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.

     

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.     

Location decisions of knowledge-based entrepreneurs: Why some Catalan KISAs choose to be rural?

Entrepreneurship has currently become an important element of economic development and innovation policy. In this context, the promotion of knowledge-based firms has become the norm, even in rural areas. Thus, the study presented in this paper analyses the variables that influence the choice of location made by rural and urban knowledge intensive service activity firms (KISA, hereafter). The results of the quantitative study allows for important policy making recommendations, but also offers significant contributions for entrepreneurship and regional development researchers, as well as practical insights for entrepreneurs.     

Factor MIDAS for Nowcasting and Forecasting with Ragged‐Edge Data: A Model Comparison for German GDP*

In this article, we merge two strands from the recent econometric literature. First, factor models based on large sets of macroeconomic variables for forecasting, which have generally proven useful for forecasting. However, there is some disagreement in the literature as to the appropriate method. Second, forecast methods based on mixed‐frequency data sampling (MIDAS). This regression technique can take into account unbalanced datasets that emerge from publication lags of high‐ and low‐frequency indicators, a problem practitioner have to cope with in real time. In this article, we introduce Factor MIDAS, an approach for nowcasting and forecasting low‐frequency variables like gross domestic product (GDP) exploiting information in a large set of higher‐frequency indicators. We consider three alternative MIDAS approaches (basic, smoothed and unrestricted) that provide harmonized projection methods that allow for a comparison of the alternative factor estimation methods with respect to nowcasting and forecasting. Common to all the factor estimation methods employed here is that they can handle unbalanced datasets, as typically faced in real‐time forecast applications owing to publication lags. In particular, we focus on variants of static and dynamic principal components as well as Kalman filter estimates in state‐space factor models. As an empirical illustration of the technique, we use a large monthly dataset of the German economy to nowcast and forecast quarterly GDP growth. We find that the factor estimation methods do not differ substantially, whereas the most parsimonious MIDAS projection performs best overall. Finally, quarterly models are in general outperformed by the Factor MIDAS models, which confirms the usefulness of the mixed‐frequency techniques that can exploit timely information from business cycle indicators.     

Part-time work, school success and school leaving

In this paper, we analyse part-time employment of teenagers still in full-time education, their academic performance, and their school leaving decisions. Our estimation strategy takes account of the possible interdependencies of these events and distinguishes between two alternative states to full time education: entering the labour force full time and going on to further training. We model this decision in a flexible way. Our analysis is based on data from the UK National Child Development Study, which has an unusually rich set of variables on school and parental characteristics. Our main finding is that working part time while in full-time education has only small adverse effects on exam performance for females, and no effects for males. The effect of part-time work on the decision to stay on at school is also negative, but small, and marginally significant for males, but not for females. Other important determinants of exam success as well as the continuation decision are parental ambitions about the child’s future academic career.     

Catastrophe Bonds and Reinsurance: The Competitive Effect of Information-Insensitive Triggers

We identify a new benefit of index or parametric triggers. Asymmetric information between reinsurers on an insurer's risk affects competition in the reinsurance market: reinsurers are subject to adverse selection, since only high-risk insurers may find it optimal to change reinsurers. The result is high reinsurance premiums and cross-subsidization of high-risk insurers by low-risk insurers. A contract with a parametric or index trigger (such as a catastrophe bond) is insensitive to information asymmetry and therefore alters the equilibrium in the reinsurance market. Provided that basis risk is not too high, the introduction of contracts with parametric or index triggers provides low-risk insurers with an alternative to reinsurance contracts, and therefore leads to less cross-subsidization in the reinsurance market.