The dynamics of ex-ante weighted spread: an empirical analysis

We model the evolution of the ex-ante weighted spread (EWS) embedded in an open Limit Order Book (LOB) and investigate the impact of observed market-related variables on the spread. Our modeling involves decomposing the joint distribution of the weighted spread into simple and interpretable distributions. Our main results have several implications: (i) EWS features high persistence in autocorrelation; (ii) lower-level LOB remains liquid even after a high trade imbalance; (iii) lower- and higher-level LOB react to temporal spread change and trade imbalance in different ways; and (iv) both trade durations and quote durations have seasonality effects. We also show, through a simple high frequency trading exercise, that the use of the model can be economically important. Further, our model provides an estimation of market resilience.     

Integrating the Ethical Dimension into the Analytical Framework for the Reform of State-Owned Enterprises in China's Socialist Market Economy: A Proposal

The discussions about the reform of state-owned enterprises are so far dominated by economic and legal considerations while the ethical dimension of this highly complex problem is being barely addressed explicitly, much less developed systematically and integrated into a broader analytical framework for companies in China. This paper is a proposal to introduce this kind of ethical considerations. First, the main features of the reform of state-owned enterprises are briefly summarized and a number of critical issues are identified. Second, the "balanced concept of the firm" is presented and compared with other approaches to corporate ethics in chiefly Western literature (discussions on "corporate social responsibility", the stakeholder approach, and social contract theories). Finally, the relevance of this "balanced concept of the firm" for the reform of state-owned enterprises is briefly discussed.     

Does asymmetric information affect the premium in mergers and acquisitions?

We test the influence of information asymmetry on the premium paid for an acquisition. We analyze mergers and acquisitions as English auctions. The theory of dynamic auctions with private and common value predicts that more informed bidders may pay a lower price. We test that prediction with a sample of 1,026 acquisitions in the United States between 1990 and 2007. We assume that blockholders of the target's shares are better informed than other bidders because they possess privileged information on the target. Our empirical results show that blockholders pay a much lower premium than do other buyers     

Environmental Analysis of Packaging for Soft Drinks Using the Life Cycle Assessment Methodology

The knowledge of a product＇s life cycle is the first step on the search of sustainable development. The life cycle assessment （LCA） is an important method because it allows an environment accounting, where the extraction of natural resources and energy of the nature are considered and the ＂returns＂ to the same one and allows in evaluating relative potential the environment impacts generated. The present work had as objective to make an analysis of material and energy flows of the life cycle of three types of packaging for soft drinks： glass bottles of 390 mL, aluminum cans of 350 mL, and bottles of PET of 2,000 mL. The study considered processes since the extraction of raw materials for production of the packaging until the stages of recycling, after the consumption of the soft drink. For the research, an inventory analysis followed the LCA methodology. The main critical points of generation of negative environmental impact during the life cycle of each packaging had been the identified and quantified data in this study. The consumption of natural resources like water and other raw materials and energy, the generation of atmospheric emissions, solid wastes and wastewaters had been the analyzed categories. The results showed that, in accordance with the scenes and defined variables, the most important conclusion was that the bottle of glass presented a less favorable scene to the environment in comparison with other packaging.     

What drives international equity correlations? Volatility or market direction?

We consider impulse response functions to study the impact of both return and volatility on the correlation between international equity markets. Using data on the US (as the reference country), Canada, the UK and France equity indices, empirical evidence shows that without taking into account the effect of return, there is an (asymmetric) effect of volatility on correlation. The volatility seems to have an impact on correlation especially during downturn periods. However, once we introduce the effect of return, the impact of volatility on correlation disappears. These observations suggest that, the relation between volatility and correlation is an association rather than a causality. The strong increase in the correlation is driven by the past of the return and the market direction rather than the volatility.     

Dispensing with NAFTA Rules of Origin? Some Policy Options

The objective of this paper is to use a computable general equilibrium (CGE) methodology to estimate the economic gains, for both Canada and Mexico, of: (1) adopting a North American customs union (CU) that would also liberalise rules of origin (ROO); and (2) reviving the WTO scenario of multilateral free trade, thereby eliminating preferential commerce and thus the need for preferential ROO across free trade agreements (FTAs). Such a CGE methodology is useful as the approach permits computation of an efficiency (or ex post) cost of ROO that might, in some contexts, be more relevant than the existing ex ante indices of ROO restrictiveness, which are unable to account for the fact that the use of preferential access in an FTA (and the concomitant ROO compliance) is an option, not an obligation. The paper shows that the erosion of NAFTA tariff preferences at the end of the 1990s and early 2000s, which resulted from a different phasing of the NAFTA and Uruguay Round measures, has reduced the efficiency cost of NAFTA ROO, making these rules economically less relevant, especially for Canada, and therefore limiting somewhat the gains from liberalising them through a CU. Given this, the WTO scenario of multilateral free trade remains the approach that would deliver the largest economic gains in terms of GDP and welfare, while making preferential commerce and ROO obsolete.     

Toward a North American Security Perimeter? Assessing the trade,FDI, and welfare impacts of liberalizing 9/11 security measures

This paper examines the trade, FDI, and welfare impacts of (liberalizing) 9/11 security measures at the Canada–US border. First, the study provides econometric estimates of the impact of post 9/11 security measures on bilateral (US–Canada) trade flows. Second, we compute sectoral tariff rates “equivalent” to the 9/11 security measures using these econometric estimates together with a three-region nine-sector general equilibrium model. Finally, we assess for both the Canadian and the US economies: 1) the (general equilibrium) impacts on trade, FDI, and welfare, of (liberalising) the 9/11 US security measures and 2) the economic impacts of a change of security paradigm toward a North American Security Perimeter within a Customs Union that would liberalize the Canadian and US 9/11 security measures at the Canada–US border and shift them at the external security perimeter.     

Scaling models for the severity and frequency of external operational loss data

According to Basel II criteria, the use of external data is indispensable to the implementation of an advanced method for calculating operational risk capital. This article investigates how the severity and frequencies of external losses are scaled for integration with internal data. We set up an initial model designed to explain the loss severity by taking into account potential selection bias in the external data. Estimation results show that many variables have significant power in explaining the loss amount. We use them to develop a normalization formula. We develop a zero-inflated count-data model to scale the loss frequency. We compute an operational VaR and we conduct out-of-sample backtesting.