Local Linear Smoothing Analysis of Shanghai Stock Market Returns Sequence Clustering Feature
Huimin Ma
Abstract
Huimin Ma
Abstract
This paper based on the analysis of the Shanghai stock market return sequence of basic characteristic.Focus on the use of non-parametric method sequence analysis yield volatility of the Cluster.At first described by a series of indicators in the stock market return sequence with the basic characteristics.We use non-parametric estimation methods yield sequence density function.Further use of nonparametric regression analysis,analysis of the volatility of the stock market,Note the stock market return sequence Cluster feature is a general law,to prevent the risk of the stock market should take note of this feature.
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This paper based on the analysis of the Shanghai stock market return sequence of basic characteristic.Focus on the use of non-parametric method sequence analysis yield volatility of the Cluster.At first described by a series of indicators in the stock market return sequence with the basic characteristics.We use non-parametric estimation methods yield sequence density function.Further use of nonparametric regression analysis,analysis of the volatility of the stock market,Note the stock market return sequence Cluster feature is a general law,to prevent the risk of the stock market should take note of this feature.
Key concepts: Econometrics, Nonparametric statistics, Stock market, Volatility (finance), Cluster analysis, Smoothing, Stock (firearms), Financial economics