Application and Optimization of Data Analysis in Investment Risk Assessment
DOI:
https://doi.org/10.71222/8qme7p37Keywords:
data analysis, investment risk assessment, application and optimizationAbstract
With the rapid development of financial market, investment risk assessment has become more and more complex, and traditional risk assessment methods are gradually difficult to meet the needs of efficient and accurate prediction. As a core tool in the modern financial field, data analysis can effectively improve the accuracy and timeliness of investment risk assessment. This paper first classifies investment risks, including market risk, credit risk, liquidity risk and operational risk. Then it discusses the specific application of data analysis in various risk assessment, such as market data analysis, big data and sentiment analysis. Finally, it focuses on how to optimize the risk assessment process through a multi-factor model, machine learning and other technologies, so as to improve the scientific rigor and effectiveness of investment decisions.
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