Taking into account the current trends and opportunities in the financial markets of developing countries, the subject of the research is to analyse, test and quantify the impact of the holiday effect on the daily return rates from investing activities for the observed financial markets of Slovenia, Croatia and Hungary. The aim of the research is to gain a concrete, empirically tested and quantified knowledge of the capabilities and effectiveness of autoregressive conditional heteroscedasticity (A.R.C.H.) and generalized autoregressive conditional heteroscedasticity (G.A.R.C.H.) models, in order to quantify the impact of the holiday effect on the rates of return from investing activities in the observed financial markets. The time period covered by the research is 2003–2016, where the length of the research time horizon makes possible model effectiveness testing in the periods before, during and after the global financial crisis. The methodology also includes S.I.C.–A.I.C. (Schwarz and Akaike) model selection criteria and a number of tests suitable for or adapted to the specific characteristics of financial markets in developing countries. The research results confirm the role and importance of the application of econometric models in order to quantify the risks of investing activities in the financial markets of developing countries.

The aim of this paper is to investigate regional planning, which is a very important factor in the development of each country and region. This research contributes to the possibility of improving the living standards of citizens and contributes to more complete and comprehensive study of some important legal and economic issues that may arise in connection with the growing role of regional planning in the economic and economic system of each region. The paper presents the concept of regional planning, as well as theories and models that can be applied in planning and that can give the best economic effects, depending on its characteristics and specifics. At the end of the paper, a conclusion indicates that regional planning is a necessary instrument for further development of each region, which represents an opportunity for employment of citizens and raising the level of their wellbeing.

The subject of the research is to analyze the methods of fundamental and technical analysis of HoV on the companies quoted in the Belex index 15. The aim of the research is to create a pool of specific information, tested in practice, on the possibilities of improving efficient portfolio management with a special focus on optimal selection of techniques and the method of fundamental and technical analysis of HoV. The fundamental analysis of securities is a method of examining economic, political and social indicators of national economy in an attempt to forecast the future trends on the financial market. Differently from the fundamental method, the technical analysis examines historical and actual data on prices and the volume aimed at forecasting the market activities in the future period. Therefore, historical data on prices make the basis and are most frequently used in technical analysis. There are numerous methods of both fundamental analysis and technical analysis and this paper suggests that the use of solely one technique cannot provide results that are satisfactory and sufficient for managing a portfolio of securities efficiently. Methodology used in the research comprises methods of analysis, synthesis, explorative and inductive- deductive techniques. Due to numerous information that could be obtained by using all of the methods and techniques, this paper presents an optimal combination of indicators of technical and fundamental analysis, as a means to efficient portfolio management. In order to apply an optimal set of fundamental and technical analysis indicators, in this paper we have used a sample of companies extracted from the Index basket that comprises 15 most liquid shares traded on the Belgrade Stock Exchange (BSE) in addition to the Belex15 Index, which describes price movements of the most liquid Serbian shares, and which is positioned as the leading index of the Belgrade Stock Exchange and calculated in real time. The research results will be useful to the academic community for further research in the field, as well as to institutional and individual investors in the function of creating a set of instruments geared towards efficient trading with HoV.

The subject of this research is to analyze and test the modified GARCH methodology in terms of quantifying the impact of inflation rates, interest rates on government bonds, reference interest rates, and exchange rates on daily rates of return on investment activities in the observed financial markets of North America, Serbia and Croatia. The aim of the research, i.e. a special focus in the research, is to compare the obtained results between the developed financial markets and the financial markets of developing countries, as well as to test the modified GARCH methodology in the observed financial markets. The key indicators in the research, presumed to affect the daily return rates, were the following: inflation rate, interest rates on government bonds, reference interest rate and exchange rate. The time period covered by the research is from 2005 to 2017, where the width of the research time horizon allows testing the modified GARCH methodology in the periods before, during and after the global financial crisis. In addition to the use of modified GARCH econometric models, the research methodology includes the use of AIC, SIC and HQC (Akaike, Schwarz and Hannan-Quinn) criteria for selecting the best models, as well as the appropriate tests that are suitable for and/or adapted to the specific characteristics of financial markets of both developed and developing countries. The research results confirm the role and importance of the modified GARCH methodology for effective investment risk quantification in developed financial markets versus the financial markets of developing countries. In this sense, the obtained research results will be useful to both the academic community and the professional public in the context of investment decision making.

Taking into account the current trends in the domestic financial market, the subject of this research is the analysis, testing and quantification of the inflation rate impact on the daily share returns of the real sector companies in AP Vojvodina. The aim of the research is to generate concrete, practically tested and quantified knowledge about the possibilities and efficiency of the GARCH models application to quantify the inflation rate impact on the share returns of the observed companies. The period covered by the survey is from 2006 to 2016 and it includes the real sector companies of AP Vojvodina whose shares are quoted within the stock exchange index BELEXline. The research results show the exact correlation between the daily return rates of the observed companies and the financial risk factor - the inflation rate. The results also show a positive impact of the variable inflation rate on the returns of companies NIS a.d (0.013876), Sojaprotein a.d (0.019167) and Vital a.d (0.051056), and a negative impact on the returns of the company Veterinary Institute a.d (-0.000183). The research results confirm the role and significance of the application of econometric models in order to quantify financial risk factors of returns from investment activities in the real sector companies of AP Vojvodina.

This paper analyzes the impact of internal rating and scoring model with the aim of assessing the credit solvency of firms during the process of bank crediting and the assessment of the future repayment behavior. The bank assesses the credit risk based on the qualitative and quantitative criteria taking into consideration certain characteristics of firms, thus ensuringa clear ranking withinan appropriate risk category according to the collection rate. The internal rating represents a starting point for determining the credit risk rate of firms and a check of credit solvency, whereas scoring is a system of assigning points, the sum of which shows the quantitative value of the probability of delay in credit repayment. It will be shown in the papers that the combination of qualitative and quantitative criteria, while developing the internal rating and scoring of firms, is aimed at an improved assessment of credit standing, which reduces.