Exploring intelligent strategies for economic stability and sustainable growth

Abstract

Since the year 2000, the rapid development of IT infrastructure has resulted in large-scale cross-border capital flows, wide-ranging expansion of types of capital, and dynamic development of the global economy. In a dynamic market economy, high volatility and rapid structural changes in economic and financial systems are inevitable

thus, the global economy has frequently been in crisis during this period. The purpose of this study is to promote the stability of economic and financial systems by suggesting a strategy for sustainable growth of the future economy. First, my study evaluates the stability of virtual currencies such as block chain and AI, which have recently been at the center of the Fourth Industrial Revolution. Further, it analyzes both the growth and crisis caused by capital flows in the global financial system from a holistic perspective and accurately forecasts future economic situations from various angles using machine learning techniques. In particular, my study provides an efficient strategy for minimizing the possibility of crisis caused by the economic shock of COVID-19 and ideas for rapid recovery from such crises.