Background: We investigated the determination of the pledged loan-to-value ratio in an optionpricing environment and mainly articulated the theoretical framework and analytical method. Methods: The basic idea is that the present value of the pledged loan payoff is equal to a put option's...

Purpose – The purpose of this paper is to investigate how to determine optimal investing stopping time in a stochastic environment, such as with stochastic returns, stochastic interest rate and stochastic expected growth rate. Design/methodology/approach – Transformation method was used for...

Purpose: This study aims to investigate the interactions between lean production, internal green practices, green product innovation and sustainable performance metrics. The study further looks at the mediation effect of internal green practices and green product innovation between lean...

In this paper, I investigate the determinants of price differences in the shares of cross-listed firms in domestic and foreign markets. Diverging from the literature in this field, I introduce a methodology that is independent of any specific form of utility function. My theoretical analysis...

We examine the financial health and performance of reverse mergers (RMs) that became active on U.S. stock markets between 2001 and 2010, particularly those from China (around 85% of all foreign RMs). As a group, RMs are small, early-stage companies that typically trade over-the-counter. Chinese...

This paper demonstrates how to convert a path-dependent optimal stopping time problem into a path-independent problem using a transformation analysis method. We test this method to deal with several problems, especially those in stochastic volatility environments. We introduce stochastic state...

This paper incorporates EGARCH modeling in a financial event study relating firm value to negative environmental news. News media provide informal information channels unlike formal government disclosure programs. This paper improves on previous studies by using a larger sample than most...