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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
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Applications of adaptive neuro-fuzzy inference system and artificial neural network in inventory level forecasting
Paul, Sanjoy Kumar; Azeem, Abdullahil; Ghosh, Abhishek Kumar - In: International journal of business information systems : … 18 (2015) 3, pp. 268-284
Persistent link: https://www.econbiz.de/10011326590
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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
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Neural networks and betting strategies for tennis
Candila, Vincenzo; Palazzo, Lucio - In: Risks : open access journal 8 (2020) 3/68, 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/10012293119
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Methods of estimating waste accumulation rate in rural areas of the Lubelskie Voivodship
Szul, Tomasz; Nęcka, Krzysztof - In: Barometr regionalny : analizy i prognozy 14 (2016) 2, pp. 165-171
Persistent link: https://www.econbiz.de/10011577246
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A new approach for Baltic Dry Index forecasting based on empricial mode decomposition and neural networks
Zeng, Qingcheng; Qu, Chenrui; Ng, Koi Yu Adolf; Zhao, … - In: Maritime economics & logistics : a quarterly scientific … 18 (2016) 2, pp. 192-210
Persistent link: https://www.econbiz.de/10011586589
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A hybrid ARIMA-ANN approach for optimum estimation and forecasting of gasoline consumption
Babazadeh, Reza - In: RAIRO / Operations research 51 (2017) 3, pp. 719-728
Persistent link: https://www.econbiz.de/10011858782
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Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models
Kumar, Manish; Thenmozhi, M. - In: International Journal of Banking, Accounting and Finance 5 (2014) 3, pp. 284-308
ARIMA-SVM model is the best forecasting model to achieve high forecast accuracy and better returns. …
Persistent link: https://www.econbiz.de/10010888496
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Comparison of Linear and Nonlinear Models for Panel Data Forecasting: Debt Policy in Taiwan
Pao, Hsiao-Tien; Chih, Yao-Yu - In: Review of Pacific Basin Financial Markets and Policies … 08 (2005) 03, pp. 525-541
capital structure of their firms. The results of comparing the out-of-sample forecasting capabilities of the two methods … method is the more appropriate one between the two methods to be applied to build a forecasting model for the high tech …
Persistent link: https://www.econbiz.de/10005080737
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Synergy of chaos theory and artificial neural networks in chaotic time series forecasting
Ardalani-Farsa, Muhammad; Zolfaghari, Saeed - In: International Journal of Applied Management Science 3 (2011) 2, pp. 121-142
forecasting methods. …
Persistent link: https://www.econbiz.de/10009352542