Global financial crisis and dependence risk analysis of sector portfolios: a vine copula approach

We use regular vine (r-vine), canonical vine (c-vine) and drawable vine (d-vine) copulas to examine the dependence risk characteristics of three 20-stock portfolios from the retail, manufacturing and gold-mining equity sectors of the Australian market in periods before, during and after the 2008–2009 global financial crisis (GFC). Our results indicate that the retail portfolio is less risky than the manufacturing counterpart in the crisis period, while the gold-mining portfolio is less risky than both the retail and manufacturing sector portfolios. Both the retail and gold stocks display a higher propensity to yield positively skewed returns in the crisis periods, contrary to the manufacturing stocks. The r-vine is found to best capture the multivariate dependence structure of the stocks in the retail and gold-mining portfolios, while the d-vine does it for the manufacturing stock portfolio. These findings could be used to develop dependence risk- and investment risk-adjusted strategies for investment, rebalancing and hedging which more adequately account for the downside risk in various market conditions.     

Tail dependence risk exposure and diversification potential of Islamic and conventional banks

This paper undertakes a rolling window comparative analysis of risks for portfolios consisting of GCC Islamic and conventional bank indices. We draw our empirical results by employing canonical, drawable and regular vine copula models, as well as by implementing a portfolio optimization method with a conditional Value-at-Risk constraint. We find evidence of higher riskiness in the group of Islamic banks relative to the group of conventional banks across each of the financial rolling window scenarios under consideration. Specifically, a greater negative (nonlinear) tail asymmetric dependence is observed in the pairs of Islamic banks’ relationships. The results also show that the optimal portfolio model supports a clear preference towards the group of conventional banks in regard to risk minimization and diversification benefits.     

Intermediation for technology diffusion and user innovation in a developing rural economy: a social learning perspective

Technology intermediaries are seen as potent vehicles for addressing perennial problems in transferring technology from university to industry in developed and developing countries. This paper examines what constitutes effective user-end intermediation in a low-technology, developing economy context, which is an under-researched topic. The social learning in technological innovation framework is extended using situated learning theory in a longitudinal instrumental case study of an exemplar technology intermediation programme. The paper documents the role that academic-related research and advisory centres can play as intermediaries in brokering, facilitating and configuring technology, against the backdrop of a group of small-scale pisciculture businesses in a rural area of Colombia. In doing so, it demonstrates how technology intermediation activities can be optimized in the domestication and innofusion of technology amongst end-users. The design components featured in this instrumental case of intermediation can inform policy making and practice relating to technology transfer from university to rural industry. Future research on this subject should consider the intermediation components put forward, as well as the impact of such interventions, in different countries and industrial sectors. Such research would allow for theoretical replication and help improve technology domestication and innofusion in different contexts, especially in less-developed countries.     

Dinámica de la inversión extranjera directa en los estados de México: un análisis de cadenas de Markov espaciales

The aim of this investigation is to analyze the evolution of the spatio-temporal distribution of foreign direct investment (FDI) across Mexican states. The literature that analizes foreign direct invesment in Mexico is numerous and diverse; however, it is argued that the analysis of the spatio-temporal distribution of FDI conditioned to spatial interaction effects in Mexico, is still absence. In this sense, by applying the spatial Markov chain approach as proposed by Rey (2001), we found a divergence process in the FDI inflows among mexican states that seems to get stronger over time. In particular, during the period from 2006 to 2013, the process of divergence towards higher-FDI-inflows quantiles occurs among states spatially associated with neighbors in lower-FDI-quantiles.     

Transferring technology from university to rural industry within a developing economy context: The case for nurturing communities of practice

The primary aim of this paper is to demonstrate how technology transfer between universities and rural industries in developing countries can be achieved effectively, using independent research and advisory centres as intermediaries. It draws on a longitudinal action research study, which experiments with the process of nurturing and bridging communities of practice amongst recipients of technology and stakeholders concerned with technology diffusion, productivity and economic development. Its empirical evidence is from an academic-related, non-government intervention initiative targeting two small-scale industries, namely fish farming and coffee production, in the Cauca region of Colombia. Results demonstrate how barriers to transfer can be overcome. The intervention is considered as instrumental; its key components and outcomes are discussed in detail.     

Innovación tecnológica como mecanismo para impulsar el crecimiento económico Evidencia regional para México

The aim of this paper is to analyze the role of technological innovation in the dynamics of regional economic growth in Mexico. For this purpose, a model which involves a function of innovation and a production function to set the level of interaction between the variables of innovation and economic growth is used. For the econometric analysis statistical information by state is used, for the 1994-2008 period. A model is estimated with panel data, with results that show a positive and differentiated effect between variables that incorporate some degree of technological innovation such as patents, R & D expense, among others, as well as Gross Domestic Product (GDP) growth.     

Dynamic of foreign direct investment in the states of Mexico: An analysis of Markov's spatial chains

The aim of this investigation is to analyze the evolution of the spatio-temporal distribution of foreign direct investment (FDI) across Mexican states. The literature that analyzes foreign direct investment in Mexico is numerous and diverse; however, it is argued that the analysis of the spatio-temporal distribution of FDI conditioned to spatial interaction effects in Mexico is still absent. In this sense, by applying the spatial Markov chain approach as proposed by Rey (2001), we found a divergence process in the FDI inflows among Mexican states that seem to get stronger over time. In particular, during the period from 2006 to 2013, the process of divergence toward higher-FDI inflows quantiles occurs among states spatially associated with neighbors in lower-FDI quantiles.     

Insights from machine learning for evaluating production function estimators on manufacturing survey data

Journal of Productivity Analysis - National statistical organizations often rely on non-exhaustive surveys to estimate industry-level production functions in years in which a full census is not...