艺术品投资策略与大数据风险评估模型构建

Art Investment Strategy and Construction of Big Data Risk Assessment Model

文章通过对艺术品市场特征和投资优势与劣势的分析,结合金融投资领域对大数据的应用,探讨艺术品投资策略与大数据风险评估模型构建的关系,构建以大数据为基础的投资决策模型,并对相应的风险管理策略进行探讨。同时,以实证分析为例,构建风险评估模型,兼顾市场因素和大数据指标,并验证其有效性,从而为想要降低投资风险、提高投资效益的艺术品投资者提供了一个新的决策框架。

The article explores the relationship between art investment strategies and the construction of big data risk assessment model by analyzing the characteristics of the art market and investment advantages and disadvantages,combined with the application of big data in the field of financial investment.It builds an investment decision-making model based on the big data and explores corresponding risk management strategies.For example,the empirical analysis can construct a risk assessment model that takes into account market factors and big data indicators,and verify the model’s effectiveness,so as to provide a new decision-making framework for art investors who pursue low investment risks and high investment efficiency.