Research on the Application of Computer Big Data Artificial Intelligence Technology in Financial Institutions' Digital Sensitivity Analysis Economic Risk Model

Abstract

This paper uses a risk factor model to construct a joint distribution of returns on major risk exposures of financial institutions. This paper also examines the sensitivity of the overall risk of the study to changes in the financial business portfolio and changes in risk correlations. The author mainly introduces VaR, ES and ARMA, the quantitative risk analysis methods widely recognized by the financial industry recently. A measure of the overall risk of a financial institution in terms of returns. At the same time, the sensitivity of different risk measurement tools to changes in financial business portfolio and changes in risk correlation.