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中国实时金融状况指数的构建
引用本文:栾惠德,侯晓霞.中国实时金融状况指数的构建[J].数量经济技术经济研究,2015(4):137-148.
作者姓名:栾惠德  侯晓霞
作者单位:中国人民银行,中国人民银行营业管理部
摘    要:金融状况指数(FCI)综合了多个金融变量的信息,能够比单个指标更全面、直观地反映金融市场的整体运行情况。基于动态因子模型直接利用混频数据测算我国的实时FCI,突破了传统方法要求数据频度一致的限制,从而大大增强了FCI的时效性,使FCI具备金融市场流动性指示器的功能。实证研究表明,改进后的FCI能够揭示近年来我国货币政策的松紧程度,其走势比CPI月同比领先7个月,对通胀的预测效果优于其构成变量。

关 键 词:金融状况指数  混频数据  动态因子  实时预测

Construction of China's Real-time Financial Conditions Index
Luan Huide and Hou Xiaoxia.Construction of China's Real-time Financial Conditions Index[J].The Journal of Quantitative & Technical Economics,2015(4):137-148.
Authors:Luan Huide and Hou Xiaoxia
Institution:Luan Huide;Hou Xiaoxia;The People’s Bank of China;The People’s Bank of China Operation Office;
Abstract:Because Financial Conditions Index(FCI) integrates the movements of multiple financial variables, it describes the financial market more comprehensively than any single variable. Based on dynamic factor model, this paper extracts real-time FCI from mixed frequencies data directly. Then the daily FCI can not only reflect the tenseness of monetary policy, but also serve as an indicator for the liquidity of financial market. Furthermore, we examine the forecast performance of FCI with vintage data. Empirical evidences show that real-time FCI is reliable and more helpful in revealing the turning points of inflation than its constituting variables.
Keywords:FCI  Mixed-Frequency Data  Dynamic Factorl  Real-Time Forecast
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