Development of financial theory and practice under the influence of Big Data

The article analyzes the driving forces and directions for the restructuring of financial theory, econometrics, financial mathematics and financial practices due to the emergence of ultra-high-speed trade associated with extremely large data. Modern concepts and models show and explain the significant diversity in the behavior of financial intermediaries and regulators in the market. However, they do not give a satisfactory answer to the question of how to manage modern data, why there is no possibility of their full formalization and how to cope with the tasks of managing the financial sphere in the conditions of a sharp increase in the information.
The article examines a peculiar crisis of financial science and econometrics. It is based on the inability of old methods to conduct financial calculations of modern data and analyze rapidly changing information. It is shown that overcoming the crisis is possible in the direction of the development of new financial technologies and computational methods, as well as the construction of new model series that allow to take into account ultra-high-speed flows of extremely large data and carry out complex work with them.