49,932 research outputs found

    A conceptual framework for changes in Fund Management and Accountability relative to ESG issues

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    Major developments in socially responsible investment (SRI) and in environmental, social and governance (ESG) issues for fund managers (FMs) have occurred in the past decade. Much positive change has occurred but problems of disclosure, transparency and accountability remain. This article argues that trustees, FM investors and investee companies all require shared knowledge to overcome, in part, these problems. This involves clear concepts of accountability, and knowledge of fund management and of the associated ‘chain of accountability’ to enhance visibility and transparency. Dealing with the problems also requires development of an analytic framework based on relevant literature and theory. These empirical and analytic constructs combine to form a novel conceptual framework that is used to identify a clear set of areas to change FM investment decision making in a coherent way relative to ESG issues. The constructs and the change strategy are also used together to analyse how one can create favourable conditions for enhanced accountability. Ethical problems and climate change issues will be used as the main examples of ESG issues. The article has policy implications for the UK ‘Stewardship Code’ (2010), the legal responsibilities of key players and for the ‘Carbon Disclosure Project’

    The Reality of the Employees Performance in the Palestinian Cellular Telecommunications Company (Jawwal)

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    The aim of this study was to identify the reality of the performance of the employees in The Palestinian Cellular Telecommunications Company (Jawwal), and to find the differences between the views of the study sample on the variables of the study according to the variables (age, scientific qualification, field of work and years of service). To achieve the objectives of the study, a questionnaire was designed and developed to measure the variables of the study applied to the company's 70 employees. The Complete Census method was used and 60 samples were recovered for analysis with a recovery rate (85.7%). The SPSS statistical package was adopted. The study reached several results, the most important of which is that the degree of approval for the job performance of the employees working in The Palestinian Cellular Telecommunications Company (Jawwal) is 81.56%. The results showed that there were no statistically significant differences at the level of α≀ 0.05 between the average of the respondents' opinions on the performance of the workers in the Palestinian Cellular Telecommunications Company (Jawwal) due to the following variables (age, scientific qualification, field of work, number of years of service). The most important recommendations were to increase the efficiency of the employees of the company using the equipment of their work, and the need to pay attention to the development of the skills of employees through specialized training programs to improve their performance. And focus on moral incentives because of their role in improving the performance of employees by spreading the spirit of cooperation between

    Too far ahead of its time: Barclays, Burroughs and real-time banking

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    The historiography of computing has until now considered real-time computing in banking as predicated on the possibilities of networked ATMs in the 1970s. This article reveals a different story. It exposes the failed bid by Barclays and Burroughs to make real time a reality for British banking in the 1960s

    Profitability Of Dividend Payers

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    Most of the firms are looking for profits as their main objective which make them develops strategies to get the target profit. In circumstances that firms get the target profit, then normally they shall distribute the earnings as dividends to shareholders. The objective of this study is to provide an empirical finding about profitability between firms namely higher dividend payers and lower dividend payers. This study uses data of listed firms in period of 2010 to 2016 which drawn from Indonesia Stock Exchange. This study uses 146 listed firms in period of 2010 to 2016 which gives 1022 as total observe data. In term of hypothesis testing, this study uses mean difference test. This study finds that firms with higher dividends have better profitability rather than the lower which means this study accepts the hypothesis that higher dividend payers have better profitability

    Trust Value of a Dividend : an Evidence From Indonesia

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    Even though there are many issues surrounding dividend policy, dividend remains one of the main goals for investors to achieve. The aim of this study is to find out determinants of dividend policy in Indonesia. Most of the samples in observed period have varieties of dividend policies. Data for this study was collected from 258 business entities in the period between 2009 and 2012. For hypotheses testing, a binary logistic regression and factor analysis were used. The result from binary logistic regression showed that share price, earnings per share and current ratio are significant factors for dividend policy, while debt to equity ratio and corporate tax are insignificant. The insignificance of debt and tax was probably due to current ratio affected by accounting adjustments. Even though debt and tax are insignificant, they could not be ignored. Using factor analysis, it is confirmed that, most companies in this study have a similar objective through dividend policy, which is to maximize their share value in the stock market by considering profitability and liquidity on cash availability and also debt and tax. Dividends as a form of “trust value” offered by companies to their shareholders stimulate the trust of investors or shareholders and resulting the increase of share price

    Use of IC information in Japanese financial firms

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    Purpose – The purpose of this paper is to explore the perceptions of: how Japanese financial firms (JFF) acquire and use company intellectual capital (IC) information in their common routine equity investment decisions, how this activity contributes to knowledge creation in the JFFs, and how investee company knowledge creation is affected by the JFFs.<p></p> Design/methodology/approach – The research employed a multi-case design, using four JFF cases. The investigation was performed in terms of Nonaka and Toyama's “theory of the knowledge creating firm”.<p></p> Findings – IC information contributed to earnings estimates and company valuation. Emotional information contributed to JFF feelings and confidence in their information use and valuation. JFF knowledge was an important component of the key interacting and informed contexts used by JFFs. This generated opportunities to improve disclosure and accountability between JFFs and their investee companies. Common patterns of behaviour across the JFFs were counterbalanced by variety and differences noted in JFF behaviour.<p></p> Practical implications – The findings provide important insights into how JFF knowledge creating patterns could limit or progress a common language of communication between companies and markets on the subject of IC. This could impact on the quality of corporate disclosure and accountability processes.<p></p> Originality/value – The paper demonstrates that there is a need for further use of qualitative studies of financial market behavior. Especially in the area of understanding the communication of IC between firms and financial markets, the potential of using sociology of finance approaches appears to be considerable

    Hybrid model using logit and nonparametric methods for predicting micro-entity failure

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    Following the calls from literature on bankruptcy, a parsimonious hybrid bankruptcy model is developed in this paper by combining parametric and non-parametric approaches.To this end, the variables with the highest predictive power to detect bankruptcy are selected using logistic regression (LR). Subsequently, alternative non-parametric methods (Multilayer Perceptron, Rough Set, and Classification-Regression Trees) are applied, in turn, to firms classified as either “bankrupt” or “not bankrupt”. Our findings show that hybrid models, particularly those combining LR and Multilayer Perceptron, offer better accuracy performance and interpretability and converge faster than each method implemented in isolation. Moreover, the authors demonstrate that the introduction of non-financial and macroeconomic variables complement financial ratios for bankruptcy prediction
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