Optimal reinsurance under general law-invariant risk measures

In recent years, general risk measures play an important role in risk management in both finance and insurance industry. As a consequence, there is an increasing number of research on optimal reinsurance decision problems using risk measures beyond the classical expected utility framework. In this paper, we first show that the stop-loss reinsurance is an optimal contract under law-invariant convex risk measures via a new simple geometric argument. A similar approach is then used to tackle the same optimal reinsurance problem under Value at Risk and Conditional Tail Expectation; it is interesting to note that, instead of stop-loss reinsurances, insurance layers serve as the optimal solution. These two results highlight that law-invariant convex risk measure is better and more robust, in the sense that the corresponding optimal reinsurance still provides the protection coverage against extreme loss irrespective to the potential increment of its probability of occurrence, to expected larger claim than Value at Risk and Conditional Tail Expectation which are more commonly used. Several illustrative examples will be provided.     

‘Doing-good’ and ‘doing-well’ in Chinese publicly listed firms

Recently, the presumed benefits of corporate social responsibility have become an important issue, especially for China where institutional settings are quite different from other parts of the world. Using an internationally accepted benchmark (OECD's Principles of Corporate Governance, OECD, 2004), this study constructs a corporate social responsibility (CSR) index to measure the quality of the corporate social responsibility practices of the 100 major Chinese listed firms during 2004–2007. This enables us to evaluate the progress of the corporate social responsibility practices of Chinese firms. The results show that Chinese companies have been making progress in their corporate social responsibility practices. The findings also show that market rewards Chinese firms for improving their corporate governance practices which implies ‘doing-good’ leads to ‘doing-well’ in the equity market in China. We also find that overseas-listed and more profitable Chinese firms have better improvement in CSR practice. This study has policy implications in pushing for further CSR initiatives in other emerging markets.     

Managing For Successful Customer Acquisition: An Exploration

Abstract

This paper explores how consumers select different peers in their social network when obtaining positive verses negative referrals, and the role of social cues in this selection process. An inductive framework incorporating a mixed method process was employed. Thirty in-depth interviews were used to understand how consumers activate specific peers when seeking referrals. First, participants mapped their peer networks and, second, debriefs were undertaken to understand how their peer networks were used across ten product categories. Our research identifies that the choice of peer when seeking referral information is conditional on the type of referral sought. Also, that the cues used by consumers when selecting the most appropriate peer differ depending on the type of referral sought. The different peer activation for these two types of referrals indicates a need to adopt strategies specific to the different referral types.     

The Selection of Distribution Channels in China

This contribution first traces the development of the distribution system in China from state monopoly to one which permits the limited participation of foreign ventures, and examines the problems faced by foreign investors in managing the distribution channels under such a transitional economy. Due to China's abundance of linguistic, cultural and economic differences, combined with growing territorialism at the provincial level, different problems may be encountered in different citieslregions, and therefore foreign investors need to modify their distribution strategies accordingly. Detailed case studies are provided as illustrations.     

Behaviour of intra-daily stock return on an Asian emerging market - Hong Kong

This study examines the intra-daily return behaviour of one of the most open Asian emerging markets - Hong Kong. It is found that there is a general increase in the positive skewness and kurtosis of all the intra-daily returns after the 1987 October crash and the distributions of all the returns have become non-normal after the crash. There seems to be more day-of-the-week and time-of-the-day variations in the post-crash period than in the pre-crash period. There also exists some day-end effect in both of the periods and such a day-end effect seems to be related to the day of the week.     

An integrative analysis of business bankruptcy in Australia

This paper proposes an integrative and dynamic approach for analyzing business failure. The simultaneous estimation results obtained with Australian data indicate significant associations between bankruptcy rates in different industries. Most of these associations are positive and hence implying that bankruptcy in one industry can inflict a ‘domino’ effect on other industries. The estimated significant negative association between current and lagged bankruptcy rates in the industries under consideration lend support to the survival of the fittest hypothesis. The estimation results also highlight the important effects of industry, domestic and international economic conditions on bankruptcy rates.     

The value of relational learning in global buyer‐supplier exchanges: a dyadic perspective and test of the pie‐sharing premise

Research in collaborative interorganizational relationships has typically focused on the value of these relationships to a specific supply chain partner. Furthermore, the phenomenon has rarely been explored in a global setting. Using primary data from 126 cross‐border dyads, we investigate the influence of relational learning on the relationship performance of both the buyer and the supplier, testing the contention that both members (1) benefit from relational learning efforts and (2) enjoy equal pieces of the benefits pie. We find that three specific types of relational learning (information sharing, joint sensemaking, and knowledge integration) influence relationship performance, and that these dimensions of relational learning affect supply chain partners in different ways. We draw conclusions regarding the relative value of relational learning for both buyers and suppliers. Copyright © 2011 John Wiley & Sons, Ltd.