While recent studies document increasing idiosyncratic volatility over the past four decades, an explanation for this trend remains elusive. We establish a theoretical link between growth options available to managers and the idiosyncratic risk of equity. Empirically both the level and variance...

While recent studies document increasing idiosyncratic volatility over the past four decades, an explanation for this trend remains elusive. We establish a theoretic link between growth options available to managers and the idiosyncratic risk of equity. Empirically both the level and variance of...

Recently, nature-inspired algorithms have increasingly attracted the attention of researchers. Due to the fact that in BPSO the position vectors consisting of ‘0’ and ‘1’ can be seen as a decision behavior (support or oppose), in this paper, we propose a BPSO with hierarchical structure...

The high-speed growth of China’s biotechnology industry during the past 20 years presents an excellent opportunity to examine its overall evaluation and governance from the perspective of science and technology policies. Although China’s biotechnology industry has achieved tremendous...

Recurrent event data occur in many fields and many approaches have been proposed for their analyses (Andersen et al. (1993) [1]; Cook and Lawless (2007) [3]). However, most of the available methods allow only time-independent covariate effects, and sometimes this may not be true. In this...

The high-speed growth of China’s biotechnology industry during the past 20 years presents an excellent opportunity to examine its overall evaluation and governance from the perspective of science and technology policies. Although China’s biotechnology industry has achieved tremendous...

The purpose of this paper is to study the issue of macroeconomic control in China. The investigation is conducted within the context of an endogenous growth model that incorporates the major institutional features of the transforming Chinese economy.

This paper presents a novel approach, named the SVR (support vector regression) based SVRLP (support vector regression local predictor) with FNF-SVRLP (false neighbours filtered-support vector regression local predictor), to predict short-term natural gas demand. This method integrates the SVR...