Estimation of Large Dimensional Factor Models with an Unknown Number of Breaks

• Main Authors: MA, Shujie, SU, Liangjun
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2016
• 主題: Break point; Convergence rate; Factor model; Fused Lasso; Group Lasso; Information criterion; Principal component; Structural change; Super-consistency; Time-varying parameter; Econometrics
• 在線閱讀: https://ink.library.smu.edu.sg/soe_research/1789; https://ink.library.smu.edu.sg/context/soe_research/article/2788/viewcontent/05_2016.pdf
• 機構: Singapore Management University

In this paper we study the estimation of a large dimensional factor model when the factor loadings exhibit an unknown number of changes over time. We propose a novel three-step procedure to detect the breaks if any and then identify their locations. In the first step, we divide the whole time span i...