Methods of Partial Hedging

In this article we survey methods of dealing with the following problem: A financial agent is trying to hedge a claim C, without having enough initial capital to perform a perfect (super) replication. In particular, we describe results for minimizing the expected loss of hedging the claim C both in complete and incomplete continuous-time financial market models, and for maximizing the probability of perfect hedge in complete markets and markets with partial information. In these cases, the optimal strategy is in the form of a binary option on C, depending on the Radon-Nikodym derivative of the equivalent martingale measure which is optimal for a corresponding dual problem. We also present results on dynamic measures for the risk associated with the liability C, defined as the supremum over different scenarios of the minimal expected loss of hedging C. This revised version was published online in August 2006 with corrections to the Cover Date.     

Cagan’s paradox and money demand in hyperinflation: Revisited at daily frequency

Using daily data the Cagan money demand is estimated and accepted for the most severe portion of Serbia’s 1992–1993 hyperinflation, i.e. its last 6 months. An implication is that the public adjusted daily throughout this extreme period. Moreover, the obtained semi-elasticity estimates are by far lower than those previously found using monthly data sets. Consequently, the daily estimates reject the longstanding Cagan’s paradox, based on monthly studies, by showing that the economy has been on the correct, increasing side of the Laffer curve almost through the end of hyperinflation. This strongly supports the view that hyperinflation is triggered and driven all way through its end by the government’s hunt for non-decreasing seigniorage. Daily adjustments of public in hyperinflation can account for the difference between the results obtained at daily and monthly frequencies, calling into question the latter. Some evidence is offered that the findings of this paper may hold for other hyperinflations.     

Introducing experiment in pedestrian behaviour and risk perception study at urban level crossing

Given the high risk of severe accidents at level crossings (LCs), this study examined legal and illegal crossings by pedestrians and cyclists at a high-traffic LC in Zagreb, Croatia. Survey data and field observations were collected to identify reasons for risky behaviour. Behaviour was observed under normal conditions and in the presence of various safety measures in order to identify measures that can reduce risky behaviour. Results show that the presence of police officer at the LC was most effective at reducing illegal crossings, while the presence of cameras contributes significantly as well, especially after safety educational campaign when illegal crossing decreases for 59.23%. We can assume that in future the improvement regarding human behaviour on LC could be made with cameras on LC and more frequent educational campaigns. This is the first reported use of field survey and video surveillance methods to analyse user behaviour at LCs in Croatia.     

Developing a financial conditions index for a post-transition country: the case of Croatia

The interconnection between financial and business cycles and the importance of surveillance over financial markets emphasise the need for the development of indicators that could trace financial conditions in a country. In this paper, we focus on developing a financial conditions index for a post-transition country – Croatia. Since financial conditions indices for post-transition markets differ from those for developed markets due to differences in the development of their financial systems and the availability of data, we show that financial conditions indices constructed for post-transition markets need to be tailored to the specifics of such markets.     

The effectiveness of fiscal spending in Croatia,Slovenia and Serbia: the role of trade openness and public debt level

Various structural characteristics of economies, directly or indirectly, affect the transmission from government stimuli to economic activity and determine the size of fiscal multipliers. In this article, we expand the standard Blanchard–Perotti fiscal SVAR model by incorporating the public debt and trade openness variables to assess the influence of these structural determinants on the effectiveness of fiscal spending in three selected former Yugoslav countries – Slovenia, Croatia and Serbia. The results confirmed the main hypotheses, which state that public debt level and trade openness significantly affect the effectiveness of fiscal spending through the means of reduction in size of fiscal effects in all countries analysed. When comparing internationally, this reduction tends to be more evident in countries with a higher degree of average public debt level and trade openness.     

Managing safety risks in helicopter maritime operations

Nowadays, helicopters have been used in maritime transportation to serve offshore platforms. This paper outlines methodology for assessing safety risks by operating in the vicinity of helidecks. During each flight, decisions must be made regarding the events that involve interactions between the four safety risk elements – the pilot in command, the aircraft, the environment and the operation. This paper evaluates helicopter crash statistics based on region and flight phase. Data collected were used for developing methodology for computing the helicopter impact frequency into facility of interest. The analysis for helicopter impact frequency calculations is based on number of operations, crash rate, frequency, average length of flight and crash area. Furthermore, the conclusion was defined based on future measurements for helicopter accidents mitigation or reduction. The presented paper contributes to safety risk assessment in helicopter maritime operations.     

An Empirical Investigation of Brand Equity: A Cross-Country Validation Analysis

ABSTRACT

The purpose of this article is to propose and test a model in order to better understand brand equity. The goal of this research is to identify the drivers and determine how they influence brand equity performance in the researched industry in order to develop a more effective brand strategy. Quantitative data collected are used to test a model of brand value in the context of the food industry. The findings of this research provided evidence that the customer-based brand equity model can be applied to the food industry context and be used to guide marketing activities internationally. Brand awareness has a positive influence on brand associations and perceived quality. Brand associations have a positive influence on brand loyalty. Finally, brand loyalty, perceived quality, and brand associations all have a positive effect on brand equity. This study contributes to the scarce international brand equity literature by testing the proposed model using data from a sample of consumers in two European countries.     

Conceptual and mathematical model for quality improvement in health care

Numerous studies have shown that implemented models for quality assurance or improvement in healthcare facilities differ, even those models that are based on the same guidelines, i.e. standards, regulations or concepts. The cause of diversity in implemented quality models could be found in the process of translating guidelines into the implemented model for quality assurance or improvements in healthcare facilities, while neglecting processes of healthcare facilities that are not clinical processes, but still responsible for the quality of healthcare services. Therefore, this research recommends a conceptual model that should be a link between guidelines, implemented models and mathematical models derived from the conceptual model, which could provide a means of evaluating quality values of any part of the healthcare organization.     

A new non-linear AR(1) time series model having approximate beta marginals

We consider the mixed AR(1) time series model $$X_t=\left\{\begin{array}{ll}\alpha X_{t-1}+ \xi_t \quad {\rm w.p.} \qquad \frac{\alpha^p}{\alpha^p-\beta ^p},\\ \beta X_{t-1} + \xi_{t} \quad {\rm w.p.} \quad -\frac{\beta^p}{\alpha^p-\beta ^p} \end{array}\right.$$ for ?1 < β ^p ≤ 0 ≤ α ^p  < 1 and α ^p ? β ^p  > 0 when X _t has the two-parameter beta distribution B₂(p, q) with parameters q > 1 and ${p \in \mathcal P(u,v)}$ , where $$\mathcal P(u,v) = \left\{u/v : u < v,\,u,v\,{\rm odd\,positive\,integers} \right\}.$$ Special attention is given to the case p = 1. Using Laplace transform and suitable approximation procedures, we prove that the distribution of innovation sequence for p = 1 can be approximated by the uniform discrete distribution and that for ${p \in \mathcal P(u,v)}$ can be approximated by a continuous distribution. We also consider estimation issues of the model.     

Going beyond the traditional destination competitiveness – reflections on a smart destination in the current research

ABSTRACT

This paper reviews the literature on tourism destination competitiveness from different aspects, focusing on comparative and competitive advantages. Also, the paper highlights the importance of information and communication technologies (ICTs) in tourism destinations and their increasing impact on the achievement of destination competitiveness. Thanks to the wider application of ICTs in tourism, tourists nowadays are well informed and have access to global market which creates a new dynamic environment by creating a smart demand. Since smartness emphasizes on ICT-based tools, including smartness integration for value co-creation, it can increase and enhance destination competitiveness. In this regard, special emphasis is placed on exploring the core components of smartness and smart tourism destination.