The University of Buckingham Press Journals
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Enhanced General Practice Training Placements and their Role in General Practice Training
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Empirical Analysis of Bitcoin and Major Cryptocurrencies Prices
No full textCryptocurrency is a relatively new phenomenon that is attracting a lot of interest. On the one hand, it is built on a brand-new technology whose full potential has yet to be realised. On the other hand, it performs similar services to other, more traditional assets, at least in its current form. The development of theoretical models of cryptocurrencies has received a lot of academic attention. Many elements have been mentioned in the theoretical literature on cryptocurrencies as potentially important in cryptocurrencies' pricing. The cryptocurrencies with a market value of over $100m between 01/01/2018 and 12/05/2021 have been selected for this research. Time series analysis has been done to investigate the price relationship between cryptocurrencies. The results pointed out as major cryptocurrencies' prices are linked to Bitcoin prices
Predicting the Supply chain impacts on investment behaviour due to the COVID-19 outbreak - Evidence from Indian Stock Market
No full textPurpose: As the Covid-19 virus originated from China, there was an anti-China sentiment all over the world. The purpose of our study is to find out whether this anti-China sentiment affected the stock return of the companies dependent on Chinese supply chain vis-à-vis the companies those do not have a Chinese supply chain link.
Methodology: To analyze the impact of announcements on lockdown and relief measures by the government on stock market data, we use the dummy variable approach in the event methodology suggested by Karafiath (1988). We observe the stock market reaction to lockdown and relief measure announcements on consecutive seven days after the announcement.
Findings: Overall findings show us that investors did not have a negative outlook on firms with Chinese suppliers. The investors are either not aware of the companies' Chinese supply link or do not consider these at the time of investing. The potential problems associated with supply chain disruptions are overlooked if we do not consider the supply chain information when investing.
Originality: Our paper is unique because there is no study on the supply chain glitches of Indian companies’ dependent on the Chinese supply chain due to the Covid-19 breakout
HOW LEADERSHIP EMERGED AS AN ISSUE FOR SCHOOLS – AND SOME REFLECTIONS ON SCHOOL LEADERSHIP TODAY
Full text linkThis paper complements the article elsewhere in the journal by Mick Waters. It traces the origins of the present focus within the UK on school leadership, outlines the importance of applying well-judged approaches to Appreciative Inquiry, Problem Solving and Ensuring Compliance to leadership practices in establishing organisational cultures and managing complex change and briefly suggests a re-setting of schooling purposes and aims for a new age in schooling better adjusted to our citizens’ present and future needs
A Bayesian Assessment of Casino Promotions
No full textCasinos use Cash (Free Play), Direct Mail and E-Mail Blasts, Buffet coupons, and Hotel Marketing among other offers in order to retain their loyal customers and also to invite new players to join their loyalty club. This study assessed the effectiveness of such promotions in terms of generated gaming revenues. Data from two mid-size casinos are used for this purpose. The method of Bayesian general linear models is used to determine the effects of various promotions on gaming revenue streams. Several promotion types were shown to have a significant impact on gaming revenue streams
EDITORIAL: AN EDUCATION CONFERENCE LIKE NO OTHER
Full text linkEducation is a beautiful thing. It is a truly wondrous, marvellous, hopeful thing. I strongly believe it is humanity’s best bet for bringing about a more harmonious, less hair-raising state of world affairs.However – as the quote above captures so brilliantly – it would be fair to say that our education system remains a ‘work in progress’, and that there is more than a little room for improvement
Interaction of Onshore and Offshore Rupee Markets
No full textThe study investigates the trading in onshore and offshore Rupee Futures trading on exchanges focusing on the deviations from the equilibrium. Both onshore and offshore rates fundamentally represent the same economic asset and should have similar price dynamics; however, they deviate significantly. We model the interaction of the onshore-offshore rupee market using Continuous Futures Rupee Data. The differential in the prices of onshore and offshore Rupee Futures are analyzed with respect to the volatility and interest rates factoring in the capital and trading controls. An extended GARCH(1,1) with Relative Equity and Commodity Index along with VIX in the mean and conditional variance fit the differential of the onshore-offshore Rupee Futures. The understanding of the behavior of onshore-offshore markets is essential for Policymakers to adopt a successful exchange rate policy and traders and institutions to make informed decisions
LEADING FOR EXPERTISE AS WELL AS EFFICIENCY
Full text linkWhile leadership is usually a dispersed activity within schools, it is associated traditionally with headship. The role of headship has changed from a relatively benign first among equals to being the focus of accountability some way down the leadership pyramid in the English school system. This paper explores the challenges for head teachers at present and the styles of leadership that have evolved. It also proposes a way in which leadership of schooling can be rooted once more in the development and improvement of teaching and learning.The reference background for the paper comes from academic research, some of which provided the basis for ‘About Our Schools: Improving on Previous Best’1, as well as pragmatic research due to a regular presence in classrooms and schools.The article is intended to dovetail with the parallel piece in this journal by Tim Brighouse
A Comparative Study of Machine Learning Models For NCAA Men’s Basketball Tournament Games Outcome Prediction
No full textThe evolution of machine learning has produced many avant-garde prediction algorithms, some of which provide more accurate predictions than conventional statistical tools. For the last two decades, machine learning (ML) approaches have largely been employed to predict game results. The purpose of this study is to utilize data gathered from web sources on the performance of 354 NCAA basketball teams over five seasons from 2015 to 2019 to forecast the results of NCAA men’s basketball tournament games with an assortment of big data and machine learning classification models. Among these include Sweet Sixteen, Elite Eight, and Final Four. The prediction results of each model were analysed and compared, and Decision Tree showed the best prediction performance compared with KNN, Logistic Regression, and SVM classification models, with a prediction accuracy of 75.71%, but Decision Tree was prone to overfitting problems. However, the Decision Tree is prone to overfitting problems, while Random Forest can correct the overfitting problem of Decision Tree by bagging and reduce the variance of Decision Tree prediction. Therefore, this study hypothesized that Random Forest would outperform Decision Tree in predicting NCAA game results. The results showed that, after a comprehensiveanalysis and comparison of the evaluation metrics of the Decision Tree and Random Forest models, Random Forest was found to have better acceptable forecast performance than Decision Tree, with a prediction accuracy of 85.71%
Crash Prediction Using Fundamental Variables: Evidence from Mainland China
No full textThis article investigates how fundamental crash prediction models perform in mainland China’s fast-growing equity markets. We apply three families of fundamental models, price-to-earnings ratio, cyclically adjusted price-to-earnings ratio, and bond-stock earnings yield differential, to the Shanghai and Shenzhen stock indices. Our statistical analysis supports the dominant view that Chinese equity markets behave different from U.S. markets. We find that fundamental models are significant predictors of equity market crashes in China despite these differences. Finally, we show how to use these crash prediction models to improve active portfolio management