A system paradigm is an abstract representation of system; it includes system architecture used to determine the types and numbers of components and their relations in the system. The design of system paradigm relies on customers’ requirements and the characteristics of the manufacturing...

We consider a varying coefficient regression model for sparse functional data, with time varying response variable depending linearly on some time independent covariates with coefficients as functions of time dependent covariates. Based on spline smoothing, we propose data driven simultaneous...

We consider a varying coefficient regression model for sparse functional data, with time varying response variable depending linearly on some time independent covariates with coefficients as functions of time dependent covariates. Based on spline smoothing, we propose data driven simultaneous...

Purpose: The train dispatching is a crucial issue in the train operation adjustment when passenger flow outbursts. During holidays, the train dispatching is to meet passenger demand to the greatest extent, and ensure safety, speediness and punctuality of the train operation. In this paper, a...

This paper investigates how information asymmetry and mutual fund ownership affect listed companies' earnings management. We show that (1) reducing information asymmetry improves firms’ earnings management behavior; (2) relative to short-term mutual funds, long-term mutual funds promote...

This study systematically examines the ability of aggregate insider trading to predict future market returns in the Chinese A-share market. After controlling for the contrarian investment strategy, aggregate executive (large shareholder) trading conducted over the past six months can predict 66%...

This study examines the effects of China’s 2008 trading ban regulation on the insider trading of large shareholders in China’s A-share market. It finds no evidence of insider trading during the ban period (one month before the announcement of a financial report), due to high regulation risk....