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Stock Market Causal High Pass Filter Model
written by Matthew Mohorn
One application of econophysics is the use of high pass filters to analyze stock market data. To determine how fast the market is moving, the Stock Market Causal High Pass Filter Model uses a technique known as causal high pass filters to estimate market velocity and acceleration.  Different order indicators are presented in this model, and the user can study the sensitivity and accuracy of the various indicators.

Please note that this resource requires at least version 1.6 of Java (JRE).
1 source code document is available
Subjects Levels Resource Types
Mathematical Tools
- Numerical Analysis
- Statistics
- Upper Undergraduate
- Lower Undergraduate
- Instructional Material
= Simulation
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Access Rights:
Free access
License:
This material is released under a GNU General Public License Version 3 license.
Rights Holder:
Matthew Mohorn
Keyword:
econophysics
Record Cloner:
Metadata instance created April 15, 2013 by Wolfgang Christian
Record Updated:
June 12, 2014 by Andreu Glasmann
Last Update
when Cataloged:
April 15, 2013
ComPADRE is beta testing Citation Styles!

Record Link
AIP Format
M. Mohorn, Computer Program STOCK MARKET CAUSAL HIGH PASS FILTER MODEL (2013), WWW Document, (https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12719&DocID=3277).
AJP/PRST-PER
M. Mohorn, Computer Program STOCK MARKET CAUSAL HIGH PASS FILTER MODEL (2013), <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12719&DocID=3277>.
APA Format
Mohorn, M. (2013). Stock Market Causal High Pass Filter Model [Computer software]. Retrieved October 8, 2024, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12719&DocID=3277
Chicago Format
Mohorn, Matthew. "Stock Market Causal High Pass Filter Model." https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12719&DocID=3277 (accessed 8 October 2024).
MLA Format
Mohorn, Matthew. Stock Market Causal High Pass Filter Model. Computer software. 2013. Java (JRE) 1.6. 8 Oct. 2024 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12719&DocID=3277>.
BibTeX Export Format
@misc{ Author = "Matthew Mohorn", Title = {Stock Market Causal High Pass Filter Model}, Month = {April}, Year = {2013} }
Refer Export Format

%A Matthew Mohorn %T Stock Market Causal High Pass Filter Model %D April 15, 2013 %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12719&DocID=3277 %O application/java

EndNote Export Format

%0 Computer Program %A Mohorn, Matthew %D April 15, 2013 %T Stock Market Causal High Pass Filter Model %8 April 15, 2013 %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=12719&DocID=3277


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Stock Market Causal High Pass Filter Model:

Is Based On Easy Java Simulations Modeling and Authoring Tool

The Easy Java Simulations Modeling and Authoring Tool is needed to explore the computational model used in the Causal High Pass Filter Model.

relation by Wolfgang Christian

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