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New contents and perspectives in the risk analysis of enterprises
Falavigna, Greta - In: International Journal of Business Performance Management 10 (2008) 2/3, pp. 136-173
This paper presents a survey of techniques used for default risk analysis and it illustrates the reasons why a large number of researchers study the insolvency of firms. Firstly, there is an introduction on Basel II focusing on the first pillar and the new standards dictated by the New Basel...
Persistent link: https://www.econbiz.de/10010669360
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Forecasting foreign exchange rates using artificial neural networks: a trader's approach
Stokes, Adam; Abou-Zaid, Ahmed S. - In: International Journal of Monetary Economics and Finance 5 (2012) 4, pp. 370-394
This study investigates the use of two different types of the Artificial Neural Networks (ANNs), Feed-Forward (FF … the US dollar against the three major currencies: the Euro, the Pound and the Yen. Although the ANNs technique is not very … prediction than those of the standard econometric techniques such as ARMA. ANNs are, in fact, capable of dealing with high …
Persistent link: https://www.econbiz.de/10010669732
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Evaluation of artificial neural networks as a model for forecasting consumption of wood products
Tigas, Giorgos; Lefakis, Panagiotis; Ioannou, Konstantinos - In: International Journal of Data Analysis Techniques and … 5 (2013) 1, pp. 38-48
has been used, known as artificial neural networks (ANNs). In order to forecast the necessary future volumes of timber in …
Persistent link: https://www.econbiz.de/10010669735
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Pricing Chinese warrants using artificial neural networks coupled with Markov regime switching model
Liu, David; Zhang, Lei - In: International Journal of Financial Markets and Derivatives 2 (2011) 4, pp. 314-330
A non-parametric valuation framework (ANN-MRS) using artificial neural networks for pricing financial derivatives has been developed whilst the volatility of underlying asset return dynamics are modelled by Markov regime switching model. Its immediate application is on pricing of the Chinese...
Persistent link: https://www.econbiz.de/10010670188
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Comparison between artificial neural network and linear model prediction performance for FDI disparity and the growth rate of companies in Hungarian counties
Singh, Devesh - In: International journal of business information systems : … 43 (2023) 4, pp. 542-552
Persistent link: https://www.econbiz.de/10014336898
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Comparison of performance prediction of solar water heaters between Artificial Neural Networks and conventional correlations
Razavi, J.; Riazi, M.R.; Raoufi, F.; Sadeghi, A. - In: International Journal of Global Energy Issues 31 (2009) 2, pp. 122-131
The aim of this study was to develop a predictive method for heat transfer coefficients in solar water heaters and their performance evaluation of such heaters with different materials used as heat collectors. Two approaches have been used: conventional method and an Artificial Neural Network...
Persistent link: https://www.econbiz.de/10008539033
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Forecasting of commercial energy consumption in India using Artificial Neural Network
Jebaraj, S.; Iniyan, S.; Kota, Hemanth - In: International Journal of Global Energy Issues 27 (2007) 3, pp. 276-301
The forecasting of energy consumption is essential for any country to study the future energy demand and to introduce the necessary government policies. This paper presents the formulation of forecasting models based on the Artificial Neural Network (ANN) for the consumption of conventional...
Persistent link: https://www.econbiz.de/10008539277
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The relationship between market sentiment and equity premium: an artificial neural network analysis
Hassan, Nik R.; Wong, Shee Q. - In: International Journal of Electronic Finance 2 (2008) 2, pp. 227-240
This study explores whether market sentiment is significantly related to equity premium levels using the Artificial Neural Network (ANN) framework with both the Conference Board CCI and the Michigan Consumer Sentiment Index (CSI) as market sentiment proxies. Contrary to several studies, our...
Persistent link: https://www.econbiz.de/10008539426
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Comparison of performance prediction of solar water heaters between Artificial Neural Networks and conventional correlations
Razavi, J.; Riazi, M.R.; Raoufi, F.; Sadeghi, A. - In: International Journal of Global Energy Issues 31 (2009) 2, pp. 122-131
The aim of this study was to develop a predictive method for heat transfer coefficients in solar water heaters and their performance evaluation of such heaters with different materials used as heat collectors. Two approaches have been used: conventional method and an Artificial Neural Network...
Persistent link: https://www.econbiz.de/10005048710
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Forecasting of commercial energy consumption in India using Artificial Neural Network
Jebaraj, S.; Iniyan, S.; Kota, Hemanth - In: International Journal of Global Energy Issues 27 (2007) 3, pp. 276-301
The forecasting of energy consumption is essential for any country to study the future energy demand and to introduce the necessary government policies. This paper presents the formulation of forecasting models based on the Artificial Neural Network (ANN) for the consumption of conventional...
Persistent link: https://www.econbiz.de/10005751787