Tourism development in the SADC region: The opportunities and challenges

This article presents an assessment of recent tourism performance in the countries of the Southern African Development Community region, as well as an evaluation of future prospects. It examines growth rates and source markets in developing a profile of current tourism to the region. It identifies and assesses the current and probable future impact of a range of issues and problems, which are serving either to help or hinder tourism development. It suggests necessary actions for facilitating the accelerated development of tourism. The article also analyses the countries' tourism development policies and their competitive standing with other parts of Africa and other world regions from the market's viewpoint. It evaluates future growth prospects for the region by relating these various strands of analysis to the assessments made in the World Tourism Organization's Tourism 2020 vision study. The conclusion is one of qualified optimism: the natural and sociocultural resources of the region match the growing tastes of the international tourism market but, without concerted action to improve international access and tackle the major (real and imagined) threats to tourist safety prevailing in the region, growth rates will continue to be below their potential. The region's physical remoteness from the military theatre of action consequent to the 11 September 2001 terrorist attacks in the United States could well bring the countries of the SADC, and especially South Africa, some benefit from being perceived in tourist-generating markets as safe from these activities.     

A simplified pricing model for volatility futures

We develop a general model to price VIX futures contracts. The model is adapted to test both the constant elasticity of variance (CEV) and the Cox–Ingersoll–Ross formulations, with and without jumps. Empirical tests on VIX futures prices provide out‐of‐sample estimates within 2% of the actual futures price for almost all futures maturities. We show that although jumps are present in the data, the models with jumps do not typically outperform the others; in particular, we demonstrate the important benefits of the CEV feature in pricing futures contracts. We conclude by examining errors in the model relative to the VIX characteristics. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:307–339, 2011     

Start-up and hiring practices of immigrant entrepreneurs: An empirical study from an evolutionary psychological perspective

Strong social ties embedded in ethnic communities of immigrant populations have been considered key assets for immigrant entrepreneurs. However, little research has been done on how biological kinship and the biological theories of altruism influence the behavior of ethnic entrepreneurs. In this study, we have applied a neo-Darwinian evolutionary theory of kinship to examine adaptive functions of kin and ethnic altruism in business start-up and hiring practices of Korean immigrant entrepreneurs in the United States. We confirmed that the patterns of help received by Korean entrepreneurs for business start-ups were congruent with an evolutionary perspective on altruism. However, the results for hiring patterns suggested that customer ethnicity trumped kin and co-ethic interests. We close by offering suggestions for future research.     

Volatility due to offshoring: Theory and evidence

Existing models of offshoring are not equipped to explain how global production sharing affects the volatility of economic activity. This paper develops a trade model that can account for why offshoring industries in low wage countries such as Mexico experience fluctuations in employment that are twice as large as in high wage countries such as the United States. We argue that a key to explaining this outcome is that the extensive margin of offshoring responds endogenously to shocks in demand and transmits those shocks across borders in an amplified manner. Empirical evidence supports the claim that the extensive margin of offshoring is an active margin of adjustment, and quantitative simulation experiments show that the degree of movement of this margin in the data is sufficient to explain relative employment volatility in Mexico and the U.S.     

FORECASTING VOLATILITY WITH THE MULTIFRACTAL RANDOM WALK MODEL

We study the problem of forecasting volatility for the multifractal random walk model. In order to avoid the ill‐posed problem of estimating the correlation length T of the model, we introduce a limiting object defined in a quotient space; formally, this object is an infinite range log volatility. For this object and the nonlimiting object, we obtain precise prediction formulas and we apply them to the problem of forecasting volatility and pricing options with the MRW model in the absence of a reliable estimate of σ and T.