N. Chaity, Shahriar Bin Kabir, Parul Akhter, R. Bokhari
The fundamental human resource that influences financial well-being is financial literacy. People are more likely to save and invest if they understand the time value of money, credit, insurance, and investments. Having a sound financial understanding lessens stress and increases financial well-being. This study used a structured survey questionnaire and back-translated it into Bangla to ease readability for the respondents. Four hundred thirty-five invitations were sent mainly to the Dhaka city dwellers’ and only 253 complete responses were retained for analysis. Partial least squares structural equation modeling (PLS-SEM) is used to assess the intercorrelations and validate the measurement model among the constructs (financial attitude, behavior, knowledge, self-efficacy, technological self-efficacy, and financial well-being) using SmartPLS version 4. The result found a full mediation effect among financial behavior, financial self-efficacy, and financial well-being. Partial mediation effects are found among financial attitudes toward financial self-efficacy, technological self-efficacy, and financial well-being.
{"title":"How Financial Literacy Impacts Financial Well-Being: The Influence of Financial and Technical Efficacy","authors":"N. Chaity, Shahriar Bin Kabir, Parul Akhter, R. Bokhari","doi":"10.32479/ijefi.15806","DOIUrl":"https://doi.org/10.32479/ijefi.15806","url":null,"abstract":"The fundamental human resource that influences financial well-being is financial literacy. People are more likely to save and invest if they understand the time value of money, credit, insurance, and investments. Having a sound financial understanding lessens stress and increases financial well-being. This study used a structured survey questionnaire and back-translated it into Bangla to ease readability for the respondents. Four hundred thirty-five invitations were sent mainly to the Dhaka city dwellers’ and only 253 complete responses were retained for analysis. Partial least squares structural equation modeling (PLS-SEM) is used to assess the intercorrelations and validate the measurement model among the constructs (financial attitude, behavior, knowledge, self-efficacy, technological self-efficacy, and financial well-being) using SmartPLS version 4. The result found a full mediation effect among financial behavior, financial self-efficacy, and financial well-being. Partial mediation effects are found among financial attitudes toward financial self-efficacy, technological self-efficacy, and financial well-being.","PeriodicalId":30329,"journal":{"name":"International Journal of Economics and Financial Issues","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140390540","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}
The primary objective of the research is to understand the interactions between money supply, banking and economic growth for effective policy interventions and business decisions. Based on annual data for the time period (2004-2021), descriptive analysis, correlations, causality tests and panel data regressions are analyzed for a sample from India, Saudi Arabia and UAE to draw conclusions. The results favored the ‘intermediation theory’ and were contrary to the ‘credit creation’ theory of banking. It was observed that the GDP of a country can be efficiently explained by financial soundness, broad money, loans and deposits for a country. Also, that the GDP of a country influences banking loans and deposits but not vice versa. The monetary policy of the sample was questioned by the finding that GDP causes banking loans and banking deposits but not vice versa. This important finding will add to the effectiveness in business decision making.
{"title":"Money Supply, Banking and Economic Growth: A Cross Country Analysis","authors":"Ahmad AlHarbi, Wafa Sbeiti, Moid Ahmad","doi":"10.32479/ijefi.15749","DOIUrl":"https://doi.org/10.32479/ijefi.15749","url":null,"abstract":"The primary objective of the research is to understand the interactions between money supply, banking and economic growth for effective policy interventions and business decisions. Based on annual data for the time period (2004-2021), descriptive analysis, correlations, causality tests and panel data regressions are analyzed for a sample from India, Saudi Arabia and UAE to draw conclusions. The results favored the ‘intermediation theory’ and were contrary to the ‘credit creation’ theory of banking. It was observed that the GDP of a country can be efficiently explained by financial soundness, broad money, loans and deposits for a country. Also, that the GDP of a country influences banking loans and deposits but not vice versa. The monetary policy of the sample was questioned by the finding that GDP causes banking loans and banking deposits but not vice versa. This important finding will add to the effectiveness in business decision making.","PeriodicalId":30329,"journal":{"name":"International Journal of Economics and Financial Issues","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140390780","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}
This research paper investigates the sophisticated relationship between socio-economic indicators and sustainable economic development in Egypt, employing a Linear Regression Model to provide an accurate analysis. Focusing on key variables such as Population, Life Expectancy at Birth, and Labor Force, the study seeks to discern their impact on Gross Domestic Product (GDP). With R Square of 0.9443, the model exhibits strong explanatory power. Noteworthy coefficients include a positive relationship between Population and GDP (β = $9,302.27), a negative relationship between Life Expectancy at Birth and GDP (β = -$45.77 Bln), and a positive relationship between Labor Force and GDP (β = $10,097.49). These findings contribute subtle insights to the literature and offer policymakers valuable information for fostering sustainable economic development in Egypt.
本研究论文采用线性回归模型进行精确分析，调查埃及社会经济指标与可持续经济发展之间的复杂关系。研究重点关注人口、出生时预期寿命和劳动力等关键变量，试图找出它们对国内生产总值（GDP）的影响。该模型的 R Square 为 0.9443，显示出很强的解释能力。值得注意的系数包括人口与 GDP 之间的正相关关系（β = 9,302.27 美元）、出生预期寿命与 GDP 之间的负相关关系（β = -45.77 亿美元）以及劳动力与 GDP 之间的正相关关系（β = 10,097.49 美元）。这些研究结果为文献提供了微妙的见解，并为政策制定者提供了促进埃及经济可持续发展的宝贵信息。
{"title":"Socio-Economic Indicators and their Impact on Sustainable Economic Development: An In-depth Analysis of Egypt","authors":"M. Balbaa","doi":"10.32479/ijefi.16016","DOIUrl":"https://doi.org/10.32479/ijefi.16016","url":null,"abstract":"This research paper investigates the sophisticated relationship between socio-economic indicators and sustainable economic development in Egypt, employing a Linear Regression Model to provide an accurate analysis. Focusing on key variables such as Population, Life Expectancy at Birth, and Labor Force, the study seeks to discern their impact on Gross Domestic Product (GDP). With R Square of 0.9443, the model exhibits strong explanatory power. Noteworthy coefficients include a positive relationship between Population and GDP (β = $9,302.27), a negative relationship between Life Expectancy at Birth and GDP (β = -$45.77 Bln), and a positive relationship between Labor Force and GDP (β = $10,097.49). These findings contribute subtle insights to the literature and offer policymakers valuable information for fostering sustainable economic development in Egypt.","PeriodicalId":30329,"journal":{"name":"International Journal of Economics and Financial Issues","volume":"137 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140233898","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}
This review paper delves into the intricate interplay between capital markets, investor protection, portfolio strategies, and behavioural aspects in investments. The VOSviewer 1.6.19 software is utilised to perform a bibliometric analysis and a exhaustive systematic literature review on a sample of 248 papers published in journals in Web of Science databases. Our comprehensive analysis reveals the emergence of key themes, shedding light on the critical role of behavioural finance in shaping investment choices and outcomes. We explore how investor behaviour often deviates from traditional models of market efficiency and how these deviations impact portfolio construction and investment strategies. Our paper contributes to a deeper comprehension of the complexities that drive investment decisions and helps academics, society, investors, and regulators by providing a structured analysis of literature strands. Builds a basis for better regulation and protection of investors in the capital markets, with relevant information for future studies on investor behaviour.
这篇综述论文深入探讨了资本市场、投资者保护、投资组合策略和投资行为之间错综复杂的相互作用。本文利用 VOSviewer 1.6.19 软件对发表在 Web of Science 数据库期刊上的 248 篇论文样本进行了文献计量分析和详尽的系统性文献综述。我们的综合分析揭示了关键主题的出现，阐明了行为金融学在影响投资选择和结果方面的关键作用。我们探讨了投资者行为如何经常偏离传统的市场效率模型，以及这些偏离如何影响投资组合构建和投资策略。我们的论文有助于更深入地理解驱动投资决策的复杂性，并通过提供对各方面文献的结构化分析，为学术界、社会、投资者和监管机构提供帮助。为更好地监管和保护资本市场中的投资者奠定基础，为今后研究投资者行为提供相关信息。
{"title":"Exploring the Nexus of Capital Market and Investor Behaviour: A Systematic Literature Review","authors":"Gautam Milind Gokhale, Ankur Mittal","doi":"10.32479/ijefi.15638","DOIUrl":"https://doi.org/10.32479/ijefi.15638","url":null,"abstract":"This review paper delves into the intricate interplay between capital markets, investor protection, portfolio strategies, and behavioural aspects in investments. The VOSviewer 1.6.19 software is utilised to perform a bibliometric analysis and a exhaustive systematic literature review on a sample of 248 papers published in journals in Web of Science databases. Our comprehensive analysis reveals the emergence of key themes, shedding light on the critical role of behavioural finance in shaping investment choices and outcomes. We explore how investor behaviour often deviates from traditional models of market efficiency and how these deviations impact portfolio construction and investment strategies. Our paper contributes to a deeper comprehension of the complexities that drive investment decisions and helps academics, society, investors, and regulators by providing a structured analysis of literature strands. Builds a basis for better regulation and protection of investors in the capital markets, with relevant information for future studies on investor behaviour.","PeriodicalId":30329,"journal":{"name":"International Journal of Economics and Financial Issues","volume":"32 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140231740","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}
Marshall Wellington Blay, A. Musah, Charles Ayariga, Daniel Odei Okyere
The study examined determinants of financial literacy and stock market participation in Ghana. The study also examined the relationship between financial literacy and stock market participation among university students in Ghana. The study involved surveying 400 University of Ghana students to assess their level of financial literacy, stock market participation, and explore potential influencing factors. The study analysed data using ANOVA and multiple regression analysis. The findings of the study revealed that students exhibited limited knowledge in various financial literacy areas, including interest compounding, time value of money, inflation, money illusion, stocks, bonds, mutual funds, and investment risk diversification. Moreover, the study identified male, older, postgraduate students, and those with more working experience as comparatively more financially literate and active participants in stock market activities. Additionally, a positive relationship between financial literacy and stock market participation in Ghana was established. Other determinants of stock market participation included age, gender, course of study, and income levels. Based on these findings, it is recommended that the Ministry of Education implement significant initiatives to enhance financial literacy education among tertiary students. Furthermore, financial institutions should increase advertising efforts to promote awareness about various financial products.
{"title":"Determinants of Financial Literacy and its Effect on Stock Market Participation among University Students in Ghana","authors":"Marshall Wellington Blay, A. Musah, Charles Ayariga, Daniel Odei Okyere","doi":"10.32479/ijefi.15613","DOIUrl":"https://doi.org/10.32479/ijefi.15613","url":null,"abstract":"The study examined determinants of financial literacy and stock market participation in Ghana. The study also examined the relationship between financial literacy and stock market participation among university students in Ghana. The study involved surveying 400 University of Ghana students to assess their level of financial literacy, stock market participation, and explore potential influencing factors. The study analysed data using ANOVA and multiple regression analysis. The findings of the study revealed that students exhibited limited knowledge in various financial literacy areas, including interest compounding, time value of money, inflation, money illusion, stocks, bonds, mutual funds, and investment risk diversification. Moreover, the study identified male, older, postgraduate students, and those with more working experience as comparatively more financially literate and active participants in stock market activities. Additionally, a positive relationship between financial literacy and stock market participation in Ghana was established. Other determinants of stock market participation included age, gender, course of study, and income levels. Based on these findings, it is recommended that the Ministry of Education implement significant initiatives to enhance financial literacy education among tertiary students. Furthermore, financial institutions should increase advertising efforts to promote awareness about various financial products.","PeriodicalId":30329,"journal":{"name":"International Journal of Economics and Financial Issues","volume":"72 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140232214","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}
This study examines the role of financial development in the relationship between tourism and sectoral development in 12 ECOWAS countries over the period 2003-2020. Methodologically, it mobilized the Cross-sectional Augmented Autoregressive Distributed Lag (CS-ARDL) model developed by Chudik and Pesaran (2015), which takes cross-sectional dependence and heterogeneity into account. The results reveal that tourism hurts the development of the agricultural and industrial sectors in both the short and long term. Financial development harms the agricultural sector, while it improves the development of the industrial sector in both the short and long term. On the other hand, tourism associated with a developed financial sector improves the development of the agricultural sector and also the industrial sector. This result suggests that the contribution of tourism to sectoral development in ECOWAS countries depends on the level of financial development.
{"title":"Tourism, Financial Development and Sectoral Development in ECOWAS Countries: Empirical Evidence from the CS-ARDL Approach","authors":"Prao Yao Séraphin, Kongoza Kouassi Cyrille","doi":"10.32479/ijefi.15658","DOIUrl":"https://doi.org/10.32479/ijefi.15658","url":null,"abstract":"This study examines the role of financial development in the relationship between tourism and sectoral development in 12 ECOWAS countries over the period 2003-2020. Methodologically, it mobilized the Cross-sectional Augmented Autoregressive Distributed Lag (CS-ARDL) model developed by Chudik and Pesaran (2015), which takes cross-sectional dependence and heterogeneity into account. The results reveal that tourism hurts the development of the agricultural and industrial sectors in both the short and long term. Financial development harms the agricultural sector, while it improves the development of the industrial sector in both the short and long term. On the other hand, tourism associated with a developed financial sector improves the development of the agricultural sector and also the industrial sector. This result suggests that the contribution of tourism to sectoral development in ECOWAS countries depends on the level of financial development.","PeriodicalId":30329,"journal":{"name":"International Journal of Economics and Financial Issues","volume":"49 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140231022","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}
This study's goal is to find out how earnings informability and income smoothing affect firm value, with managerial ability as a moderating variable. A quantitative method was used, and financial statements that were listed on the Indonesia Stock Exchange served as the source of the data. The sample population comprised 255 companies within the Consumer Non-Cyclicals and Consumer Cyclicals sectors, with a 4-year study period from 2017 to 2020. In addition, a total of 154 companies were selected based on the inclusion criteria, and 616 observations were carried out. This study used data from an emerging market country, namely Indonesia, which was known as the most promising investment destination. The results showed that earnings smoothing did not affect firm value, while earnings informativeness had a significant effect. The relationship between income smoothing and firm value was unaffected by managerial skill, even though it increased the correlation between earning informativeness and firm value. In line with these findings, company leaders must choose managers with high skills in financial management. These skills can greatly influence the impact of earnings informativeness on firm value.
{"title":"The Effect of Earnings Smoothing and Earnings Informativeness on Firm Value with Managerial Ability as a Moderating Variable","authors":"Candra Sinuraya, S. Mayangsari","doi":"10.32479/ijefi.15746","DOIUrl":"https://doi.org/10.32479/ijefi.15746","url":null,"abstract":"This study's goal is to find out how earnings informability and income smoothing affect firm value, with managerial ability as a moderating variable. A quantitative method was used, and financial statements that were listed on the Indonesia Stock Exchange served as the source of the data. The sample population comprised 255 companies within the Consumer Non-Cyclicals and Consumer Cyclicals sectors, with a 4-year study period from 2017 to 2020. In addition, a total of 154 companies were selected based on the inclusion criteria, and 616 observations were carried out. This study used data from an emerging market country, namely Indonesia, which was known as the most promising investment destination. The results showed that earnings smoothing did not affect firm value, while earnings informativeness had a significant effect. The relationship between income smoothing and firm value was unaffected by managerial skill, even though it increased the correlation between earning informativeness and firm value. In line with these findings, company leaders must choose managers with high skills in financial management. These skills can greatly influence the impact of earnings informativeness on firm value.","PeriodicalId":30329,"journal":{"name":"International Journal of Economics and Financial Issues","volume":"272 35‐38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140233384","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}
This research investigates the spatial dynamics of Food, Energy, and Water (FEW) Nexus policies in Southeast Asian countries, analyzing their impact on income inequality. Utilizing spatial econometric models, the study explores intricate spatial patterns and employs spatial lag models along with a panel Granger causality test. Examining data from variables such as population, urbanization, life expectancy, GDP, HDI, CO2 Emission and energy consumption, our findings reveal significant spatial dependencies and causal relationships. The study enhances understanding of spatial dimensions in policy impacts for sustainable development, offering valuable insights for targeted FEW Nexus interventions to address income inequality in Southeast Asia.
{"title":"Exploring the Spatial Dynamics of FEW Nexus Policies and Their Impact on Income Inequality Using Spatial Econometric Models: Evidence from Southeast Asian Countries","authors":"Khambai Khamjalas","doi":"10.32479/ijefi.15789","DOIUrl":"https://doi.org/10.32479/ijefi.15789","url":null,"abstract":"This research investigates the spatial dynamics of Food, Energy, and Water (FEW) Nexus policies in Southeast Asian countries, analyzing their impact on income inequality. Utilizing spatial econometric models, the study explores intricate spatial patterns and employs spatial lag models along with a panel Granger causality test. Examining data from variables such as population, urbanization, life expectancy, GDP, HDI, CO2 Emission and energy consumption, our findings reveal significant spatial dependencies and causal relationships. The study enhances understanding of spatial dimensions in policy impacts for sustainable development, offering valuable insights for targeted FEW Nexus interventions to address income inequality in Southeast Asia.","PeriodicalId":30329,"journal":{"name":"International Journal of Economics and Financial Issues","volume":"8 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140232151","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}
The Mahalanobis distance is a statistical measure used to quantify the distance between elliptic distributions with distinct locations and shared shapes, while accounting for the variables' covariance structure. It is applicable to both estimative and predictive estimation approaches, where variations are limited to location, and it assesses the similarity or dissimilarity between data and the mean (centroid) of a multivariate distribution, within the family of multivariate elliptic distributions. It is thus useful for outlier identification. The aim of the study is to provide, for the first time, a three-dimensional visualisation of the Mahalanobis distance when the underlying framework comprises three jointly connected variables (rather than the standard two variables presented in textbooks). Data with Mahalanobis distances exceeding a predefined threshold, determined using a distribution, are considered outliers. This approach is analogous to identifying outliers for univariate distributions based on critical values derived from confidence levels. While the literature mainly discusses the Mahalanobis distance formulation for bivariate distributions, we extend the discussion to include one additional variable and provide a visualisation of the resulting Mahalanobis distance for a trivariate distribution. An empirical example is presented to illustrate a practical application of a trivariate Mahalanobis distance. Visualising outliers alongside other historical events within three-factor systems can offer valuable insights into the risk profile of the current environment and assess the probability of future extreme events.
{"title":"Visualisation of Mahalanobis Distances for Trivariate JOINT Distributions","authors":"Emily Groenewald, G. Vuuren","doi":"10.32479/ijefi.15663","DOIUrl":"https://doi.org/10.32479/ijefi.15663","url":null,"abstract":"The Mahalanobis distance is a statistical measure used to quantify the distance between elliptic distributions with distinct locations and shared shapes, while accounting for the variables' covariance structure. It is applicable to both estimative and predictive estimation approaches, where variations are limited to location, and it assesses the similarity or dissimilarity between data and the mean (centroid) of a multivariate distribution, within the family of multivariate elliptic distributions. It is thus useful for outlier identification. The aim of the study is to provide, for the first time, a three-dimensional visualisation of the Mahalanobis distance when the underlying framework comprises three jointly connected variables (rather than the standard two variables presented in textbooks). Data with Mahalanobis distances exceeding a predefined threshold, determined using a distribution, are considered outliers. This approach is analogous to identifying outliers for univariate distributions based on critical values derived from confidence levels. While the literature mainly discusses the Mahalanobis distance formulation for bivariate distributions, we extend the discussion to include one additional variable and provide a visualisation of the resulting Mahalanobis distance for a trivariate distribution. An empirical example is presented to illustrate a practical application of a trivariate Mahalanobis distance. Visualising outliers alongside other historical events within three-factor systems can offer valuable insights into the risk profile of the current environment and assess the probability of future extreme events.","PeriodicalId":30329,"journal":{"name":"International Journal of Economics and Financial Issues","volume":"231 7‐8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140233729","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}
The COVID-19 pandemic significantly affected global finances and economies, posing a risk of global GDP decline. This research examines the soundness and dynamics of Islamic banks from 2017Q1 to 2023Q1. The study focuses on eight countries selected based on the systemic importance of their Islamic banks: Saudi Arabia, UAE, Bahrain, Oman, Pakistan, Malaysia, Brunei, and Indonesia. The analysis is based on several key indicators including size, profitability, non-performing financing, and capital adequacy. Our analysis shows that the Islamic banks' response to the pandemic is not uniform across jurisdictions. Saudi Arabia and Southeast Asian countries (Malaysia and Indonesia) are expected to remain stable. This reflects the Islamic banks' desire to integrate more closely into the global financial system by holding higher capital adequacy ratios. Effective banking regulation is necessary to ensure the stability and credibility of the financial industry. Other regions may face challenges that require additional policies to ensure the stability of their Islamic banking sectors. Several financial soundness indicators and jurisdictions have shown notable improvements, with some levels reaching pre-pandemic levels. This reflects the effectiveness of the COVID-19 policy support measures implemented since 2020.
{"title":"Banking Regulation and Financial Soundness Nexus in View of the Crisis: An Islamic Banking Perspective","authors":"Yomna Daoud, A. Kammoun","doi":"10.32479/ijefi.15760","DOIUrl":"https://doi.org/10.32479/ijefi.15760","url":null,"abstract":"The COVID-19 pandemic significantly affected global finances and economies, posing a risk of global GDP decline. This research examines the soundness and dynamics of Islamic banks from 2017Q1 to 2023Q1. The study focuses on eight countries selected based on the systemic importance of their Islamic banks: Saudi Arabia, UAE, Bahrain, Oman, Pakistan, Malaysia, Brunei, and Indonesia. The analysis is based on several key indicators including size, profitability, non-performing financing, and capital adequacy. Our analysis shows that the Islamic banks' response to the pandemic is not uniform across jurisdictions. Saudi Arabia and Southeast Asian countries (Malaysia and Indonesia) are expected to remain stable. This reflects the Islamic banks' desire to integrate more closely into the global financial system by holding higher capital adequacy ratios. Effective banking regulation is necessary to ensure the stability and credibility of the financial industry. Other regions may face challenges that require additional policies to ensure the stability of their Islamic banking sectors. Several financial soundness indicators and jurisdictions have shown notable improvements, with some levels reaching pre-pandemic levels. This reflects the effectiveness of the COVID-19 policy support measures implemented since 2020.","PeriodicalId":30329,"journal":{"name":"International Journal of Economics and Financial Issues","volume":"12 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140231938","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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