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• W2144906176 abstract "AboutSectionsView PDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked InEmail Go to Section HomeInterfacesVol. 31, No. 4 An Analysis of the Applications of Neural Networks in FinanceAdam Fadlalla, Chien-Hua LinAdam Fadlalla, Chien-Hua LinPublished Online:1 Aug 2001https://doi.org/10.1287/inte.31.4.112.9662AbstractOver the last 10 years, neural networks have been increasingly applied to various areas of finance. Neural networks are more often applied on the assets side than on the liabilities side of the balance sheet. Some major characteristics of the areas of these applications are their data intensity, unstructured nature, high degree of uncertainty, and hidden relationships. Most of the applications use the backpropagation model with one hidden layer. In most of these applications, neural networks out-performed traditional statistical models, such as discriminant and regression analysis. Furthermore, these applications have shown significant success in financial practice, for example, in forecasting T-bills, in asset management, in portfolio selection, and in fraud detection. 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Interfaces 31(4):112-122. https://doi.org/10.1287/inte.31.4.112.9662 KeywordsDECISION ANALYSIS—APPLICATIONSFINANCE—APPLICATIONSNEURAL NETWORKSPDF download" @default.
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