Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach

While univariate nonparametric estimation methods have been developed for estimating returns in mean-downside risk portfolio optimization, the problem of handling possible cross-correlations in a vector of asset returns has not been addressed in portfolio selection. We present a novel multivariate nonparametric portfolio optimization procedure using kernel-based estimators of the conditional mean and the conditional median. The method accounts for the covariance structure information from the full set of returns. We also provide two computational algorithms to implement the estimators. Via the analysis of 24 French stock market returns, we evaluate the in-sample and out-of-sample performance of both portfolio selection algorithms against optimal portfolios selected by classical and univariate nonparametric methods for three highly different time periods and different levels of expected return. By allowing for cross-correlations among returns, our results suggest that the proposed multivariate nonparametric method is a useful extension of standard univariate nonparametric portfolio selection approaches.     

Purchasing Power Parity under Regime Shifts: An Application to Asian Countries*

This paper re‐examines the long‐run purchasing power parity (PPP) relationship for nine Asian countries relative to the USA and Japan during a period containing significant structural breaks. The relevance of considering structural breaks in PPP tests is demonstrated by utilizing the Johansen et al. (2000) procedure that allows for up to two pre‐determined structural breaks. Using conventional tests without considering breaks, one is able to reject the null of no cointegration for only four countries. The Johansen et al. procedure clearly demonstrates the importance of allowing for structural breaks and provides strong support for long‐run PPP for all the countries, regardless of the base country, except in the case of the Philippines vis‐à‐vis Japan. The Hansen–Johansen parameter constancy test indicates stability for all the countries except the Philippines relative to the USA and Malaysia relative to Japan.     

The Role of Telepresence and User Engagement in Co-Creation Value and Purchase Intention: Online Retail Context

Using the technology of three-dimensional (3D) product presentation within online retailing, the current study aims to explore the role of telepresence and its determinants (control, color vividness, and 3D authenticity) in enhancing user engagement, which in turn impacts co-creation value and purchase intention. To test the proposed hypotheses, this research developed a hypothetical online retailer website, which presented a variety of 3D laptops that users could co-create, change the color, and control the content and form of. This research collected the data from Jordanian consumer panel members via online self-administered questionnaires. This research finds that control, color vividness, and 3D authenticity are the main determinants of telepresence. Furthermore, this research finds that telepresence has a positive impact on user engagement, which in turn positively impacts co-creation value and purchase intentions. This research finds that co-creation value impacts purchase intentions. The current findings contribute to the online retailing literature by connecting user engagement with co-creation value, as previous research had focused on one of them but not the link between them.     

What drives global B2B e-commerce usage: an analysis of the effect of the complexity of trading system and competition pressure

The purpose of this paper is to examine the conditions in which B2B e-commerce is most likely to diffuse widely at the country level. This paper examines the role of trading system complexity and pressure of competition on B2B EC diffusion by controlling Gross domestic product (GDP) per capita and Information and Communication Technology (ICT) infrastructure. Our sample comprises a pool of country-year dataset from 143 countries over a three-year period (2014–2016). The data were collected from Network Readiness Index Report and Global Competitiveness Report. The findings provide evidence that greater the complexity of trading relationships with the global economy and high level of pressure from the competition are the main forces for B2B use across countries. Consequently, the authors suggest that having a strong trade relationship with developed countries with matured B2B e-commerce practice is helpful in sustaining B2B e-commerce use across countries.     

Is the causal nexus of energy utilization and economic growth asymmetric in the US?

This paper re-examines the causal nexus of energy utilization and GDP per capita in the US. The novelty of the paper is to allow for asymmetry in causality by using a new test introduced by Hatemi-J (forthcoming). A bootstrap procedure is used with leveraged corrections that perform more accurately when the statistical assumptions for validity of asymptotic distributions are not fulfilled. This is especially the case for sample sizes as in the current paper. The estimation results reveal strongly that a negative energy consumption shock will cause a negative shock in the output per capita. That is, if the energy utilization per capita decreases then the output per capita will also decrease. Surprisingly, such a causal impact for positive shocks is not found. These empirical results might indicate that there is an optimal quantity of energy in the US that needs to be consumed as otherwise the economic growth will suffer. However, the consumption of energy beyond that optimal quantity will not necessarily result in an enhanced rate of economic growth.     

Pooling surveys in the estimation of income and price elasticities: An application to Tunisian households

This paper presents a methodological extension of Deaton's (1990) model for estimating price elasticities, by pooling Tunisian data from several surveys to improve the inter-cluster variability of unit values which is one of the key elements used in the derivation of these elasticities. Since the surveys cover a relatively long period, possible structural changes in consumption behaviour occurring over time are accounted for by postulating that certain response coefficients of the basic model vary from one survey to the other. The own price and cross price elasticities calculated using appropriate estimates of the extended model are satisfactory both from the economic point of view of their sign and the statistical point of view of their significance and superior to those obtained using a single survey. First version received: April 2000/Final version received: June 2001 RID="*" ID="*"  The authors would like to thank Angus Deaton and anonymous referees for useful comments and suggestions.     

ASIAN REAL EXCHANGE RATES AND OIL PRICES: A COINTEGRATION ANALYSIS UNDER STRUCTURAL BREAKS

We examine the long‐run relationship between Asian real exchange rates and oil prices in the presence of structural breaks. The relevance of considering breaks is demonstrated by utilizing the Johansen et al. procedure that allows for up to two predetermined breaks. Using conventional tests that do not consider breaks reveals no evidence of cointegration. However, the Johansen et al. procedure clearly demonstrates the importance of considering breaks and provides strong support for a stable long‐run relationship in all but Japan and the Philippines. Moreover, the results suggest evidence of bi‐directional causality in Malaysia and Thailand, uni‐directional causality from exchange rates to oil prices in Korea, the Philippines, and Singapore, uni‐directional causality from oil prices to the exchange rate in Indonesia, and no evidence of causality in Japan.     

Understanding the Relationship between Inflation and Growth: A Wavelet Transformation Approach in the Case of Bangladesh

This paper re‐examines the relationship between inflation and economic growth in developing countries. Both the theoretical and the empirical literature are extremely divided on this issue. We apply a relatively new empirical technique – the continuous wavelet transform – to Bangladesh. Bangladesh is of interest because of its remarkable economic growth and poverty reduction during the last 30 years in combination with, for a developing country, a controlled inflation. The wavelet analysis is a contribution because it displays how the correlation and the lead–lag structure between variables change over timescales, taking into account that growth and inflation can follow several different cycles. Comovements between variables are generally studied in the time domain. Results from studies in the time‐domain study can be sensitive to the frequency of observations. On the other hand, studies in the frequency domain are not easily translated into time domains that can be associated with economic policies. The wavelet methodology finds a balance between time and frequency domains. Our study finds that growth Granger causes inflation at all frequency scales, starting from the short run to the very long run. Inflation, on the other hand, Granger causes growth in the long run but not in the short run. This result has implications for Bangladesh, and as such for similar developing countries, where some policymakers believe that inflation must be kept at very low levels for sustained economic growth.