Sustainability Risk Disclosure Practices of Listed Companies in Australia

This paper investigates the extent to which the top 100 ASX listed companies disclosed economic, environmental and social sustainability risk factors during the 2014/15 financial year in light of the changes introducing Recommendation 7.4 to the third edition of the Corporate Governance Principles and Recommendations in 2014. While all companies complied with the Recommendation, questions of substance over form were raised because some companies had risks that were not disclosed according to Recommendation 7.4. Our conclusion outlines how this research contributes to the growing literature on sustainability and corporate governance. We add to the continuing debate on mandatory versus voluntary disclosures, advocating that Australia may need to introduce mandatory guidelines, beyond the ASX, to regulate the disclosure of material economic, environmental and social risks. Additionally, we conclude that Recommendation 7.4 is unlikely to substantially change Australian corporate reporting and disclosure practices – that, for most companies, it is ‘business as usual’. However, under business as usual, we can naturally expect to see further increases in sustainability and alternative reporting frameworks, such as integrated reporting, as well as increasing use of the Internet to report and disclose sustainability risks.     

Key factors affecting the hospital performance: a qualitative study using fuzzy logic

Identifying the key factors affecting the hospital performance helps better planning for hospital high performance. The purpose of this study is to provide a combination of qualitative and quantitative methods to investigate the hospital performance. In the qualitative section of this study, factors associated with hospital performance were detected using literature review, interviews, and expert panels. The findings analyzed by one sample t test and categorized by framework analysis method. In the quantitative section of this study, both direct and indirect relationships between factors were measured by using fuzzy Decision Making Trial and Evaluation Laboratory technique to detect influencing and influenced factors. Finally the key factors affecting the hospital performance were detected.     

On the Effects of Entry in Cournot Markets

In the framework of symmetric Cournot oligopoly, this paper provides two minimal sets of assumptions on the demand and cost functions that imply respectively that, as the number of firms increases, the minimal and maximal equilibria lead to (i) decreasing industry price and increasing or decreasing per-firm output; and (ii) increasing industry price (and decreasing per firm output.) In both cases, per-firm profits are decreasing.
The analysis relies crucially on lattice-theoretic methods and yields general, unambiguous and easily interpretable conclusions of a global nature. As a byproduct of independent interest, new insight into the existence of Cournot equilibrium is developed.     

Reducing managers’ incentives to cannibalize: Managerial stock options when shareholders are diversified

We analyze the relative advantage of option grants compared to stock compensation when shareholders are diversified. Our analysis recognizes a conflict that is largely neglected in the corporate finance literature. Shareholders want to maximize their portfolio value while capital budgeting rules direct managers to choose projects that maximize firm (equity) value. Options can reduce this conflict by motivating managers to avoid projects that enhance the value of one firm at the expense of another firm. Also, in our framework, relative performance evaluation destroys value for shareholders as it encourages firms to engage in cannibalistic activity. Consistent with the predictions of our model we find that firms with lower insider ownership, higher institutional ownership, and lower leverage tend to provide more option grants as compensation to their executives.     

Rallying competencies in virtual communities: A study of core processes and user interest in open source software projects

Managing work practices has become one of the key challenges facing virtual communities. This paper seeks to broaden the research on virtual communities by applying the theory of competency rallying (TCR) in a longitudinal manner to examine the impact of task identification, task assignment, task execution and task management on user interest in open source software (OSS) projects defined by popularity and communication. The aim of this paper is: (1) re-conceptualizing the concept of user interest and broadening our understanding of user interest by incorporating users' post-usage behaviors, (2) examining the effect of various tasks involved in an OSS project's key processes of defect-fixing and feature-enhancement on user interest. The current study found that project popularity is positively influenced by task assignment, task execution and task management. Additionally, user communication was found to be positively impacted by task identification and task execution. The data collected from 1178 OSS projects in a longitudinal manner (at 3 time points over a period of 16 months) confirmed the expectations from TCR and also demonstrated that over time the effects that development of competencies and managing short term cooperative work have on project success might increase, while the impact of identifying market needs and marshalling competencies may not significantly change.     

Equilibrium play in matches: Binary Markov games

We study two-person extensive form games, or “matches,” in which the only possible outcomes (if the game terminates) are that one player or the other is declared the winner. The winner of the match is determined by the winning of points, in “point games.” We call these matches binary Markov games. We show that if a simple monotonicity condition is satisfied, then (a) it is a Nash equilibrium of the match for the players, at each point, to play a Nash equilibrium of the point game; (b) it is a minimax behavior strategy in the match for a player to play minimax in each point game; and (c) when the point games all have unique Nash equilibria, the only Nash equilibrium of the binary Markov game consists of minimax play at each point. An application to tennis is provided.     

The Association of R&D and Capital Expenditures with Subsequent Earnings Variability

Abstract:  We estimate the association of investments in R&D and in physical assets (CAPEX) with subsequent earnings variability. We estimate these relations in different time periods and across industries. We find that R&D contributes to subsequent earnings variability more than CAPEX only in relative R&D-intensive industries – industries in which R&D is relatively more intensive than physical capital. In physical assets-intensive industries, we do not find similar relations. The findings suggest that with respect to subsequent earnings variability, fundamental differences between investment information about R&D and CAPEX exist. However, they are mainly noticeable in firms that operate in relatively R&D-intensive industries. The evidence also suggests there was a shift in the relations between R&D and CAPEX over time. Our findings contribute to the debate on accounting for R&D expenditures.     

Spillovers,subsidies, and second‐best socially optimal R&D

This paper provides a thorough second‐best welfare analysis of the standard two‐stage model of R&D/product market competition with R&D spillovers. The planner's solution is compared to the standard non‐cooperative scenario, the R&D cartel, and the cartelized research joint venture (or joint lab). We introduce the notion of a social joint lab, as a way for the planner to avoid wasteful R&D duplication. With no spillovers, the non‐cooperative scenario, the joint lab, and the second‐best planner's solutions coincide. However, with spillovers, all three scenarios yield R&D investments that fall short of the socially optimal level. To shed light on the role of the spillover level on these comparisons, we observe that the gaps between the market outcomes and the planners solutions widen as the spillover parameter increases. Finally, we establish that a social planner and a social joint lab solutions may be achieved starting from any of the three scenarios by offering firms respective suitably weighted quadratic R&D subsidization schedules.     

Consumer credit-risk models via machine-learning algorithms

We apply machine-learning techniques to construct nonlinear nonparametric forecasting models of consumer credit risk. By combining customer transactions and credit bureau data from January 2005 to April 2009 for a sample of a major commercial bank’s customers, we are able to construct out-of-sample forecasts that significantly improve the classification rates of credit-card-holder delinquencies and defaults, with linear regression R²’s of forecasted/realized delinquencies of 85%. Using conservative assumptions for the costs and benefits of cutting credit lines based on machine-learning forecasts, we estimate the cost savings to range from 6% to 25% of total losses. Moreover, the time-series patterns of estimated delinquency rates from this model over the course of the recent financial crisis suggest that aggregated consumer credit-risk analytics may have important applications in forecasting systemic risk.