Da-Cang Zhao

Factor Model Estimation for High-Dimensional Time Series with Heteroskedastic Noise

Factor modeling provides a framework for extracting common components from high-dimensional time series. We develop an estimator of the factor loading space that combines contemporaneous covariance with lagged autocovariance information. Under cross-sectionally heteroskedastic white noise, the contemporaneous covarianc...