scholarly journals A broad analysis of short-term overreactions in the market for cryptocurrencies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tobias Kellner ◽  
Dominik Maltritz
Keyword(s):  
Methodological Approach ◽  
Abnormal Returns ◽  
Short Term ◽  
Data Set ◽  
Content Type ◽  
Market Inefficiencies ◽  
Price Patterns ◽  
Methodological Approaches ◽  
Market Size Effect ◽  
Practical Implications

PurposeThe purpose of this study is to analyze market inefficiencies in the market for cryptocurrencies by providing a comprehensive analysis of short-term (over)reactions that follow significant price changes of such currencies.Design/methodology/approachThis study identifies and analyzes overreactions and mispricing in markets for cryptocurrencies by applying a broad set of thresholds that depend on market-specific dynamics and volatilities. This study also analyzes the returns on days following abnormal returns and identifies significant differences from normal returns using the t-test and the Mann–Whitney U-test. The researchers further complement the literature by using end-of-the-day returns in addition to high-low returns. Additionally, this study considers a broad sample of 50 cryptocurrencies for an expanded time span (2015–2020) that includes the big currencies as well as smaller currencies.FindingsFindings detect the existence of overreactions and, thus, market inefficiencies in crypto markets. The findings for different methodological approaches are similar, which underpins the robustness of the findings. By considering a broad sample that includes small and big currencies, we can show the existence of a market size effect. By considering a broad set of thresholds, the authors further found evidence for a magnitude effect, which means that higher initial abnormal returns are related to higher inefficiencies.Practical implicationsThis paper has practical implications. Market inefficiencies were detected, which can be used in practical trading to obtain excess returns. In fact, methodological approach of this study and its results can be used to derive a strategy for trading in cryptocurrencies that can be easily implemented. Based on the study’s findings, the authors can expect positive access returns by applying this trading strategy.Originality/valueThe authors complement the literature on market inefficiencies and mispricing in crypto markets by analyzing price patterns after initial abnormal returns. Researchers contribute by applying different methodological approaches in addition to the approaches used so far, by considering a set of different thresholds and by applying a much broader data set that enables the study to analyze additional aspects.

Fusion based learning approach for predicting concrete pouring productivity based on construction and supply parameters

2016 ◽  
Vol 16 (2) ◽  
pp. 185-202 ◽  
Author(s):  
Mojtaba Maghrebi ◽  
Ali Shamsoddini ◽  
S. Travis Waller
Keyword(s):  
Supply Chain ◽  
Production Rate ◽  
Learning Method ◽  
Data Set ◽  
Content Type ◽  
Field Database ◽  
The Stability ◽  
Stable Learning ◽  
Ready Mixed Concrete ◽  
Practical Implications

Purpose The purpose of this paper is to predict the concrete pouring production rate by considering both construction and supply parameters, and by using a more stable learning method. Design/methodology/approach Unlike similar approaches, this paper considers not only construction site parameters, but also supply chain parameters. Machine learner fusion-regression (MLF-R) is used to predict the production rate of concrete pouring tasks. Findings MLF-R is used on a field database including 2,600 deliveries to 507 different locations. The proposed data set and the results are compared with ANN-Gaussian, ANN-Sigmoid and Adaboost.R2 (ANN-Gaussian). The results show better performance of MLF-R obtaining the least root mean square error (RMSE) compared with other methods. Moreover, the RMSEs derived from the predictions by MLF-R in some trials had the least standard deviation, indicating the stability of this approach among similar used approaches. Practical implications The size of the database used in this study is much larger than the size of databases used in previous studies. It helps authors draw their conclusions more confidently and introduce more generalised models that can be used in the ready-mixed concrete industry. Originality/value Introducing a more stable learning method for predicting the concrete pouring production rate helps not only construction parameters, but also traffic and supply chain parameters.

scholarly journals “Happy slaves”? The adaptation problem and identity politics in the writings of Amartya Sen

2016 ◽  
Vol 43 (12) ◽  
pp. 1178-1193
Author(s):  
Tony Burns
Keyword(s):  
Identity Politics ◽  
Design Methodology ◽  
Conceptual Analysis ◽  
Practical Implication ◽  
Methodological Approach ◽  
Mary Wollstonecraft ◽  
Amartya Sen ◽  
Content Type ◽  
The Relationship ◽  
Practical Implications

Purpose The purpose of this paper is to examine the relationship between Amartya Sen’s notion of adaptation and his views on identity politics by focussing on the issue of slavery and, more specifically, on the example of the happy or contented slave. Design/methodology/approach The paper is text based. The methodological approach adopted is that of conceptual analysis, as is typical for work of this kind. Findings The paper concludes that the example of the happy or contented slave is indeed a fruitful one for those interested in exploring the relationship between Sen’s views on “the adaptation problem” and his views on identity politics, especially in relation to the subjection of women. Here Sen’s debt to the ideas of Mary Wollstonecraft and John Stuart Mill is particularly important. Research limitations/implications One implication of the argument of the paper is that there is a need to consider more carefully the differences that exist between the views of Wollstonecraft and Mill, so far as the example of the happy or contented slave is concerned. Practical implications One practical implication of the paper is that, hopefully, it establishes the continued relevance of the ideas of thinkers such as Wollstonecraft and Mill today, not least because of the influence that they have had on theoreticians such as Amartya Sen. Social implications The paper addresses issues which are of considerable social and political significance, especially for women in underdeveloped societies today. Originality/value The example of the happy or contented slave has not received much discussion in the literature on Sen, although Sen himself has suggested that the distinction between happiness and contentment is an important one, which does merit further discussion.

scholarly journals A surrogate-based generic classifier for Chinese TV series reviews

2017 ◽  
Vol 45 (2) ◽  
pp. 66-74
Author(s):  
Yufeng Ma ◽  
Long Xia ◽  
Wenqi Shen ◽  
Mi Zhou ◽  
Weiguo Fan
Keyword(s):  
Design Methodology ◽  
Experimental Result ◽  
Digital Information ◽  
Data Set ◽  
Content Type ◽  
Category Labels ◽  
Information Supply Chain ◽  
Feature Selection Techniques ◽  
Practical Implications

Purpose The purpose of this paper is automatic classification of TV series reviews based on generic categories. Design/methodology/approach What the authors mainly applied is using surrogate instead of specific roles or actors’ name in reviews to make reviews more generic. Besides, feature selection techniques and different kinds of classifiers are incorporated. Findings With roles’ and actors’ names replaced by generic tags, the experimental result showed that it can generalize well to agnostic TV series as compared with reviews keeping the original names. Research limitations/implications The model presented in this paper must be built on top of an already existed knowledge base like Baidu Encyclopedia. Such database takes lots of work. Practical implications Like in digital information supply chain, if reviews are part of the information to be transported or exchanged, then the model presented in this paper can help automatically identify individual review according to different requirements and help the information sharing. Originality/value One originality is that the authors proposed the surrogate-based approach to make reviews more generic. Besides, they also built a review data set of hot Chinese TV series, which includes eight generic category labels for each review.

Cryptocurrency bubble risk and the FOMC announcements during COVID-19 black swan event

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anis Jarboui ◽  
Emna Mnif
Keyword(s):  
Federal Reserve ◽  
Abnormal Returns ◽  
Relevant Information ◽  
Future Research ◽  
Open Market ◽  
Predictive Capacity ◽  
Federal Open Market Committee ◽  
Content Type ◽  
Cumulative Abnormal Returns ◽  
Practical Implications

Purpose After the COVID-19 outbreak, the Federal Reserve has undertaken several monetary policies to alleviate the pandemic consequences on the markets. This paper aims to evaluate the effects of the Federal Reserve monetary policy on the cryptocurrency dynamics during the COVID19 pandemic. Design/methodology/approach We examine the response and feedback effects via an event study methodology. For this purpose, abnormal returns (AR) and cumulative abnormal returns (CARs) around the first FOMC (Federal Open Market Committee) announcement related to the COVID-19 pandemic for the top five cryptocurrencies are explored. We, further investigate the effect of the eight FOMC statement announcements during the COVID19 pandemic on these cryptocurrencies (Bitcoin, Ethereum, Tether, Litecoin, and Ripple). In the above-mentioned crypto-currency markets, we investigate the presence of bubbles by using the PSY test. We then examine the concordance of the dates of these bubbles with the dates of the FOMC announcements. Findings The empirical results show that the first FOMC event has a negative significant effect after 4 days of the announcement date for all studied cryptocurrencies except Tether. The results also indicate that cumulative abnormal returns are significant during the event windows of (−3,8), (−3,9), and (−3,10). Besides, we find that Bitcoin, Ethereum and, Litecoin lived short bubbles lasting for a few days. However, Ripple and Tether markets present no bubbles and no explosive periods. Research limitations/implications This paper presents trained proof that FOMC announcements have a positive effect on volatility's predictive capacity. This work therefore promotes the study of the data quality of volatility in future research as well. Practical implications The justified effect of the FOMC announcements on cryptocurrency as a speculative asset has practical implications for investors in building their trading strategies in anticipation of the next FOMC announcement. Therefore, this study implies that the FOMC announcements contain very relevant information for investors in the cryptocurrency market. This research may not only encourage a better understanding of the evolution of the expectations of policymakers, but also facilitate a better understanding of how these expectations are developed. Originality/value The COVID-19 pandemic has disturbed the stability of financial markets, inciting the Fed to take some monetary regulations. To the best of our knowledge, this study is the first one that analyses the response of five major cryptocurrencies to FOMC announcements during COVID 19 pandemic and associates these dates with bubble occurrences.

Application of a methodological approach to compare ontologies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yudith Cardinale ◽  
Maria Alejandra Cornejo-Lupa ◽  
Alexander Pinto-De la Gala ◽  
Regina Ticona-Herrera
Keyword(s):  
Domain Knowledge ◽  
Design Methodology ◽  
Methodological Approach ◽  
Quality Model ◽  
Specific Domain ◽  
Content Type ◽  
Localization And Mapping ◽  
Golden Standard ◽  
Knowledge Levels ◽  
Practical Implications

Purpose This study aims to the OQuaRE quality model to the developed methodology. Design/methodology/approach Ontologies are formal, well-defined and flexible representations of knowledge related to a specific domain. They provide the base to develop efficient and interoperable solutions. Hence, a proliferation of ontologies in many domains is unleashed. Then, it is necessary to define how to compare such ontologies to decide which one is the most suitable for the specific needs of users/developers. As the emerging development of ontologies, several studies have proposed criteria to evaluate them. Findings In a previous study, the authors propose a methodological process to qualitatively and quantitatively compare ontologies at Lexical, Structural and Domain Knowledge levels, considering correctness and quality perspectives. As the evaluation methods of the proposal are based on a golden-standard, it can be customized to compare ontologies in any domain. Practical implications To show the suitability of the proposal, the authors apply the methodological approach to conduct comparative studies of ontologies in two different domains, one in the robotic area, in particular for the simultaneous localization and mapping (SLAM) problem; and the other one, in the cultural heritage domain. With these cases of study, the authors demonstrate that with this methodological comparative process, we are able to identify the strengths and weaknesses of ontologies, as well as the gaps still needed to fill in the target domains. Originality/value Using these metrics and the quality model from OQuaRE, the authors are incorporating a standard of software engineering at the quality validation into the Semantic Web.

The transition of a socio-technical system to a smart grid: illustrated with the Indian electricity network

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lakshminarayana Kompella
Keyword(s):  
Technical System ◽  
Transition Theory ◽  
Short Term ◽  
Indian States ◽  
Content Type ◽  
External Pressures ◽  
Policy Systems ◽  
Transition Trajectory ◽  
Practical Implications

Purpose This paper aims to explain transitions in a socio-technical system characterized by non-economic entities that influence economic activity, i.e. embeddedness and coalitions. The selected socio-technical system is an Indian electric network with an interventionist policy. Its embeddedness and coalitions drive the transition. The insights from such analysis expand socio-technical transition theory and provide valuable insights to practitioners in their policymaking. Design/methodology/approach The authors need to observe the effects of non-economic institutions in their setting. Moreover, in India, the regional policies influence decision-making; therefore, selected two Indian states. The two Indian states, along with their non-economic entities, provided diverse analytic and heuristic views. Findings The findings show that coalitions, with their embeddedness in the absence of any mediating policy systems, act as external pressures and influence innovation and the socio-technical system’s transition trajectory. Their coalitions’ embeddedness follows a shaping, not selection logic. Thereby influence innovations in cumulating as stable designs. Such an approach provides benefits in the short-term but not in the long-term. Research limitations/implications The study selected two states and examined two of the four trajectories. By considering other states, the authors can obtain more renewable energy investments and further insights into the transformational trajectory. Practical implications The study highlights the coalition dynamics specific to the Indian electric power network and its transition trajectories. The non-economic entities influenced transition trajectories, innovation and policymaking of the socio-technical system. Originality/value The study expands the socio-technical transition theory by including embeddedness. The embeddedness brings a shaping logic instead of a selection logic.

The effect of industry association on firm innovation in Chinese private ventures

2019 ◽  
Vol 57 (9) ◽  
pp. 2414-2435
Author(s):  
Wenge Zhang ◽  
Jun Li ◽  
Yiyuan Mai
Keyword(s):  
Moderating Effects ◽  
Firm Level ◽  
Firm Innovation ◽  
Data Set ◽  
Industry Association ◽  
Content Type ◽  
Emerging Industries ◽  
Practical Implications ◽  
Firm Learning

Purpose The purpose of this paper is to examine the relationship between industry association membership and firm innovation in Chinese private ventures. A secondary objective is to investigate potential moderating effects of firm learning practices and founder characteristics on the above relationship, and to draw out implications for policymakers and practitioners. Design/methodology/approach The paper utilizes data from a sample of 567 Chinese entrepreneurial firms operating in 9 designated emerging industries. Hierarchical regression models were employed to analyze the effect of industry association membership on firm innovation, and the potential moderating effects. A 2SLS procedure was adopted to control for potential endogeneity issue. Supplemental analyses were conducted to ensure the robustness of the findings. Findings The paper provides empirical insights about how industry association membership, along with firm learning practice and founder leadership, affect firm innovation in Chinese private ventures in emerging industries. It suggests that industry association membership positively affects firm innovation. Further, there is a three-way interaction effect of industry association membership, learning practice and founder power on innovation. Research limitations/implications Due to the design of the data set, there are some limitations. First, the study only considered whether a firm belongs to an industry association, but not the nature of such membership (length, firm status in the association, etc.). Second, the cross-sectional design may limit the power of the study to make casual implications about the tested relationships. Practical implications The paper provides important practical implications for policymakers and entrepreneurs in China. In general, the results suggest that private ventures pursuing innovation in emerging industries can benefit from industry associations, and entrepreneurs shall actively engage in firm-level and personal-level learning. For policymakers, the study suggests that to foster innovation in an emerging industry, special attention shall be paid to building necessary institutional support to develop and to strengthen the role of industry association in the industry. Originality/value This paper fulfills an important gap in the literature in that it is one of the first, which investigates the role of the industry association in firm innovation, especially in a non-western context. This paper provides new insights into the role of industry association and firm innovation in an under-researched developing economy context.

A directed content analysis of viewpoints on the changing patterns of Lean Six Sigma research

2019 ◽  
Vol 31 (4) ◽  
pp. 641-654 ◽  
Author(s):  
Bryan A. Rodgers ◽  
Jiju Antony ◽  
Zhen He ◽  
Elizabeth A. Cudney ◽  
Chad Laux
Keyword(s):  
Continuous Improvement ◽  
Six Sigma ◽  
Design Methodology ◽  
Lean Six Sigma ◽  
Current Status ◽  
Short Term ◽  
Content Type ◽  
Changing Patterns ◽  
Practical Implications

Purpose The purpose of this paper, builds on previous studies that explored the research patterns over 15 years, is to consider the current status of the integration of Lean and Six Sigma. More specifically, this research addresses whether Lean and Six Sigma are stronger together and explores the reasons why Lean researchers and practitioners may be less likely to integrate Six Sigma in their work. Design/methodology/approach The research utilises a survey of 25 established and respected academics and practitioners from 16 countries. The questionnaire is analysed using a direct content approach and coded in NVivo. Findings The findings suggest that challenges may lie in the perception and understanding of statistics as well as short-term rather than long-term focus on improvement. The findings also suggest that academics and practitioners believe that Lean Six Sigma has developed over time and will continue to develop and improve as a methodology rather than being replaced with a new methodology. Research limitations/implications The survey has a sample size of 25, albeit all respondents are established and very experienced practitioners and academics. Practical implications For organisations that are introducing or refreshing their continuous improvement initiatives, this research identifies some of the challenges and provides the opportunity to address them to maximise the opportunities for success and sustainability. Originality/value The value of this paper is that it further addresses the debate over the integration of Lean and Six Sigma for many organisations which still employ Lean alone, but beyond this it explores how they will continue to develop and whether they are a permanent edition to the quality management landscape or a transition to something else.

Students' perceptions of education for sustainable development

2014 ◽  
Vol 15 (2) ◽  
pp. 242-253 ◽  
Author(s):  
Yvonne Zeegers ◽  
Ian Francis Clark
Keyword(s):  
Design Methodology ◽  
Pedagogical Approach ◽  
Data Set ◽  
Content Type ◽  
Tertiary Institutions ◽  
Reflective Journal ◽  
Reflective Journals ◽  
The Social ◽  
Perceptions Of Education ◽  
Practical Implications

Purpose – This study investigated whether a course which focused on raising students' awareness of sustainability, from a balanced perspective, that is, one which gives equal consideration to the social and economic aspects as well as the environmental would produce graduates with the knowledge and commitment required to drive the sustainability agenda forward. The paper aims to discuss these issues. Design/methodology/approach – An analysis of students' final entries in their reflective journal was used to explore whether their views on sustainability reflected a balanced view. Findings – The findings of this research confirmed previous studies showed that initially students do have an enviro-centric bias. It also showed that despite experiencing a pedagogical approach which challenged views by encouraging discussion, debate, and reflection and which provided what was considered to be a balanced view of sustainability, many of the students still leaned towards an environmentally focused perspective of sustainability. Research limitations/implications – The conclusions are based on one data set but are supported by other data described in the paper. Practical implications – The finding led the authors to conclude that a concerted holistic effort within and across courses is needed within tertiary institutions if students' views about sustainability are to be challenged. Originality/value – The outcomes demonstrate that students' reflective journals can be used to gather information about the change in students' perceptions about sustainability.

scholarly journals Effects of agricultural credit on wheat productivity of small farms in Sindh, Pakistan

2018 ◽  
Vol 78 (5) ◽  
pp. 592-610 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Yuansheng Jiang ◽  
Feng Wei ◽  
Xu Guangshun
Keyword(s):  
Wheat Yield ◽  
Considerable Proportion ◽  
Small Scale ◽  
Small Farms ◽  
Short Term ◽  
Agricultural Credit ◽  
Data Set ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to evaluate the impact of short-term loan (STL) vs long-term loan (LTL) on wheat productivity of small farms in Sindh, Pakistan. Design/methodology/approach The econometric estimation is based on cross-sectional data collected in 2016 from 18 villages in three districts, i.e. Shikarpur, Sukkur and Shaheed Benazirabad, Sindh, Pakistan. The sample data set consist of 180 wheat farmers. The collected data were analyzed through different econometric techniques like Cobb–Douglas production function and Instrumental variables (two-stage least squares) approach. Findings This study reconfirmed that agricultural credit has a positive and highly significant effect on wheat productivity, while the short-term loan has a stronger effect on wheat productivity than the long-term loan. The reasons behind the phenomenon may be the significantly higher usage of agricultural inputs like seeds of improved variety and fertilizers which can be transformed into the wheat yield in the same year. However, the LTL users have significantly higher investments in land preparation, irrigation and plant protection, which may lead to higher wheat production in the coming years. Research limitations/implications In the present study, only those wheat farmers were considered who obtained agricultural loans from formal financial institutions like Zarai Taraqiati Bank Limited and Khushhali Bank. However, in the rural areas of Sindh, Pakistan, a considerable proportion of small-scale farmers take credit from informal financial channels. Therefore future researchers should consider the informal credits as well. Originality/value This is the first paper to examine the effects of agricultural credit on wheat productivity of small farms in Sindh, Pakistan. This paper will be an important addition to the emerging literature regarding effects of credit studies.

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