DRY BULK FREIGHT MARKET RESEARCH BASEDON CORRELATIONANDREGRESSIONANALYSIS

S. Onyshchenko, Anna Onyshchenko
{"title":"DRY BULK FREIGHT MARKET RESEARCH BASEDON CORRELATIONANDREGRESSIONANALYSIS","authors":"S. Onyshchenko, Anna Onyshchenko","doi":"10.31375/2226-1915-2022-2-5-17","DOIUrl":null,"url":null,"abstract":"Thecorrelationandregressionanalysisappliedtothefreightratesdemonstrates a fairly good results which is confirmed by the relevant estimates of the models.However, the impact of each determinant on the freight rates is not the same in the different timeperiod. Moreover, it is important to focus on the certain segment of dry bulk freight market moreaccuratelytoobtainthemathematicalmodelreflectingsegmentspecific.The study is aimed to develop the methodological basic for applying the correlation andregressionanalysistothefreightratesontheexampleofBalticPanamaxIndex.Various linear regression model structures for freight rates have been proposed,withappropriate detailing of the underlying market determinants. It has been determined that eachfreightmarketsegment is characterized a certain specificityofdemand,as wellas competitionwith other segments, these should be taken into account when building regression models. Theideas suggested have been applied to Panamax segment. The Panamax bulk carriers serve mostlythe grain, coal and ore; thus, these three types of goods are included in the model as demanddeterminants. The correlation and regression analysis were used to establish and mathematicallydraw the dependence of freight indexes on the set of the major freight market determinants ontheexampleoftheBalticPanamaxIndex.The output shows the obtained regression model can be used to predict the Baltic PanamaxIndex. Based on the forecasting of considered factors -seaborn grain trade, seaborn ore trade,seaborn coal trade, Panamax bulk carriers’ sector of merchant fleet, Panamax bulk carriersshipbuilding,Panamaxbulkcarriersscrapping,thevaluesoftheBalticPanamaxIndexforfollowingtimepointscanbeestimated.Two approaches were considered –the regression analysis for original data and forlogarithmically transformed data. Whether the first approach with the original data or the secondonewiththe logarithmically transformed data is applied,theresultsapprove theregressionanalysis use to establish the relationship between freight indexes (freight rates) and the set of themajor freightmarketdeterminants.Keywords: freight rates, Panamax bulk carriers, model, market determinants, maritimetransportation,forecast.","PeriodicalId":34268,"journal":{"name":"Rozvitok metodiv upravlinnia ta gospodariuvannia na transporti","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rozvitok metodiv upravlinnia ta gospodariuvannia na transporti","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31375/2226-1915-2022-2-5-17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Thecorrelationandregressionanalysisappliedtothefreightratesdemonstrates a fairly good results which is confirmed by the relevant estimates of the models.However, the impact of each determinant on the freight rates is not the same in the different timeperiod. Moreover, it is important to focus on the certain segment of dry bulk freight market moreaccuratelytoobtainthemathematicalmodelreflectingsegmentspecific.The study is aimed to develop the methodological basic for applying the correlation andregressionanalysistothefreightratesontheexampleofBalticPanamaxIndex.Various linear regression model structures for freight rates have been proposed,withappropriate detailing of the underlying market determinants. It has been determined that eachfreightmarketsegment is characterized a certain specificityofdemand,as wellas competitionwith other segments, these should be taken into account when building regression models. Theideas suggested have been applied to Panamax segment. The Panamax bulk carriers serve mostlythe grain, coal and ore; thus, these three types of goods are included in the model as demanddeterminants. The correlation and regression analysis were used to establish and mathematicallydraw the dependence of freight indexes on the set of the major freight market determinants ontheexampleoftheBalticPanamaxIndex.The output shows the obtained regression model can be used to predict the Baltic PanamaxIndex. Based on the forecasting of considered factors -seaborn grain trade, seaborn ore trade,seaborn coal trade, Panamax bulk carriers’ sector of merchant fleet, Panamax bulk carriersshipbuilding,Panamaxbulkcarriersscrapping,thevaluesoftheBalticPanamaxIndexforfollowingtimepointscanbeestimated.Two approaches were considered –the regression analysis for original data and forlogarithmically transformed data. Whether the first approach with the original data or the secondonewiththe logarithmically transformed data is applied,theresultsapprove theregressionanalysis use to establish the relationship between freight indexes (freight rates) and the set of themajor freightmarketdeterminants.Keywords: freight rates, Panamax bulk carriers, model, market determinants, maritimetransportation,forecast.
基于相关回归分析的干散货市场研究
将相关分析和回归分析应用于货运数据,得到了较好的结果,这一点得到了模型相关估计的证实。然而,在不同的时期,每个决定因素对运价的影响是不一样的。此外,更准确地关注干散货市场的某个细分市场,以获得反映细分市场特殊性的数学模型是很重要的。本研究旨在以波罗的海巴拿马指数为例,为将相关分析和回归分析应用于货运价格的分析提供方法学基础。已经提出了运费的各种线性回归模型结构,并适当详细说明了潜在的市场决定因素。已经确定,每个货运市场细分具有一定的需求特殊性,以及与其他细分市场的竞争,在建立回归模型时应考虑到这些。所提出的想法已应用于巴拿马型航段。巴拿马型散货船主要运输谷物、煤炭和矿石;因此,这三种类型的商品被包括在模型中作为需求决定因素。以balticpanamaxindex为例,利用相关分析和回归分析建立并数学绘制了运价指数对主要运价市场决定因素集的依赖关系。输出结果表明,所得到的回归模型可用于预测波罗的海PanamaxIndex。通过对海运粮食贸易、海运矿石贸易、海运煤炭贸易、巴拿马型散货船商船船队板块、巴拿马型散货船造船、巴拿马型散货船拆解等考虑因素的预测,估算了波罗的海巴拿马指数在后续时间点的价值。考虑了两种方法——原始数据的回归分析和对数转换数据的回归分析。无论是采用原始数据的第一种方法,还是采用对数转换数据的第二种方法,结果都证实了回归分析用于建立运费指数(运价)和主要货运市场决定因素之间的关系。关键词:运价,巴拿马型散货船,模型,市场决定因素,海运,预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
9
审稿时长
12 weeks
×
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