Pub Date : 2024-06-14DOI: 10.21511/imfi.21(2).2024.31
Hanna Waleed Alrabadi, Naim Salameh Al-Qadi
Weak-form efficiency means that stock prices should reflect all historical information and follow a random walk. This study examines the effect of the COVID-19 pandemic on the stock market weak-form efficiency of Arab countries, namely, Jordan, Lebanon, Kuwait, Morocco, Oman, Palestine, Bahrain, Egypt, Iraq, Qatar, Saudi Arabia, the United Arab Emirates, Syria, Tunisia, and Sudan. Daily data from July 1st, 2021 to November 12th, 2022 (370 trading days) are used to cover the period after starting the pandemic. The variance ratio and the runs test are used to test return predictability. The results show that the variance ratio values of Boursa Kuwait, the Egyptian Exchange, Tadawul, and the Amman Stock Exchange are statistically significant, indicating that their returns are unpredictable. In specific, the indices of these stock markets follow a random walk, and their price changes are independent. This is evidence that these stock markets are efficient at a weak level. In contrast, the insignificant values of the variance ratio indicate that returns are predictable in other Arab stock exchanges after the pandemic era. The findings of the Egyptian Exchange, Tadawul, and the Amman Stock Exchange are confirmed using the run test of weak-form efficiency. It reveals that the indices of these stock exchanges follow a random walk, while the indices of other Arab stock markets do not.
{"title":"Testing the weak-form efficiency of Arab stock markets after the COVID-19 pandemic","authors":"Hanna Waleed Alrabadi, Naim Salameh Al-Qadi","doi":"10.21511/imfi.21(2).2024.31","DOIUrl":"https://doi.org/10.21511/imfi.21(2).2024.31","url":null,"abstract":"Weak-form efficiency means that stock prices should reflect all historical information and follow a random walk. This study examines the effect of the COVID-19 pandemic on the stock market weak-form efficiency of Arab countries, namely, Jordan, Lebanon, Kuwait, Morocco, Oman, Palestine, Bahrain, Egypt, Iraq, Qatar, Saudi Arabia, the United Arab Emirates, Syria, Tunisia, and Sudan. Daily data from July 1st, 2021 to November 12th, 2022 (370 trading days) are used to cover the period after starting the pandemic. The variance ratio and the runs test are used to test return predictability. The results show that the variance ratio values of Boursa Kuwait, the Egyptian Exchange, Tadawul, and the Amman Stock Exchange are statistically significant, indicating that their returns are unpredictable. In specific, the indices of these stock markets follow a random walk, and their price changes are independent. This is evidence that these stock markets are efficient at a weak level. In contrast, the insignificant values of the variance ratio indicate that returns are predictable in other Arab stock exchanges after the pandemic era. The findings of the Egyptian Exchange, Tadawul, and the Amman Stock Exchange are confirmed using the run test of weak-form efficiency. It reveals that the indices of these stock exchanges follow a random walk, while the indices of other Arab stock markets do not.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"6 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141342643","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 : 2024-06-11DOI: 10.21511/imfi.21(2).2024.30
K. M. Anwarul Islam, Muhammad Saifuddin Khan
The primary aim of this study is to delve into the factors influencing individuals’ readiness to embrace financial technology (FinTech) services in Bangladesh. Specifically, the study focused on Bangladeshi fintech consumer’s knowledge about contemporary digital financial tools, such as mobile-based payment service apps. Data collection was carried out using a survey questionnaire tailored to the Bangladeshi context. Participants were invited to participate in the survey, and their responses were gathered upon their consent. A five-point Likert scale, ranging from ‘1’ for ‘Strongly Disagree’ to ‘5’ for ‘Strongly Agree,’ was employed to gauge the questionnaire items. The final sample size was 450 respondents. To assess the hypotheses, a 5% significance level was employed, with data analysis conducted using SPSS software. The findings underscore a positive and statistically significant impact of financial literacy, digital literacy, and financial self-efficacy on the adoption of FinTech services in Bangladesh. Collectively, these variables elucidate 48.20% of the variance (R2=0.482) in predicting individuals’ adoption behavior of FinTech. Financial self-efficacy (β = 0.574; t-value = 8.394) has the highest effect on FinTech adoption compared to the other two factors. Additionally, a substantial correlation coefficient (r=0.634) is present between digital literacy and FinTech adoption. This study contributes to the extant literature on FinTech services by providing valuable insights that enhance scholars’ understanding of the emerging financial technologies’ significance and their predominant impacts within the Bangladeshi FinTech ecosystem. These findings hold implications for policymakers, financial institutions, and stakeholders seeking to promote FinTech adoption and foster financial inclusion in Bangladesh.
{"title":"The role of financial literacy, digital literacy, and financial self-efficacy in FinTech adoption","authors":"K. M. Anwarul Islam, Muhammad Saifuddin Khan","doi":"10.21511/imfi.21(2).2024.30","DOIUrl":"https://doi.org/10.21511/imfi.21(2).2024.30","url":null,"abstract":"The primary aim of this study is to delve into the factors influencing individuals’ readiness to embrace financial technology (FinTech) services in Bangladesh. Specifically, the study focused on Bangladeshi fintech consumer’s knowledge about contemporary digital financial tools, such as mobile-based payment service apps. Data collection was carried out using a survey questionnaire tailored to the Bangladeshi context. Participants were invited to participate in the survey, and their responses were gathered upon their consent. A five-point Likert scale, ranging from ‘1’ for ‘Strongly Disagree’ to ‘5’ for ‘Strongly Agree,’ was employed to gauge the questionnaire items. The final sample size was 450 respondents. To assess the hypotheses, a 5% significance level was employed, with data analysis conducted using SPSS software. The findings underscore a positive and statistically significant impact of financial literacy, digital literacy, and financial self-efficacy on the adoption of FinTech services in Bangladesh. Collectively, these variables elucidate 48.20% of the variance (R2=0.482) in predicting individuals’ adoption behavior of FinTech. Financial self-efficacy (β = 0.574; t-value = 8.394) has the highest effect on FinTech adoption compared to the other two factors. Additionally, a substantial correlation coefficient (r=0.634) is present between digital literacy and FinTech adoption. This study contributes to the extant literature on FinTech services by providing valuable insights that enhance scholars’ understanding of the emerging financial technologies’ significance and their predominant impacts within the Bangladeshi FinTech ecosystem. These findings hold implications for policymakers, financial institutions, and stakeholders seeking to promote FinTech adoption and foster financial inclusion in Bangladesh.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"72 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141357775","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 : 2024-06-11DOI: 10.21511/imfi.21(2).2024.29
Dewi Cahyani Pangestuti, Ali Muktiyanto, Ira Geraldina, Darmawan Darmawan
Enterprise risk management (ERM) is a crucial aspect of corporate operations. This study examines the impact of environmental uncertainty, industry competition, and firm complexity on Enterprise Risk Management implementation and firm performance in the Southeast Asian mining industry. Utilizing data from 205 mining companies listed on Southeast Asian stock exchanges from 2016 to 2022, the analysis employs panel data regression methods. The findings reveal that environmental uncertainty does not significantly affect ERM, while industry competition positively influences ERM but negatively impacts firm performance. Firm complexity positively affects both ERM and performance. ERM mediates the relationships between industry competition, firm complexity, and performance, while intellectual capital moderates the effect of ERM on performance. These results underscore the strategic importance of integrating ERM practices and developing intellectual capital to enhance firm performance amidst competitive and complex business environments. The study contributes to the literature by providing empirical evidence on the nuanced relationships between these variables in the context of the Southeast Asian mining sector and offers practical insights for policymakers and industry leaders.
{"title":"Optimizing firm performance through contingency factors, enterprise risk management, and intellectual capital in Southeast Asian mining enterprises","authors":"Dewi Cahyani Pangestuti, Ali Muktiyanto, Ira Geraldina, Darmawan Darmawan","doi":"10.21511/imfi.21(2).2024.29","DOIUrl":"https://doi.org/10.21511/imfi.21(2).2024.29","url":null,"abstract":"Enterprise risk management (ERM) is a crucial aspect of corporate operations. This study examines the impact of environmental uncertainty, industry competition, and firm complexity on Enterprise Risk Management implementation and firm performance in the Southeast Asian mining industry. Utilizing data from 205 mining companies listed on Southeast Asian stock exchanges from 2016 to 2022, the analysis employs panel data regression methods. The findings reveal that environmental uncertainty does not significantly affect ERM, while industry competition positively influences ERM but negatively impacts firm performance. Firm complexity positively affects both ERM and performance. ERM mediates the relationships between industry competition, firm complexity, and performance, while intellectual capital moderates the effect of ERM on performance. These results underscore the strategic importance of integrating ERM practices and developing intellectual capital to enhance firm performance amidst competitive and complex business environments. The study contributes to the literature by providing empirical evidence on the nuanced relationships between these variables in the context of the Southeast Asian mining sector and offers practical insights for policymakers and industry leaders.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"92 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141359333","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 : 2024-06-05DOI: 10.21511/imfi.21(2).2024.28
Vandana Bhama
The classical view of experts associates greater risks with greater rewards. The present study explores whether increased volatility in portfolios can create more returns for investors by using technical indicators or the buy-and-hold (BH) strategy. The study used closing prices of National Stock Exchange (NSE) 500 index firms for a period of 16 years (2007–2022). Five portfolios ranging from low to high volatility were created using standard deviation as a key measure. Findings indicate that as the volatility of the portfolios increases, the moving average (MA) returns seem to be higher. Across the various MA time frames, the 20-day MA seems to have generated the highest return annually (36.53% before transaction costs and 31.05% after transaction costs) due to reasonable trading opportunities with adjustable transaction costs. The CAPM also generated positive alpha (after bearing transaction costs) in the case of 20, 50, and 100 days MA, with the values being 16.66%, 13.29%, and 12.09%, respectively, in the case of highly volatile portfolios. On the other hand, while the BH strategy created substantial returns in all scenarios, the risk factor was extremely high due to the high standard deviation. Hence, it is suggested that investors/traders consider the BH strategy more cautiously while choosing between technical analysis returns and BH returns. Investors with high-risk preferences may have BH as their choice, while day traders with managed risk appetites may prefer technical tools over BH returns. AcknowledgmentThe infrastructural support provided by the FORE School of Management, New Delhi in completing this paper is gratefully acknowledged.
{"title":"Does an increase in portfolio volatility create more returns? Evidence from India","authors":"Vandana Bhama","doi":"10.21511/imfi.21(2).2024.28","DOIUrl":"https://doi.org/10.21511/imfi.21(2).2024.28","url":null,"abstract":"The classical view of experts associates greater risks with greater rewards. The present study explores whether increased volatility in portfolios can create more returns for investors by using technical indicators or the buy-and-hold (BH) strategy. The study used closing prices of National Stock Exchange (NSE) 500 index firms for a period of 16 years (2007–2022). Five portfolios ranging from low to high volatility were created using standard deviation as a key measure. Findings indicate that as the volatility of the portfolios increases, the moving average (MA) returns seem to be higher. Across the various MA time frames, the 20-day MA seems to have generated the highest return annually (36.53% before transaction costs and 31.05% after transaction costs) due to reasonable trading opportunities with adjustable transaction costs. The CAPM also generated positive alpha (after bearing transaction costs) in the case of 20, 50, and 100 days MA, with the values being 16.66%, 13.29%, and 12.09%, respectively, in the case of highly volatile portfolios. On the other hand, while the BH strategy created substantial returns in all scenarios, the risk factor was extremely high due to the high standard deviation. Hence, it is suggested that investors/traders consider the BH strategy more cautiously while choosing between technical analysis returns and BH returns. Investors with high-risk preferences may have BH as their choice, while day traders with managed risk appetites may prefer technical tools over BH returns.\u0000AcknowledgmentThe infrastructural support provided by the FORE School of Management, New Delhi in completing this paper is gratefully acknowledged.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"36 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141382935","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 : 2024-05-21DOI: 10.21511/imfi.21(2).2024.21
Kunofiwa Tsaurai
The study investigated the impact of intellectual property rights on foreign direct investment (FDI) in selected African countries (Burkina Faso, Ivory Coast, Nigeria, Cameroon, Mali, Kenya, Burundi, Central African Republic, Rwanda, Senegal, Zimbabwe, and Tanzania). The purpose of the study is to develop property rights policies that encourages FDI in African countries. How FDI is influenced by the combination of trade openness and intellectual property rights was also examined using the same data set and econometric methods such as the dynamic generalized method of moments (GMM), fixed effects, and pooled ordinary least squares (OLS). Panel data ranging from 2005 to 2019 were used for the purposes of this study. A 1% increase in intellectual property rights led to a 22.73% increase in FDI inflows under the dynamic GMM and a 45.55% increase in FDI inflows under the random effects. These results show that intellectual property rights significantly enhanced FDI under the random effects and dynamic GMM. FDI was insignificantly enhanced by intellectual property rights under the pooled OLS and fixed effects methods. A 1% increase in complementarity between intellectual property rights and trade openness (complementarity term) pushed up FDI inflows by 17.78% under the dynamic GMM, whilst a 1% increase in the complementarity term increased FDI inflows by 16.72% under the fixed effects. In other words, dynamic GMM and fixed effects approaches show that the complementarity component significantly improved FDI inflows. The paper recommends implementing the best property rights strategies to improve FDI inflows into African countries. AcknowledgmentThe author appreciates the moral support from the University of South Africa, his employer.
{"title":"Impact of intellectual property rights on foreign direct investment in Africa","authors":"Kunofiwa Tsaurai","doi":"10.21511/imfi.21(2).2024.21","DOIUrl":"https://doi.org/10.21511/imfi.21(2).2024.21","url":null,"abstract":"The study investigated the impact of intellectual property rights on foreign direct investment (FDI) in selected African countries (Burkina Faso, Ivory Coast, Nigeria, Cameroon, Mali, Kenya, Burundi, Central African Republic, Rwanda, Senegal, Zimbabwe, and Tanzania). The purpose of the study is to develop property rights policies that encourages FDI in African countries. How FDI is influenced by the combination of trade openness and intellectual property rights was also examined using the same data set and econometric methods such as the dynamic generalized method of moments (GMM), fixed effects, and pooled ordinary least squares (OLS). Panel data ranging from 2005 to 2019 were used for the purposes of this study. A 1% increase in intellectual property rights led to a 22.73% increase in FDI inflows under the dynamic GMM and a 45.55% increase in FDI inflows under the random effects. These results show that intellectual property rights significantly enhanced FDI under the random effects and dynamic GMM. FDI was insignificantly enhanced by intellectual property rights under the pooled OLS and fixed effects methods. A 1% increase in complementarity between intellectual property rights and trade openness (complementarity term) pushed up FDI inflows by 17.78% under the dynamic GMM, whilst a 1% increase in the complementarity term increased FDI inflows by 16.72% under the fixed effects. In other words, dynamic GMM and fixed effects approaches show that the complementarity component significantly improved FDI inflows. The paper recommends implementing the best property rights strategies to improve FDI inflows into African countries.\u0000AcknowledgmentThe author appreciates the moral support from the University of South Africa, his employer.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"24 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141118232","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 : 2024-05-20DOI: 10.21511/imfi.21(2).2024.20
Amer Morshed
This study examines the impact of operating capital management (WCM) strategies on the monetary execution of small and medium-sized enterprises (SMEs) in Poland, with a particular focus on finding the correct equalization between liquidity and benefit. The review utilizes relapse investigation to survey the effect of forceful and conservative (WCM) techniques on the benefit and fluidity of 4,891 Polish SMEs from 2012 to 2021, as measured by an informational index of budgetary and operational information. The results demonstrate a noteworthy connection between WCM improvements and budgetary results. However, aggressive actions do not just mean higher earnings; they also involve heavier financial risks. On the other hand, cautious methods are linked with stronger financial stability but may lead to lower profit. According to the survey, when cash conversion cycle (CCC) days fall by 1%, return on total assets (ROA) can increase by approximately 1:0 percentage points. This demonstrates again that WCM is very important in improving company profits. These findings have implications for academics, practitioners, and government officials.
{"title":"Strategic working capital management in Polish SMES: Navigating risk and reward for enhanced financial performance","authors":"Amer Morshed","doi":"10.21511/imfi.21(2).2024.20","DOIUrl":"https://doi.org/10.21511/imfi.21(2).2024.20","url":null,"abstract":"This study examines the impact of operating capital management (WCM) strategies on the monetary execution of small and medium-sized enterprises (SMEs) in Poland, with a particular focus on finding the correct equalization between liquidity and benefit. The review utilizes relapse investigation to survey the effect of forceful and conservative (WCM) techniques on the benefit and fluidity of 4,891 Polish SMEs from 2012 to 2021, as measured by an informational index of budgetary and operational information. The results demonstrate a noteworthy connection between WCM improvements and budgetary results. However, aggressive actions do not just mean higher earnings; they also involve heavier financial risks. On the other hand, cautious methods are linked with stronger financial stability but may lead to lower profit. According to the survey, when cash conversion cycle (CCC) days fall by 1%, return on total assets (ROA) can increase by approximately 1:0 percentage points. This demonstrates again that WCM is very important in improving company profits. These findings have implications for academics, practitioners, and government officials.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"16 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141121034","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 : 2024-05-14DOI: 10.21511/imfi.21(2).2024.19
Mailinda Tri Wahyuni, E. Ridwan, Dwi Fitrizal Salim
This study aims to determine the impact of macroeconomic variables on bitcoin prices in the United States. Bitcoin is one of the cryptocurrencies that has the highest price and the most users in the United States in recent years. This study uses monthly data on inflation, interest rates, USD/EUR rates, gold prices, and bitcoin prices. To achieve the objectives of this study, Dynamic Conditional Correlation (DCC) and Multivariate Generalized Autoregressive Conditional Heteroscedasticity (MGARCH) were used. The results showed that there is a negative and significant relationship between the variables of inflation, interest rates, and USD/EUR rates affecting the price of Bitcoin in that period. Conversely, there is a positive and significant relationship between the price of gold and the price of Bitcoin in the United States during that period. An in-depth understanding of how macroeconomic factors such as inflation, interest rates and the USD/EUR rates affect Bitcoin price is key to making smart investment decisions in an increasingly complex crypto market. The findings of this analysis confirm that the significant relationship between macroeconomic variables and Bitcoin price provides deeper insights for investors to anticipate market movements and design adaptive investment strategies.
{"title":"US macroeconomic determinants of Bitcoin","authors":"Mailinda Tri Wahyuni, E. Ridwan, Dwi Fitrizal Salim","doi":"10.21511/imfi.21(2).2024.19","DOIUrl":"https://doi.org/10.21511/imfi.21(2).2024.19","url":null,"abstract":"This study aims to determine the impact of macroeconomic variables on bitcoin prices in the United States. Bitcoin is one of the cryptocurrencies that has the highest price and the most users in the United States in recent years. This study uses monthly data on inflation, interest rates, USD/EUR rates, gold prices, and bitcoin prices. To achieve the objectives of this study, Dynamic Conditional Correlation (DCC) and Multivariate Generalized Autoregressive Conditional Heteroscedasticity (MGARCH) were used. The results showed that there is a negative and significant relationship between the variables of inflation, interest rates, and USD/EUR rates affecting the price of Bitcoin in that period. Conversely, there is a positive and significant relationship between the price of gold and the price of Bitcoin in the United States during that period. An in-depth understanding of how macroeconomic factors such as inflation, interest rates and the USD/EUR rates affect Bitcoin price is key to making smart investment decisions in an increasingly complex crypto market. The findings of this analysis confirm that the significant relationship between macroeconomic variables and Bitcoin price provides deeper insights for investors to anticipate market movements and design adaptive investment strategies.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"20 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140981560","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 influence of the mandatory disclosure of corporate governance reports on stock retirement in Korea. Given the challenges of applying stock repurchasing to measure shareholder return policy in the Korean stock market, this study focuses on stock retirement as a key indicator to examine the effectiveness of introducing the corporate governance report on shareholder return policy. Employing the Difference-in-Differences approach followed, this paper conducts empirical analyses based on 5,932 observations from 2011 to 2020. The main findings indicate a significant increase in stock retirement by companies implementing mandatory disclosures of corporate governance reports (coef = 0.018, p-value <0.01) compared to companies that do not disclose them. The results of the alternative measures for stock retirement and propensity score matching (PSM) model also present a positive association between mandatory disclosure of corporate governance reports and stock retirement, respectively (coef = 0.400 and 1.421, p-value <0.01; coef = 0.019, p-value < 0.1). This study provides evidence to support the notion that introducing corporate governance reports enhances overall shareholder returns, leading to an increase in stock retirement. Moreover, these findings validate that stock retirement is an adequate proxy for analyzing the level of shareholder returns in Korean firms.
{"title":"Does corporate governance report disclosure increase stock retirement? Evidence from Korea","authors":"Hyoung Seok Choo, Taegon Moon, Sun-ae Cho, Doocheol Moon","doi":"10.21511/imfi.21(2).2024.18","DOIUrl":"https://doi.org/10.21511/imfi.21(2).2024.18","url":null,"abstract":"This study examines the influence of the mandatory disclosure of corporate governance reports on stock retirement in Korea. Given the challenges of applying stock repurchasing to measure shareholder return policy in the Korean stock market, this study focuses on stock retirement as a key indicator to examine the effectiveness of introducing the corporate governance report on shareholder return policy. Employing the Difference-in-Differences approach followed, this paper conducts empirical analyses based on 5,932 observations from 2011 to 2020. The main findings indicate a significant increase in stock retirement by companies implementing mandatory disclosures of corporate governance reports (coef = 0.018, p-value <0.01) compared to companies that do not disclose them. The results of the alternative measures for stock retirement and propensity score matching (PSM) model also present a positive association between mandatory disclosure of corporate governance reports and stock retirement, respectively (coef = 0.400 and 1.421, p-value <0.01; coef = 0.019, p-value < 0.1). This study provides evidence to support the notion that introducing corporate governance reports enhances overall shareholder returns, leading to an increase in stock retirement. Moreover, these findings validate that stock retirement is an adequate proxy for analyzing the level of shareholder returns in Korean firms.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"73 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140985039","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 : 2024-05-10DOI: 10.21511/imfi.21(2).2024.17
Jamileh Ali Mustafa
This study investigates the implications of the interaction of financial literacy, regulatory technology, and decentralized finance applications for financial sector development. A two-step analytical regression approach on EViews 10 was used, which performs a one-factor analysis for each variable to identify the individual impact of each factor. A linear FMOLS approach was used to evaluate the cooperative effect of integration. The methodology was implemented on a dataset comprising 2,880 observations from 23 financial institutions in Jordan.The findings support the hypothesized dynamic interrelations between the essential Fintech factors relevant to the sustainable development of the financial sector, including significant and insignificant factors with the impact of inflation, which provides an adequate understanding of Fintech’s evolution. Additionally, the outcomes consider post-2017 regulatory changes that reflect the role of supervision and regulation for the financial sector’s flexibility and efficiency. Therefore, the results reveal the essential contribution of integrating decentralized finance applications, financial literacy, and regulatory technology to the development of Jordan’s financial sector. Financial literacy serves as a facilitator, regulatory technology is a compliance enabler, and decentralized finance applications are driving forces of innovation and financial inclusion, ensuring a robust and sustainable financial ecosystem. It is shown that the interaction of factors forces the sector’s development, reflecting the world’s trend in digital inclusion and viable financial development.
{"title":"Integrating financial literacy, regulatory technology, and decentralized finance: A new paradigm in Fintech evolution","authors":"Jamileh Ali Mustafa","doi":"10.21511/imfi.21(2).2024.17","DOIUrl":"https://doi.org/10.21511/imfi.21(2).2024.17","url":null,"abstract":"This study investigates the implications of the interaction of financial literacy, regulatory technology, and decentralized finance applications for financial sector development. A two-step analytical regression approach on EViews 10 was used, which performs a one-factor analysis for each variable to identify the individual impact of each factor. A linear FMOLS approach was used to evaluate the cooperative effect of integration. The methodology was implemented on a dataset comprising 2,880 observations from 23 financial institutions in Jordan.The findings support the hypothesized dynamic interrelations between the essential Fintech factors relevant to the sustainable development of the financial sector, including significant and insignificant factors with the impact of inflation, which provides an adequate understanding of Fintech’s evolution. Additionally, the outcomes consider post-2017 regulatory changes that reflect the role of supervision and regulation for the financial sector’s flexibility and efficiency. Therefore, the results reveal the essential contribution of integrating decentralized finance applications, financial literacy, and regulatory technology to the development of Jordan’s financial sector. Financial literacy serves as a facilitator, regulatory technology is a compliance enabler, and decentralized finance applications are driving forces of innovation and financial inclusion, ensuring a robust and sustainable financial ecosystem. It is shown that the interaction of factors forces the sector’s development, reflecting the world’s trend in digital inclusion and viable financial development.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":" 72","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140993072","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 : 2024-05-07DOI: 10.21511/imfi.21(2).2024.16
Thabiso Sthembiso Msomi
This study’s purpose is to assess the influence of small and medium-sized enterprises’ (SMEs) budgeting skills on loan repayment in South Africa. The quantitative research approach was selected as the appropriate methodology for this study, while the purposive sampling approach was selected as the appropriate way to select participants for this study. The primary data for this study came from respondents who were business owners of SMEs in the retail, hardware, construction, and manufacturing industries. SPSS was used to analyze the acquired data. A total of 380 research questionnaires were distributed, and there were 375 that were returned for analysis (which gives a response rate of 99%). Both a regression analysis and a correlation analysis using Pearson’s method were carried out. Pearson’s correlation coefficient revealed a positive and significant relationship between SMEs’ budgeting skills and loan repayment at the level of r =.250, p < 0.0005. These results were supported by the finding that there is a positive and significant association between these two factors. According to the findings of the study, it is recommended that financial providers educate their SMEs on how to prepare various types of budgets, how to follow up and compare their financial objectives to their performance, and that financial institutions and government organizations should assist SMEs with budgeting skills to decrease SME loan defaults.
{"title":"Nexus between small and medium-sized enterprise budgeting skills and loan repayment in South Africa","authors":"Thabiso Sthembiso Msomi","doi":"10.21511/imfi.21(2).2024.16","DOIUrl":"https://doi.org/10.21511/imfi.21(2).2024.16","url":null,"abstract":"This study’s purpose is to assess the influence of small and medium-sized enterprises’ (SMEs) budgeting skills on loan repayment in South Africa. The quantitative research approach was selected as the appropriate methodology for this study, while the purposive sampling approach was selected as the appropriate way to select participants for this study. The primary data for this study came from respondents who were business owners of SMEs in the retail, hardware, construction, and manufacturing industries. SPSS was used to analyze the acquired data. A total of 380 research questionnaires were distributed, and there were 375 that were returned for analysis (which gives a response rate of 99%). Both a regression analysis and a correlation analysis using Pearson’s method were carried out. Pearson’s correlation coefficient revealed a positive and significant relationship between SMEs’ budgeting skills and loan repayment at the level of r =.250, p < 0.0005. These results were supported by the finding that there is a positive and significant association between these two factors. According to the findings of the study, it is recommended that financial providers educate their SMEs on how to prepare various types of budgets, how to follow up and compare their financial objectives to their performance, and that financial institutions and government organizations should assist SMEs with budgeting skills to decrease SME loan defaults.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"44 3‐4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141002189","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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