Pub Date : 2023-12-22DOI: 10.46281/ijfb.v13i2.2155
The study evaluates the performance of commercial banks in Guyana using prudential ratios that capture the five essential dimensions of a bank’s operation. It applies the CAMEL rating system and Linear Discriminant Analysis on quarterly prudential ratios of all the commercial banks that operated in Guyana between 2017 and 2021. The CAMEL analysis reveals that Demerara Bank Limited (DBL) is the best-performing bank, and the Guyana Bank for Trade and Industry (GBTI) is the worst-performing bank. However, the one-way ANOVA technique suggests no significant differences between the average values of the prudential ratios in the CAMEL model. Based on the Linear Discriminant Analysis, only four ratios differentiate between good-performing and poor-performing banks. These findings provide valuable insights to regulators that employ these tools to identify poor-performing banks to safeguard the stability and soundness of their domestic banking system. By applying the CAMEL rating system and Linear Discriminant Analysis simultaneously in Guyana, an emerging economy in the Caribbean, for the first time, the study contributes to the literature that utilizes these tools to assess the performance of commercial banks.
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Pub Date : 2023-12-17DOI: 10.46281/ijfb.v13i2.2148
An investor must perform research on a stock before investing in it. It becomes critical for a financially savvy investor. As a result, stock prices have long been a source of attraction. Researchers have worked hard to identify the elements influencing stock prices and returns. This paper is an attempt to identify the factors predicting the market price of Equity in India. The secondary data about 2017 to 2022 of NIFTY's Next 50 index companies is analyzed using OLS regression. The findings of the regression are ratified through a qualitative approach by the semi-structured open-ended survey and interviewing experts. The obtained responses are transcribed and coded. Matrix coding has been performed using a qualitative tool such as NVivo to understand the pattern of codes. The study finds that dividend rate, book value, and return on net worth are statistically significant and positively influence the market price of sample firms. Debt to equity ratio has a negative impact on market price. Economic value added (EVA) was found to be a new variable that significantly impacted the market price of shares. The study findings are helpful to the market participants to make wise and knowledge-based investment decisions. The study's findings will also add to the existing body of knowledge regarding stock valuation.
{"title":"EQUITY PRICE DETERMINANTS OF INDIA'S NIFTY NEXT 50 INDEX FIRMS'","authors":"","doi":"10.46281/ijfb.v13i2.2148","DOIUrl":"https://doi.org/10.46281/ijfb.v13i2.2148","url":null,"abstract":"An investor must perform research on a stock before investing in it. It becomes critical for a financially savvy investor. As a result, stock prices have long been a source of attraction. Researchers have worked hard to identify the elements influencing stock prices and returns. This paper is an attempt to identify the factors predicting the market price of Equity in India. The secondary data about 2017 to 2022 of NIFTY's Next 50 index companies is analyzed using OLS regression. The findings of the regression are ratified through a qualitative approach by the semi-structured open-ended survey and interviewing experts. The obtained responses are transcribed and coded. Matrix coding has been performed using a qualitative tool such as NVivo to understand the pattern of codes. The study finds that dividend rate, book value, and return on net worth are statistically significant and positively influence the market price of sample firms. Debt to equity ratio has a negative impact on market price. Economic value added (EVA) was found to be a new variable that significantly impacted the market price of shares. The study findings are helpful to the market participants to make wise and knowledge-based investment decisions. The study's findings will also add to the existing body of knowledge regarding stock valuation.","PeriodicalId":476108,"journal":{"name":"Indian journal of finance and banking","volume":"12 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138966160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-08DOI: 10.46281/ijfb.v13i2.2114
This research paper investigates the impacts of the Pradhan Mantri Jan Dhan Yojana (PMJDY) program on access to credit for individuals living below the poverty line in India since its inception in 2014. The PMJDY initiative aims to enhance financial inclusion and alleviate poverty by providing banking services and credit access to marginalized populations. The paper begins with a comprehensive literature review, tracing the historical context of financial inclusion in India, the evolution of policies, and previous research on the subject. It then delves into the PMJDY program's features, implementation, and progress, highlighting its efforts to offer zero-balance accounts and overdraft facilities. The paper employs regression analyses, both at the national and district levels, to examine the relationship between various factors, such as GDP per capita, population density, literacy rates, and PMJDY adoption. These analyses had shed light on the success of the PMJDY program in advancing financial inclusion throughout different regional dynamics. The findings provide insights into the program's effectiveness in improving credit access for the economically disadvantaged. Ultimately, this research contributes to the ongoing discourse on financial inclusion and informs policymakers on strategies to combat poverty and foster inclusive economic growth especially with policies relating to credit access.
本研究报告调查了Pradhan Mantri Jan Dhan Yojana (PMJDY)计划自2014年启动以来对生活在贫困线以下的个人获得信贷的影响。PMJDY倡议旨在通过向边缘化人群提供银行服务和信贷渠道，加强普惠金融，减轻贫困。本文首先进行了全面的文献综述，追溯了印度普惠金融的历史背景、政策的演变以及此前对该主题的研究。然后深入研究了PMJDY计划的特性、实现和进展，重点介绍了它在提供零余额账户和透支设施方面所做的努力。本文在国家和地区两级采用回归分析来检验各种因素之间的关系，如人均GDP、人口密度、识字率和PMJDY的采用。这些分析揭示了PMJDY项目在不同地区推进普惠金融方面取得的成功。这些发现有助于深入了解该计划在改善经济弱势群体获得信贷方面的有效性。最终，本研究有助于当前关于普惠金融的讨论，并为政策制定者提供消除贫困和促进包容性经济增长的战略，特别是与信贷获取相关的政策。
{"title":"IMPACT OF PRADHAN MANTRI JAN DHAN YOJANA PROGRAM ON ACCESS TO CREDIT","authors":"","doi":"10.46281/ijfb.v13i2.2114","DOIUrl":"https://doi.org/10.46281/ijfb.v13i2.2114","url":null,"abstract":"This research paper investigates the impacts of the Pradhan Mantri Jan Dhan Yojana (PMJDY) program on access to credit for individuals living below the poverty line in India since its inception in 2014. The PMJDY initiative aims to enhance financial inclusion and alleviate poverty by providing banking services and credit access to marginalized populations. The paper begins with a comprehensive literature review, tracing the historical context of financial inclusion in India, the evolution of policies, and previous research on the subject. It then delves into the PMJDY program's features, implementation, and progress, highlighting its efforts to offer zero-balance accounts and overdraft facilities. The paper employs regression analyses, both at the national and district levels, to examine the relationship between various factors, such as GDP per capita, population density, literacy rates, and PMJDY adoption. These analyses had shed light on the success of the PMJDY program in advancing financial inclusion throughout different regional dynamics. The findings provide insights into the program's effectiveness in improving credit access for the economically disadvantaged. Ultimately, this research contributes to the ongoing discourse on financial inclusion and informs policymakers on strategies to combat poverty and foster inclusive economic growth especially with policies relating to credit access.","PeriodicalId":476108,"journal":{"name":"Indian journal of finance and banking","volume":"30 25","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135390514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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