FORECASTING, VALUATION AND PORTFOLIO RETURNS OF STOCK MARKET EVOLUTION: PROBLEMS, PARADOXES AND EFFICIENT INFORMATION. WORLDWIDE IMPLICATIONS AND ROMANIAN EVIDENCE

Author:

Turcaș Florin1,Dumiter Florin Cornel2,Brezeanu Petre1,Boiță Marius2

Affiliation:

1. Faculty of Finance and Banking, Bucharest Academy of Economic Studies, Bucharest, Romania

2. Faculty of Economics, Engineering and Informatics,”Vasile Goldiș” Western University of Arad, Arad, Romania

Abstract

The purpose of this paper is to make a quantitative and qualitative critical analyse regarding the three important aspects of stock market evolution. First, the forecasting problems are presented and analyse in order to establish the main problems and the potential solutions. Second, the valuation problems are tackled in order to observe different trends and directions of solving these issues. Third, the portfolio return forecasts are mandatory in order to establish the results of the titles/market evolutions. The methods used in this research reveal the importance of adopting some important econometric tools in order to test the robustness of different main theories of the stock market and some important practices used among investors. The scope of the research was to give a quid pro quo in order to confer potential solutions regarding problems, paradoxes and efficient information of the stock market. The empirical results reveal that besides the critical side of the theories this paper sets a basis for a new eclectic approach regarding the probabilities that a title achieves certain values within a reasonable time frame. The main conclusion of this article suggests’ that the current theories register some gaps regarding the adherence into stock markets’ realities.

Publisher

Vilnius Gediminas Technical University

Subject

Economics and Econometrics,Business, Management and Accounting (miscellaneous)

Reference72 articles.

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4. Anghel, D.G. (2017). Intraday market efficiency for a typical Central and Eastern European stock market. Romanian Journal of Economic Forecasting, XX(3), 88-109. Retrieved from http://www.ipe. ro/rjef/rjef3_17/rjef3_2017p88-109.pdf

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