A METHODOLOGY FOR TREND ANALYSIS OF STOCK EXCHANGE ACTIVITIES, BASED ON INDICATOR SIGNALS AND FREQUENCY VOLATILITY
Stefan Simeonov
Additional contact information
Stefan Simeonov: D. A. Tsenov Academy of Economics
Economics 21, 2017, issue 1 Year 2017, 21-39
Abstract:
Different technical and statistical methods and indicators which are usually applied separately are used in market trend analysis. Some of the fundamental principles in technical analysis, as well as a great part of the quantitative indicators are not popular enough. There are unsettled issues regarding the change in the information indicators during the market trend and one can find unexploited potential in the analytical methods, which sets up a necessity for a more thorough and comprehensive study of the primary exchange indicators. Therefore, we propose a comprehensive methodology of market trend analysis, which integrates the signal functions of exchange indicators, statistical variation and frequency volatility by specifying their change throughout the market phases.
Keywords: stock exchange trend analysis; market trend phases; investment activities; stock exchange indicators; signal functions; frequency volatility; coefficient of dynamics (search for similar items in EconPapers)
JEL-codes: G12 G14 G17 (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
http://hdl.handle.net/10610/3257
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:dat:econ21:y:2017:i:1:p:21-39
Access Statistics for this article
Economics 21 is currently edited by Ivan Varbanov
More articles in Economics 21 from D. A. Tsenov Academy of Economics, Svishtov, Bulgaria Contact information at EDIRC.
Series data maintained by Kostadin Bashev ().