27 research outputs found

    Assessment for Learning: How Plagiarism could be used as an Efficient Learning Tool

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    Instructors should consider the role of responsible feedback as one of the main priorities of their teaching and learning strategies. It is well known that feedback is the bridge between students and instructors, as students’ work is reviewed and put into an appropriate learning context. In this context, we argue that detecting plagiarism should be an additional vehicle to allow students achieve settled academic standards. Plagiarism detection tools should be used to encourage students to follow best practices, and at the same time inspire and guide students to work harder. In this regard, quality feedback plays a crucial role in identifying areas of weaknesses in standards of writing, which should be considered carefully by instructors when guiding their students to comply with academic rules and standards. We must not forget that students are learners that need tutoring, mentoring, objective and clear guidelines that keep them focused and motivated, and this also applies to adhering to academic integrity. Accordingly, we argue that instructors’ feedback should also address academic integrity in an efficient and constructive manner. Plagiarism has very negative connotations in academia, and must be monitored. However, in this context, the following questions remain pertinent: What kind of action is required to prevent plagiarism? How can instructors use plagiarism as another tool to motivate and guide their students? What way can plagiarism be used for constructive learning and not as a way to punish students? We believe that the answers lie in responsible feedback. We explore the use of plagiarism as a constructive tool that can make a difference in the learning experience. We aim to offer an initial view of how instructors could shift from using plagiarism as a source of punishing students to a more constructive and positive end

    Using eportfolios to encourage responsible feedback

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    This article aims to look at the value that ePortfolios can add to business studies, specifically in the financial field. In order to answer the question, Do ePortfolios contribute to the development and enhancement of responsible feedback in the classroom?, the study analyzed the work done by postgraduate students pursuing a Master’s degree in finance. A total of 151 ePortfolios were reviewed and analyzed, and a selection of comments from students is presented in order to support the main findings of the literature review. The authors considered this approach to be appropriate in order to offer an objective analysis on existing research and how their own students’ views blend with developed literature in the area. The authors also offer their own know-how on how ePortfolios can be integrated as part of the postgraduate learning experience. The researchers identified ePortfolios as being a complementary tool that help educators and students to get a better understanding of the course material and offer students an opportunity to reflect on their own learning and course performance. They also identified a lack of research on how ePortfolios can be used as part of the students learning experience in postgraduate education specialised in finance.DOI: 10.18870/hlrc.v5i3.24

    A Reflection on the Use of ePortfolios in Business Studies Programmes

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    Work placement aims to enhance a professional development and allow students to apply knowledge and skills from their programme of study. Students can struggle with both conceptualising work in terms of academic knowledge and the reverse process of transforming tacit knowledge from the workplace into a form they can verbalise. Additionally, they are isolated from their peer support group. To address these issues, we have implemented a blog assessment in Dublin Institute of Technology to actively encourage reflection and also foster peer-to-peer learning through providing an opportunity to share experiences of the diverse range of activities during work placement. A pilot was implemented for Pharmacy Technician students using the Institute’s virtual learning environment. As a result of this pilot and subsequent modifications made in the following years, we identified key requirements and resources to prepare, support and engage students in all aspects of the work placement assessment. Examples that we discuss include an assessment rubric, instructional videos and reflective writing resources, a pre-placement reflective writing workshop, feedback mechanisms, and assessment strategies that activity promoted student interaction with their peers. Evaluation results including the main benefits, recommendations, limitations and suggested improvements are also included. It has also been demonstrated that this assessment is transferable to a different programme of study as it was extended to the placement module for BSc (Nutraceuticals). Further work will include additional measures to guide students to focus on critical points during reflection, and will include increased emphasis on graduate attributes

    Self-Regulated Learning and the Role of ePortfolios in Business Studies

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    Through a case study supported by observation techniques, and questionnaires to gather data, we explored the use of ePortfolios as an efficient assessment tool to assist business degree students. Our main focus was a postgraduate course in which finance modules were a major component. We analysed the role of ePortfolios in Higher Education Institutions over a period of four academic years. Our findings suggest that ePortfolios could be used to facilitate and enhance students’ selfregulated learning. The role of the instructor was found to be fundamental in the early stages of the learning process. This role diminished as students became familiar with the course requirements. Overall, students judged the ePortfolio as a tool to complement their education positively, as they noted a significant improvement in their learning experience and they benefitted from the breaks it offered from their traditional learning approach. The evidence suggests that ePortfolios could be used to support technical and complex modules in a controlled environment where support is available for students to prevent them losing focus on their core studies; at the same time ePortfolios are flexible enough to allow students to be creative and integrate their own ideas and views while they learn

    The power of ethical investment in the context of political uncertainty

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    In this paper we analyse a set of socially responsible investment (SRI) indices against their conventional counterparts in the US context. Using a data set that spans the Obama and Trump administrations, we aim to identify whether performance and volatility patterns differ when markets are exposed to political uncertainty and the Global Financial Crisis (GFC). The findings suggest that SRI indices underperform conventional indices, and that the S&P 500 has a significant impact on their behaviour. The CBOE’s Volatility Index (VIX), the US Equity Related Economic Uncertainty Index (EEUi) and the impact of the economic policy uncertainty index (EPUi) are used to consider market volatility and political uncertainty, with VIX emerging as the best indicator to capture market uncertainty. The study signals a positive and significant impact on SRI indices during the first hundred days of the Obama administration with a lack of significant findings for the Trump administration for the period of study. The results for implied volatility reveal similar patterns across all indices

    Cost and performance of carbon risk in socially responsible mutual funds

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    Investors and other financial actors are attracted by the role of socially responsible (SR) mutual funds in the transition to a low-carbon economy. In response to the demand for more information, Morningstar reported the level of carbon risk of funds by using the following indicators: Carbon Risk, Carbon Management, Carbon Operations risk and Carbon Exposure. Dealing with a sample of 3370 equity SR mutual funds worldwide from 2017 to 2021, this study analyzes the relationships between these indicators and the expense ratio and performance of the funds. In general, the results point to funds with lower carbon scores that have lower fees and perform better than those with higher scores. Considering the effects of the COVID-19 crisis, this evidence holds true for most of the sample period analyzed. With a spatial analysis, although the evidence generally holds, regional differences are found. Thus, funds that invest in the USA and Canada are on average cheaper and show lower carbon scores, while funds that are oriented to other areas, such as emerging markets, are more expensive and show higher scores. In summary, there is good news for the utility function of the investor and the planet: Green investing is cheaper and better

    A survey on financial applications of metaheuristics

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    Modern heuristics or metaheuristics are optimization algorithms that have been increasingly used during the last decades to support complex decision-making in a number of fields, such as logistics and transportation, telecommunication networks, bioinformatics, finance, and the like. The continuous increase in computing power, together with advancements in metaheuristics frameworks and parallelization strategies, are empowering these types of algorithms as one of the best alternatives to solve rich and real-life combinatorial optimization problems that arise in a number of financial and banking activities. This article reviews some of the works related to the use of metaheuristics in solving both classical and emergent problems in the finance arena. A non-exhaustive list of examples includes rich portfolio optimization, index tracking, enhanced indexation, credit risk, stock investments, financial project scheduling, option pricing, feature selection, bankruptcy and financial distress prediction, and credit risk assessment. This article also discusses some open opportunities for researchers in the field, and forecast the evolution of metaheuristics to include real-life uncertainty conditions into the optimization problems being considered.This work has been partially supported by the Spanish Ministry of Economy and Competitiveness (TRA2013-48180-C3-P, TRA2015-71883-REDT), FEDER, and the Universitat Jaume I mobility program (E-2015-36)

    Mutual fund performance: banking versus independent managers

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    We examine the performance of mutual fund managers for a sample of Spanish mutual funds considering data on active management, loads, size and the number of funds managed per manager. We find evidence of differences in fund performance according to management: independent managers outperform their banking counterparts even when the lower associated fees are considered. Overall, our results suggest that superior active managers do exist and the slight discrepancies which arise between managers can be interpreted as agency problems

    Active Management and Mutual Fund Performance

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    This paper analyses the relationship between active management and performance in US equity mutual funds over the period 2001-2011 for both gross and net returns. Active management is measured by time-varying parameters, idiosyncratic risk and turnover. A U-shaped relation is found, thus both the best and the worst mutual funds show a higher level of active management. This behavior is also found in the relationship between expenses and performance. Active management therefore implies selecting different strategies or investment bets with higher expenses and an unequal performance is achieved. However some level of persistence in the success of these bets is only found for the best mutual funds

    On the informativeness of persistence for evaluating mutual fund performance using partial frontiers

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    The last few years have witnessed a rapid evolution in the literature evaluating mutual fund performance using frontier techniques. The instruments applied, mostly DEA (Data Envelopment Analysis) and, to a lesser extent, FDH (Free Disposal Hull), are able to encompass several dimensions of performance, but they also have some disadvantages that might be preventing a wider acceptance. The recently developed order-m and order-α partial frontiers overcome some of the disadvantages (they are robust with respect to extreme values and noise, and do not suffer from the well-known curse of dimensionality) while keeping the main virtues of DEA and FDH (they are fully nonparametric). In this article we apply not only the non-convex counterpart of DEA (FDH) but also order-m and order-α partial frontiers to a sample of US mutual funds. The results obtained for both order-m and order-α are useful, since a full ranking of the mutual funds' performance can be obtained. We merge these methods with the literature on mutual fund performance persistence. By combining the two literatures we derive an algorithm which establishes how the choice of m and α parameters intrinsic to order-m and order-α (respectively) relate to the existence of performance persistence and the contrarian effect
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