V. Valdebenito, Stefania Pareti, Samuel Carmona, David Flores
The objective of this study is to explore the scope in regions of technology and innovation, with respect to the library system of the National Cultural Heritage Service, to determine if it can facilitate the development of cultural management. The #BiblioVerano initiative issued by the National Cultural Heritage Service in Chile is considered as a case study, because: (1) it is a digitally promoted initiative to be applied virtually or in person; (2) it is a public campaign that encourages reading and cultural activities; (3) uses social networks as the main communication channel; (4) considers the coordination of a network of libraries at the national level that allow the democratization of reading through new physical and digital spaces. The methodology is carried out by performing a comparative analysis of the library networks of each of the twelve participating regions, based on predefined parameters. It is concluded that technology and innovation, supported by the creation of new digital platforms, can facilitate the development of cultural management in regions, as it already does in the capital Santiago, democratizing access to cultural initiatives, as is the case of "BiblioVerano”.
本研究的目的是探讨科技与创新在国家文物局图书馆系统方面的范围，以确定它是否可以促进文化管理的发展。智利国家文化遗产局(National Cultural Heritage Service)发起的#BiblioVerano倡议被视为一个案例研究，因为:(1)这是一项数字化推广的倡议，可以虚拟或亲自应用;(2)是一项鼓励阅读和文化活动的公众运动;(3)以社交网络为主要沟通渠道;(4)考虑在国家层面上协调图书馆网络，通过新的物理和数字空间实现阅读的民主化。该方法是根据预定义的参数，对12个参与地区的图书馆网络进行比较分析。结论是，在创建新的数字平台的支持下，技术和创新可以促进地区文化管理的发展，就像它在首都圣地亚哥所做的那样，使文化活动的获取民主化，就像“BiblioVerano”的情况一样。
{"title":"IT Education and Society, Scope and Electronic Accessibility to the Library System in Regions, Chile. The Case of #Bibliosummer","authors":"V. Valdebenito, Stefania Pareti, Samuel Carmona, David Flores","doi":"10.1145/3572647.3572678","DOIUrl":"https://doi.org/10.1145/3572647.3572678","url":null,"abstract":"The objective of this study is to explore the scope in regions of technology and innovation, with respect to the library system of the National Cultural Heritage Service, to determine if it can facilitate the development of cultural management. The #BiblioVerano initiative issued by the National Cultural Heritage Service in Chile is considered as a case study, because: (1) it is a digitally promoted initiative to be applied virtually or in person; (2) it is a public campaign that encourages reading and cultural activities; (3) uses social networks as the main communication channel; (4) considers the coordination of a network of libraries at the national level that allow the democratization of reading through new physical and digital spaces. The methodology is carried out by performing a comparative analysis of the library networks of each of the twelve participating regions, based on predefined parameters. It is concluded that technology and innovation, supported by the creation of new digital platforms, can facilitate the development of cultural management in regions, as it already does in the capital Santiago, democratizing access to cultural initiatives, as is the case of \"BiblioVerano”.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123267687","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}
M. Samonte, Novi Dacalaño, Christer John Esguerra, Reiniel Albert Potestades
This study explores the untapped potential of real estate technology and its effectiveness in user experience in online home tours by implementing panoramic techniques that help users improve their experience in home touring using a web application. The purpose of the application, ISEKAI, is to be a web app for an online virtual home tour. The study aims to measure the effectiveness of the application as well as its usability. This study uses a quantitative method, specifically an experimental-research design, to retrieve valuable information from the study using SUS and UEQ. The results of the findings were positive for SUS; the ISEKAI application received an excellent rating, and overall, the application is a proper-performing application by the users' standards, and its usability and performance were able to enrich the user experience of the users. The same could be said for UEQ as, overall, the user experience of the ISEKAI web application has an excellent rating for all six scales. The ISEKAI application demonstrated that virtual environments positively affect the experience of real estate virtual touring applications and achieve the desired result of the research objectives. Therefore, it is a functional application that has satisfied the needs of the researchers. More participants, partnered professionals in the real estate field, and features can improve the study. Future researchers can enhance the application by improving or implementing other virtual reality techniques.
{"title":"ISEKAI: A Virtual Real Estate Web Application Utilizing Constructive Simulation for Improving User Experience in Online Home Tours","authors":"M. Samonte, Novi Dacalaño, Christer John Esguerra, Reiniel Albert Potestades","doi":"10.1145/3572647.3572701","DOIUrl":"https://doi.org/10.1145/3572647.3572701","url":null,"abstract":"This study explores the untapped potential of real estate technology and its effectiveness in user experience in online home tours by implementing panoramic techniques that help users improve their experience in home touring using a web application. The purpose of the application, ISEKAI, is to be a web app for an online virtual home tour. The study aims to measure the effectiveness of the application as well as its usability. This study uses a quantitative method, specifically an experimental-research design, to retrieve valuable information from the study using SUS and UEQ. The results of the findings were positive for SUS; the ISEKAI application received an excellent rating, and overall, the application is a proper-performing application by the users' standards, and its usability and performance were able to enrich the user experience of the users. The same could be said for UEQ as, overall, the user experience of the ISEKAI web application has an excellent rating for all six scales. The ISEKAI application demonstrated that virtual environments positively affect the experience of real estate virtual touring applications and achieve the desired result of the research objectives. Therefore, it is a functional application that has satisfied the needs of the researchers. More participants, partnered professionals in the real estate field, and features can improve the study. Future researchers can enhance the application by improving or implementing other virtual reality techniques.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121048456","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}
The multi-dimensional association rule algorithm in data mining was used to quantitatively analyze the influence relationship between carbon emission futures price (CEFP) and ten influencing Europe economic factors in four aspects: population and employment, consumption, domestic product, foreign trade. The results showed that, in terms of population and employment factors, unemployment was negatively correlated with CEFP. In terms of consumption, CEFP is positively correlated with consumption level. In terms of domestic product, CEFP price is positively correlated with gross domestic product, gross added value and total economy. Data mining technology is used to quantitatively analyze the correlation degree between CEFP and influencing factors, in order to provide scientific basis for the relevant departments to invest CEFP.
{"title":"A Novel Muilti-layer Associate Rules Mining Algorithm for Relations between Carbon Emission Futures Price and European Economy","authors":"Bing He, Wei Xiao, Yuanyuan Hu, Pingping Xiang","doi":"10.1145/3572647.3572694","DOIUrl":"https://doi.org/10.1145/3572647.3572694","url":null,"abstract":"The multi-dimensional association rule algorithm in data mining was used to quantitatively analyze the influence relationship between carbon emission futures price (CEFP) and ten influencing Europe economic factors in four aspects: population and employment, consumption, domestic product, foreign trade. The results showed that, in terms of population and employment factors, unemployment was negatively correlated with CEFP. In terms of consumption, CEFP is positively correlated with consumption level. In terms of domestic product, CEFP price is positively correlated with gross domestic product, gross added value and total economy. Data mining technology is used to quantitatively analyze the correlation degree between CEFP and influencing factors, in order to provide scientific basis for the relevant departments to invest CEFP.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"os-8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127979499","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}
Yuehua Wu, Kaiqian Zhang, Jiehong Huang, Qisong Wang
This study confirms that the applicability of the Fama-French five-factor model in the Chinese market is related to the characteristics of the Chinese stock market, studies the factor differences between GEM and STB in China market and uses random forest algorithms to make predictions in different types of stock markets. It is concluded that SMB is the most significant in the Chinese market, GEM and STB has no significant difference. In addition, this work examines the change in returns of the pharmaceutical sector before and after the epidemic, perform time series analysis and independent sample mean test on the SMB size factor, then analyzes the policy reasons for the trend of the pharmaceutical sector and draw the conclusions that the epidemic has a negative effect on the SMB and the time trend has a positive effect on the SMB factor under the influence of controlling the epidemic.
{"title":"Research on the Change of the SMB of the Medical Sector before and after the Epidemic","authors":"Yuehua Wu, Kaiqian Zhang, Jiehong Huang, Qisong Wang","doi":"10.1145/3572647.3572693","DOIUrl":"https://doi.org/10.1145/3572647.3572693","url":null,"abstract":"This study confirms that the applicability of the Fama-French five-factor model in the Chinese market is related to the characteristics of the Chinese stock market, studies the factor differences between GEM and STB in China market and uses random forest algorithms to make predictions in different types of stock markets. It is concluded that SMB is the most significant in the Chinese market, GEM and STB has no significant difference. In addition, this work examines the change in returns of the pharmaceutical sector before and after the epidemic, perform time series analysis and independent sample mean test on the SMB size factor, then analyzes the policy reasons for the trend of the pharmaceutical sector and draw the conclusions that the epidemic has a negative effect on the SMB and the time trend has a positive effect on the SMB factor under the influence of controlling the epidemic.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128257945","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}
Because American options generally do not have analytical solutions, their pricing has always been a hot issue in the theoretical and industry circles. American options have always dominated the market in terms of ownership because they give buyers more freedom to trade, but their early tradable characteristics make it difficult to simulate their pricing, and traditional methods are not adaptable and accurate enough to be effectively applied to multiple Actual environmental requirements for American-style options for variables and parameters. In recent years, with the development of option pricing theory, some American options pricing methods based on Monte Carlo simulation method have appeared. To solve the problem of inefficiency of reverse substitution, this paper proposes a Monte Carlo method to improve the efficiency of pricing. Based on this, this paper firstly analyzes the characteristics and simulation methods of the Monte Carlo model in depth, especially for the shortcomings of the model, and gives a strategy to reduce its variance. Secondly, the optimization strategy and optimization steps of the stochastic process of option pricing are designed, and the variable control strategy is analyzed from the importance sampling simulation and stratified sampling simulation of American options. Finally, this paper verifies the effectiveness of the Monte Carlo model based on multiple sets of option data, and further compares the differences between the models before and after optimization in the American option pricing simulation. The results of this paper show that the fusion of the Monte Carlo simulation model can greatly improve the pricing of American options.
{"title":"Simulation Analysis of American Style Option Pricing Incorporating Monte Carlo Simulation Models","authors":"Yu Zhao","doi":"10.1145/3572647.3572688","DOIUrl":"https://doi.org/10.1145/3572647.3572688","url":null,"abstract":"Because American options generally do not have analytical solutions, their pricing has always been a hot issue in the theoretical and industry circles. American options have always dominated the market in terms of ownership because they give buyers more freedom to trade, but their early tradable characteristics make it difficult to simulate their pricing, and traditional methods are not adaptable and accurate enough to be effectively applied to multiple Actual environmental requirements for American-style options for variables and parameters. In recent years, with the development of option pricing theory, some American options pricing methods based on Monte Carlo simulation method have appeared. To solve the problem of inefficiency of reverse substitution, this paper proposes a Monte Carlo method to improve the efficiency of pricing. Based on this, this paper firstly analyzes the characteristics and simulation methods of the Monte Carlo model in depth, especially for the shortcomings of the model, and gives a strategy to reduce its variance. Secondly, the optimization strategy and optimization steps of the stochastic process of option pricing are designed, and the variable control strategy is analyzed from the importance sampling simulation and stratified sampling simulation of American options. Finally, this paper verifies the effectiveness of the Monte Carlo model based on multiple sets of option data, and further compares the differences between the models before and after optimization in the American option pricing simulation. The results of this paper show that the fusion of the Monte Carlo simulation model can greatly improve the pricing of American options.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"84 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125921458","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}
As technology thrives in this era, significant amounts of people live dependently on technologies, this phenomenon of the shift in lively dependency brought hidden concerns into the society. The purpose of this study is to investigate the influence of privacy concerns on the acceptance of position tracking technologies, such as the Global Navigation Satellite System (GNSS), based on the technology acceptance model (TAM). 265 valid questionnaires were collected and analyzed, a vast majority of which was conscious about the use of the GNSS, and some were concerned about the fact that they are constantly under the use of the system. A theoretical framework with corresponding hypotheses was proposed. Confirmatory factor analysis (CFA) and structural equation model (SEM) were applied to test the acceptance of the hypotheses. The results of the study reveal that the privacy concerns have a positive effect on both perceived usefulness and perceived ease of use, perceived ease of use has a positive effect on perceived usefulness, furthermore, both perceived ease of use and perceived usefulness also have a positive effect on the behavior intention to use and accept the GNSS.
{"title":"The Effect of Privacy Concerns on the Acceptance of the Global Navigation Satellite System (GNSS): The Application of Technology Acceptance Model (TAM)","authors":"C. Tsai, Che Hsi Chang","doi":"10.1145/3572647.3572665","DOIUrl":"https://doi.org/10.1145/3572647.3572665","url":null,"abstract":"As technology thrives in this era, significant amounts of people live dependently on technologies, this phenomenon of the shift in lively dependency brought hidden concerns into the society. The purpose of this study is to investigate the influence of privacy concerns on the acceptance of position tracking technologies, such as the Global Navigation Satellite System (GNSS), based on the technology acceptance model (TAM). 265 valid questionnaires were collected and analyzed, a vast majority of which was conscious about the use of the GNSS, and some were concerned about the fact that they are constantly under the use of the system. A theoretical framework with corresponding hypotheses was proposed. Confirmatory factor analysis (CFA) and structural equation model (SEM) were applied to test the acceptance of the hypotheses. The results of the study reveal that the privacy concerns have a positive effect on both perceived usefulness and perceived ease of use, perceived ease of use has a positive effect on perceived usefulness, furthermore, both perceived ease of use and perceived usefulness also have a positive effect on the behavior intention to use and accept the GNSS.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122126314","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}
The risk of a credit card user going into more than 30 days of debt and hence going into bad credit standing leaves to be a concern for both the user and credit card providers, but there could be multiple factors and reasons why would a person breaks agreements and go out of good credit standing. Using exploratory data analysis, the paper examines a Kaggle credit card dataset to examine and identify if a credit card user or applicant can maintain a good credit standing based on their user information. Multiple different affecting factors were found, identified, and classified if it has good correlation, weak correlation, or no correlation to good credit standing. The correlating factors are recommended to be potentially fed into a regression model to be able to predict users at risk of being in bad credit standing.
{"title":"Factors Affecting Credit Card Users’ Potential in Maintaining Good Credit Standing","authors":"M. Samonte, Wena Bascones, Karel S. San Juan","doi":"10.1145/3572647.3572670","DOIUrl":"https://doi.org/10.1145/3572647.3572670","url":null,"abstract":"The risk of a credit card user going into more than 30 days of debt and hence going into bad credit standing leaves to be a concern for both the user and credit card providers, but there could be multiple factors and reasons why would a person breaks agreements and go out of good credit standing. Using exploratory data analysis, the paper examines a Kaggle credit card dataset to examine and identify if a credit card user or applicant can maintain a good credit standing based on their user information. Multiple different affecting factors were found, identified, and classified if it has good correlation, weak correlation, or no correlation to good credit standing. The correlating factors are recommended to be potentially fed into a regression model to be able to predict users at risk of being in bad credit standing.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123465048","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}
With the vigorous development of the economic industry, various types of financial management mechanisms have become the basic trend in the development process of the company, and gradually enhance the basic management attention of each company's analysis field. In this paper, the basic company financial model under each classification is comprehensively interpreted, and the basic laws and practical effects of different stages are analyzed, so as to infer the force of classifier financial analysis model on the actual company management development field. On this basis, this paper puts forward the BP neural network model innovatively. Starting from the linear maximum interval and its optimal classification integration model, through the economic construction of the operation mode of listed companies, based on the application of research data in practical research, this paper obtains the classifier model based on BP neural network financial analysis application construction system model, and based on this, takes listed companies as the starting point The main classifier Financial Optimization Analysis and the upgrading exercise of BP neural network mode, finally establish the most effective index type, summarize the best benefit of the classifier model financial analysis, in order to achieve the diversification goal of the classifier model financial analysis field constructed by BP neural network.
{"title":"Application of Classifier Model Based on BP Neural Network in Financial Analysis Field","authors":"Chang Qu","doi":"10.1145/3572647.3572691","DOIUrl":"https://doi.org/10.1145/3572647.3572691","url":null,"abstract":"With the vigorous development of the economic industry, various types of financial management mechanisms have become the basic trend in the development process of the company, and gradually enhance the basic management attention of each company's analysis field. In this paper, the basic company financial model under each classification is comprehensively interpreted, and the basic laws and practical effects of different stages are analyzed, so as to infer the force of classifier financial analysis model on the actual company management development field. On this basis, this paper puts forward the BP neural network model innovatively. Starting from the linear maximum interval and its optimal classification integration model, through the economic construction of the operation mode of listed companies, based on the application of research data in practical research, this paper obtains the classifier model based on BP neural network financial analysis application construction system model, and based on this, takes listed companies as the starting point The main classifier Financial Optimization Analysis and the upgrading exercise of BP neural network mode, finally establish the most effective index type, summarize the best benefit of the classifier model financial analysis, in order to achieve the diversification goal of the classifier model financial analysis field constructed by BP neural network.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"286 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131865524","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}
This study uses eye-movement equipment in conjunction with a questionnaire survey to conduct an empirical investigation of the various effects of emotional adaptation and product involvement on advertising effectiveness. The findings indicate that product involvement can indirectly promote users' advertising attitudes and affect advertising effectiveness by affecting consumers' attention, while emotional adaptation between media and advertising can positively adjust the effects of attention level on advertising emotional attitudes. The findings can be utilized to make recommendations about how to implement online video advertising strategies.
{"title":"Research on the Impact of Emotional Adaptation and Product Involvement on Online Video Advertising Effectiveness","authors":"Yu-Ke Shi, Wei Qi, Siqi Guan","doi":"10.1145/3572647.3572649","DOIUrl":"https://doi.org/10.1145/3572647.3572649","url":null,"abstract":"This study uses eye-movement equipment in conjunction with a questionnaire survey to conduct an empirical investigation of the various effects of emotional adaptation and product involvement on advertising effectiveness. The findings indicate that product involvement can indirectly promote users' advertising attitudes and affect advertising effectiveness by affecting consumers' attention, while emotional adaptation between media and advertising can positively adjust the effects of attention level on advertising emotional attitudes. The findings can be utilized to make recommendations about how to implement online video advertising strategies.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134499391","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}
With the rapid growth of the stock market, many researchers examined the profitability and market efficiency of various trading strategies with the idea of Momentum Investing. This study optimizes the Moving Average Convergence-Divergence (MACD) oscillator and tests its performance under different trading strategies. The research simulates the trading process of 40 U.S. industry portfolios from 1926 to 2021 using different MACD oscillators constructed by the Exponential Moving Average (EMA) indicators of different decay parameters. To acquire the optimal MACD oscillator, the study performs the OLS linear regression analysis on each industry's stimulated excess returns and excess industry portfolio returns and uses the corresponding regression coefficients (alpha and beta) as the assessment criteria of the performance. To further optimize the model, the study improves the traditional trading strategy, the simple-crossover operation, to the n-day holding strategy, which aims to weaken the influence of false signals. The result shows that MACD strategies generally have positive alpha, hinting that investor can utilize this indicator to diversify portfolios and hedge their risks.
{"title":"Momentum: A New Look on the Old World","authors":"Haoran Zhang, Zihe Tang, Luwei Sun","doi":"10.1145/3572647.3572684","DOIUrl":"https://doi.org/10.1145/3572647.3572684","url":null,"abstract":"With the rapid growth of the stock market, many researchers examined the profitability and market efficiency of various trading strategies with the idea of Momentum Investing. This study optimizes the Moving Average Convergence-Divergence (MACD) oscillator and tests its performance under different trading strategies. The research simulates the trading process of 40 U.S. industry portfolios from 1926 to 2021 using different MACD oscillators constructed by the Exponential Moving Average (EMA) indicators of different decay parameters. To acquire the optimal MACD oscillator, the study performs the OLS linear regression analysis on each industry's stimulated excess returns and excess industry portfolio returns and uses the corresponding regression coefficients (alpha and beta) as the assessment criteria of the performance. To further optimize the model, the study improves the traditional trading strategy, the simple-crossover operation, to the n-day holding strategy, which aims to weaken the influence of false signals. The result shows that MACD strategies generally have positive alpha, hinting that investor can utilize this indicator to diversify portfolios and hedge their risks.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134546135","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}
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