business cycle;
forecasting;
indicators;
leading index;
times series;
D O I:
10.1198/073500106000000279
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
Effectively predicting cyclical movements in the economy is a major challenge. The U.S. leading index (LI) has long been used to analyze and predict economic fluctuations. We describe and test a new procedure for making the LI more timely. The new LI significantly outperforms its older counterpart. It offers substantial gains in real-time, out-of-sample forecasts of changes in aggregate economic activity (real GDP, the index of coincident indicators, and industrial production) and provides timely and accurate ex ante information for predicting not only business cycle turning points, but also monthly changes in the economy.
机构:
Charles Univ Prague, Dept Addictol, Fac Med 1, Prague, Czech Republic
Gen Univ Hosp, Prague, Czech RepublicCharles Univ Prague, Dept Addictol, Fac Med 1, Prague, Czech Republic
机构:
Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China
Liang, Jiaxin
Pan, Haoyuan
论文数: 0引用数: 0
h-index: 0
机构:
Shenzhen Univ, Coll Comp Sci & Software Engn, Shenzhen 518060, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China
Pan, Haoyuan
Liew, Soung Chang
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China