Have labour practices and human rights disclosures enhanced corporate accountability? The case of the GRI framework

This paper critically evaluates Transnational Corporations’ (TNCs) claimed adherence to the Global Reporting Initiative (GRI)’s ‘labour’ and ‘human rights’ reporting guidelines and examines how successful the GRI has been in enhancing comparability and transparency. We found limited evidence of TNCs discharging their accountability to their workforce and, rather, we found evidence to suggest that disclosure was motivated more by enhancing their legitimacy. TNCs failed to adhere to the guidelines, which meant that material information items were often missing, rendering comparability of information meaningless. Instead, TNCs reported large volumes of generic/anecdotal information without acknowledging the impediments they faced in practice.     

Value relevance of proportionate consolidation versus the equity method: Evidence from Hong Kong

Whether proportionate consolidation (PC) or the equity method (EM) provides more informative financial statements is a controversial issue. This study uses data from listed companies in Hong Kong to investigate the value relevance of the EM compared with PC during 2005–2008 when the local word-for-word equivalent HKAS 31 offered the same options. The results of this study provide evidence that PC does not offer higher value relevance than the EM. PC’s horizontal aggregation of a portion of the operations, assets and liabilities of the jointly controlled entities with those of the venturer is less informative to investors than the EM’s vertical aggregation.     

Non-coercive influence: Scale development and validation based on resource and relational paradigms

To overcome competition in an increasingly network dependent market, retailers are required to influence upstream channel partners while sustaining relationships. However, the contemporary supply chain literature has not sufficiently leveraged the resource and relational paradigms to examine influence. Grounded on resource dependency theory and commitment-trust theory paradigms, this study describes conceptualization and operationalization of a 12-item scale for measuring non-coercive influence on upstream channel partners in retail supply chain management (R-SCM) context. The study is based on responses from 547 retail professionals in India obtained over four successive surveys. Psychometric properties were assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The proposed scale demonstrates construct validity. Invariance-testing carried out over 4-levels of increasingly demanding equivalence confirmed cross-validation. Nomological validity of the scale was tested by evaluating association with suppliers’ intention to cooperate. The results indicate existence of three dimensions of non-coercive influence: collaborative intent, market intelligence dissemination, and operational support. Retailers can use the scale to assess their personnel's non-coercive influence behavior over suppliers.     

Optimizing the credit term decisions in supply chain finance

We study a credit term determination problem in the context of a supplier-buyer supply chain. The supplier's credit term decision is simultaneously made with its production and inventory decisions, and most importantly, it is impacted by the buyer's order quantity. We present a new game-theoretic framework to model this problem, which captures the interaction between the supplier's credit term decision and the buyer's order decision in a multi-period setting. An exact method based on nonlinear programming is implemented to obtain the optimal solutions. We apply our methodologies on a real world case. The computational results show that our approach significantly outperforms the heuristics with fixed credit terms, and either a short or a long credit term can be sub-optimal for the supplier in profitability. Our work offers the first data-driven model and solution approach that assists purchasing and supply managers to make optimal dynamic credit term decision in conjunction with production, ordering and inventory decisions in a game-theoretic setting.     

Isolated refuges for surviving global catastrophes

A variety of global catastrophes threaten the survival of human civilization. For many of these catastrophes, isolated refuges could keep some people alive and enable them to rebuild civilization in the post-catastrophe world. This paper examines the potential importance of refuges and what it would take to make them succeed. The successful refuge will have a variety of qualities, including isolation from catastrophes and self-sufficiency. These qualities can be achieved through a variety of specific design features. We introduce the concept of surface-independence as the gold standard for refuge excellence: refuges isolated from Earth's surface will offer maximum protection against both the catastrophe itself and potentially harmful post-catastrophe populations. However, surface-independence introduces significant design challenges. We present several challenges and evaluate possible solutions. Self-sufficiency in food provision can be greatly enhanced via chemical food synthesis. The rejection of waste heat from subterranean refuges can be enhanced via building piping networks and locating refuges near running groundwater or in ice. The high cost of extraterrestrial refuges can be offset by integrating refuges into space missions with scientific, political, or commercial goals. Overall, refuges show much promise for protecting civilization against global catastrophes and thus warrant serious consideration.     

Spillovers among CDS indexes in the US financial sector

By employing the robust cross-correlation function approach proposed by Hong (2001), and conducting pre-tests for structural breaks in the variances as well as removing the causality-in-mean effects in the causality-in-variance tests, we investigate volatility and mean transmissions between the credit default swaps (CDS) indexes of three US financial sectors. We use daily series on five-year banking, insurance, and financial services sector CDS indexes at the sector level from January 2004 to December 2011. We find evidence of significant causality-in-mean effects running from the banking sector to the insurance and financial services sector CDS indexes and from the financial services to the insurance sector CDS indexes, suggesting the leading role of the banking and financial services sectors in terms of price discovery. Moreover, we find significant causality-in-variance effects from the financial services sector CDS index to that of the banking sector, implying the existence of information transmission and contagion from the former, the least regulated of the three. The implications of these findings on traders and policymakers are also provided.     

The interest rate pass-through in the Euro area during the global financial crisis

This paper uses panel vector autoregressive (VAR) models for euro area member countries to explore the widening of retail bank interest rate spreads that emerged in the course of the global financial crisis. We find that the interest rate pass-through was generally complete on impact before the outbreak of the financial crisis, but became significantly distorted in the period thereafter, which hampered the effectiveness of monetary policy. Empirical evidence suggests that the decrease in the interest rate pass-through can be related to a change in the structural parameters characterizing the economies and a substantial increase in the average size of structural shocks. DSGE model simulations show that an increase in the frictions that banks are subject to can explain the decrease in the retail bank interest rate pass-through.     

Pricing CDS spreads with Credit Valuation Adjustment using a mixture copula

Credit derivatives pricing models before Basel III ignored losses in market value stemming from higher probability of counterparty default. We propose a general credit derivatives pricing model to evaluate a Credit Default Swap (CDS) with counterparty risk, including the Credit Valuation Adjustment (CVA) in order to optimize the economic capital allocation. We work from the model proposed by Luciano (2003, Working Paper, International Center of Economic Research) and the general pricing representation established by Sorensen and Bollier (Financial Analysts Journal 1994;50(3):23–33) to provide a model close to the market practice, easy to implement and fitting with Basel III framework. We approach the dependence between counterparty risk and that of the reference entity with a technical tool: the copula, in particular, the mixture one that combines common “extreme” copulas. We study the CDS's vulnerability in extreme dependence cases. By varying Spearman's rho, the mixture copula covers a broad spectrum of dependence and ensures closed form prices. We end up with an application on real market data.     

What makes export manufacturers pursue functional upgrading in an emerging market? A study of Chinese technology new ventures

This study examines unique factors causing emerging market firms to pursue functional upgrading. Our analysis draws on the resource-based view and learning theory, and our study sample consisted of Chinese new technology ventures. We test the effect of governance mechanisms and internal resources on the functional upgrading of firms. The results indicate that trade shows and quality advantage facilitated the functional upgrading of firms. However, contrary to our expectations, electronic markets and technological advancement do not emerge as significant variables. The implications of the results are discussed in consideration of the existing literature, and future research opportunities are described.     

External balances,trade flows and financial conditions

This paper studies how changing expectations concerning future trade and financial conditions are reflected in international external positions. In the absence of Ponzi schemes and arbitrage opportunities, the net foreign asset position of any country must, as a matter of theory, equal the expected present discounted value of future trade deficits, discounted at the cumulated world stochastic discount factor (SDF) that prices all freely traded financial assets. I study the forecasting implications of this theoretical link in 12 countries (Australia, Canada, China, France, Germany, India, Italy, Japan, South Korea, Thailand, The United States and The United Kingdom) between 1970 and 2011. I find that variations in the external positions of most countries reflect changing expectations about trade conditions far into the future. I also find the changing forecasts for the future path of the world SDF are reflected in the dynamics of the U.S. external position.