中国财务状况指数构建与市场预警分析

Yu E Tian
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引用次数: 1

摘要

近年来,中国面临着紧张的金融形势,金融状况指数(CFCI)作为一种综合多元信息的指标,对中国金融市场具有重要的现实意义,对宏观经济具有良好的预测作用。现有的研究大多采用类似的六七个指标来构建财务状况指标,不能充分、准确地发挥其指导作用。本文选取了影响金融状况的7个市场的15个指标,运用动态因子模型和卡尔曼滤波补全缺失值,构建了中国金融状况指数。利用时变参数向量自回归模型解释金融状况指标的变化对宏观经济的影响,分析不同市场波动对金融市场的影响,对中国金融市场更好的监测和有效的决策具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of China's Financial Condition Index and Analysis of Market Early Warning
China has been facing a tense financial situation in recent years, the construction of financial condition index (CFCI), as an index integrating multivariate information, is of great practical significance to China's financial market for a promising forecast effect on macro economy. Most of the existing studies use similar six or seven indicators to construct financial condition index, which can't fully and accurately play its guiding role. This paper selects 15 indexes of 7 markets that affect the financial situation and constructs China's financial condition index by using dynamic factor model and Kalman filtering to complete the missing value. Furthermore, we utilize the time-varying parameter vector autoregressive model to explain how the change of financial condition index affects the macro-economy and analyze the fluctuation of different markets have caused to financial market which is of great significance for better monitoring and effective policy-making of China's financial market.
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