Electronic Commerce and the Future for SMEs in a Global Market-Place: Networking and Public Policies

This paper explores three inter-related issues: globalisation; the role of small and medium sized enterprises (SMEs); and electronic commerce (e-commerce). A central question is whether e-commerce offers advantages to SMEs that may facilitate their access to global markets and help them overcome the disadvantages they face vis-à-vis large transnational corporations (TNCs)? The paper starts by briefly considering the extent of globalisation and its relationship to free trade. We then go on to consider recent developments in e-commerce, focusing on the key issue of e-payment systems. Differences in the requirements of large and smaller firms are identified, and we identify a number of key issues concerning access of smaller firms to e-payment systems and the (virtual) market place, and outline their implications for regulatory policy. Our analysis highlights the importance of network externalities, and institutional factors affecting trust and the relationships amongst different economic actors. This leads to a consideration of networking and public policies more broadly. One of the central conclusions of our analysis is that there are important synergies between e-commerce (virtual) networks and (real) production networks. This suggests that policy makers and smaller firms should think in terms of extending existing, and catalysing new, real production networks to incorporate e-payment systems for networks of firms in order to facilitate their access to virtual markets.

     

Return migration, wage differentials, and the optimal migration duration

In simple static models, migration increases with the wage differential between host- and home-country. In a dynamic framework, and if migrations are temporary, the size of the migrant population in the host country depends also on the migration duration. This paper analyses optimal migration durations in a model which rationalises the decision of the migrant to return to his home country, despite persistently higher wages in the host country. The analysis shows that, if migrations are temporary, the optimal migration duration may decrease if the wage differential grows larger. Using micro data for Germany, the second part of the paper provides empirical evidence which is compatible with this hypothesis.     

Islamic investing

Using a large international sample of 35 developed and emerging markets, we analyze whether Islamic indices exhibit a different performance to conventional benchmarks. While there is no compelling evidence of performance differences in robust Sharpe ratio tests and after controlling for market risk, we find a significantly positive four-factor alpha for the aggregate developed markets region. This outperformance stems, however, mainly from the U.S. and is largely attributable to the exclusion of financial stocks in Sharia-screened portfolios. As the extensive downturn of financials is related to the recent financial crisis, we do not argue that this outperformance will continue over time. The style analysis reveals that Islamic indices invest mainly in growth stocks and positive momentum stocks. This, for a passive portfolio intriguing result can, however, be explained by the strong sector allocation towards energy firms and their strong momentum characteristic during the sample period.     

Can NN-algorithms and macroeconomic data improve OLS industry returns forecasts?∗

Using an extensive range of macroeconomic indicators and a number of two-stage models mixing OLS and a non-parametric approach known as the nearest neighbour algorithm, the authors analyse the potential for improving forecasts of US industry returns over those built by OLS on industry-specific variables only. Basic performance is measured by the average cross-sectional correlation over time between the 55 forecasted returns and the realized returns across industries. Since investors and asset managers typically want a steady performance over time, the volatility of this cross-sectional correlation is further taken into account in an adaptation of the Sharpe Ratio. Strong evidence is found in favour of certain macroeconomic factors as dominant industry return predictors, and some two-stage models based either purely on OLS or a mix between OLS and the non-linear model can lift both cross-sectional forecasting correlation and Sharpe Ratio. However, viewed overall in relation to the benchmark OLS model, performance is not consistently improved by any particular model.     

Institutional dimensions underlying public trust in information on technological risk

This paper examines the determinants of trust in public information on technological risk in a petrochemical complex located in Tarragona (Spain). Data from focus groups (eight) and a questionnaire survey (N = 400) are drawn together to analyse how two local communities exposed to major chemical hazards perceive information on risk and its sources. Results show how trust relies on two main factors, namely expertise and trustworthiness, that are significantly influenced by a third one, antagonism. Results also illustrate the relevance of the institutional context when understanding how communities give meaning to the available information on risk.     

Speed of Issuance,Lender Specialization,and the Rise of the 144A Debt Market

Using a large sample of convertible and straight debt issues in the public, 144A, and bank loan markets from 1991 to 2004, we find that the 144A market has risen largely at the expense of the nonshelf public market, the overwhelming majority of the 144A issues are subsequently registered, and straight debt issuers with the highest credit quality and transparency tend to use the shelf public market. Our findings suggest that firms’ preference for speed of issuance drives the growth of the 144A market, and banks and qualified institutional buyers have advantages over public lenders in handling credit risk and information asymmetry.     

The impact of off-balance-sheet activities on banks returns: An application of the ARCH-M to Canadian data

This paper revisits the impact of off-balance-sheet (OBS) activities on banks risk-return trade-off. Recent studies (e.g., Stiroh and Rumble, 2006) show that increasing OBS activities does not necessarily yield straightforward diversification benefits for banks. However, introducing a risk premium in the standard banks returns models, and resorting to an ARCH-M procedure, Canadian data suggest that banks risk-return trade-off displays a structural break around 1997. In the second subperiod of our sample (1997–2007), we find that the noninterest income generated by OBS activities no longer impacts banks returns negatively. While during the first period (1988–1996) the volatility variable is not significant in any returns equations, a risk premium eventually emerges, pricing the risk associated to OBS activities.