Co-movement of Cyclical Components Approach to Construct a Coincident Index of Business Cycles

被引:0
|
作者
Kyo K. [1 ]
Noda H. [2 ]
Kitagawa G. [3 ,4 ]
机构
[1] Faculty of Management and Information Science, Niigata University of Management, Kamo-shi
[2] School of Management, Tokyo University of Science, 1-11-2 Fujimi, Chiyoda-ku, Tokyo
[3] Mathematics and Informatics Center, University of Tokyo, Tokyo
[4] Meiji Institute for Advanced Study of Mathematical Sciences (MIMS), Meiji University, Tokyo
基金
日本学术振兴会;
关键词
Business cycle index; Co-movement of cyclical components; Composite index; Decomposition of time series; Growth cycles; State space model;
D O I
10.1007/s41549-022-00067-9
中图分类号
学科分类号
摘要
The accurate assessment of business conditions is a long-standing problem in macroeconomics. To construct a coincident index of growth cycles from a given set of indicators, we propose a new approach: the co-movement of cyclical components (triple-C) approach. For realizing the triple-C approach, we introduce a multi-objective optimization algorithm. We refer to the coincident index of growth cycles as the index of business cycles (IBC) of coincident economic indicators. The IBC based on the triple-C approach has the following properties: (1) its mean is globally stationary; (2) it is constructed as a common factor in the stationary parts of the selected economic indicators; and (3) its variations are as large as possible so that it contains a relatively large amount of information for business cycle analysis. We examine the performance of the constructed IBC by comparing it with a composite index based on data for coincident indicators in Japan. © 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
引用
收藏
页码:101 / 127
页数:26
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