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在决定投资量化基金之前,为避免误入龙门阵,熟悉量化风险,认识量化模型,并掀起量化模型面纱,看清其真实面目,自是十分必要。量化风险点所谓量化模型,是把数理统计学应用于科学数据,以使数理统计学构造出来的模型得到经验上的支持,并获得数值结果。这种分析是基于理论与观察的并行发展,而理论与观测又通过适当的
Before deciding to invest in a quantitative fund, it is necessary to avoid mistaking into the gantry array, being familiar with quantifying risks, understanding the quantitative model, setting off a veil of quantitative models and seeing its true colors. Quantitative risk points The so-called quantitative model is the mathematical statistics applied to scientific data, so that mathematical statistics constructed models obtained empirical support, and obtain numerical results. This analysis is based on the parallel development of theory and observation, and the theory and observation through the appropriate