Previous studies have shown that the stationary and nonstationary time-varying volatilities have different implications on the unit root test. In this paper, we provide a Bayesian unit root test for an AR(1) model with stochastic volatility and leverage effect. Monte Carlo simulations show that...

In this paper, on the basis of stochastic volatility (SV) models, we extend the approach of option pricing for executive stock options (ESOs) under FAS 123. Based on this extension, a sample of Chinese listed companies’ ESOs are priced. We analyze the effect of the some important financial...

This paper examines how public market information relates to the initiation of venture capital projects. Analysis of venture capital investments in the U.S. between 1980 and 2007 indicates that venture capitalists tend to defer new investment projects in target industries with substantial market...

The dynamic performance is a very important evaluation index of proton exchange membrane (PEM) fuel cells used for real application, which is mostly related with water, heat and gas management. A commercial PEM fuel cell system of Nexa module is employed to experimentally investigate the dynamic...

Heteroscedasticity checking in regression analysis plays an important role in modelling. It is of great interest when random errors are correlated, including autocorrelated and partial autocorrelated errors. In this paper, we consider multivariate <italic>t</italic> linear regression models, and construct the...

A new posterior odds analysis is proposed to test for a unit root in volatility dynamics in the context of stochastic volatility models. This analysis extends the Bayesian unit root test of So and Li (1999, Journal of Business Economic Statistics) in two important ways. First, a numerically more...

We investigate the following important questions in international business. How do multinational enterprises (MNEs) choose ownership strategies when facing strong uncertainty in foreign market entries? How are the choices affected by industry contingencies? Following the key tenets of real...

Hypothesis testing using Bayes factors (BFs) is known not to be well dened under the improper prior. In the context of latent variable models, an additional problem with BFs is that they are difficult to compute. In this paper, a new Bayesian method, based on decision theory and the EM...

Over the past decades, controversial and conflict-laden water allocation issues among competing interests have raised increasing concerns. In this research, an interval-parameter two-stage stochastic nonlinear programming (ITNP) method is developed for supporting decisions of water-resources...