Optimal Financial Resource Allocation Using Multiobjective Decision Making Model

IF 1.1 Q3 STATISTICS & PROBABILITY Pakistan Journal of Statistics and Operation Research Pub Date : 2023-06-02 DOI:10.18187/pjsor.v19i2.4201
Teg Alam
{"title":"Optimal Financial Resource Allocation Using Multiobjective Decision Making Model","authors":"Teg Alam","doi":"10.18187/pjsor.v19i2.4201","DOIUrl":null,"url":null,"abstract":"The management of each industry must strive to meet multiple financial objectives, including capital structure, dividend policy, and earnings growth. The paper proposes an approach to analyze how financial resources should be allocated optimally using a multi-objective decision-making model. As part of the study, Al Rajhi banks' financial statements are used as a case study. All of the data is drawn from the banks' financial statements. Overall, the study's results show that all objectives have been achieved. This model enables banking and other industries to formulate strategies for dealing with various financial situations. The study's results are calculated and verified using LINGO 18.0 x64 software. Hence, the proposed model can determine financial decisions and develop strategies for dealing with various economic frameworks.","PeriodicalId":19973,"journal":{"name":"Pakistan Journal of Statistics and Operation Research","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pakistan Journal of Statistics and Operation Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18187/pjsor.v19i2.4201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0

Abstract

The management of each industry must strive to meet multiple financial objectives, including capital structure, dividend policy, and earnings growth. The paper proposes an approach to analyze how financial resources should be allocated optimally using a multi-objective decision-making model. As part of the study, Al Rajhi banks' financial statements are used as a case study. All of the data is drawn from the banks' financial statements. Overall, the study's results show that all objectives have been achieved. This model enables banking and other industries to formulate strategies for dealing with various financial situations. The study's results are calculated and verified using LINGO 18.0 x64 software. Hence, the proposed model can determine financial decisions and develop strategies for dealing with various economic frameworks.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于多目标决策模型的财政资源优化配置
每个行业的管理层都必须努力实现多个财务目标,包括资本结构、股息政策和盈利增长。本文提出了一种使用多目标决策模型来分析财政资源应如何优化分配的方法。作为研究的一部分,Al Rajhi银行的财务报表被用作案例研究。所有数据都来自银行的财务报表。总体而言,研究结果表明,所有目标都已实现。这种模式使银行业和其他行业能够制定应对各种金融状况的策略。使用LINGO 18.0 x64软件对研究结果进行了计算和验证。因此,所提出的模型可以确定财务决策,并制定应对各种经济框架的战略。
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 去求助
来源期刊
CiteScore
3.30
自引率
26.70%
发文量
53
期刊介绍: Pakistan Journal of Statistics and Operation Research. PJSOR is a peer-reviewed journal, published four times a year. PJSOR publishes refereed research articles and studies that describe the latest research and developments in the area of statistics, operation research and actuarial statistics.
期刊最新文献
Characterizations of the Recently Introduced Discrete Distributions A New Family of Heavy-Tailed Generalized Topp-Leone-G Distributions with Application A new class of probability distributions with an application in engineering science Approximations to the Moments of Order Statistics for Normal Distribution Approximation Methods for the Bivariate Compound Truncated Poisson Gamma Distribution
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1