预测散装船舶订单的经济学方法——牛顿引力定律的应用

IF 2 Q3 BUSINESS
Q. Sakalayen, O. Duru, Enna Hirata
{"title":"预测散装船舶订单的经济学方法——牛顿引力定律的应用","authors":"Q. Sakalayen, O. Duru, Enna Hirata","doi":"10.1108/mabr-03-2020-0019","DOIUrl":null,"url":null,"abstract":"\nPurpose\nBulk shipping mostly facilitates the smooth flow of raw materials around the globe. Regardless, forecasting a bulk shipbuilding orderbook is a seldom researched domain in the academic arena. This study aims to pioneer an econophysics approach coupled with an autoregressive data analysis technique for bulk shipbuilding order forecasting.\n\n\nDesign/methodology/approach\nBy offering an innovative forecasting method, this study provides a comprehensive but straightforward econophysics approach to forecast new shipbuilding order of bulk carrier. The model has been evaluated through autoregressive integrated moving average analysis, and the outcome indicates a relatively stable good fit.\n\n\nFindings\nThe outcomes of the econophysics model indicate a relatively stable good fit. Although relevant maritime data and its quality need to be improved, the flexibility in refining the predictive variables ensure the robustness of this econophysics-based forecasting model.\n\n\nOriginality/value\nBy offering an innovative forecasting method, this study provides a comprehensive but straightforward econophysics approach to forecast new shipbuilding order of bulk carrier. The research result helps shipping investors make decision in a capital-intensive and uncertainty-prone environment.\n","PeriodicalId":43865,"journal":{"name":"Maritime Business Review","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An econophysics approach to forecast bulk shipbuilding orderbook: an application of Newton’s law of gravitation\",\"authors\":\"Q. Sakalayen, O. Duru, Enna Hirata\",\"doi\":\"10.1108/mabr-03-2020-0019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nBulk shipping mostly facilitates the smooth flow of raw materials around the globe. Regardless, forecasting a bulk shipbuilding orderbook is a seldom researched domain in the academic arena. This study aims to pioneer an econophysics approach coupled with an autoregressive data analysis technique for bulk shipbuilding order forecasting.\\n\\n\\nDesign/methodology/approach\\nBy offering an innovative forecasting method, this study provides a comprehensive but straightforward econophysics approach to forecast new shipbuilding order of bulk carrier. The model has been evaluated through autoregressive integrated moving average analysis, and the outcome indicates a relatively stable good fit.\\n\\n\\nFindings\\nThe outcomes of the econophysics model indicate a relatively stable good fit. Although relevant maritime data and its quality need to be improved, the flexibility in refining the predictive variables ensure the robustness of this econophysics-based forecasting model.\\n\\n\\nOriginality/value\\nBy offering an innovative forecasting method, this study provides a comprehensive but straightforward econophysics approach to forecast new shipbuilding order of bulk carrier. The research result helps shipping investors make decision in a capital-intensive and uncertainty-prone environment.\\n\",\"PeriodicalId\":43865,\"journal\":{\"name\":\"Maritime Business Review\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2020-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Maritime Business Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/mabr-03-2020-0019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Maritime Business Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/mabr-03-2020-0019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 3

摘要

目的散装运输主要促进原材料在全球的顺利流动。无论如何,预测散装造船订单是学术界很少研究的领域。本研究旨在开创一种经济物理学方法与自回归数据分析技术相结合的散装造船订单预测方法。设计/方法论/方法通过提供一种创新的预测方法,本研究为预测散货船新造船订单提供了一种全面而直接的经济学方法。通过自回归积分移动平均分析对该模型进行了评价,结果表明该模型具有相对稳定的良好拟合性。发现经济物理学模型的结果显示出相对稳定的良好拟合。尽管相关海事数据及其质量需要改进,但提炼预测变量的灵活性确保了这种基于经济物理学的预测模型的稳健性。独创性/价值通过提供一种创新的预测方法,本研究为预测散货船新造船订单提供了一种全面而直接的经济学方法。该研究结果有助于航运投资者在资本密集和不确定性倾向的环境中做出决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An econophysics approach to forecast bulk shipbuilding orderbook: an application of Newton’s law of gravitation
Purpose Bulk shipping mostly facilitates the smooth flow of raw materials around the globe. Regardless, forecasting a bulk shipbuilding orderbook is a seldom researched domain in the academic arena. This study aims to pioneer an econophysics approach coupled with an autoregressive data analysis technique for bulk shipbuilding order forecasting. Design/methodology/approach By offering an innovative forecasting method, this study provides a comprehensive but straightforward econophysics approach to forecast new shipbuilding order of bulk carrier. The model has been evaluated through autoregressive integrated moving average analysis, and the outcome indicates a relatively stable good fit. Findings The outcomes of the econophysics model indicate a relatively stable good fit. Although relevant maritime data and its quality need to be improved, the flexibility in refining the predictive variables ensure the robustness of this econophysics-based forecasting model. Originality/value By offering an innovative forecasting method, this study provides a comprehensive but straightforward econophysics approach to forecast new shipbuilding order of bulk carrier. The research result helps shipping investors make decision in a capital-intensive and uncertainty-prone environment.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.80
自引率
0.00%
发文量
19
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信