The costs of non-tariff barriers to trade: Evidence from New Zealand

The Costs of Non-Tariff Barriers to Trade: Evidence from New Zealand. — Recent work on trade policy with imperfect competition indicates that the adverse effects of non-tariff barriers to trade exceed those suggested by traditional theory. With market power in foreign supply, setting a restrictive non-tariff barrier will induce foreign exporters to raise their supply prices. The authors use the experiment provided by the comprehensive New Zealand economic reforms of the mid-1980s. Using panel data on export unit values from Germany and the United States to several destinations including New Zealand, they find some evidence for decreased export prices to New Zealand as a result of the dismantling of non-tariff barriers to trade.     

Measuring Integrated Market and Credit Risk in Bank Portfolios: An Application to a Set of Hypothetical Banks Operating in South Africa

The banking crises of the ‘90s emphasize the need to model the connections between financial environment volatility and the potential losses faced by financial institutions resulting from correlated market and credit risks. Due to the number of variables that must be modeled and the complexity of the relationships an analytical solution is not feasible. We present here a numerical solution based on a simulation model that explicitly links changes in the relevant variables that characterize the financial environment and the distribution of possible future bank capital ratios. This forward looking quantitative risk assessment methodology allows banks and regulators to identify potential risks before they materialize and make appropriate adjustments to bank portfolio credit qualities, sector and region concentrations, and capital ratios on a bank by bank basis. It also has the potential to be extended so as to assess the risks of correlated failures among a group of financial institutions (i.e., systemic risk analyses). This model was applied by the authors to the study of the risk profile of the largest South African Banks in the context of the Financial System Stability Assessment program undertaken by the IMF in 1999. In the current study, we apply the model to various hypothetical banks operating in the South African financial environment and assess the correlated market and credit risks associated with business lending, mortgage lending, asset and liability maturity matches, foreign lending and borrowing, and direct equity, real estate, and gold investments. It is shown to produce simulated financial environments (interest rates, exchange rates, equity indices, real estate price indices, commodity prices, and economic indicators) that match closely the assumed parameters, and generate reasonable credit transition probabilities and security prices. As expected, the credit quality and diversification characteristics of the loan portfolio, asset and liability maturity mismatches, and financial environment volatility, are shown to interact to determine bank risk levels. We find that the credit quality of a bank's loan portfolio is the most important risk factor. We also show the risk reduction benefits of diversifying the loan portfolio across various sectors and regions of the economy and the importance of accounting for volatility shocks that occur periodically in emerging economies. Banks with high credit risk and concentrated portfolios are shown to have a high risk of failure during periods of financial stress. Alternatively, banks with lower credit risk and broadly diversified loan portfolios across business and mortgage lending are unlikely to fail even during very volatile periods. Asset and liability maturity mismatches generally increase bank risk levels. However, because credit losses are positively correlated with interest rate increases, banks with high credit risk may reduce overall risk levels by holding liabilities with longer maturities than their assets. Risk assessment methodologies which measure market and credit risk separately do not capture these various interactions and thus misestimate overall risk levels.     

Feature selection methods involving support vector machines for prediction of insolvency in non‐life insurance companies

We propose two novel approaches for feature selection and ranking tasks based on simulated annealing (SA) and Walsh analysis, which use a support vector machine as an underlying classifier. These approaches are inspired by one of the key problems in the insurance sector: predicting the insolvency of a non‐life insurance company. This prediction is based on accounting ratios, which measure the health of the companies. The approaches proposed provide a set of ratios (the SA approach) and a ranking of the ratios (the Walsh analysis ranking) that would allow a decision about the financial state of each company studied. The proposed feature selection methods are applied to the prediction the insolvency of several Spanish non‐life insurance companies, yielding state‐of‐the‐art results in the tests performed. Copyright © 2005 John Wiley & Sons, Ltd.     

Estimation of investment costs in fish processing plants

Investment costs for fish processing plants are hereby presented along with a detailed analysis of different types of processes in relation to economies of scale.The cost-capacity factor for fish industry is estimated as 0.84, except for fish meal plants where the cost-capacity factor is 0.61.It is also discussed how technology, capacity and location in developed and developing countries can affect investment costs for fish processing plants, while cost-capacity factors remain unchanged.The concept of minimum limit for industrial capacity is included. Investment costs for minimum size plants or plants below minimum size are even greater than what would correspond to the correlation line. This is due to the need to incorporate one or more oversized pieces of equipment.     

The Adjusted Big Mac Methodology: A Clarification

The Economist's adjusted Big Mac index takes GDP into account in currency valuation, but the methodology is not explained. We show that the key to understanding the methodology is to distinguish between a currency's bilateral valuation (versus a specific currency) and the currency's overall valuation (versus a “basket” of a large number of currencies). Also, the adjusted Big Mac estimates of intrinsic foreign exchange (FX) rates have been better forecasts of actual FX changes than those of the original “raw” Big Mac index.     

Tacit collusion in housing markets: the case of Santiago,Chile

In this article, using a detailed micro-database from Santiago, Chile, the potential existence of tacit collusion in housing markets is investigated. In order to perform the test, Santiago’s housing market is split into four different submarkets using hedonic price analysis and household’s socioeconomics characteristics. Then, using a GMM panel data model, regressions are run for each submarket, correlating industry’s markups with the aggregate level of activity. The main finding is that low and middle income submarkets present higher average markups and a pro-cyclical behaviour. This finding is consistent with a market where participants do not face capacity constraints and behave strategically to sustain tacit collusion during increasing demand periods.     

Seeing Without Looking: The Effects of Hemispheric Functioning on Memory for Brands in Computer Games

The authors hypothesize that the effectiveness of in-game advertising is influenced by two inborn traits, bisected hemispheric functioning and physiological arousal, that are at the core of human behavior. A 2 (preattentive processing type) × 2 (arousal level) between-subjects design was employed in both Experiment 1 (well-known brand placement) and Experiment 2 (lesser-known brand placement). The results from the two experiments reveal that people show better recognition memory for in-game ads when brand names are presented peripherally in the right visual field and brand images are embedded peripherally in the left visual field. In addition, people can remember more brand ads when they experience less arousal (Experiment 1). This effect, however, is attenuated when unfamiliar brands are placed in the game (Experiment 2). Implications are discussed for further investigation.     

Strategic Commitment and Timing of Internationalization from Emerging Markets: Evidence from China,India, Mexico,and South Africa

In a study of 257 new ventures from China, India, Mexico, and South Africa, we find support for the mediating effect of strategic early internationalization on international sales intensity. We argued that when new ventures from emerging markets internationalize early and with commitment, the legitimacy they acquire helps them overcome liabilities of newness and foreignness. We develop a typology of international new ventures that, based on strategic intent and timing of internationalization, distinguishes strategic early internationalizers from persistent, serendipitous, and long‐term internationalizers. We show that strategic early internationalization accounts for over half of the explained variance in international sales intensity and either fully or partially mediates the effects of managerial knowledge and market orientation on international sales intensity.     

Reflections on discriminant validity: Reexamining the Bove et al. (2009) findings

Bove, Pervan, Beatty and Shiu (2009) develop and test a latent variable model of the role of service workers in encouraging helpful behaviors by customers towards the service business (OCBs). Farrell (2010) questions these findings due to an incorrect application of the Fornell and Larcker (1981) discriminant validity test. The authors respond to Farrell's criticism by discussing the options available for assessing discriminant validity, the current use of these options in top journals, the underlying assumptions of these assessments, and the appropriateness of the alternative assessments under different types of situations. Finally, the authors address the specific concerns raised in Farrell (2010) in regard to Bove et al. (2009).     

International trade of GMO-related agricultural products

This paper examines the international trade of a variety of genetically modified (GM) food products over a 27-year period (1984–2011) with data from the United Nations using the tools of social network analysis. The results indicate that each of the different crops have a distinctive pattern of trade that has changed over time due to a number of different factors. Also, trade in agricultural commodities became more diversified over time, dominated less by the United States and other nations central in the trade networks and trade in the individual GM crops was stable over time. Countries maintained their trading partners for specific crops, despite the adoption of the genetically modified varieties. The economic implications of these results are discussed for specific countries.