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Institution

University of Rijeka

EducationRijeka, Croatia
About: University of Rijeka is a education organization based out in Rijeka, Croatia. It is known for research contribution in the topics: Population & Tourism. The organization has 3471 authors who have published 7993 publications receiving 110386 citations. The organization is also known as: Rijeka University & Sveučilište u Rijeci.


Papers
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TL;DR: In this paper, the authors measured intellectual capital in four companies in Croatia using Calculated Intangible Value (CIV) as a method and compared the results with traditional financial ratios.
Abstract: Modern companies work in the conditions of so called New economy, where the knowledge becomes the basic economic resource. Traditional resources as land, capital and labour are determined by diminishing returns; knowledge instead is connected with increasing returns. Knowledge that can be used in the company for creating value represents the intellectual capital. By measuring intellectual capital, company can manage it. This paper shows concise overview of used methods for measuring intellectual capital. Authors measured intellectual capital in four companies in Croatia using Calculated Intangible Value (CIV) as a method. Results of measuring intellectual capital are complemented with traditional financial ratios. However, intellectual capital statement gives real outlook in competitive advantage of certain company. Every modern company should measure its intellectual capital value and report it as a supplement to traditional balance sheets.

90 citations

Journal ArticleDOI
TL;DR: This paper examined sources and motives for personal meaning in adulthood using a mixed methods approach and found that personal life, referring mainly to self-transcendent values, was the prominent motive underlying sources of meaning.
Abstract: This study examined sources and motives for personal meaning in adulthood using a mixed methods approach. Participants (N = 666) from seven Western countries reported sources of life meaning, and why they were meaningful. They rated their perceived meaningfulness of 10 life domains and completed the Satisfaction with Life Scale. Family and personal life – indicating personal growth, well-being, harmony and self-actualization – emerged as main sources of meaning. Personal life, referring mainly to self-transcendent values, was the prominent motive underlying sources of meaning. Participants grouped according to age and family role revealed life stage differences in meaningfulness across domains. Hierarchical regressions indicated meaningfulness was not a significant predictor of life satisfaction, confirming that hedonic and eudaimonic dimensions are distinct components of well-being. Findings elucidate the importance of self-generated accounts of meaning as these blend personal, self-transcendent and demo...

89 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the psychometric properties of five Reinforcement Sensitivity Theory (RST) personality questionnaires, with a total sample of 821 participants, taken from the factor structures for the Croatian translations of BIS/BAS scales, SPSRQ, Jackson-5, RSQ and RST-PQ.

89 citations

Journal ArticleDOI
TL;DR: The authors acknowledge support from the Spanish MICYNN projects AYA2010-22111-C03-02 and Consolider-Ingenio 2007-32022, and from the Generalitat Valenciana project Prometeo 2008/132.
Abstract: AFS acknowledges support from the Spanish MICYNN projects AYA2010-22111-C03-02 and Consolider-Ingenio 2007-32022, and from the Generalitat Valenciana project Prometeo 2008/132.

89 citations

Posted Content
TL;DR: In this paper, a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high quantiles of return distributions is introduced.
Abstract: We introduce a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high quantiles of return distributions. We investigate the relative performance of VaR and ES models using daily returns for sixteen stock market indices (eight from developed and eight from emerging markets) prior to and during the 2008 financial crisis. In addition to widely used VaR and ES models, we also study the behavior of conditional and unconditional extreme value (EV) models to generate 99 percent confidence level estimates as well as developing a new loss function that relates tail losses to ES forecasts. Backtesting results show that only our proposed new hybrid and Extreme Value (EV)-based VaR models provide adequate protection in both developed and emerging markets, but that the hybrid approach does this at a significantly lower cost in capital reserves. In ES estimation the hybrid model yields the smallest error statistics surpassing even the EV models, especially in the developed markets.

89 citations


Authors

Showing all 3537 results

NameH-indexPapersCitations
Igor Rudan142658103659
Nikola Godinovic1381469100018
Ivica Puljak134143697548
Damir Lelas133135493354
D. Mekterovic11044946779
Ulrich H. Koszinowski9628127709
Michele Doro7943720090
Robert Zivadinov7352218636
D. Dominis Prester7036316701
Daniel Ferenc7022516145
Vladimir Parpura6422618050
Stipan Jonjić6222719363
Dario Hrupec6028813345
Alessandro Laviano5929814609
Tomislav Terzić5827110699
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202329
202279
2021636
2020707
2019622
2018564