This study investigates how a company’s internal control team affects their investment decision making, considering the level of industry competition within the South Korean capital market. A model obtained from the literature was employed to test the hypothesis. When industry competition is low, the quantitative adequacy of internal control staff increases the likelihood of investment when the risk of underinvestment is high, and it decreases the likelihood of investment when the risk of overinvestment is high. However, this is not the case when industry competition is fierce. Qualitative adequacy of internal control staff—expertise—has a significant effect on investment decision making when industry competition is high, but has no significant effect when industry competition is low. These results suggest that investors should consider the quantitative and qualitative adequacy of internal control staff along with the level of industry competition when evaluating the investment efficiency of a company.
{"title":"The Differential Effects of Internal Control Teams on Investment Decision Making Based on Industry Competition","authors":"Hyunjung Choi","doi":"10.3390/ijfs11040131","DOIUrl":"https://doi.org/10.3390/ijfs11040131","url":null,"abstract":"This study investigates how a company’s internal control team affects their investment decision making, considering the level of industry competition within the South Korean capital market. A model obtained from the literature was employed to test the hypothesis. When industry competition is low, the quantitative adequacy of internal control staff increases the likelihood of investment when the risk of underinvestment is high, and it decreases the likelihood of investment when the risk of overinvestment is high. However, this is not the case when industry competition is fierce. Qualitative adequacy of internal control staff—expertise—has a significant effect on investment decision making when industry competition is high, but has no significant effect when industry competition is low. These results suggest that investors should consider the quantitative and qualitative adequacy of internal control staff along with the level of industry competition when evaluating the investment efficiency of a company.","PeriodicalId":45794,"journal":{"name":"International Journal of Financial Studies","volume":"11 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135873782","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}
Financial market data are abundant with outliers, and the search for an appropriate extreme value theory (EVT) approach to apply is an endless debate in the statistics of extremes research. This paper uses EVT methods to model the five-year daily all-share total return index (ALSTRI) and the daily United States dollar (USD) against the South African rand (ZAR) exchange rate of the Johannesburg stock exchange (JSE). The study compares the block maxima approach and the peaks-over-threshold (POT) approach in terms of their ability to model financial market data. The 100-year return levels for the block maxima approach were found to be almost equal to the maximum observations of the financial markets of 10,860 and R18.99 for the ALSTRI and the USD–ZAR, respectively. For the peaks-over-threshold (POT) approach, the results show that the ALSTRI and the USD–ZAR exchange rate will surpass 17,501.63 and R23.72, respectively, at least once in 100 years. The findings in this study reveal a clear distinction between block maxima and POT return level estimates. The POT approach return level estimates were comparably higher than the block maxima estimates. The study further revealed that the blended generalised extreme value (bGEVD) is more suitable for relatively short-term forecasting, since it cuts off at the 50-year return level. Therefore, this study will add value to the literature and knowledge of statistics and econometrics. In the future, more studies on bGEVD, vine copulas, and the r-largest-order bGEVD can be conducted in the financial markets.
{"title":"Extreme Value Theory Modelling of the Behaviour of Johannesburg Stock Exchange Financial Market Data","authors":"Maashele Kholofelo Metwane, Daniel Maposa","doi":"10.3390/ijfs11040130","DOIUrl":"https://doi.org/10.3390/ijfs11040130","url":null,"abstract":"Financial market data are abundant with outliers, and the search for an appropriate extreme value theory (EVT) approach to apply is an endless debate in the statistics of extremes research. This paper uses EVT methods to model the five-year daily all-share total return index (ALSTRI) and the daily United States dollar (USD) against the South African rand (ZAR) exchange rate of the Johannesburg stock exchange (JSE). The study compares the block maxima approach and the peaks-over-threshold (POT) approach in terms of their ability to model financial market data. The 100-year return levels for the block maxima approach were found to be almost equal to the maximum observations of the financial markets of 10,860 and R18.99 for the ALSTRI and the USD–ZAR, respectively. For the peaks-over-threshold (POT) approach, the results show that the ALSTRI and the USD–ZAR exchange rate will surpass 17,501.63 and R23.72, respectively, at least once in 100 years. The findings in this study reveal a clear distinction between block maxima and POT return level estimates. The POT approach return level estimates were comparably higher than the block maxima estimates. The study further revealed that the blended generalised extreme value (bGEVD) is more suitable for relatively short-term forecasting, since it cuts off at the 50-year return level. Therefore, this study will add value to the literature and knowledge of statistics and econometrics. In the future, more studies on bGEVD, vine copulas, and the r-largest-order bGEVD can be conducted in the financial markets.","PeriodicalId":45794,"journal":{"name":"International Journal of Financial Studies","volume":"33 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135868068","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 Pakistani banking sectors facing numerous challenges because of poor internal audit quality. Internal audit quality has long been a source of contention. The current study examines the factors that affect internal audit quality in Pakistani commercial banks. Internal audit quality evaluated through potential factors such as competence, objectivity, performance, board audit committee support, and independence. Along with these factors, a questionnaire designed to determine the nature of the problems confronting Pakistani commercial banks. 102 questionnaires disseminated among the chief internal auditor, chief financial officer, board audit committee, and managers of 26 listed commercial banks. The impact of the factors on internal audit quality investigated using a binary logit regression model and multiple correspondence analyses. Findings show that performance, competence, and objectivity factors are statistically positively significant that influenced internal audit quality to improve it. This research helps improve the internal audit quality in Pakistani commercial banks.
{"title":"Evaluation of Factors Contributing to the Effectiveness of Internal Audit Quality in Pakistani Commercial Banks","authors":"Madiha Afzal","doi":"10.3390/ijfs11040129","DOIUrl":"https://doi.org/10.3390/ijfs11040129","url":null,"abstract":"The Pakistani banking sectors facing numerous challenges because of poor internal audit quality. Internal audit quality has long been a source of contention. The current study examines the factors that affect internal audit quality in Pakistani commercial banks. Internal audit quality evaluated through potential factors such as competence, objectivity, performance, board audit committee support, and independence. Along with these factors, a questionnaire designed to determine the nature of the problems confronting Pakistani commercial banks. 102 questionnaires disseminated among the chief internal auditor, chief financial officer, board audit committee, and managers of 26 listed commercial banks. The impact of the factors on internal audit quality investigated using a binary logit regression model and multiple correspondence analyses. Findings show that performance, competence, and objectivity factors are statistically positively significant that influenced internal audit quality to improve it. This research helps improve the internal audit quality in Pakistani commercial banks.","PeriodicalId":45794,"journal":{"name":"International Journal of Financial Studies","volume":"10 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135973033","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}
Ayodeji Michael Obadire, Vusani Moyo, Ntungufhadzeni Freddy Munzhelele
Financial institutions, particularly banks, have long grappled with the dilemma of structuring their capital optimally. This process, commonly referred to as capital structure decision-making, is of paramount importance, especially within the financial services sector, where strict regulations are imposed by reserve and central banks in alignment with global Basel guidelines. This study unveils the key factors that determine the capital structure choices of African banks, using panel data encompassing 45 listed banks across six nations that had embraced the Basel III Accord spanning the years 2010 to 2019. The study used the system-generalised moment methods (sys-GMM) estimator to fit the formulated panel data regression model. The study findings showed positive associations between ZSCORE, an indicator of bank financial stability, and net interest margin ratio (NIMR) with bank leverage (TCTE). In addition, the results revealed positive correlations between earnings volatility (EV), profitability (P), and risk (R) with bank leverage (TDCE). This suggests that profitable banks are inclined to favour debt financing, a phenomenon driven by their ability to comfortably service debt obligations with free cash flows. This study’s overarching conclusion underscores the dominant influence of the Liquidity Coverage Ratio (LCR) on African bank capital structures. Whether assessing traditional or Basel III-prescribed measures of bank leverage, LCR consistently emerged as the primary determinant. This finding is of significant relevance to bank executives and regulators, offering them essential insights for informed decision-making by considering striking a balance between equity and debt financing based on financial stability, profitability, and risk profiles.
{"title":"An Empirical Analysis of the Dynamics Influencing Bank Capital Structure in Africa","authors":"Ayodeji Michael Obadire, Vusani Moyo, Ntungufhadzeni Freddy Munzhelele","doi":"10.3390/ijfs11040127","DOIUrl":"https://doi.org/10.3390/ijfs11040127","url":null,"abstract":"Financial institutions, particularly banks, have long grappled with the dilemma of structuring their capital optimally. This process, commonly referred to as capital structure decision-making, is of paramount importance, especially within the financial services sector, where strict regulations are imposed by reserve and central banks in alignment with global Basel guidelines. This study unveils the key factors that determine the capital structure choices of African banks, using panel data encompassing 45 listed banks across six nations that had embraced the Basel III Accord spanning the years 2010 to 2019. The study used the system-generalised moment methods (sys-GMM) estimator to fit the formulated panel data regression model. The study findings showed positive associations between ZSCORE, an indicator of bank financial stability, and net interest margin ratio (NIMR) with bank leverage (TCTE). In addition, the results revealed positive correlations between earnings volatility (EV), profitability (P), and risk (R) with bank leverage (TDCE). This suggests that profitable banks are inclined to favour debt financing, a phenomenon driven by their ability to comfortably service debt obligations with free cash flows. This study’s overarching conclusion underscores the dominant influence of the Liquidity Coverage Ratio (LCR) on African bank capital structures. Whether assessing traditional or Basel III-prescribed measures of bank leverage, LCR consistently emerged as the primary determinant. This finding is of significant relevance to bank executives and regulators, offering them essential insights for informed decision-making by considering striking a balance between equity and debt financing based on financial stability, profitability, and risk profiles.","PeriodicalId":45794,"journal":{"name":"International Journal of Financial Studies","volume":"57 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135221998","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}
Research proposes that economic policy uncertainty (EPU) leads to exchange rate fluctuations. Given that African countries experience higher levels of uncertainty in developed/emerging markets, we examine the extent to which domestic and foreign EPU affect exchange rates for a panel of 12 ECOWAS countries covering the period 1996–2018. In order to account for non-stationarity, cross-sectional dependence, and heterogeneity, the paper employs the dynamic heterogeneous panel approach. The ECOWAS has a dual currency arrangement ranging from a common currency union (CFA) to floating exchange rates (Non-CFA). To account for this, this study splits the sample data into CFA and Non-CFA areas. In addition, this study considers the role of the global financial crisis in the exchange rate-EPU nexus. Our results show that domestic EPU has a positive effect on exchange rates in the long run for Non-CFA areas. Different from the existing literature, our results suggest that domestic EPU does not explain exchange rate fluctuations in the short run. For all countries, foreign EPU leads to appreciation in the long run and depreciation in the short run. Interestingly, foreign EPU has a more dominant effect on exchange rate fluctuations in the selected countries than domestic EPU. This may reflect the weak institutional framework in these countries, which allows external fluctuations to have a greater impact. Moreover, this could be attributed to the increase in foreign capital flows during the sample period. Thus, these countries must develop effective policies to effectively absorb these external shocks. Results are robust to different proxies of EPU.
{"title":"Does Economic Policy Uncertainty Explain Exchange Rate Movements in the Economic Community of West African States (ECOWAS): A Panel ARDL Approach","authors":"Maud Korley, Evangelos Giouvris","doi":"10.3390/ijfs11040128","DOIUrl":"https://doi.org/10.3390/ijfs11040128","url":null,"abstract":"Research proposes that economic policy uncertainty (EPU) leads to exchange rate fluctuations. Given that African countries experience higher levels of uncertainty in developed/emerging markets, we examine the extent to which domestic and foreign EPU affect exchange rates for a panel of 12 ECOWAS countries covering the period 1996–2018. In order to account for non-stationarity, cross-sectional dependence, and heterogeneity, the paper employs the dynamic heterogeneous panel approach. The ECOWAS has a dual currency arrangement ranging from a common currency union (CFA) to floating exchange rates (Non-CFA). To account for this, this study splits the sample data into CFA and Non-CFA areas. In addition, this study considers the role of the global financial crisis in the exchange rate-EPU nexus. Our results show that domestic EPU has a positive effect on exchange rates in the long run for Non-CFA areas. Different from the existing literature, our results suggest that domestic EPU does not explain exchange rate fluctuations in the short run. For all countries, foreign EPU leads to appreciation in the long run and depreciation in the short run. Interestingly, foreign EPU has a more dominant effect on exchange rate fluctuations in the selected countries than domestic EPU. This may reflect the weak institutional framework in these countries, which allows external fluctuations to have a greater impact. Moreover, this could be attributed to the increase in foreign capital flows during the sample period. Thus, these countries must develop effective policies to effectively absorb these external shocks. Results are robust to different proxies of EPU.","PeriodicalId":45794,"journal":{"name":"International Journal of Financial Studies","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135271400","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 paper examines the determinants of bond issuance in the Chinese market and the influence of capital structure—in particular direct debt finance—on firm performance and the cost of debt. The results reveal that institutional factors in the Chinese market, in particular the involvement of the financial authority permission process during bond issuance, enhance the credibility of firms that are able to successfully issue bonds. Empirical analysis of Chinese listed manufacturing firms over the period from 2010 to 2021 demonstrates that firms with higher outstanding levels of bonds perform better and face lower costs of both bond and nonbond direct finance. We interpret this as bond issuance approval serving as a signal to markets of an implicit government guarantee on firms that are approved to issue bonds. The agency problem is analyzed using propensity-score matching and Logit analysis, revealing a trade-off between the principal–agent conflict and conflicts of interest among different shareholders when power is very concentrated through CEO duality: the CEO simultaneously serves as the chairman of the board. In large firms, as measured by total assets, the cost-reducing effect of the principal–agent problem being mitigated by CEO duality outweighs the agency costs arising from conflicts of interest between large and small shareholders, leading to an increased likelihood of successful bond issuance. However, in large firms, as measured by market capitalization, where share ownership is likely more diversified, this effect diminishes. In conclusion, this paper posits that policymakers ought to investigate strategies for granting preferential treatment to high-growth, small to mid-sized enterprises, enabling them to secure funding through direct debt financing.
{"title":"Bond Issuance as Reputational Signal: Debunking the Negative Perception of Additional Liability","authors":"Dachen Sheng, Heather A. Montgomery","doi":"10.3390/ijfs11040126","DOIUrl":"https://doi.org/10.3390/ijfs11040126","url":null,"abstract":"This paper examines the determinants of bond issuance in the Chinese market and the influence of capital structure—in particular direct debt finance—on firm performance and the cost of debt. The results reveal that institutional factors in the Chinese market, in particular the involvement of the financial authority permission process during bond issuance, enhance the credibility of firms that are able to successfully issue bonds. Empirical analysis of Chinese listed manufacturing firms over the period from 2010 to 2021 demonstrates that firms with higher outstanding levels of bonds perform better and face lower costs of both bond and nonbond direct finance. We interpret this as bond issuance approval serving as a signal to markets of an implicit government guarantee on firms that are approved to issue bonds. The agency problem is analyzed using propensity-score matching and Logit analysis, revealing a trade-off between the principal–agent conflict and conflicts of interest among different shareholders when power is very concentrated through CEO duality: the CEO simultaneously serves as the chairman of the board. In large firms, as measured by total assets, the cost-reducing effect of the principal–agent problem being mitigated by CEO duality outweighs the agency costs arising from conflicts of interest between large and small shareholders, leading to an increased likelihood of successful bond issuance. However, in large firms, as measured by market capitalization, where share ownership is likely more diversified, this effect diminishes. In conclusion, this paper posits that policymakers ought to investigate strategies for granting preferential treatment to high-growth, small to mid-sized enterprises, enabling them to secure funding through direct debt financing.","PeriodicalId":45794,"journal":{"name":"International Journal of Financial Studies","volume":"27 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136022651","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}
Portfolio optimization is a mathematical formulation whose objective is to maximize returns while minimizing risks. A great deal of improvement in portfolio optimization models has been made, including the addition of practical constraints. As the number of shares traded grows, the problem becomes dimensionally very large. In this paper, we propose the usage of modified biogeography-based optimization to solve the large-scale constrained portfolio optimization. The results indicate the effectiveness of the method used.
{"title":"Large-Scale Portfolio Optimization Using Biogeography-Based Optimization","authors":"Wendy Wijaya, Kuntjoro Adji Sidarto","doi":"10.3390/ijfs11040125","DOIUrl":"https://doi.org/10.3390/ijfs11040125","url":null,"abstract":"Portfolio optimization is a mathematical formulation whose objective is to maximize returns while minimizing risks. A great deal of improvement in portfolio optimization models has been made, including the addition of practical constraints. As the number of shares traded grows, the problem becomes dimensionally very large. In this paper, we propose the usage of modified biogeography-based optimization to solve the large-scale constrained portfolio optimization. The results indicate the effectiveness of the method used.","PeriodicalId":45794,"journal":{"name":"International Journal of Financial Studies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134905692","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}
Digital credit has gained much attention from academic researchers, practitioners, and policymakers worldwide. This study empirically evaluates the determinants of digital credit using cross-country data from 2013 to 2019. The conventional ordinary least square regression with fixed effects estimator is used to investigate the factors affecting the growth of digital credit. Our study highlights that the regulatory frameworks of anti-money laundering and terrorist financing, the economy’s innovative capacity, and financial development are significant factors affecting the development of digital credit, especially fintech credit. However, the findings indicate that only the innovation capacity is more critical to the expansion of bigtech credit. Nonetheless, our results provide some important implications for market participants and the authorities in promoting digital credit. Accordingly, this study contributes to the literature on the growth of digital credit when considering the critical roles of money laundering and terrorist financing frameworks and innovation capacity.
{"title":"Digital Credit and Its Determinants: A Global Perspective","authors":"Tu D. Q. Le, Thanh Ngo, Dat T. Nguyen","doi":"10.3390/ijfs11040124","DOIUrl":"https://doi.org/10.3390/ijfs11040124","url":null,"abstract":"Digital credit has gained much attention from academic researchers, practitioners, and policymakers worldwide. This study empirically evaluates the determinants of digital credit using cross-country data from 2013 to 2019. The conventional ordinary least square regression with fixed effects estimator is used to investigate the factors affecting the growth of digital credit. Our study highlights that the regulatory frameworks of anti-money laundering and terrorist financing, the economy’s innovative capacity, and financial development are significant factors affecting the development of digital credit, especially fintech credit. However, the findings indicate that only the innovation capacity is more critical to the expansion of bigtech credit. Nonetheless, our results provide some important implications for market participants and the authorities in promoting digital credit. Accordingly, this study contributes to the literature on the growth of digital credit when considering the critical roles of money laundering and terrorist financing frameworks and innovation capacity.","PeriodicalId":45794,"journal":{"name":"International Journal of Financial Studies","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113497","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}
Abdelkebir Sahid, Yassine Maleh, Shahram Atashi Asemanjerdi, Pedro Antonio Martín-Cervantes
Bibliometric analysis is crucial in understanding the evolution of research trends and knowledge in various fields. This study applies bibliometric analysis to explore the growth of the research paradigm on agility in the FinTech literature, using co-citation analysis and bibliographic coupling of selected articles. Based on this bibliometric analysis, the evolution of research on agility in the FinTech domain has been prepared, focusing on the literature related to FinTech agility between 1984 and 2022. In this study, we also address the limitations of individual analyses from Scopus and Web of Science (WOS) and propose a comprehensive approach by merging the two research databases. The results reveal significant disparities between authors, publication influences, and keyword occurrences between the WOS and merged databases. Our research highlights the importance of combining a database approach in bibliometric studies, providing valuable insights for scholars, researchers, and stakeholders. Finally, the in-depth bibliometric analysis demonstrates the significance of “FinTech agility” in the rapidly evolving FinTech sector. Financial technology companies’ agility, or ability to adapt quickly, is the foundation of their success and innovation.
文献计量学分析对于理解各个领域的研究趋势和知识的演变至关重要。本研究采用文献计量分析，利用共引分析和选定文章的书目耦合，探索金融科技文献中敏捷性研究范式的发展。在此文献计量分析的基础上，整理了金融科技领域敏捷性研究的演变，重点研究了1984年至2022年间与金融科技敏捷性相关的文献。在本研究中，我们还解决了来自Scopus和Web of Science (WOS)的单个分析的局限性，并提出了一种通过合并两个研究数据库的综合方法。结果显示WOS和合并数据库之间的作者、发表影响和关键字出现率存在显著差异。我们的研究强调了在文献计量学研究中结合数据库方法的重要性，为学者、研究人员和利益相关者提供了有价值的见解。最后，深入的文献计量分析证明了“金融科技敏捷性”在快速发展的金融科技领域的重要性。金融科技公司的敏捷性，或者说快速适应的能力，是它们成功和创新的基础。
{"title":"A Bibliometric Analysis of the FinTech Agility Literature: Evolution and Review","authors":"Abdelkebir Sahid, Yassine Maleh, Shahram Atashi Asemanjerdi, Pedro Antonio Martín-Cervantes","doi":"10.3390/ijfs11040123","DOIUrl":"https://doi.org/10.3390/ijfs11040123","url":null,"abstract":"Bibliometric analysis is crucial in understanding the evolution of research trends and knowledge in various fields. This study applies bibliometric analysis to explore the growth of the research paradigm on agility in the FinTech literature, using co-citation analysis and bibliographic coupling of selected articles. Based on this bibliometric analysis, the evolution of research on agility in the FinTech domain has been prepared, focusing on the literature related to FinTech agility between 1984 and 2022. In this study, we also address the limitations of individual analyses from Scopus and Web of Science (WOS) and propose a comprehensive approach by merging the two research databases. The results reveal significant disparities between authors, publication influences, and keyword occurrences between the WOS and merged databases. Our research highlights the importance of combining a database approach in bibliometric studies, providing valuable insights for scholars, researchers, and stakeholders. Finally, the in-depth bibliometric analysis demonstrates the significance of “FinTech agility” in the rapidly evolving FinTech sector. Financial technology companies’ agility, or ability to adapt quickly, is the foundation of their success and innovation.","PeriodicalId":45794,"journal":{"name":"International Journal of Financial Studies","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135569659","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 paper examines the relationship between the presence of blockholdings and stock returns and return volatility in the United Arab Emirates. Earlier studies report mixed results for the direction of the relationships across both developed and emerging markets. This study focuses specifically on these relationships in a dividend policy framework. This study further investigates the role of blockholder type by distinguishing between government, individual and corporate blockholders. Our results indicate that blockholder ownership reduces stock return volatility for both non-dividend-paying and dividend-paying stocks, does not impact returns and is not perceived as expropriating the wealth of other investors. We also conclude that the blockholders do not exhibit rent-seeking behavior through the extraction of dividends and investors in UAE firms embrace the role of blockholders and the reinvestment of profits.
{"title":"Blockholdings, Dividend Policy, Stock Returns and Return Volatility: Evidence from the UAE","authors":"Umar Butt, Trevor William Chamberlain","doi":"10.3390/ijfs11040122","DOIUrl":"https://doi.org/10.3390/ijfs11040122","url":null,"abstract":"This paper examines the relationship between the presence of blockholdings and stock returns and return volatility in the United Arab Emirates. Earlier studies report mixed results for the direction of the relationships across both developed and emerging markets. This study focuses specifically on these relationships in a dividend policy framework. This study further investigates the role of blockholder type by distinguishing between government, individual and corporate blockholders. Our results indicate that blockholder ownership reduces stock return volatility for both non-dividend-paying and dividend-paying stocks, does not impact returns and is not perceived as expropriating the wealth of other investors. We also conclude that the blockholders do not exhibit rent-seeking behavior through the extraction of dividends and investors in UAE firms embrace the role of blockholders and the reinvestment of profits.","PeriodicalId":45794,"journal":{"name":"International Journal of Financial Studies","volume":"280 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136114633","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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