882 resultados para Upkeep of assets
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The current paper aims at analyzing customer retention in Internet provider services. For this study, we sought to understand what are the client's expectations regarding the services available and compare them with management perception in relation to the use of those services. Identifying the coherence level between the two points of view, management and client, it is possible to pinpoint how service is assessed in real conditions. Then, from this point on, a new vision can be implemented on available services, and new customer service strategies aiming at best serving to their expectation and need, can be rethought. The exploratory research was utilized. It was based on case study, and quantitative and qualitative methods were used. The quantitative method was done by applying the cluster technique with six variables of control derived from the six main services, whose definition was done through qualitative survey of the internal management team. Then, an structured interview with 443 clients, from a probabilistic sample of 800 costumers. The total number of active clients of the internet provider is of 10.677. Client perception in relation to services varied, if compared with the four services that were under the managerial metric method, this comparison showed a more positive evaluation than the real use of the service. Thus, it was observed that the value of each service available for the client depends on his/her perception of it, regardless of using or not the offered service. As a result, it is possible to understand which services offered by the company under study effectively contribute to a good client-company relationship, and the upkeep of those clients
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When a company desires to invest in a project, it must obtain resources needed to make the investment. The alternatives are using firm s internal resources or obtain external resources through contracts of debt and issuance of shares. Decisions involving the composition of internal resources, debt and shares in the total resources used to finance the activities of a company related to the choice of its capital structure. Although there are studies in the area of finance on the debt determinants of firms, the issue of capital structure is still controversial. This work sought to identify the predominant factors that determine the capital structure of Brazilian share capital, non-financial firms. This work was used a quantitative approach, with application of the statistical technique of multiple linear regression on data in panel. Estimates were made by the method of ordinary least squares with model of fixed effects. About 116 companies were selected to participate in this research. The period considered is from 2003 to 2007. The variables and hypotheses tested in this study were built based on theories of capital structure and in empirical researches. Results indicate that the variables, such as risk, size, and composition of assets and firms growth influence their indebtedness. The profitability variable was not relevant to the composition of indebtedness of the companies analyzed. However, analyzing only the long-term debt, comes to the conclusion that the relevant variables are the size of firms and, especially, the composition of its assets (tangibility).This sense, the smaller the size of the undertaking or the greater the representation of fixed assets in total assets, the greater its propensity to long-term debt. Furthermore, this research could not identify a predominant theory to explain the capital structure of Brazilian
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Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model
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The objective is to analyze the relationship between risk and number of stocks of a portfolio for an individual investor when stocks are chosen by "naive strategy". For this, we carried out an experiment in which individuals select actions to reproduce this relationship. 126 participants were informed that the risk of first choice would be an asset average of all standard deviations of the portfolios consist of a single asset, and the same procedure should be used for portfolios composed of two, three and so on, up to 30 actions . They selected the assets they want in their portfolios without the support of a financial analysis. For comparison we also tested a hypothetical simulation of 126 investors who selected shares the same universe, through a random number generator. Thus, each real participant is compensated for random hypothetical investor facing the same opportunity. Patterns were observed in the portfolios of individual participants, characterizing the curves for the components of the samples. Because these groupings are somewhat arbitrary, it was used a more objective measure of behavior: a simple linear regression for each participant, in order to predict the variance of the portfolio depending on the number of assets. In addition, we conducted a pooled regression on all observations by analyzing cross-section. The result of pattern occurs on average but not for most individuals, many of which effectively "de-diversify" when adding seemingly random bonds. Furthermore, the results are slightly worse using a random number generator. This finding challenges the belief that only a small number of titles is necessary for diversification and shows that there is only applicable to a large sample. The implications are important since many individual investors holding few stocks in their portfolios
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This study aims to investigate the influence of the asset class and the breakdown of tangibility as determinant factors of the capital structure of companies listed on the BM & FBOVESPA in the period of 2008-2012. Two current assets classes were composed and once they were grouped by liquidity, they were also analyzed by the financial institutions for credit granting: current resources (Cash, Bank and Financial Applications) and operations with duplicates (Stocks and Receivables). The breakdown of the tangible assets was made based on its main components provided as warrantees for loans like Machinery & Equipment and Land & Buildings. For an analysis extension, three metrics for leverage (accounting, financial and market) were applied and the sample was divided into economic sectors, adopted by BM&FBOVESPA. The data model in dynamic panel estimated by a systemic GMM of two levels was used in this study due its strength to problems of endogenous relationship as well as the omitted variables bias. The found results suggest that current resources are determinants of the capital structure possibly because they re characterized as proxies for financial solvency, being its relationship with debt positive. The sectorial analysis confirmed the results for current resources. The tangibility of assets has inverse proportional relationship with the leverage. As it is disintegrated in its main components, the significant and negative influence of machinery & equipment was more marked in the Industrial Goods sector. This result shows that, on average, the most specific assets from operating activities of a company compete for a less use of third party resources. As complementary results, it was observed that the leverage has persistence, which is linked with the static trade-off theory. Specifically for financial leverage, it was observed that the persistence is relevant when it is controlled for the lagged current assets classes variables. The proxy variable for growth opportunities, measured by the Market -to -Book, has the sign of its contradictory coefficient. The company size has a positive relationship with debt, in favor of static trade-off theory. Profitability is the most consistent variable in all the performed estimations, showing strong negative and significant relationship with leverage, as the pecking order theory predicts
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As Tecnologias de Informação são responsáveis pelas transformações que vivemos, pois permitiram a construção de um mundo global, quebraram fronteiras, gerando conhecimento de uma forma cada vez mais rápida o que levanta enormes desafios às organizações. Estas transformações originam a necessidade de as organizações procurarem soluções e inovarem o seu modelo de estratégia organizacional, para conseguirem sobreviver e agregarem valor ao negócio. As Tecnologias de Informação são parte integrante nos processos das empresas, levando à necessidade de estarem alinhados com a estratégia de Governance, procurando aumentar a confiabilidade das suas operações e o presente trabalho aborda a adoção das melhores práticas das frameworks orientadas para esta área nomeadamente o COBIT 5, a ITIL V3, introduzindo os conceitos de Governance de TI e Gestão de TI. A Design Science Research foi a metodologia de investigação adotada, pois permite a construção e operacionalização de artefactos para os SI e encontrar uma solução para a construção de um Catálogo de Serviços como fator diferenciador para o negócio. Para a construção de um Catálogo de Serviços, é proposto um método baseado nas melhores práticas para a área dos Sistemas de informação, em que este passa a ser o principal ponto de contacto, permitindo o registo dos pedidos, mas também a definição de tempos de resposta, custos, faturação de serviços e ainda a construção de um repositório de conhecimento. São definidos os processos que se consideram mais relevantes, são propostos artefactos para a construção do catálogo, é efetuada a modelação em BPMN dos processos inerentes ao registo de pedidos, pois desta forma facilita o entendimento, bem como a sua implementação.
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Part 2: Behaviour and Coordination
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A eficiência dos mercados tem sido uma questão que tem despertado muito interesse no campo dos investimentos e da investigação financeira durante as últimas décadas, mas nos últimos anos com a intensificação dos estudos e surgimento de evidências da existência de comportamentos anómalos nas rentabilidades dos ativos financeiro, esta teoria passou a ser questionada no meio académico. A discussão do tema é ainda muito polémico, pois existem de um lado os defensores da hipótese de eficiência que defendem que as anomalias identificadas não podem ser generalizadas e não são consistentes ao longo do tempo, e de outro lado os defensores da corrente das finanças comportamentais, segundo os quais as anomalias são provocadas por padrões documentados de comportamento irracional dos investidores, sendo que estes comportamentos são inconsistentes com a teoria de eficiência dos mercados. Entre as anomalias detetadas, destacam-se as anomalias de Calendário, tais como o efeito Janeiro, efeito dia da semana, efeito feriado, entre outros; anomalias na valorização de ativos, tais como o efeito tamanho e outras anomalias de sobre reação. O efeito dia da semana é dos mais persistentes detetados em vários mercados internacionais e tendo em conta este cenário, o objetivo desta dissertação é a verificação da existência das anomalias de calendário, mais precisamente o efeito dia da semana onde se irá analisar o efeito segunda-feira, efeito sexta-feira, o efeito fim-de semana. Para esta verificação foram utilizadas as cotações diárias médias do Índice da Bolsa de Valores de Cabo Verde, no período de finais de 2005 a finais de 2008. A análise estatística dos resultados diários indicou que não existem evidências da existência do efeito dia da semana. ABSTRACT: The markets efficiency has been an issue of particular interest in the field of financial investigation in recent decades. However, due to the intensification of the studies and the arise of evidences about the existence of abnormal behaviours on financial assets returns, over the last years, this theory begun to be discussed in academic circles. The debate of this theme is still very controversial, because on one hand there are the defenders of the efficiency hypothesis, who defend that identified anomalies cannot be generalized and are not consistent in the long-term; on the other hand, there are the defenders of behavioral finance tendency, to whom the anomalies are caused by documented patterns about the irrational behaviour of investors. These behaviours are inconsistent with the markets efficient theory. Among the detected anomalies, we highlight the calendar anomalies, such as: the January effect, the day of week effect and holiday effect among others; anomalies over the valuation of assets, such as: the size effect and other anomalies on the reaction. The day of week effect is one of the most persistent effect detected in several international markets, and due to this scenario, the objective of this essay is the finding of calendar abnormalities, namely the day of week effect, where the Monday, the Friday and the weekend effects will be analyzed. For this checking, we used the average daily exchange rates from the prices of the Cape Verde Stock Exchange, for the period from late 2005 to late 2008. The statistical analysis of daily results indicated that there is no evidence of the existence of the day of the week effect.
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A presente investigação centra-se na temática das Informações no conflito entre Portugal e os Movimentos Independentistas de Angola no período de 1961 a 1974. Existindo uma extensa bibliografia centrada na componente das Operações, este trabalho explora outra vertente desenvolvendo a organização e a atividade de todas as entidades ligadas às Informações, procurando sistematizar a solução portuguesa na área das Informações para a guerra subversiva que combatia. O Objetivo Geral do trabalho visa “Descrever o Modelo de Informações Português no Teatro de Operações de Angola entre 1961-1974”. Para possibilitar essa descrição abordou-se a temática segundo um Modelo de análise de Informações apresentado pelo General Lucena, em que enquadra as Informações segundo três aceções, o Conhecimento, a Atividade e a Organização, centrando-se o trabalho na análise da Atividade e Organização. Enquadrado pelo Modelo de análise já referido e pretendendo responder aos objetivos utilizou-se o método dedutivo e a nível de procedimentos, o método histórico. Conclui-se que o Modelo de Informações Português foi evoluindo ao longo do tempo e reflete a doutrina portuguesa desenvolvida no período do conflito. A existência de agentes de informações, entidades militares e civis, que se especializaram na dimensão de recolha e tratamento de Informações foi significativa. A especialização na pesquisa, na análise ou na fiscalização garantiu uma rentabilização de meios. A criação de uma estrutura civil-militar e a partilha de informações nessa estrutura, demonstra um comando centralizado para este período, garantindo uma abordagem holística e integrada na compreensão do problema da subversão.
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Tese (doutorado)—Universidade de Brasília, Centro de Desenvolvimento Sustentável, 2015.
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A plethora of recent literature on asset pricing provides plenty of empirical evidence on the importance of liquidity, governance and adverse selection of equity on pricing of assets together with more traditional factors such as market beta and the Fama-French factors. However, literature has usually stressed that these factors are priced individually. In this dissertation we argue that these factors may be related to each other, hence not only individual but also joint tests of their significance is called for. In the three related essays, we examine the liquidity premium in the context of the finer three-digit SIC industry classification, joint importance of liquidity and governance factors as well as governance and adverse selection. Recent studies by Core, Guay and Rusticus (2006) and Ben-Rephael, Kadan and Wohl (2010) find that governance and liquidity premiums are dwindling in the last few years. One reason could be that liquidity is very unevenly distributed across industries. This could affect the interpretation of prior liquidity studies. Thus, in the first chapter we analyze the relation of industry clustering and liquidity risk following a finer industry classification suggested by Johnson, Moorman and Sorescu (2009). In the second chapter, we examine the dwindling influence of the governance factor if taken simultaneously with liquidity. We argue that this happens since governance characteristics are potentially a proxy for information asymmetry that may be better captured by market liquidity of a company’s shares. Hence, we jointly examine both the factors, namely, governance and liquidity – in a series of standard asset pricing tests. Our results reconfirm the importance of governance and liquidity in explaining stock returns thus independently corroborating the findings of Amihud (2002) and Gompers, Ishii and Metrick (2003). Moreover, governance is not subsumed by liquidity. Lastly, we analyze the relation of governance and adverse selection, and again corroborate previous findings of a priced governance factor. Furthermore, we ascertain the importance of microstructure measures in asset pricing by employing Huang and Stoll’s (1997) method to extract an adverse selection variable and finding evidence for its explanatory power in four-factor regressions.
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Nigeria is richly endowed with oil and gas resources, but the country’s continued reliance on loans from international financial institutions raises questions about the transparency and accountability of its utilisation of the huge revenues resulting from these two resources. In order to attract international capital to bolster its revenues from sales of oil and gas, a huge proportion of which continues to be used corruptly, the World Bank has encouraged the Nigerian government to subscribe to neoliberal economic policies by enlisting accounting firms and privatising state-owned enterprises. Key justifications for this have included enhancing accountability, reducing public-sector corruption, promoting market efficiency and attracting international capital. However, this paper presents evidence of the role of accounting in the undervaluation of assets, concealment of possible malpractice, and subversion of the accountability that it should have delivered in the privatisation process. The assumption that accounting will enhance accountability, reduce public-sector corruption and promote market efficiency in privatisation, and ultimately attract investment into a crony capitalist Nigerian state, appears to be an illusion created partly through the apparent legitimacy of accounting.
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The South Carolina Department of Education (SCDE) is required by the State of South Carolina to provide an accurate physical count of all Capitalized assets listed on their inventory by the end of the fiscal year. There were no published procedures for employees to follow as guidelines for identifying, tracking, reporting and disposing of assets. This has led to errors in identifying items that require asset numbers, completing the shopping carts and transfer/disposal of assets. These errors cause additional work for the Asset Accountant, Procurement Analyst and Accounts Payable Supervisor. The scope of this project is to improve the fixed asset process by developing and publishing asset inventory procedures to ensure accountability and accuracy of all item listed on SCDE inventory.
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Queste ricerche si propongono di indagare gli apporti patrimoniali alla morte del marito in favore della moglie superstite, concentrandosi sulla normazione di età tardoantica e giustinianea. Vengono presi in considerazione i principali istituti giuridici che realizzavano, al momento della scomparsa dell’uomo, una cessione patrimoniale a favore della sua vedova: la successione intestata e testata della moglie superstite, la restituzione della dote e il suo lucro sulla donazione nuziale, nonché la c.d. quarta della vedova povera. Di essi si indagano i profili dei relativi regimi giuridici interessanti per il tema di indagine, soffermandosi sulla portata e le ragioni delle riforme che li hanno riguardati, le loro specifiche funzioni nel sistema di sostentamento patrimoniale della coniuge superstite, la loro interazione e integrazione reciproca, il loro ricorso nella prassi. Si giunge alla conclusione che il sistema di tutela della coniuge superstite ebbe poco a che vedere con la successione intestata. Profondamente differente il discorso per quanto attiene alla successione testata e la dote. Più circoscritti di quanto comunemente si pensi, invece, sono i termini in cui è possibile parlare di una funzione di appannaggio vedovile della donazione nuziale. Ecco dunque che, se le garanzie patrimoniali della moglie superstite si sostanziano nel testamento del marito, nella dote, nella donazione nuziale e – nel diritto ultimo e nei soli casi di estremo bisogno – nella quarta uxoria, è chiaro come la questione sia stata demandata, in gran parte, all’autoregolamentazione dei privati. Il legislatore ha saputo predisporre gli strumenti giuridici necessari, assestare gli squilibri dovuti a mutamenti economici e sociali, intervenire laddove ce ne fosse stato bisogno, ma senza invadere un campo così privato e intimo come quello delle relazioni patrimoniali tra coniugi. D’altro canto, il suo intervento non è richiesto «si sanctitas inter eos sit digna foedere coniugali».
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The first chapter provides evidence that aggregate Research and Development (R&D) investment drives a persistent component in productivity growth and that this embodies a risk priced in financial markets. In a semi-endogenous growth model, this component is identified by the R&D in excess of equilibrium levels and can be approximated by the Error Correction Term in the cointegration between R&D and Total Factor Productivity. Empirically, the component results being well defined and it satisfies all key theoretical predictions: it exhibits appropriate persistency, it forecasts productivity growth, and it is associated with a cross-sectional risk premium. CAPM is the most foundational model in financial economics, but is known to empirically underestimate expected returns of low-risk assets and overestimate those with high risk. The second chapter studies how risks omission and funding tightness jointly contribute to explaining this anomaly, with the former affecting the definition of assets’ riskiness and the latter affecting how risk is remunerated. Theoretically, the two effects are shown to counteract each other. Empirically, the spread related to binding leverage constraints is found to be significant at 2% yearly. Nonetheless, average returns of portfolios that exploit this anomaly are found to mostly reflect omitted risks, in contrast to their employment in previous literature. The third chapter studies how ‘sustainability’ of assets affect discount rates, which is intrinsically mediated by the risk profile of the assets themselves. This has implications for the assessment of the sustainability-related spread and for hedging changes in the sustainability concern. This mechanism is tested on the ESG-score dimension for US data, with inconclusive evidence regarding the existence of an ESG-related premium in the first place. Also, the risk profile of the long-short ESG portfolio is not likely to impact the sign of its average returns with respect to the sustainability-spread, for the time being.