Lessons Learned from Public–Private Partnerships in Indonesia’s Water Sector

This paper surveys officials involved in public–private partnerships (PPPs) in the water sector in order to examine the differing motives of Indonesian actors in adopting PPPs. It also analyses the challenges of vertical coordination across different levels of government in PPP programs. We find that four motives for adopting PPPs are perceived differently by central government respondents and subnational government respondents. However, no significant differences are found between the two groups’ perceptions of the importance of vertical coordination problems. These results highlight the need for local capacity-building programs and improved coordination mechanisms to enhance PPP adoption and implementation in the water sector.     

Forward-looking portfolio selection with multivariate non-Gaussian models

In this study, we suggest a portfolio selection framework based on time series of stock log-returns, option-implied information, and multivariate non-Gaussian processes. We empirically assess a multivariate extension of the normal tempered stable (NTS) model and of the generalized hyperbolic (GH) one by implementing an estimation method that simultaneously calibrates the multivariate time series of log-returns and, for each margin, the univariate observed one-month implied volatility smile. To extract option-implied information, the connection between the historical measure P and the risk-neutral measure Q, needed to price options, is provided by the multivariate Esscher transform. The method is applied to fit a 50-dimensional series of stock returns, to evaluate widely known portfolio risk measures and to perform a forward-looking portfolio selection analysis. The proposed models are able to produce asymmetries, heavy tails, both linear and non-linear dependence and, to calibrate them, there is no need for liquid multivariate derivative quotes.     

Investigating social motivations,opportunity and ability to participate in communities of virtual co‐creation

Communities of virtual co‐creation are emerging as a new form of consumer engagement, where through a collaborative and interactive process, ideas and knowledge from consumer are applied differently to create new value for the consumers themselves, the company and all stakeholders. The aim of this paper is to explore the drivers, namely motivation, opportunity and ability, of consumer willingness to participate in communities of virtual co‐creation. The role of social motivations, that is, altruism and social reputation, particularly relevant inside online communities, is investigated. Data were collected through an online survey on 180 consumers from diverse nationalities. The unit of analysis was a virtual co‐creation activity for food products. Findings show that consumer motivation and ability have a relevant influence on willingness to participate in co‐creation projects, while opportunity has not. In particular, ability showed to be the most relevant factor, suggesting that virtual co‐creation initiatives should be properly designed to facilitate the engagement of consumers. Further, results indicate that consumers' motivations are driven by both altruism and social reputation, where altruism plays a greater role. This confirms that social relations are key motivational drivers in virtual communities, where value is created through interaction with like‐minded people, exchange of information and experiences, provision of support.     

Euro depreciation and trade asymmetries between Germany and Italy versus the US: industry-level estimates

Since April 2014 to March 2015, the European Central Bank expansionary monetary policy instigates a huge depreciation of the euro in terms of dollar. According to the mainstream monetary theory, these dynamics should make the exports cheaper and at the same time make the imports more expensive. Has real depreciation of the euro helped in the improvement of European countries’ trade balances? Following the main methodologies in the recent literature, our study analyses the effects of this depreciation both for Italy and Germany towards the US. We use industry-level data at monthly frequency. The results are different from each bilateral relationship. We find that 11 industries register a long-run improvement (8 for Italy and 3 for Germany). The J-curve effect is proven just in six cases, always for Italy. The inverted J-curve effect is proven in eight cases, four for Germany, and four for Italy. These results seem to be an indirect demonstration of the structural asymmetries between German and Italian economies: German economic system is more able to be competitive with a strong currency, than Italy.     

Testing for Opaqueness in the European Banking Industry: Evidence from Bond Credit Ratings

The question of whether banks are relatively more opaque than non-banking firms is empirically investigated by analyzing the disagreement between rating agencies (split ratings) on 2,473 bonds issued by European firms during the 1993–2003 period. Four main results emerge from the empirical analysis. First, fewer bank issues have split ratings overall, but the predicted probability of a split rating is higher for banks after controlling for risk and other issue characteristics. Second, subordinated bonds are subject to more disagreement between rating agencies. Third, bank opaqueness increases with financial assets and decreases with bank fixed assets. Fourth, bank opaqueness increases with bank size and capital ratio. The implications of these findings for regulatory policy are also discussed. All errors remain those of the author. This paper was prepared while the author was visiting the Department of Finance, Insurance and Real Estate at the Graduate School of Business Administration, University of Florida.     

The contribution of Design Thinking to the R of R&D in technological innovation

Literature on Design Thinking has mainly focused on whether its key principles enhance performance in the development phase (the D of R&D) of the technological innovation process. However, it has dedicated scant attention to the earlier research phase (the R of R&D). This aspect is surprising, given that many innovations fail as a result of early research actions and decisions. This article examines how it is possible and desirable to apply Design Thinking to the research phase of the technological innovation process. How can Design Thinking support innovation, even when advanced breakthrough technologies are at stake, the market is distant, and product applications and specific user needs have not been identified yet? To respond to this question, we investigate the research work of the design center of a global electronics company that uses a design approach called Proxemics to envision future interactions between bodies (people), objects (technology), and spaces (context). Although Proxemics is consistent with and implements the human centeredness and experimentation principles of Design Thinking, results of this study show that its logics and tools are different from those used in Design Thinking in the D of R&D due to the more abstract nature of the tasks in the R of R&D.     

Tempered stable and tempered infinitely divisible GARCH models

In this paper, we introduce a new GARCH model with an infinitely divisible distributed innovation. This model, which we refer to as the rapidly decreasing tempered stable (RDTS) GARCH model, takes into account empirical facts that have been observed for stock and index returns, such as volatility clustering, non-zero skewness, and excess kurtosis for the residual distribution. We review the classical tempered stable (CTS) GARCH model, which has similar statistical properties. By considering a proper density transformation between infinitely divisible random variables, we can find the risk-neutral price process, thereby allowing application to option-pricing. We propose algorithms to generate scenarios based on GARCH models with CTS and RDTS innovations. To investigate the performance of these GARCH models, we report parameter estimates for the Dow Jones Industrial Average index and stocks included in this index. To demonstrate the advantages of the proposed model, we calculate option prices based on the index.     

Testing for convergence: evidence from non-parametric multimodality tests

In this paper, we test the convergence hypothesis in a cross-section of 119 countries by means of bootstrap multimodality tests and nonparametric density estimation techniques. By looking at the density distribution of GDP across countries in 1970, 1980 and 1989, we find low mobility patterns of intra-distribution dynamics and increasing evidence for bimodality. The findings stand in sharp contrast with the convergence prediction. © 1997 John Wiley & Sons, Ltd.     

Exploring Urban Consumers’ Attitudes and Intentions to Purchase Local Food in Chile

Although local food consumption is growing in importance, there remains a lack of research addressing local food consumption preferences in less developed countries. This article aims to examine the drivers of local food purchase intentions for Chilean consumers. A model of local food behavioral intention was developed from consumer behavior theory. The model was tested using structural equation modeling with data from Chilean shoppers located in Santiago (n = 283). The analysis revealed that Chilean consumers are willing to purchase local food based on their positive attitude toward buying local food and their feelings of connectedness with the environment, but not because they have a desire to support local businesses. These findings have implications for retailers, marketers, and food producers.     

Equity risk versus retirement adequacy: asset allocation solutions for KiwiSaver

New Zealand's KiwiSaver superannuation system operates with a conservatively low asset allocation towards equity investments. Evidence suggests ‘conservative’ portfolios are riskier than portfolios holding more growth assets when considering shortfall risk. This study employs stochastic simulation to determine the optimal asset allocation to improve the balance of probabilities for retirement adequacy. The findings show that KiwiSaver default funds are excessively conservative, preventing investors from reaching their retirement goals. Increasing the asset allocation to equities across the range of available KiwiSaver funds is the only solution to significantly improve retirement adequacy in New Zealand given the low contribution rates observed.