Buy Local! Familiarity and Preferences for Extra Virgin Olive Oil of Italian Consumers

Over the last few years, the origin of the local product has played a central role in consumer choices. This study explores what Italian consumers want and look for when purchasing olive oil by combining a web-based survey and a perceived analysis technique. In particular, preferences for different olive oil attributes as well as the psychographic traits of respondents were revealed through a web-based questionnaire administered to Italian consumers (N = 179). From this questionnaire, respondents who indicated their availability to participate further underwent a preference test under blind conditions (N = 99). Respondents also did an expectation test based on the visual observation of the labels. Results showed that the majority of consumers considered local production, PDO and region as factors of highest importance in determining olive oil quality.     

Influence of European Law on Argentinian Consumer Law

Journal of Consumer Policy - This article provides an overview on the social and political contexts of the rise of consumer legislation in Argentina, on the development of consumer law in Argentina...     

Risk factors in Australian bond returns

This study examines the risk factors in Australian bond returns. The study quantifies bond liquidity and estimates a liquidity risk factor in the Australian setting. We develop a three‐factor asset pricing framework that uses term, default and liquidity risk factors to explain the variation of Australian bond returns. Our findings corroborate the US evidence on the pervasiveness of these risk factors faced by bond investors. The three‐factor model developed in this study has practical applications when calculating the cost of debt, evaluating the performance of an active bond fund manager and hedging underlying risk in a bond portfolio.     

MODELING THE EVOLUTION OF EXPECTATIONS AND UNCERTAINTY IN GENERAL EQUILIBRIUM

We develop methods to solve general equilibrium models in which forward‐looking agents are subject to waves of pessimism, optimism, and uncertainty that turn out to critically affect macroeconomic outcomes. Agents in the model are fully rational and conduct Bayesian learning, and they know that they do not know. Therefore, agents take into account that their beliefs will evolve according to what they will observe. This framework accommodates both gradual and abrupt changes in beliefs and allows for an analytical characterization of uncertainty. We use a prototypical Real Business Cycle model to illustrate the methods.     

Exploring the role of human resources in technology out-licensing:an empirical analysis of biotech newtechnology-based firms

Out-licensing is a technology exploitation option to generate revenues without investing in downstream complementary assets. Despite its increasing strategic relevance, the strong complexity of out-licensing activity determines a substantial discrepancy in firms’ ability to extract monetary benefits from this practice. Searching for determinants of out-licensing performance, the paper focuses in particular on the role of licensing managers. Based on a multiple case study analysis involving 26 out-licensing deals executed in seven Italian biotech NTBFs, the study shows that expert scientific skills, extensive licensing practice and prior employment in multinationals, but not an intense social network, characterise successful licensing managers, while high delegation and powerful intrinsic rewards enable individual capacities of licensing managers to translate into actual economic value.     

Consumer Brand Loyalty in the Chilean Wine Industry

Worldwide, the wine industry has become tremendously competitive, with new world wine countries, such as Chile, Australia, New Zealand, and South Africa becoming relevant players. Consumers are increasingly offered a broad range of wine brands in supermarkets, restaurants, and wine stores. Consequently, wine marketing managers are required to develop strategies for building consumer brand loyalty for their own wines. This study attempts to investigate this issue and tests a model of antecedents of wine brand loyalty with 300 consumers from Chile, a new world wine producer. Results are analyzed with structural equation modeling (SEM). Our results indicate that wine brand satisfaction has the strongest relationship with wine brand loyalty. Additionally, wine experience is positively related to brand trust and brand satisfaction.     

Reassessing Moral Legitimacy in Times of Instability

The presence of conflicting cues about what is legitimate provided by various stakeholders, begs the question of how the legitimacy of contested institutionalized practices is justified. Recent critique of tax minimization strategies exemplifies this difficulty: on one hand, practitioners need to increase shareholders' profits; on the other, a growing number of stakeholders push for ‘fairer’ corporate tax payments. Conducted during a time of public criticism of Australian corporate tax strategies, our study draws on justifications of corporate tax minimization strategies by senior tax practitioners and corporate submissions to a Senate Inquiry on corporate tax avoidance. The study explores how legitimacy judgements come under pressure by conflicting cues. Through the application of Boltanski and Thévenot's (2006) Economies of Worth (EW) framework, we advance legitimacy scholarship by clarifying what constitutes situated judgements in times of instability. Our work puts forward the concept of perceived forecasted consensus as a guide for individuals in making situated legitimacy judgements in times of instability.     

Pitfalls in estimating β-convergence by means of panel data: an empirical test

This article aims to test the conjecture advanced in a recent work by Bianchi and Menegatti (Appl Econ Lett 14:963–967, 2007) that usual β-convergence panel regressions may produce biased evidence, due to their inability to distinguish between actual catching-up across countries and decreasing growth rates over time within countries. The test considers different sub-groups in a dataset of 72 countries for the period 1970–2000 and introduces both human capital and proxies for technological differences into the analysis. The results confirm the conjecture that traditional evidence about β-convergence may be misleading; they also show that catching-up across countries is weaker than usually claimed and that this process occurred only in some sub-groups of countries.     

Risk management within the cannabis industry: Building a framework for the cannabis industry

Thirty states and the District of Columbia have legalized the use of cannabis for medicinal and/or recreational use by either formally or informally de‐criminalizing its use. However, cannabis remains a Schedule 1 drug under the Federal Controlled Substances Act (21 U.S.C. Sections 801 through 812), leaving federal law in conflict with the laws of over half of the states. As a result, market participants in legal cannabis businesses face risks due to the industry's unique legal status within the United States. We examine the risks and challenges deemed by the cannabis industry as the top risks facing the industry's continued future growth and its sustainability. In addition to general risks inherent in a nascent industry, a legal cannabis business faces additional risks, such as risks in its banking and finance activity, placement of insurance, payment of taxes, and managing its supply chain. These legal businesses also face true legal risk from the possibility of being shut down by the federal government and seizure of assets and product under the CSA. This paper also examines whether the cannabis industry would benefit from a futures market to mitigate price risk.     

Financial market models with Lévy processes and time-varying volatility

Asset management and pricing models require the proper modeling of the return distribution of financial assets. While the return distribution used in the traditional theories of asset pricing and portfolio selection is the normal distribution, numerous studies that have investigated the empirical behavior of asset returns in financial markets throughout the world reject the hypothesis that asset return distributions are normally distribution. Alternative models for describing return distributions have been proposed since the 1960s, with the strongest empirical and theoretical support being provided for the family of stable distributions (with the normal distribution being a special case of this distribution). Since the turn of the century, specific forms of the stable distribution have been proposed and tested that better fit the observed behavior of historical return distributions. More specifically, subclasses of the tempered stable distribution have been proposed. In this paper, we propose one such subclass of the tempered stable distribution which we refer to as the “KR distribution”. We empirically test this distribution as well as two other recently proposed subclasses of the tempered stable distribution: the Carr–Geman–Madan–Yor (CGMY) distribution and the modified tempered stable (MTS) distribution. The advantage of the KR distribution over the other two distributions is that it has more flexible tail parameters. For these three subclasses of the tempered stable distribution, which are infinitely divisible and have exponential moments for some neighborhood of zero, we generate the exponential Lévy market models induced from them. We then construct a new GARCH model with the infinitely divisible distributed innovation and three subclasses of that GARCH model that incorporates three observed properties of asset returns: volatility clustering, fat tails, and skewness. We formulate the algorithm to find the risk-neutral return processes for those GARCH models using the “change of measure” for the tempered stable distributions. To compare the performance of those exponential Lévy models and the GARCH models, we report the results of the parameters estimated for the S&P 500 index and investigate the out-of-sample forecasting performance for those GARCH models for the S&P 500 option prices.