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Modeling the Standard and Poor's 500 Index via Wave Analytics: Harnessing Lag for Intraday Utilizations
| Title: | Modeling the Standard and Poor's 500 Index via Wave Analytics: Harnessing Lag for Intraday Utilizations. |
 30 views 13 downloads |
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| Name(s): |
Cardenas, John, Author Morrow, Patricia Bockelman, Committee Chair Kaup, David, Committee Member Akbas, Mustafa, Committee Member University of Central Florida, Degree Grantor |
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| Type of Resource: | text | |
| Date Issued: | 2018 | |
| Publisher: | University of Central Florida | |
| Language(s): | English | |
| Abstract/Description: | 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. | |
| Identifier: | CFE0007394 (IID), ucf:52055 (fedora) | |
| Note(s): |
2018-05-01 M.S. Engineering and Computer Science, Dean's Office GRDST Masters This record was generated from author submitted information. |
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| Subject(s): | 04/06/2018 | |
| Persistent Link to This Record: | http://purl.flvc.org/ucf/fd/CFE0007394 | |
| Restrictions on Access: | campus 2019-11-15 | |
| Host Institution: | UCF |
