International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education最新文献_第10页

Factors Selection for Stock Predicting Based on Vertical and Horizontal Analysis of Technology Giants 基于科技巨头纵向和横向分析的股票预测因素选择

International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education Pub Date : 2022-01-14 DOI: 10.1145/3514262.3514328

Yuehao Li

{"title":"Factors Selection for Stock Predicting Based on Vertical and Horizontal Analysis of Technology Giants","authors":"Yuehao Li","doi":"10.1145/3514262.3514328","DOIUrl":"https://doi.org/10.1145/3514262.3514328","url":null,"abstract":"The stock prediction with machine learning algorithms has been widely known and accepted by the investors and institutions. Whereas, the significances of the factors chosen in the machine learning based prediction are crucial. This article focuses on selecting the significant factors predicting the stock price and volatility from based on the Long short-term memory and Random Forest model. First of all, four years of the data of some technology giants’ stock, industry indexes, market indexes and settle price of the future are taken into consideration and prepared in advance. By creating the time series data and adding the data sets of some other possible factors, the research combines the vertical and horizontal analysis to calculate the importance of the features to forecast either return or volatility. The main factors analysis is used to select the feature, tune the day of time series and improve the model. Last but not least, the Principal Component Analysis and Grey Model are regarded as the farther research field. According to the results, 5 days of time series performs best in both predicting the return and volatility. Apart from that, the index value of Standard and Poor 500 Index Technology Plate and the average of the return are most significant for return prediction, when the standard deviation of Amazon, Microsoft, SPLRCT and USTEC are most important features for volatility. The future research direction lies in the theoretical proof of the effectiveness of the combination of the horizontal and vertical analysis and more empirical research will be done to enhance the confidence of the result. These results shed light on the most significant factors of the return and standard deviation and obviously hence the accuracy of the prediction.","PeriodicalId":37324,"journal":{"name":"International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72902431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Early Childhood Pre-service Teachers’ Belief, Understanding, Self–efficacy, Intention and Conceptions of STEM 幼儿职前教师对STEM的信念、理解、自我效能感、意向与概念

International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education Pub Date : 2022-01-14 DOI: 10.1145/3514262.3514348

Dhana A. Canoy, D. D. Errabo

引用次数: 0

Latent Class Model for the External Factors Affecting the Mathematics Performance 影响数学成绩外部因素的潜在类别模型

International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education Pub Date : 2022-01-14 DOI: 10.1145/3514262.3514264

Lalaine Buenaobra, N. Nacion

引用次数: 0

Dynamic Financial Analysis for Performance Evaluation in the Property Insurance Industry 财产保险业绩效评价的动态财务分析

International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education Pub Date : 2022-01-14 DOI: 10.1145/3514262.3514349

Pi-Chun Hsu, Tsai-Jung Tsai, T. Wang

引用次数: 0

A Study on China-ASEAN Cross-Border E-Commerce Logistics Based on the New International Land-Sea Trade Corridor 基于新型国际陆海贸易走廊的中国-东盟跨境电子商务物流研究

International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education Pub Date : 2022-01-14 DOI: 10.1145/3514262.3514290

Huilin Lei

{"title":"A Study on China-ASEAN Cross-Border E-Commerce Logistics Based on the New International Land-Sea Trade Corridor","authors":"Huilin Lei","doi":"10.1145/3514262.3514290","DOIUrl":"https://doi.org/10.1145/3514262.3514290","url":null,"abstract":"The New International Land-Sea Trade Corridor (ILSTC), originated from the China-Singapore (Chongqing) Demonstration Initiative on Strategic Connectivity (CCI), is an important part of China's Belt&Road initiative. The construction of ILSTC provides a more well-functioning infrastructure and optimized business climate for trade interconnection between China and the ASEAN countries, which drives cross-border e-commerce (CBEC) to develop rapidly. The development of CBEC relies on the support of cross-border e-commerce logistics (CBECL), and the two are mutually reinforcing. At present, the incongruous growth of China-ASEAN CBEC and CBECL is the main factor restricting the cross-border business between the two economies. The main problems are shown in the great divide in infrastructure construction, lack of logistics standards unification, high logistics costs, and low timeliness. This paper analyzes the development of China-ASEAN CBEC and logistics in the background of ILSTC construction, combined with the e-commerce connectivity index (ECI) and logistics performance index (LPI). Benefiting from ILSTC to explore necessary suggestions of upgrading and cooperating CBECL in regions. The paper aims to promote further CBEC cooperation between China and the ten ASEAN countries.","PeriodicalId":37324,"journal":{"name":"International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82270090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Markowitz and Index Models for Optimizing Investment Portfolio Study During COVID-19 Pandemic COVID-19大流行期间优化投资组合研究的Markowitz和指数模型

International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education Pub Date : 2022-01-14 DOI: 10.1145/3514262.3514338

Wenxuan Lyu, Shi-En Cui, Tao Li

引用次数: 0

Development of E-Modules Based on Learning Style to Facilitate Study during Pandemic 基于学习方式的e -模块开发促进疫情期间的学习

International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education Pub Date : 2022-01-14 DOI: 10.1145/3514262.3514277

Desy Purwasih, I. Wilujeng, J. Jumadi, Tri Wahyuni

{"title":"Development of E-Modules Based on Learning Style to Facilitate Study during Pandemic","authors":"Desy Purwasih, I. Wilujeng, J. Jumadi, Tri Wahyuni","doi":"10.1145/3514262.3514277","DOIUrl":"https://doi.org/10.1145/3514262.3514277","url":null,"abstract":"During pandemic covid-19, the government has been implemented distance learning. Distance learning is carried out using technology assistance. The teacher must package the learning to be more attractive and recognize the student's character. One of strategy from the teacher is that provide the teaching material based on student learning style. So this research has the purpose of developing an e-module based on the student learning style to facilitate study during the pandemic. Types of this research are Research and Development (R&D) that use the 4D model. 4D models are defined, designed, developed, and disseminated. The participants are composed of 103 students of grade 8th to analyze types of learning style and 20 of grade 8 students to analyze student's responses toward e-module. The types of data in this study are qualitative and quantitative data—the Collecting data in this study uses a questionnaire by Google form to analyze learning style. Based on the research, the student tends to use auditory and kinesthetic learning, E-module gets 81% for validity test with excellent categorize. The average results for students' responses toward e-module are 87.68%, with excellent categorize that means the developed e-module is practical to use and facilitates the independent learning process.","PeriodicalId":37324,"journal":{"name":"International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86897818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Mathematics Teachers’ Knowledge, Attitudes, and Practices in using Evidence-based Instructional Practices 数学教师运用循证教学实践的知识、态度和实践

International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education Pub Date : 2022-01-14 DOI: 10.1145/3514262.3514266

Edrian Peter Balela Villanueva, M. Prudente

{"title":"Mathematics Teachers’ Knowledge, Attitudes, and Practices in using Evidence-based Instructional Practices","authors":"Edrian Peter Balela Villanueva, M. Prudente","doi":"10.1145/3514262.3514266","DOIUrl":"https://doi.org/10.1145/3514262.3514266","url":null,"abstract":"The recent results from national and international standardized examinations in Mathematics have pushed the Philippines Department of Education (DepEd) to revisit the instructional approaches used in the Filipino classrooms. One of the recommendations of DepEd is the use of evidence-based instructional practices (EBIPs). However, little is known regarding the factors that influence Filipino mathematics teachers’ implementation of a certain teaching strategy. The main objective of this current study is to find out whether mathematics teachers’ knowledge and attitudes predict their practice of EBIPs. This descriptive study involved 114 teacher-respondents from one district in Laguna. Data were gathered using a researchers-made questionnaire distributed online using Google forms. Findings revealed that 47.5% of mathematics teachers, in general, are knowledgeable of EBIPs while 36.57% of the respondents have misconceptions about EBIPs. In addition, it was found that, generally, they have a positive attitude towards EBIPs (M = 3.63, SD = 0.51). The result also showed that the respondents employ EBIPs in their classrooms to a moderate extent (M = 3.19, SD = 0.46). Teacher-respondents reported that they are satisfied with the implementation of a teaching strategy when a strategy is beneficial for the learners’ holistic development and helps improve the pedagogical process. Stepwise multiple regression analysis revealed that mathematics teachers’ attitude towards EBIPs and misconception of EBIPs predict their use of the evidence-based practice. Findings indicate the there is a need to correct these misconceptions through proper information dissemination of EBIPs.","PeriodicalId":37324,"journal":{"name":"International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85487129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forecasting Short-Term Crude Oil Price Movements using Futures Market Dynamics: Crude Oil Forecasting with Futures Market Properties 利用期货市场动态预测短期原油价格走势:原油期货市场属性预测

International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education Pub Date : 2022-01-14 DOI: 10.1145/3514262.3514335

Hanlin Zhu, Sichen Zhou, Mengyuan Wang

{"title":"Forecasting Short-Term Crude Oil Price Movements using Futures Market Dynamics: Crude Oil Forecasting with Futures Market Properties","authors":"Hanlin Zhu, Sichen Zhou, Mengyuan Wang","doi":"10.1145/3514262.3514335","DOIUrl":"https://doi.org/10.1145/3514262.3514335","url":null,"abstract":"This paper investigates the predictability of the crude oil spot price within a time horizon of five days, taking into account the information extracted from the term structure of oil futures prices. Two experimental cases are established and examined with historical data from 2000 to 2020: first, as the benchmark, only lagged daily cash price fluctuations are used as input to project price evolution five steps forward; in the second case with the same objective, the study considers both spot prices and the time series of factors obtained through futures curve decomposition by Principal Component Analysis (PCA). In each case, the study implements both an autoregressive time series analysis and a Long Short-Term Memory model (LSTM) to generate the predictions of interest. Simplified grid searches are performed based on validation loss to determine the latter's optimal design and hyperparameter values. With Root Mean Square Error (RMSE) and Coefficient of Determination () as performance evaluation measures, out-of-sample tests lead to a decently encouraging result for the significance of futures market properties as predictors of the spot. That is, potentially, prices of futures contracts aggregate new information that facilitates cash price forecasting. Besides, despite the fact that their accuracy for 1-Day Ahead prediction fails to surpass linear, econometric models, LSTM models demonstrate overall better predicting capability, highlighting implicit nonlinear dependencies within the dataset, and hence serve as reliable approaches to energy forecasting.","PeriodicalId":37324,"journal":{"name":"International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86203752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on the Decisive Factors of Portfolio Return in Stock Market – Based on the Extension of Five-factor Asset Pricing Model 股票市场投资组合收益的决定因素研究——基于五因素资产定价模型的扩展

International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education Pub Date : 2022-01-14 DOI: 10.1145/3514262.3514326

Yu-pin Hu, Boru Liu, Jiayi Wu, Suwen Zheng

{"title":"Research on the Decisive Factors of Portfolio Return in Stock Market – Based on the Extension of Five-factor Asset Pricing Model","authors":"Yu-pin Hu, Boru Liu, Jiayi Wu, Suwen Zheng","doi":"10.1145/3514262.3514326","DOIUrl":"https://doi.org/10.1145/3514262.3514326","url":null,"abstract":"Based on Fama and French's five-factor model, this paper introduces a new momentum factor MOM on the extension of MKT, SMB, HML, RMW, and CMA, aiming to explore which factor has a relatively greater impact on the change of the stock market. Data of six portfolios from the year 1963 to 2019 at the start of each month are selected to deduce their relationship with six factors through multiple linear regression. Variance inflation factor and correlation coefficient are both calculated to exclude the multicollinearity among the regressors. R-squared about six portfolios are all above 0.9, meaning that six portfolios fit the six-factor model well. The results indicate that the factor MKT is positively significant to all six portfolios, and the coefficient of MKT is the highest among all the factors, very close to 1 or even above, which suggests MKT has the biggest impact on six portfolios and the six portfolios fit the market trend well. The outcome also illustrates that factor MOM is of less significance to the six portfolios. However, MOM is negatively significant to portfolios 1,2,5, and 6, thus should not be ignored.","PeriodicalId":37324,"journal":{"name":"International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75837354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0