2008
DOI: 10.1016/j.eswa.2007.05.012
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Expert systems and evolutionary computing for financial investing: A review

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Cited by 58 publications
(20 citation statements)
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“…Turning to the individual LO level, our results suggest that defensive loan assessment behaviour may occur because of difficulties to make sense of and transmit soft information, and a tendency to avoid situations where individual mistakes might occur. While these difficulties with soft information are firmly supported in previous financial sector research (Rada, 2008;Udell, 2008;Liberti & Mian, 2009) and in research from other contexts (e.g., Jönsson & Grönlund, 1988;McSweeney, 1996, Chua, 1996Boland & Schultze, 1996), our findings suggest that sensemaking difficulties may cause defensive loan assessment behaviour. The results also illustrate how an individual LO can be affected by "a slap on the wrist" from bank management or the credit committee.…”
Section: Discussionmentioning
confidence: 56%
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“…Turning to the individual LO level, our results suggest that defensive loan assessment behaviour may occur because of difficulties to make sense of and transmit soft information, and a tendency to avoid situations where individual mistakes might occur. While these difficulties with soft information are firmly supported in previous financial sector research (Rada, 2008;Udell, 2008;Liberti & Mian, 2009) and in research from other contexts (e.g., Jönsson & Grönlund, 1988;McSweeney, 1996, Chua, 1996Boland & Schultze, 1996), our findings suggest that sensemaking difficulties may cause defensive loan assessment behaviour. The results also illustrate how an individual LO can be affected by "a slap on the wrist" from bank management or the credit committee.…”
Section: Discussionmentioning
confidence: 56%
“…Our results suggest that existing loan assessment routines begin with the use of hard information, which can be processed in the control and support system (cf. Rada, 2008;Udell, 2008; see also Boland, 1979). The LOs are accountable to the bank and the credit committee and may prefer to make their case concerning a loan application based on information which is perceived to be "factual" (e.g., McSweeney, 1996).…”
Section: Discussionmentioning
confidence: 99%
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“…Rada 34 conducted a comprehensive literature review of expert systems, which have been applied in this certain area. Among all types of expert systems, neuro-fuzzy systems, specially ANFIS, have been widely used for financial time series prediction problems.…”
Section: Datamentioning
confidence: 99%