DocumentCode
3310270
Title
Predicting short and long term financial trends
Author
Guggenheimer, H.
Author_Institution
Polytech. Univ., West Hempstead, NY, USA
fYear
1991
fDate
9-11 Oct 1991
Firstpage
58
Lastpage
59
Abstract
For short term predictions of trends in financial statistical data, the author shows the connection between using back data and differentiability assumptions and uses the theory to present new trend extrapolation schemes. For long term prediction, Keynes´s fundamental equations are formulated in a mathematically acceptable manner and its shown how to use these equations to model economic development
Keywords
economics; finance; forecasting theory; statistical analysis; back data; differentiability assumptions; economic development; financial statistical data; fundamental equations; long term financial trends; long term prediction; mathematically acceptable manner; short term predictions; trend extrapolation schemes; Computer crashes; Differential equations; Earth; Economic forecasting; Extrapolation; Mathematical model; Mathematics; Partial differential equations; Predictive models; Quantum mechanics;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence Applications on Wall Street, 1991. Proceedings., First International Conference on
Conference_Location
New York, NY
Print_ISBN
0-8186-2240-7
Type
conf
DOI
10.1109/AIAWS.1991.236573
Filename
236573
Link To Document