Neural network applications in finance: A review and analysis of literature (1990–1996)
Information & ManagementPublished 1 October 1998
Bo K. Wong, Yakup Selvı
Citations244
SJR quartileQ1
SJR score2.92
SNIP2.74
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TL;DR
The trend of published applications for the period 1990–1996 is investigated and implications to neural networks developers/researchers and suggestions on future research are discussed.
Abstract
The field of neural network technology has been extensively studied in the last decade. This has led to considerable research on its use in various scientific applications and to the development of a diverse range of business applications. Consequently, an increasing amount of application efforts have concentrated on their development in the finance sector. In this paper, we investigated the trend of published applications for the period 1990–1996. The literature was examined according to (1) year of publication, (2) application area, (3) problem domain, (4) decision process phase, (5) level of management, (6) level of task interdependence, (7) means of development, (8) corporate/academic interaction in development, (9) technology/statistical technique integration, and (10) comparative study. Implications to neural networks developers/researchers and suggestions on future research are discussed.
Keywords
Computer ScienceDecision SciencesBusiness, Management and Accounting
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