Collective mental accounting: an integrated behavioural portfolio selection model for multiple mental accounts

We propose a behavioural portfolio selection model called collective mental accounting (CMA), which integrates all mental sub-portfolios (mental accounts) in one mathematical model. Moreover, this study contributes to the literature of behavioural portfolio selection in three further ways: first, the CMA model can determine the proportions of wealth allocated to each mental sub-portfolio with and without input from the investor. Second, unlike other mental accounting models (MA), in CMA it is possible to define constraints on total asset holdings such as short-selling, and cardinality constraints. Third, in order to make CMA more tractable and mathematically elegant, we obtain a semi-definite programming representation of the model. We also present a numerical example to investigate the effects of short-selling constraints as well as to compare the portfolio recommendations, utility functions, feasibility, and optimality of the CMA and MA models. The results reveal that although both models’ solutions are mean-variance efficient, CMA outperforms MA in terms of behavioural efficient frontier and utility functions.     

Testing hysteresis effect in U.S. state unemployment: new evidence using a nonlinear quantile unit root test

We revisit hysteresis effect in the unemployment rate of each of the 52 states of the United States using nonlinear quantile unit root test over the period 1976M1–2016M7. Our results indicate that unemployment rate of the U.S. economy as a whole displays hysteresis effect over recessionary periods. Nineteen out of 52 states display hysteresis behaviour over the period 1976–2016. For the remaining 33 states, we find four types of behaviours. Some states display stationarity behaviour almost in all quantiles. Some display hysteresis over recessionary periods and in contrast some display hysteresis over expansion period.     

Re-testing Prebisch–Singer hypothesis: new evidence using Fourier quantile unit root test

The Prebisch–Singer hypothesis in economics asserts that over time the relative price of primary goods relative to manufactured goods should experience a downward trend. To test the hypothesis, we must first establish the unit root properties of the relative price term and then regress the stationary series on a trend term. We use the quantile unit root test which allows for both smooth unknown numbers and the form of breaks in the trend function through a Fourier function to show that the relative price of 23 out of 24 primary goods is stationary. However, the Prebisch–Singer hypothesis is supported only in half of the primary commodities.     

What happened to complex product systems literature over the last two decades: progresses so far and path ahead

Complex product systems (CoPS) industries largely contribute to industrial development, economic growth and creation of national wealth in both developed and developing economies. CoPS also show a number of specific characteristics as a distinctive category of industrial products in comparison with mass-produced consumer goods. These aspects have attracted the attention of scholars to study CoPS over the last two decades, resulting in a fairly extensive body of literature on the subject. However, there is a further need to connect research findings in this area, to illustrate a macro view of the development in the field, explore common themes, and identify possible paths into the future. This study aims to contribute to these ends by: (i) exploring the quantitative aspects of the CoPS literature; (ii) illustrating topical classification of CoPS studies and their findings; and (iii) suggesting opportunities for future research through examining common trends and unresolved issues in the literature.     

Residents’ perceptions of tourism development – implications for small economies business: the case study of Ali Sadr,Iran

Ali Sadr Cave is the world's largest water cave and is a protected national heritage of Iran. This paper examines the residents’ perceptions of tourism development. In total, 250 residents of Ali Sadr village were interviewed. To improve the economic outcomes of the exchange between individuals from various cultural backgrounds, it is important to resolve the conflicts between residents and international tourists. In the management of tourism in the region, the local people who strongly support tourism development are not involved much. This paper concludes with recommendations for tourism managers to improve the economic outcomes of local people through tourism development.     

Income Convergence in African Countries: Evidence from a Stationary Test With Multiple Structural Breaks

This paper examines the catching‐up (stochastic convergence in real per capita income) hypothesis for 52 African countries with respect to the USA. over the 1969‐2011 period, using a highly flexible stationarity test. The empirical results show (i) that all African countries experienced at least one break, switching between catching‐up and divergence paths during the sample period; (ii) that structural breaks tend to coincide with political instability, trade liberalisation policies and terms of trade shocks; (iii) that among the 52 African countries studied, only five lie on the catching‐up path, while the remaining 47 diverge from the USA. Our results show that the economic performance of African countries fall far behind those of the USA and that the economic growth tragedy of Africa continues.     

Statistical Approaches to Forecasting Domestic Energy Consumption and Assessing Determinants: The Case of Nordic Countries

The residential sector accounts for large share of total annual energy use in the Nordic countries due to the extremely cold climates and high household heating demand. Most domestic energy consumption in the Nordic countries is for space heating and providing hot water. The purpose of our study was to forecast the annual energy consumption of the Nordic residential sectors by 2020 as a function of socio-economic and environmental factors, and to offer a framework for the predictors in each country.

Our research models the domestic energy use in Nordic countries based on social, economic and environmental factors. Applying the multiple linear regression (MLR), multivariate adaptive regression splines (MARS), and the artificial neural network (ANN) analysis methodologies, three models have been generated for each country in the Nordic region. Using these models, we forecasted the Nordic countries domestic energy use by 2020 and assessed the causal links between energy consumption and the investigated predictors. The results showed that the ANN models have a superior capability of forecasting the domestic energy use and specifying the importance of predictors compared to the regression models. The models revealed that changes in population, unemployment rate, work force, urban population, and the amount of CO₂ emissions from the residential sectors can cause significant variations in Nordic domestic sector energy use.     

Non-linear quantile unit root test and PPP: more evidence from Africa

It is now a common practice to establish stationarity of the real exchange rate as a sign of purchasing power parity (PPP) hypothesis. In this article, we consider the real effective exchange rates of 29 African countries. When we apply conventional linear unit root tests, we find support for the PPP in eight countries. However, when we shift to the newly introduced non-linear quantile unit root test, support for the PPP increases to 15 countries.     

An empirical analysis of the Carbon Financial Instrument

This study provides an empirical investigation of the price volatility—trading volume relationship for the Carbon Financial Instrument (CFI). A CFI is a financial contract that is traded on the Chicago Climate Exchange (CCX) and represents the right to emit 100 metric tons of CO₂ equivalent. CFI contracts differ from one another on the basis of their allocation year to CCX member firms, referred to as their respective Vintage year. We provide evidence indicating a positive contemporaneous relationship between price changes and trading volume for the different CFI Vintage contracts. Employing bivariate VAR models that adjust for trade duration, we find that CFI price volatility and trading volume are persistent across time. Furthermore, we provide evidence indicating that lagged volume increases price volatility, in addition to lagged price volatility increasing trading volume levels in the CCX market. Our results are in agreement with prior research documenting significant positive price volatility—volume relationships in traditional equity markets.