Neural Networks Economic Financial Modelling

A.I. learned financial modeling
Enterprise Financial Model Enterprise Financial Model is a simple tool The holy grail for certain financial analysts is to be able to develop a comprehensive economic model that will take-in massive amounts of data and improve their odds at making forecasts. In order for this models to be meaningful we must enter the world of AI. Neural networks, genetic algorithms and extensive data mining are some of the tools needed to build such a daunting application. Typically it is very expensive to develop something meaningful, but there are some alternative options out there for the serious individual investor. Recently I found an application called RapidMiner which seems to be very powerful, modular and Open Source. I am currently trying to figure it out and brushing up my XML & JAVA in order to understand some of the concepts. It is very interesting, for example you can feed it data from TraderXL in order to construct your models.
Although it is not very encouraging that Goldman Sachs darling, the Global Alpha fund(9 billion) which trades are determined by computers and mathematical models, is down 16% for the year last time I checked, I have faith that computer modeling is a valuable tool for conducting meaningful forecasting.

Source: Tekhnokratic Junkie

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2001-06-13 12:10:13 by datamouse

An article in Rolling Stone (October 20, 1994) by Adam Miller called J. Philippe Rushton a 'professor of hate,' someone who 'takes money from an organization with a terrible past' (the Pioneer Fund, a foundation said to have an orientation toward eugenics). He is accused of being 'obsessed with intelligence and genetics' to the point of having 'racist' attitudes by Jeffrey Rosen and Charles Lane in The New Republic symposium on IQ (October 31, 1994). They single out Rushton for linking ethnocentricism to genetic factors; this in turn subjects him to the broad brush of being, along with Richard J. Herrnstein and Charles Murray, 'Neo-Nazis' Newsweek (October 24, 1994). In The Chronicle of Higher Education (October 26, 1994) critiquing Herrnstein and Murray's The Bell Curve it is clear...

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