This paper empirically investigates the effects of the Asian financial crisis of 1997-98, and the period immediately afterwards, on the time-varying beta of four industrial sectors (chemical, finance, retail and industry) of Indonesia, Singapore, South Korea, and Taiwan. We apply daily data from...

In this paper, we study a leader-following consensus problem for a multi-agent system with a varying-velocity leader and time-varying delays. Here, the interaction graph among the followers is switching and balanced. At first, we propose a neighbor-based rule for every agent to track a leader...

Large-scale development of urban land use has led to change of a variety of natural processes and ecological processes, resulting in complex eco-environmental consequences. The objective of this study was to analyze the urban land use and its impact on air environment effect in Chengdu, western...

This study uses a case study method to examine the spin-offs of Asus and Yulon. Both companies show negative cumulated abnormal returns after spin-off announcements and then return to the anchoring price as at the announcement day. The results are in contrast to the findings of Veld et al....

Nowadays, microalgae received wide attention due to several advantages for biochemicals and renewable/sustainable biofuels production. Moreover, the utilization of microalgae as robust cellular species for biological nutrient removal from industrial and domestic wastewater streams has been of...

To test heteroscedasticity in single index models, in this paper two test statistics are proposed via quadratic conditional moments. Without the use of dimension reduction structure, the first test has the usual convergence rate in nonparametric sense. Under the dimension reduction structure of...

The lasso and its variants have attracted much attention recently because of its ability of simultaneous estimation and variable selection. When some prior knowledge exists in applications, the performance of estimation and variable selection can be further improved by incorporating the prior...

The measure of correlation between response and predictors plays a critical role in feature ranking and screening for nonparametric regression models. In this paper, a nonparametric function-correlative feature screening is introduced. The newly proposed method does not need any assumption on...