Linking corporate sustainability and innovation in supply chain management – evidence of a Taiwan leading glass recycling company

This empirical study presents a combination of insights from corporate sustainability practices, supply chain management, and innovation literature, and a case study to discover new understandings on factors influencing firms to incorporate sustainable innovation initiatives into their supply chain practices. There is an apparent lack of literature in this field due to its modernity and evolving nature. Also, there is a lack of insights into how firms could translate sustainable innovation initiatives into practice. This study addresses this gap by examining a successful glass recycling company through the lenses of sustainable innovation context and the Global Reporting Initiative G3 Guideline framework. Primary data are collected through observations and in-depth interview before it is coded and analysed using nVivo. The findings show that sustainable innovation practices are mainly directed at improving the technological processes, resource sharing, and reduction of production cost among supply chain partners. A conceptual sustainable innovation framework is also proposed. This study contributes to sustainable innovation literature by providing insights into the evaluation of a firm's innovative sustainability efforts.     

Trading volume and returns relationship in SET50 index futures market

This study investigates the relationship between trading volume and returns in SET50 index Futures market in the period from April 2006 to December 2008 using 653 observations. From previous studies, we include three methodologies namely the GARCH model, the Generalized Method of Moments （GMM） to estimate systems of equations and the Granger causality test to investigate the relationship more thoroughly. In addition, we introduce the lagged volume as a new explanatory variable in the GARCH model. Overall, the results show the significant contemporaneous and dynamic relationships between trading volume and returns volatility which support the sequential information arrival hypothesis and imply some degree of market inefficiency. The results from this study also show that past information of trading volume can be used to improve the prediction of price volatility. Therefore, regulators and traders could include past information of trading volume of SET50 index futures in tracking and monitoring the market volatility level and the investment risk in order to make a timely decision.     

Linkage between stock volatility and corporate bond yield spread in Thailand

This paper studies the relationship between stock volatility and corporate bond yield spread in Thai market by using Campbell and Taksler （2003） panel data regression approach. The results show that the equity volatility＇s variables, such as finn＇s idiosyncratic risk, market risk, individual stock return and market return, are matter to explain the corporate bond yield spread. Surprisingly, these variables could explain the spread better than credit rating variables. Furthermore, during bear market period, only corporate bond yield spreads in financial finns are increasing significantly. Some of the deterministic yield spread parameters such as level and slope of interest rate also alter from bull market period.