Evaluating Market Competitiveness and Volatility in Loan Pricing via Nash Equilibrium and ARIMA Models

The study deals with the dynamics of loan pricing within the Indian financial system, using Nash Equilibrium and ARIMA models, on two-wheeler loans. The objective is to assess market competitiveness among public sector banks (PSBs), private sector banks (PvtSBs), foreign banks and non-banking financial companies (NBFCs) through interest rates, processing fees, and loan tenures. It shows how Nash Equilibrium can help in the strategic decisions of competitive environments and ARIMA as a predictive trend of loan pricing. Secondary data spanning from 2012-2024 will be utilized for the study and weighted average lending rates, comparative and descriptive statistics, and the application of forecasting models to predict the future. The findings show significant differences in the loan pricing strategies employed by financial institutions, and high market competition and imperfect economic conditions significantly impact pricing stability. This study thus contributes to the understanding of the optimal pricing strategy and its implications for borrower affordability and lender profitability.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-22
DOI
https://doi.org/10.52783/jisem.v10i38s.7129
Primary Topic
Banking stability, regulation, efficiency
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluating Market Competitiveness and Volatility in Loan Pricing via Nash Equilibrium and ARIMA Models

Ompal Singh
Journal of Information Systems Engineering & Management
Banking stability, regulation, efficiency
article

Evaluating Market Competitiveness and Volatility in Loan Pricing via Nash Equilibrium and ARIMA Models

Ompal Singh
article en

Abstract

The study deals with the dynamics of loan pricing within the Indian financial system, using Nash Equilibrium and ARIMA models, on two-wheeler loans. The objective is to assess market competitiveness among public sector banks (PSBs), private sector banks (PvtSBs), foreign banks and non-banking financial companies (NBFCs) through interest rates, processing fees, and loan tenures. It shows how Nash Equilibrium can help in the strategic decisions of competitive environments and ARIMA as a predictive trend of loan pricing. Secondary data spanning from 2012-2024 will be utilized for the study and weighted average lending rates, comparative and descriptive statistics, and the application of forecasting models to predict the future. The findings show significant differences in the loan pricing strategies employed by financial institutions, and high market competition and imperfect economic conditions significantly impact pricing stability. This study thus contributes to the understanding of the optimal pricing strategy and its implications for borrower affordability and lender profitability.

Journal of Information Systems Engineering & ManagementVol. 10(38s)
Openalex Percentile: Top 88%
Banking stability, regulation, efficiency
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