Optimizing Balance Sheet for Banks in India Using Goal Programming

Tanwar, Jyoti; Vaish, Arun Kumar; Rao, Narendar V.

doi:10.46281/ijafr.v6i2.1082

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…This model considered the most important considerations regarding the institution's finances, the law, and bank policy. An Indian bank's assets and liabilities were optimized through goal programming by Tanwar et al (2021), and the results revealed that goal programming might help optimize and boost profitability. In addition, Garcia et al (2010) proposed several goal programming methods for determining the weights of business performance measures by employing constrained regression.…”

Section: Pakistan Journal Of Statistics and Operation Researchmentioning

confidence: 99%

Optimal Financial Resource Allocation Using Multiobjective Decision Making Model

Alam

2023

Pak.j.stat.oper.res.

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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.

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Section: Pakistan Journal Of Statistics and Operation Researchmentioning

confidence: 99%

Optimal Financial Resource Allocation Using Multiobjective Decision Making Model

Alam

2023

Pak.j.stat.oper.res.

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“…Fiedler et al (2002) described that due to advancement in software, earnings and value could be supported by a single, integrated, and analytical framework to determine earnings sensitivity and future market valuation across dynamically modeled balance sheets. Tanwar et al (2021 used a goal programming model to optimize the asset and liabilities of the banks while compiling the various constraints.…”

Section: Literature Review On Asset Liability Management In Bankingmentioning

confidence: 99%

Comparative Analysis of Employees’ Perspective on Asset-Liability Management in Banks

2022

IJFB

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Asset-Liability Management is critical for the successful working of banks. The Indian Financial system is very dynamic and growing rapidly. Banks focus on both the assets and liabilities due to liquidity risk, interest rate risk and foreign exchange risk. The implementation and understanding of ALM policies, and procedures will provide insight into the approach of banks towards ALM. A primary survey is conducted among employees of twelve public and twelve private banks to collect data related to employees' experience, understanding, and knowledge about the ALM. The questionnaire used in the study carries Yes/No type questions, multiple-choice questions, checklist questions, scaled questions. The data is analyzed using SPSS. The results suggest that public and private banks' employees have a similar understanding and knowledge of the ALM. Both types of banks follow identical practices and policies in the implementation of ALM with few deviations. The employees of the banks were hesitant to answer complex questions, and therefore questionnaire has to be kept generic and straightforward. This paper studies ALM in banks using primary data. All other studies have been conducted using secondary data or literature surveys. These studies did not feature the banks' approach in ALM policies, practices, and procedures.

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Lexicographic Goal Programming Model for Bank’s Performance Management

AlArjani

Alam

2021

Journal of Applied Mathematics

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Any bank’s financial management is essential to preparing the assets and liabilities for multiple goals. In this paper, we develop an optimal bank model for the financial management department in the Kingdom of Saudi Arabia. The lexicographic goal programming model was used to formulate the banks’ performance management. In this study, the six goals of one of the leading banks in Saudi Arabia, namely, maximize asset, minimize liability, maximize equity, maximize operating income, maximize net income, and maximizing total goal achievements in the financial statement, were studied. To illustrate the model, we have focused on Al Rajhi Bank’s financial statements as a case study. The data was obtained from the banks’ financial statements. The outcomes of the study exhibited that all goals were accomplished. This proposed model is dynamic because it will help examine the banks’ financial strengths located in the kingdom. As a result, the proposed model can guide banking firms in making decisions and developing strategies to deal with numerous monetary circumstances.

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Optimizing Balance Sheet for Banks in India Using Goal Programming

Cited by 3 publications

References 20 publications

Optimal Financial Resource Allocation Using Multiobjective Decision Making Model

Optimal Financial Resource Allocation Using Multiobjective Decision Making Model

Comparative Analysis of Employees’ Perspective on Asset-Liability Management in Banks

Lexicographic Goal Programming Model for Bank’s Performance Management

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