determining a firm's bankruptcy risk is … dynamic bankruptcy prediction models for European enterprises. To conduct this objective, four forecasting models are …

Persistent link: https://www.econbiz.de/10012171279

Applying feature selection methods to improve the predictive model of a direct marketing problem

Tan, Ding-Wen; Sim, Yee-Wai; Yeoh, William - 2011

The ability to forecast job advertisement demands is vital to enhance the customer retention rate for recruitment companies. On top of that, it is uneconomical to cold call every individual on a regular basis for companies with a large pool of customers. This paper presents a novel approach in...

Persistent link: https://www.econbiz.de/10009483987

Applying feature selection methods to improve the predictive model of a direct marketing problem

Tan, Ding-Wen; Sim, Yee-Wai; Yeoh, William - 2011

Persistent link: https://www.econbiz.de/10009484039

Hybrid model of an expert system for assessing the stability of a production system

Burduk, Anna; Grzybowska, Katarzyna; Kovács, Gábor - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 14 (2018) 4, pp. 507-518

Persistent link: https://www.econbiz.de/10012153803

The use of a hybrid model of the expert system for assessing the potentiality of manufacturing the assumed quantity of wire harnesses

Burduk, Anna; Grzybowska, Katarzyna; Safonyk, Andrii - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 15 (2019) 4, pp. 459-473

Persistent link: https://www.econbiz.de/10012155446

Implementing artificial intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan

Korol, Tomasz; Fotiadis, Anestis K. - In: Oeconomia Copernicana 13 (2022) 2, pp. 407-438

Persistent link: https://www.econbiz.de/10013347079

Neural networks and betting strategies for tennis

Candila, Vincenzo; Palazzo, Lucio - In: Risks 8 (2020) 3, pp. 1-19

Recently, the interest of the academic literature on sports statistics has increased enormously. In such a framework, two of the most significant challenges are developing a model able to beat the existing approaches and, within a betting market framework, guarantee superior returns than the set...

Persistent link: https://www.econbiz.de/10013200601

Forecasting Nigerian stock market returns using ARIMA and artificial neural network models

Isenahd, Godknows M.; Olubusoye, Olusanya E. - In: CBN Journal of Applied Statistics 05 (2014) 2, pp. 25-48

The study reports empirical evidence that artificial neural network based models are applicable to forecasting of stock … the artificial neural network based models outperformed the ARIMA based model in forecasting future developments of the … can be used as predictors for forecasting future values of the stock market returns given that the returns has memory of …

Persistent link: https://www.econbiz.de/10011518784

Artificial neural networks for spot electricity price forecasting : a review

Vijayalakshmi, Sedidi; Girish, Godekere Panchakshara Murthy - In: International Journal of Energy Economics and Policy : IJEEP 5 (2015) 4, pp. 1092-1097

Persistent link: https://www.econbiz.de/10011456481

Forecasting Nigerian stock market returns using ARIMA and artificial neural network models

Isenahd, Godknows M.; Olubusoye, Olusanya E. - In: CBN journal of applied statistics 5 (2014) 2, pp. 25-48

Persistent link: https://www.econbiz.de/10011488820

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