Abstract
Modeling and simulation of financial instruments is accomplished from multiple approaches but most completely from an engineering perspective. Aeronautical engineering yields a wave model created for stock indices in the 1970s. This comprehensive methodology models stock markets as waves for the intention of trading or investing yet has not been applied on time periods smaller than daily or weekly, known as intraday. Stakeholders trading intraday waves need to utilize wave analysis for price capture, analytics, and profitability. It is the purpose of this thesis to present a model to harness wave analytics for the needs of traders seeking price capture of the Standard and Poor's 500 Index on an hourly and minute time periods, or intraday. This paper applies wave analytics in time frames never accomplished before for the sufficing the needs of index day traders.
Notes
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Graduation Date
2018
Semester
Spring
Advisor
Morrow, Patricia Bockelman
Degree
Master of Science (M.S.)
College
College of Engineering and Computer Science
Degree Program
Modeling and Simulation
Format
application/pdf
Identifier
CFE0007394
URL
http://purl.fcla.edu/fcla/etd/CFE0007394
Language
English
Release Date
November 2019
Length of Campus-only Access
1 year
Access Status
Masters Thesis (Open Access)
STARS Citation
Cardenas, John, "Modeling the Standard and Poor's 500 Index via Wave Analytics: Harnessing Lag for Intraday Utilizations" (2018). Electronic Theses and Dissertations. 6253.
https://stars.library.ucf.edu/etd/6253