Faculty Advisor

Radzicki, Michael J

Abstract

With the number of Initial Public Offerings (IPOs) issued rapidly increasing, there is more potential in developing successful trading strategies for IPOs. This Major Qualifying Project (MQP) uses characteristics of IPOs such as the greenshoe option in a combination with trading strategies for stocks in order to develop a strategy for trading IPOs. For this purpose the team used historical stock market data extracted from the TradeStation trading platform. An analysis of these data was made using a neural net program called Braincel. The program was used to form predictions on whether a stock's price would increase a certain level from an initial point. The predictions together with good money management resulted in a trading strategy with high potential.

Publisher

Worcester Polytechnic Institute

Date Accepted

October 2007

Major

Industrial Engineering

Major

Economics

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Social Science and Policy Studies

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