STRATEGY OF STOCK VALUATION BY FUNDAMENTAL ANALYSIS
Suzana Baresa,
Sinisa Bogdan and
Zoran Ivanovic
UTMS Journal of Economics, 2013, vol. 4, issue 1, 45-51
Abstract:
Common stock valuation presents one of the most complex tasks in financial analysis. When it attempts to answer on question: „what causes stock price movements? “Then the answer would not relate only on economic factors. There are numerous factors that affect the stock price and they are almost impossible to predict. As one of the best ways to fight against many factors that make the uncertainty, arises fundamental analysis. Fundamental analysis is one of the most widely used methods for estimating price movements of securities which essentially analyses the impact of micro and macro-economic factors on the business of the corporation in order to predict future economic and financial effects. Fundamental analysis also examine various financial statements with the aim to asses a real value of company's stock. This work has the task to systematize knowledge about fundamental analysis, so it can serve as a good base for future research.
Keywords: fundamental analysis; financial indicators; intrinsic value; discount models; stocks (search for similar items in EconPapers)
JEL-codes: G10 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://utmsjoe.mk/files/Vol.%204%20No.%201/1-5-B-Baresa-Bogdan-Ivanovic.pdf Full text (application/pdf)
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:ris:utmsje:0066
Access Statistics for this article
UTMS Journal of Economics is currently edited by Prof. Ace Milenkovski, PhD
More articles in UTMS Journal of Economics from University of Tourism and Management, Skopje, Macedonia Contact information at EDIRC.
Bibliographic data for series maintained by Assistant Professor. Dejan Nakovski, PhD ().