Pub Date : 2023-04-03DOI: 10.3991/itdaf.v1i1.32683
Jin Shang, Tamotsu Nakamura, S. Hamori
The price fluctuations in the crude oil market remarkably influence the global economy since crude oil is an essential source of energy and plays a determinant role in most industrial sectors. The tremendous development of social media has generated many applications that can be used for sentiment analysis to improve the prediction of crude oil prices. Many researchers have also used technical indicators to predict oil prices. This study integrated several machine learning approaches—random forest, support vector machine, and long short-term memory—with a dynamic expanding moving window and fixed moving window to forecast one-period-ahead West Texas Intermediate (WTI) spot prices. We assessed the forecasting performance of these models using the root mean squared error and then compared prediction accuracy among the sentiment indicator, the technical indicator, and the lagged values of WTI spot prices using the Diebold–Mariano test. The forecasting simulation and empirical results show that the sentiment indicator is preferable to the technical indicator for forecasting WTI spot prices with machine learning approaches. Interestingly, we also find that using the sentiment indicator provides a better prediction performance than using lagged values of crude oil prices.
{"title":"Does the Sentiment Index Help Predict Crude Oil Prices?","authors":"Jin Shang, Tamotsu Nakamura, S. Hamori","doi":"10.3991/itdaf.v1i1.32683","DOIUrl":"https://doi.org/10.3991/itdaf.v1i1.32683","url":null,"abstract":"The price fluctuations in the crude oil market remarkably influence the global economy since crude oil is an essential source of energy and plays a determinant role in most industrial sectors. The tremendous development of social media has generated many applications that can be used for sentiment analysis to improve the prediction of crude oil prices. Many researchers have also used technical indicators to predict oil prices. This study integrated several machine learning approaches—random forest, support vector machine, and long short-term memory—with a dynamic expanding moving window and fixed moving window to forecast one-period-ahead West Texas Intermediate (WTI) spot prices. We assessed the forecasting performance of these models using the root mean squared error and then compared prediction accuracy among the sentiment indicator, the technical indicator, and the lagged values of WTI spot prices using the Diebold–Mariano test. The forecasting simulation and empirical results show that the sentiment indicator is preferable to the technical indicator for forecasting WTI spot prices with machine learning approaches. Interestingly, we also find that using the sentiment indicator provides a better prediction performance than using lagged values of crude oil prices.","PeriodicalId":222021,"journal":{"name":"IETI Transactions on Data Analysis and Forecasting (iTDAF)","volume":"8 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134362213","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}
Pub Date : 2023-04-03DOI: 10.3991/itdaf.v1i1.38131
Y. Tang, Ziyan Wang, Yang He
Skilled people with craftsman spirit are a high-quality human resource for companies. It is described in detail in Chinese government documents and there is a growing body of local research, but very little research in the international academic arena. This study traces the origins of craftsman spirit and what it involves in research. A literature review of the connotations and dimensions of craftsman spirit is conducted to explore the empirical research methodology of craftsman spirit. In the manufacturing sector, semi-structured interviews were conducted with 11 professional leaders with the title of 'craftsman' and the data collected was analysed in Qualitative Analysis Software. The study concludes with the development of a measurement concept to motivate teachers and students to develop craftsman spirit, which is applicable to Chinese higher vocational colleges.
{"title":"An Exploratory Study on Measuring Teachers’ and Students’ Motivation for Craftsman Spirit in Higher Vocational Colleges","authors":"Y. Tang, Ziyan Wang, Yang He","doi":"10.3991/itdaf.v1i1.38131","DOIUrl":"https://doi.org/10.3991/itdaf.v1i1.38131","url":null,"abstract":"Skilled people with craftsman spirit are a high-quality human resource for companies. It is described in detail in Chinese government documents and there is a growing body of local research, but very little research in the international academic arena. This study traces the origins of craftsman spirit and what it involves in research. A literature review of the connotations and dimensions of craftsman spirit is conducted to explore the empirical research methodology of craftsman spirit. In the manufacturing sector, semi-structured interviews were conducted with 11 professional leaders with the title of 'craftsman' and the data collected was analysed in Qualitative Analysis Software. The study concludes with the development of a measurement concept to motivate teachers and students to develop craftsman spirit, which is applicable to Chinese higher vocational colleges.","PeriodicalId":222021,"journal":{"name":"IETI Transactions on Data Analysis and Forecasting (iTDAF)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124641390","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}
Pub Date : 2023-04-03DOI: 10.3991/itdaf.v1i1.33357
J. Crabbe
Drylands are zones covering over 40% of the earth’s land surface, where precipitation is balanced by evaporation from surfaces and by transpiration by plants. This short review looks at two key areas where drylands are increasing, the Sahara-Sahel-Arabian Peninsula zone, and the Qinghai-Tibet Plateau in China, and shows ways that data analysis and forecasting in both geoengineering and in genomics techniques may help in understanding and progressing climate change mitigation.
{"title":"Data Analysis and Forecasting to Mitigate Climate Change in Drylands Areas","authors":"J. Crabbe","doi":"10.3991/itdaf.v1i1.33357","DOIUrl":"https://doi.org/10.3991/itdaf.v1i1.33357","url":null,"abstract":"Drylands are zones covering over 40% of the earth’s land surface, where precipitation is balanced by evaporation from surfaces and by transpiration by plants. This short review looks at two key areas where drylands are increasing, the Sahara-Sahel-Arabian Peninsula zone, and the Qinghai-Tibet Plateau in China, and shows ways that data analysis and forecasting in both geoengineering and in genomics techniques may help in understanding and progressing climate change mitigation.","PeriodicalId":222021,"journal":{"name":"IETI Transactions on Data Analysis and Forecasting (iTDAF)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129307374","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}
Pub Date : 2023-04-03DOI: 10.3991/itdaf.v1i1.32965
Otilia Manta
The paper presents a vision for the future of Horizon 2050 and the sustainable effect of the mountain economy starting from the conceptual definition of montanology that “integrates knowledge (disciplines) in the following fields: agriculture, animal husbandry, human ecology, geo-ecology and pedology, biology, demography and ethnography, human and animal psychology, architecture, construction and building materials, elements of forestry and geology, beekeeping, fish farming, economics, organization and functioning of the mountain private household, as well as other specific systems, mountain systematization, mountain design, specific ergonomics, small industry and crafts, tourism and agrotourism, health education, nature material resources (minerals, plants and animals) and energy resources (unconventional), legislation and legal relations, other useful knowledge with mountain specifics, human resources - tradition and culture ”(R. Rey, 1985). Moreover, we intend to highlight in the paper the challenges and priorities at national and European level in the mountain economy. The results of the paper highlight the complete solution for a sustainable mountain rural development, through which farmers will be able to get fair prices for raw materials "mountain products", which would meet the real needs of mountain farmers, small and medium par excellence, to increase family income, based on renewable resources and increasing farm capitalization and investment capacity, all of which are based on strategic guidelines with practical applicability following the professional experiences of the authors of the paper. Key words: mountain economy, economic development, sustainability. JEL Classification: O18, O44, Q56.
{"title":"Sustainability Analysis of the Mountain Economy","authors":"Otilia Manta","doi":"10.3991/itdaf.v1i1.32965","DOIUrl":"https://doi.org/10.3991/itdaf.v1i1.32965","url":null,"abstract":"The paper presents a vision for the future of Horizon 2050 and the sustainable effect of the mountain economy starting from the conceptual definition of montanology that “integrates knowledge (disciplines) in the following fields: agriculture, animal husbandry, human ecology, geo-ecology and pedology, biology, demography and ethnography, human and animal psychology, architecture, construction and building materials, elements of forestry and geology, beekeeping, fish farming, economics, organization and functioning of the mountain private household, as well as other specific systems, mountain systematization, mountain design, specific ergonomics, small industry and crafts, tourism and agrotourism, health education, nature material resources (minerals, plants and animals) and energy resources (unconventional), legislation and legal relations, other useful knowledge with mountain specifics, human resources - tradition and culture ”(R. Rey, 1985). Moreover, we intend to highlight in the paper the challenges and priorities at national and European level in the mountain economy. The results of the paper highlight the complete solution for a sustainable mountain rural development, through which farmers will be able to get fair prices for raw materials \"mountain products\", which would meet the real needs of mountain farmers, small and medium par excellence, to increase family income, based on renewable resources and increasing farm capitalization and investment capacity, all of which are based on strategic guidelines with practical applicability following the professional experiences of the authors of the paper. Key words: mountain economy, economic development, sustainability. JEL Classification: O18, O44, Q56.","PeriodicalId":222021,"journal":{"name":"IETI Transactions on Data Analysis and Forecasting (iTDAF)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132240753","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：