Abstract:

Preventing future global financial crises is an ongoing process. Global financial crises can stem from small domestic situations or from widespread international crises and wars that span entire regions of the world, as in the 1997-1998 Asian crisis. They can be triggered by excessive credit growth, collapses due to investment bubbles, unsustainable national budget deficits, speculative attacks on fixed stock prices, maintained at insolvent levels, cash withdrawals, foreign currency deficits, morale crises, chaotic government debt management, or other causes.

The methodology of teaching mathematics and econometrics at our university includes mandatory work with specialized software packages such as Matlab and R language. Students are trained to work with these software using real practical data. The training is carried out with more emphasis on practical training and less on theory. In the discipline of financial econometrics, students study various static and dynamic methods for analysis of financial risk and bank stability.
The exercises are performed with software packages. Our main thesis is that students need to know how to use mathematical formulas in practice.

In this report will be presented our experience in the field of financial education at South-West University "Neofit Rilski". We will present our experience with the use of software packages such as Matlab and the R language. Our thesis is that students should be able to work with real data and learn to analyze and be able to predict future cataclysms in this area.

In this report we will also be presented a project on "ANALYSIS OF THE MAIN INDICATORS AND REGULATORS FOR BANKING ACTIVITIES IN THE REPUBLIC OF BULGARIA", funded by the Research Fund Bulgaria. The purpose of this study is to conduct an in-depth study of the theoretical and methodological aspects of financial accounting and supervision of capital and capital adequacy and to conduct a practical study of the levels of capital adequacy of commercial banks in Bulgaria for the period 1999 - 2021. Examples of analysis of time series of real data from the Bulgarian banking system analyzed with Matlab and R language will be presented. We will also give a brief overview of the various methods of financial crisis analysis that we use in our training.
The main conclusion in the introduction of modern software packages for financial analysis is that students are open to new technologies. They very quickly start installing the proposed software on their mobile phones and can do research regardless of place and time.

Keywords:

finance, teaching methods, Matlab, R language.