505 resultados para asset liquidity


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We investigate the association between asset revaluations of non-current assets and audit fees, using a sample of ASX 300 companies from the years 2003–2007.We report that there is a significant increase in the audit fees paid when non-financial assets (PPEs, investment properties and intangible assets) are measured at fair values. Moreover, we provide evidence that an independent valuer or appraiser significantly weakens the positive association between asset revaluations and audit fees. Furthermore, companies whose noncurrent assets are revalued upwards and those that revalue their non-current assets upwards every year have significantly higher audit fees. Additional tests provide empirical evidence that the strength of corporate governance has a moderating effect on the level of audit fees. This study contributes to the ongoing debate on the role of fair value accounting. The findings suggest agency costs associated with fair value estimates may offset the benefits from the use of fair value accounting.

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The partnership form of privatisation is increasingly being used, in particular to carry out complex and evolving bundles of services. These have not previously been privatised because of incomplete contracts and contract management difficulties. Improved performance of the government entity as contract administrator and member of the partnership is crucial to modern service delivery expectations yet the privatisation literature has focused on other aspects of partnerships leaving the understanding of factors impacting the effectiveness of the government entity underdeveloped. This paper proposes the development of knowledge as to the range of factors which impact the effectiveness of the government entity. There is limited data available as to the operation of trust in the partnership relationship, and as to the capability of a range of privatisation forms to achieve stewardship of infrastructure. This research will utilise the findings from that research to build a tentative framework which will be utilised in staged research interrogating first the privatization literature and then the literature of other disciplines and sectors. The combined data will be analysed to provide government and practitioners such as government entity CEO’s with a complete listing of the operation of the factors which impact the effectiveness of the government entity in contributing to improved service delivery.

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A central tenet in the theory of reliability modelling is the quantification of the probability of asset failure. In general, reliability depends on asset age and the maintenance policy applied. Usually, failure and maintenance times are the primary inputs to reliability models. However, for many organisations, different aspects of these data are often recorded in different databases (e.g. work order notifications, event logs, condition monitoring data, and process control data). These recorded data cannot be interpreted individually, since they typically do not have all the information necessary to ascertain failure and preventive maintenance times. This paper presents a methodology for the extraction of failure and preventive maintenance times using commonly-available, real-world data sources. A text-mining approach is employed to extract keywords indicative of the source of the maintenance event. Using these keywords, a Naïve Bayes classifier is then applied to attribute each machine stoppage to one of two classes: failure or preventive. The accuracy of the algorithm is assessed and the classified failure time data are then presented. The applicability of the methodology is demonstrated on a maintenance data set from an Australian electricity company.

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Wills are important social, economic, and legal documents. Yet little is known about current will making practices and intentions. A comprehensive national database on the prevalence of will making in Australia was developed to identify who is or is not most likely to draw up a will and triggers for making and changing wills. A national survey of 2,405 adults aged above 18 years was administered by telephone in August and September 2012. Fifty-nine percent of the Australian adult population has a valid will, and the likelihood of will making increases with age and estate value. Efforts to get organized, especially in combination with life stage and asset changes trigger will making; procrastination, rather than a strong resistance, appears to explain not making a will. Understanding will making is timely in the context of predicted significant intergenerational transfers of wealth, changing demographics, and a renewed emphasis on retirement planning.

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Stochastic volatility models are of fundamental importance to the pricing of derivatives. One of the most commonly used models of stochastic volatility is the Heston Model in which the price and volatility of an asset evolve as a pair of coupled stochastic differential equations. The computation of asset prices and volatilities involves the simulation of many sample trajectories with conditioning. The problem is treated using the method of particle filtering. While the simulation of a shower of particles is computationally expensive, each particle behaves independently making such simulations ideal for massively parallel heterogeneous computing platforms. In this paper, we present our portable Opencl implementation of the Heston model and discuss its performance and efficiency characteristics on a range of architectures including Intel cpus, Nvidia gpus, and Intel Many-Integrated-Core (mic) accelerators.

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Building Information Modelling (BIM) is a digital process that encompasses all aspects, disciplines and systems of built assets within a single virtual model. This allows stakeholders to collaborate more accurately and efficiently than with traditional processes. Case study 1 Design: New Generation Rollingstock Maintenance Centre, Queensland. Case Study 2 Construction: Perth Children's Hospital, Western Australia. Case Study 3 Asset Management: Sydney Opera House, New South Wales. This project sought to provide the built environment industry with a framework to measure and maximize benefits from implementing BIM across the life-cycle phases of a built asset.

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The interdependence of Greece and other European stock markets and the subsequent portfolio implications are examined in wavelet and variational mode decomposition domain. In applying the decomposition techniques, we analyze the structural properties of data and distinguish between short and long term dynamics of stock market returns. First, the GARCH-type models are fitted to obtain the standardized residuals. Next, different copula functions are evaluated, and based on the conventional information criteria and time varying parameter, Joe-Clayton copula is chosen to model the tail dependence between the stock markets. The short-run lower tail dependence time paths show a sudden increase in comovement during the global financial crises. The results of the long-run dependence suggest that European stock markets have higher interdependence with Greece stock market. Individual country’s Value at Risk (VaR) separates the countries into two distinct groups. Finally, the two-asset portfolio VaR measures provide potential markets for Greece stock market investment diversification.

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Imbalance is not only a direct major cause of downtime in wind turbines, but also accelerates the degradation of neighbouring and downstream components (e.g. main bearing, generator). Along with detection, the imbalance quantification is also essential as some residual imbalance always exist even in a healthy turbine. Three different commonly used sensor technologies (vibration, acoustic emission and electrical measurements) are investigated in this work to verify their sensitivity to different imbalance grades. This study is based on data obtained by experimental tests performed on a small scale wind turbine drive train test-rig for different shaft speeds and imbalance levels. According to the analysis results, electrical measurements seem to be the most suitable for tracking the development of imbalance.

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Dance is a potential asset for peacebuilding, creating opportunities for nonverbal, embodied learning, exploring identity, and relationships. Peace scholars consider identity and relationships to the ‘other’ as key components in transforming conflict. Focusing on a case study in Mindanao, the Philippines, this paper explores the potential of dance in a peacebuilding context through embodied identity and relationships. In Mindanao, deep-seated cultural prejudices contribute to ongoing conflict entwined with identity. The permeable membrane (Cohen, Gutiérrez & Walker, 2011) is the organising framework describing the constant interaction between artists, facilitators, participants, and communities. It expands peace scholar John Paul Lederach’s concept of the moral imagination, requiring the capacity to envisage one’s self within a web of relationships. In this paper multiple methods of qualitative research including personal interviews are used to further the discussion regarding dance’s potential to diversify the nonverbal tools available for peacebuilding.

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This article explores the influence of cultural and religious beliefs and laws on how individuals make decisions about asset distribution through wills, drawing on a case study of Islamic will makers. Findings highlight diversity in beliefs and practices within Australian Islamic communities. When drafting a will people from culturally diverse backgrounds need to accommodate their religious and cultural values and local law. Implications of research findings for legal policy and practice in Australia are discussed.