Show simple item record

dc.contributor.authorBernstein, Jordan 19:50:59 (GMT) 19:50:59 (GMT)
dc.descriptionThe Independent Studies program closed in 2016. This thesis was one of 25 accepted by Library for long-term preservation and presentation in UWSpace.en
dc.description.abstractIn contradiction with much conventional economic theory, this thesis argues that successful short-term forecasting is both possible and practicable. Beginning with the assumption, and widely-held belief, that there are patterns to be discovered in the stock market, the thesis develops the Short-Term Forecasting Theory (STFT) to demonstrate how useful and accurate short-term forecasts might be achieved. In short, this thesis posits that, if short-term financial forecasting of an equity can be broken down to a mechanical procedure, the problem of short-term forecasting is reduced to the question of finding the proper tools for this procedure. This thesis presents two computing methods – fuzzy logic and neural networks – that, when combined, could serve as an appropriate tool for implementation.en
dc.publisherUniversity of Waterlooen
dc.relation.ispartofseriesIS 310, Thesis Phase Ien
dc.relation.ispartofseriesIS 320, Thesis Phase IIen
dc.subjectneural networksen
dc.subjectforecasting theoryen
dc.subjecteconomic theoryen
dc.subjectshort-term forecasting theoryen
dc.titleI Don't Care Whose Fault It Is! Or, An Introduction to the Short-Term Forecasting Theory, Implementing Fuzzy-logic and Neural Networksen
dc.typeBachelor Thesisen Studiesen Studiesen
uws-etd.degreeBachelor of Independent Studiesen
uws.contributor.advisorVetzal, Ken
uws.contributor.advisorPerez, Alonzo
uws.contributor.affiliation1Faculty of Artsen

Files in this item


This item appears in the following Collection(s)

Show simple item record


University of Waterloo Library
200 University Avenue West
Waterloo, Ontario, Canada N2L 3G1
519 888 4883

All items in UWSpace are protected by copyright, with all rights reserved.

DSpace software

Service outages