Abstract
The present pandemic COVID-19 has resulted in global challenges, economic and healthcare crises, and posed spillover impacts on the global industries, including tourism and travel that the major contributor to the service industry worldwide. The tourism and leisure industry has faced the COVID-19 tourism impacts hardest-hit and lies among the most damaged global industries. Changes in the market of travel services in the world in terms of the pandemic were reasonably expected to move in the negative direction. On the other hand, the diversification of capital markets allows leading companies successfully to maneuver in the midst of this range of negative factors. The article deals with a number of cases to explain this mechanism. The optimal diversified portfolio in the field of tourism is identified as a result of such analysis. On the base of created portfolio, the tendencies of price stabilization in the market of this type of services were revealed. The article uses a wide range of Python packages, machine learning tools and Fama-French modeling.
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