协整
经济
计量经济学
趋同(经济学)
潜变量
面板数据
因子分析
Lasso(编程语言)
金融经济学
宏观经济学
数学
统计
计算机科学
万维网
作者
Yingjie Dong,Wenxin Huang,Yiu Kuen Tse
标识
DOI:10.1016/j.jimonfin.2022.102794
摘要
This paper examines the price comovement of cross-listed Chinese A- and H-shares using a panel model with latent factors and a heterogeneous long-run structure. Our model is more flexible than the cointegration system and is estimated using the data-driven Cup–Lasso method. The long-run H-share price discounts are heterogeneous across different groups of stocks. We have identified both stationary and nonstationary latent factors in the price differentials, which are driven by different economic variables. By analyzing the factor loadings of the nonstationary latent factor, we identify some trading-friction and information-friction variables that have effects on the price convergence between the A- and H-shares.
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