Marijana Bartulović, Dijana Perkušić, Ivan Kovačević
Abstract Fraud presents a serious problem and arising issue for all of society at national and global levels. According to global fraud research conducted by the Association of Certified Fraud Examiners, it is estimated that the average company loses about 5% of its annual revenue due to different types of business fraud. Total estimated annual fraud losses according to global ACFE research reaches about 4.7 trillion dollars. Business frauds also present an important issue for the Croatian economy, business community and society as a whole. Thereby, considerable attention should be given to this issue with the aim of raising awareness throughout society on fraud and its negative and destructive impact on all of society. The main purpose of this paper is to examine differences in fraud characteristics between state-owned and private companies in the Republic of Croatia. Research was based on data on business frauds obtained by the Association of Certified Fraud Examiners Croatia which included 124 respondents. Data were related to frauds that occurred in Croatian companies in 2021 and 2020. In this paper we focused on fraud characteristics such as fraud loss, type of fraud, fraud duration and methods of fraud detection in order to determine whether fraud in privately owned companies differs significantly from fraud in state-owned companies. Research results revealed how differences in fraud characteristics among privately and state-owned companies exist. Based on a sample of Croatian companies that were victims of fraud, it is noted how fraud in state-owned companies lasts longer and creates greater loses in comparison to fraud in private owned companies. Moreover, data related to estimated fraud loss and fraud duration were statistically significant in terms of differentiating these two groups of companies. Based on data on discriminatory variables a logistic regression model correctly classified 78.46% of companies in the group of companies that are privately or state-owned.
{"title":"Differences in business fraud between state-owned and private companies: case of Croatia","authors":"Marijana Bartulović, Dijana Perkušić, Ivan Kovačević","doi":"10.2478/fiqf-2023-0023","DOIUrl":"https://doi.org/10.2478/fiqf-2023-0023","url":null,"abstract":"Abstract Fraud presents a serious problem and arising issue for all of society at national and global levels. According to global fraud research conducted by the Association of Certified Fraud Examiners, it is estimated that the average company loses about 5% of its annual revenue due to different types of business fraud. Total estimated annual fraud losses according to global ACFE research reaches about 4.7 trillion dollars. Business frauds also present an important issue for the Croatian economy, business community and society as a whole. Thereby, considerable attention should be given to this issue with the aim of raising awareness throughout society on fraud and its negative and destructive impact on all of society. The main purpose of this paper is to examine differences in fraud characteristics between state-owned and private companies in the Republic of Croatia. Research was based on data on business frauds obtained by the Association of Certified Fraud Examiners Croatia which included 124 respondents. Data were related to frauds that occurred in Croatian companies in 2021 and 2020. In this paper we focused on fraud characteristics such as fraud loss, type of fraud, fraud duration and methods of fraud detection in order to determine whether fraud in privately owned companies differs significantly from fraud in state-owned companies. Research results revealed how differences in fraud characteristics among privately and state-owned companies exist. Based on a sample of Croatian companies that were victims of fraud, it is noted how fraud in state-owned companies lasts longer and creates greater loses in comparison to fraud in private owned companies. Moreover, data related to estimated fraud loss and fraud duration were statistically significant in terms of differentiating these two groups of companies. Based on data on discriminatory variables a logistic regression model correctly classified 78.46% of companies in the group of companies that are privately or state-owned.","PeriodicalId":213695,"journal":{"name":"Financial Internet Quarterly","volume":"114 5","pages":"1 - 8"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139190839","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}
Abstract This study aims to predict the ESG (environmental, social, and governance) return volatility based on ESG index data from 26 October 2017 and 31 March 2023 in the case of India. In this study, we utilized GARCH (Generalized Autoregressive Conditional Heteroskedasticity) and LSTM (Long Short-Term Memory) models for forecasting the return of ESG volatility and to evaluate the model’s suitability for prediction. The study’s findings demonstrate the GARCH effect inside the ESG return volatility data, indicating the occurrence of volatility in response to market fluctuations. This study provides insight concerning the suitability of models for volatility predictions. Moreover, based on the analysis of the return volatility of the ESG index, the GARCH model is more appropriate than the LSTM model.
{"title":"ESG Volatility Prediction Using GARCH and LSTM Models","authors":"Akshay Kumar Mishra, Rahul Kumar, Debi Prasad Bal","doi":"10.2478/fiqf-2023-0029","DOIUrl":"https://doi.org/10.2478/fiqf-2023-0029","url":null,"abstract":"Abstract This study aims to predict the ESG (environmental, social, and governance) return volatility based on ESG index data from 26 October 2017 and 31 March 2023 in the case of India. In this study, we utilized GARCH (Generalized Autoregressive Conditional Heteroskedasticity) and LSTM (Long Short-Term Memory) models for forecasting the return of ESG volatility and to evaluate the model’s suitability for prediction. The study’s findings demonstrate the GARCH effect inside the ESG return volatility data, indicating the occurrence of volatility in response to market fluctuations. This study provides insight concerning the suitability of models for volatility predictions. Moreover, based on the analysis of the return volatility of the ESG index, the GARCH model is more appropriate than the LSTM model.","PeriodicalId":213695,"journal":{"name":"Financial Internet Quarterly","volume":"3 4","pages":"97 - 114"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139188385","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}
Abstract The significance of digital investment has grown substantially, enabled by advancing technology, which provides digital monitoring of investment instruments. Consequently, analyzing these instruments has become imperative. In particular, investors are inclined to compare new investment opportunities with well-established global stock markets, seeking to capitalize on their advanced financial literacy. This study aims to employ econometric analysis to explore the dynamic relationship between Bitcoin and the BIST100 and NASDAQ 100 indices. The time frame for this investigation spans from January 1, 2017, to March 10, 2022. Stationarity was confirmed through unit root tests (ADF, PP, KPSS, ZA, FADF, and FFFFF ADF) for the subsequent utilization of Autoregressive Conditional Variance Models. Additionally, Generalized Autoregressive Conditional Variance and Dynamic Conditional Correlation Tests were conducted. Results from the Dynamic Conditional Correlation Test model revealed no statistically significant dynamic conditional correlation between Bitcoin and BIST 100. Conversely, a negative and significant dynamic conditional correlation emerged between Bitcoin and NASDAQ 100. Investors should not only monitor the market but also review academic studies before making investment decisions. In this regard, this study holds significant importance. The study is limited to the BTC, BIST, and NASDAQ indices. Researchers interested in the topic can increase the dataset to further enrich the study.
{"title":"The dynamic relationship between BTC with BIST and NASDAQ indices","authors":"Cagri Ulu","doi":"10.2478/fiqf-2023-0030","DOIUrl":"https://doi.org/10.2478/fiqf-2023-0030","url":null,"abstract":"Abstract The significance of digital investment has grown substantially, enabled by advancing technology, which provides digital monitoring of investment instruments. Consequently, analyzing these instruments has become imperative. In particular, investors are inclined to compare new investment opportunities with well-established global stock markets, seeking to capitalize on their advanced financial literacy. This study aims to employ econometric analysis to explore the dynamic relationship between Bitcoin and the BIST100 and NASDAQ 100 indices. The time frame for this investigation spans from January 1, 2017, to March 10, 2022. Stationarity was confirmed through unit root tests (ADF, PP, KPSS, ZA, FADF, and FFFFF ADF) for the subsequent utilization of Autoregressive Conditional Variance Models. Additionally, Generalized Autoregressive Conditional Variance and Dynamic Conditional Correlation Tests were conducted. Results from the Dynamic Conditional Correlation Test model revealed no statistically significant dynamic conditional correlation between Bitcoin and BIST 100. Conversely, a negative and significant dynamic conditional correlation emerged between Bitcoin and NASDAQ 100. Investors should not only monitor the market but also review academic studies before making investment decisions. In this regard, this study holds significant importance. The study is limited to the BTC, BIST, and NASDAQ indices. Researchers interested in the topic can increase the dataset to further enrich the study.","PeriodicalId":213695,"journal":{"name":"Financial Internet Quarterly","volume":"35 6","pages":"113 - 126"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139195955","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}
Abstract The study aims to investigate the corporate dividend policy decisions in emerging countries during the COVID-19 pandemic. Our sample consists of 5,869 publicly listed firms from 29 emerging countries to explicate the observed trends in dividend policy during the pandemic. Logistic regressions are used to investigate the main factors that drive the propensity to change dividend payouts. Our analysis reveals that most firms opted to either increase or decrease their dividends, with a minority proportion deciding to maintain dividends. Notably, our findings demonstrate that firm profitability is the main driver of all types of dividend changes, except when firms opt to maintain or decrease dividends. Moreover, we find that when firms reduce dividends by over 70%, profitability emerges as a crucial determinant, thus bolstering the signaling hypothesis. The results are robust to sample size sensitivity and different levels of dividend changes. The findings of the study might have practical implications for corporate managers and policymakers in designing dividend decisions and policies under uncertain conditions. This research underscores the impact of the COVID-19 pandemic on corporate dividend policy in emerging countries and emphasizes the need to consider the level of dividend changes in exploring the dividend puzzle.
{"title":"How COVID-19 Affected Corporate Dividend Decisions: Novel Evidence from Emerging Countries","authors":"Abdullah AlGhazali, I. Yilmaz","doi":"10.2478/fiqf-2023-0025","DOIUrl":"https://doi.org/10.2478/fiqf-2023-0025","url":null,"abstract":"Abstract The study aims to investigate the corporate dividend policy decisions in emerging countries during the COVID-19 pandemic. Our sample consists of 5,869 publicly listed firms from 29 emerging countries to explicate the observed trends in dividend policy during the pandemic. Logistic regressions are used to investigate the main factors that drive the propensity to change dividend payouts. Our analysis reveals that most firms opted to either increase or decrease their dividends, with a minority proportion deciding to maintain dividends. Notably, our findings demonstrate that firm profitability is the main driver of all types of dividend changes, except when firms opt to maintain or decrease dividends. Moreover, we find that when firms reduce dividends by over 70%, profitability emerges as a crucial determinant, thus bolstering the signaling hypothesis. The results are robust to sample size sensitivity and different levels of dividend changes. The findings of the study might have practical implications for corporate managers and policymakers in designing dividend decisions and policies under uncertain conditions. This research underscores the impact of the COVID-19 pandemic on corporate dividend policy in emerging countries and emphasizes the need to consider the level of dividend changes in exploring the dividend puzzle.","PeriodicalId":213695,"journal":{"name":"Financial Internet Quarterly","volume":"26 2","pages":"25 - 48"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139193197","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}
Renata Legenzova, Asta Gaigalienė, Dalia Rudytė, Solveiga Skunčikienė, Vilma Kazlauskienė
Abstract Efficiency of education expenditure is the ability to maximize the educational achievement given the resources invested. Although public education expenditure tends to increase, yet this does not necessarily guarantee high quality of education services. This study aims to assess public education expenditure efficiency of Lithuanian municipalities and to identify the factors explaining its variations. The study used data for 2013-2019 from 60 Lithuanian municipalities. Corrected Ordinary Least Squares method was employed for public education expenditure efficiency assessment and regression analysis was used to determine its influencing factors. Inputs included financial (public expenditure for education and maintenance) and nonfinancial (composition of teachers, occupied area, etc.) variables. Passing ratio of Lithuanian (national) language and math exams were used as efficiency outputs. The context variables represented environmental factors of educational achievements, such as number of business entities, users of social housing, libraries, and culture centres as well as municipalities’ overall financial autonomy. Results of the research are ambiguous. When assessed by the overall passing of the exams, the efficiency was high, scoring 86-90%. But when evaluated by passing exams with the highest scores, it did not even reach 40%. Two types of public expenditure were identified as the most influential factors - public expenditure for education with the negative trend, and municipality own financing with the positive influence on the public education expenditure efficiency. Such results support the decentralization of public education expenditure management and call for alternative output measures in the Lithuanian public education system.
{"title":"Assessment of public education expenditure efficiency across Lithuanian municipalities","authors":"Renata Legenzova, Asta Gaigalienė, Dalia Rudytė, Solveiga Skunčikienė, Vilma Kazlauskienė","doi":"10.2478/fiqf-2023-0027","DOIUrl":"https://doi.org/10.2478/fiqf-2023-0027","url":null,"abstract":"Abstract Efficiency of education expenditure is the ability to maximize the educational achievement given the resources invested. Although public education expenditure tends to increase, yet this does not necessarily guarantee high quality of education services. This study aims to assess public education expenditure efficiency of Lithuanian municipalities and to identify the factors explaining its variations. The study used data for 2013-2019 from 60 Lithuanian municipalities. Corrected Ordinary Least Squares method was employed for public education expenditure efficiency assessment and regression analysis was used to determine its influencing factors. Inputs included financial (public expenditure for education and maintenance) and nonfinancial (composition of teachers, occupied area, etc.) variables. Passing ratio of Lithuanian (national) language and math exams were used as efficiency outputs. The context variables represented environmental factors of educational achievements, such as number of business entities, users of social housing, libraries, and culture centres as well as municipalities’ overall financial autonomy. Results of the research are ambiguous. When assessed by the overall passing of the exams, the efficiency was high, scoring 86-90%. But when evaluated by passing exams with the highest scores, it did not even reach 40%. Two types of public expenditure were identified as the most influential factors - public expenditure for education with the negative trend, and municipality own financing with the positive influence on the public education expenditure efficiency. Such results support the decentralization of public education expenditure management and call for alternative output measures in the Lithuanian public education system.","PeriodicalId":213695,"journal":{"name":"Financial Internet Quarterly","volume":"243 1-2","pages":"63 - 79"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139194980","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}
Abstract Diversity within top management teams (TMTs) has significant implications for firm financial performance, particularly in dynamic industries like the automotive sector. This paper analyzes the relationship between TMT diversity and financial outcomes in companies associated with the Volkswagen Group, operating in an intensely competitive market marked by technological advancements. This comprehensive paper synthesizes studies investigating the correlation between TMT diversity and financial performance within the automotive domain. Employing quantitative approaches, these studies assess demographic factors such as gender, age, ethnicity, and educational background. The analysis unveils distinct patterns of impact. Gender diversity within TMTs exhibits a positive influence on financial performance, with heightened profitability and increased market value being notable outcomes. Age diversity shows a nuanced trend, with moderate levels enhancing strategic decision-making capabilities and fostering innovation. Increased ethnic diversity within TMTs is associated with elevated innovation and overall firm performance. Furthermore, educational diversity within TMTs is found to bolster firm performance, underscoring its pivotal role in strategic decision-making and innovation. By offering a comprehensive synthesis of TMT diversity’s connection to financial performance within the Volkswagen Group’s context, this paper contributes novel perspectives. The study emphasizes the methodologies utilized, outlines key findings, and underscores the original contributions made by existing research. This study illuminates the profound influence of TMT diversity on shaping strategic decisions and fostering innovation in the automotive sector. Importantly, it highlights the crucial role of TMT diversity in driving positive financial outcomes.
{"title":"Top management team diversity impact on financial performance: Evidence from VW Group affiliated firms","authors":"Emil Velinov","doi":"10.2478/fiqf-2023-0015","DOIUrl":"https://doi.org/10.2478/fiqf-2023-0015","url":null,"abstract":"Abstract Diversity within top management teams (TMTs) has significant implications for firm financial performance, particularly in dynamic industries like the automotive sector. This paper analyzes the relationship between TMT diversity and financial outcomes in companies associated with the Volkswagen Group, operating in an intensely competitive market marked by technological advancements. This comprehensive paper synthesizes studies investigating the correlation between TMT diversity and financial performance within the automotive domain. Employing quantitative approaches, these studies assess demographic factors such as gender, age, ethnicity, and educational background. The analysis unveils distinct patterns of impact. Gender diversity within TMTs exhibits a positive influence on financial performance, with heightened profitability and increased market value being notable outcomes. Age diversity shows a nuanced trend, with moderate levels enhancing strategic decision-making capabilities and fostering innovation. Increased ethnic diversity within TMTs is associated with elevated innovation and overall firm performance. Furthermore, educational diversity within TMTs is found to bolster firm performance, underscoring its pivotal role in strategic decision-making and innovation. By offering a comprehensive synthesis of TMT diversity’s connection to financial performance within the Volkswagen Group’s context, this paper contributes novel perspectives. The study emphasizes the methodologies utilized, outlines key findings, and underscores the original contributions made by existing research. This study illuminates the profound influence of TMT diversity on shaping strategic decisions and fostering innovation in the automotive sector. Importantly, it highlights the crucial role of TMT diversity in driving positive financial outcomes.","PeriodicalId":213695,"journal":{"name":"Financial Internet Quarterly","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135641332","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}
Abstract In Turkey, the housing market is affected by various factors, and housing prices are shaped according to current conditions. In this study, the relationship between the housing price index (HPI) and economic variables (inflation and exchange rate) in Turkey was investigated. We used a 10-year time period for this study, from January-2010 to December-2019, with monthly data frequency. For our research, we employ the Wavelet Coherence Transformation (WCT) method. The results show that there is a positive relationship between inflation and housing prices in the short and long run. In addition, a continuous rise in inflation led to an increase in housing prices all over the period from 2010 to 2019. The findings of this study can aid in achieving the goal of the research by offering evidence-based perceptions of how housing prices and different economic variables are related. Housing costs in Turkey increased as a result of the substantial likelihood that the Turkish lira would weaken. The expansion of global inflation is a further anticipated factor contributing to the rise in housing costs in Turkey. This study can also be used by investors to help them decide whether to engage in the Turkish real estate industry.
{"title":"A 10-Year Analysis of Housing Prices and The Influence of Economic Factors in Turkey","authors":"Muhammad Muddasir, Umut Dondaş","doi":"10.2478/fiqf-2023-0022","DOIUrl":"https://doi.org/10.2478/fiqf-2023-0022","url":null,"abstract":"Abstract In Turkey, the housing market is affected by various factors, and housing prices are shaped according to current conditions. In this study, the relationship between the housing price index (HPI) and economic variables (inflation and exchange rate) in Turkey was investigated. We used a 10-year time period for this study, from January-2010 to December-2019, with monthly data frequency. For our research, we employ the Wavelet Coherence Transformation (WCT) method. The results show that there is a positive relationship between inflation and housing prices in the short and long run. In addition, a continuous rise in inflation led to an increase in housing prices all over the period from 2010 to 2019. The findings of this study can aid in achieving the goal of the research by offering evidence-based perceptions of how housing prices and different economic variables are related. Housing costs in Turkey increased as a result of the substantial likelihood that the Turkish lira would weaken. The expansion of global inflation is a further anticipated factor contributing to the rise in housing costs in Turkey. This study can also be used by investors to help them decide whether to engage in the Turkish real estate industry.","PeriodicalId":213695,"journal":{"name":"Financial Internet Quarterly","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135641331","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}
Abstract Emerging nations are often distressed if their current administration and governance do not align with social and national needs. Among these worries, there is the fear of public funds misconduct and corruption in the nation’s major institutions. Indeed, inadequate administration results in embezzlement of funds, tax evasion, and low bureaucratic quality in all sectors. This study was undertaken to address the role of impartial administration specifically in the financial sector. The research considered a sample size composed of 12 countries from Latin America and Sub-Saharan Africa in the period of 2000 to 2021. The net interest margin was considered a proxy for financial performance measurement. Additionally, an ordinary least squares and quantile regression was performed to record the effect of the variables on financial sector performance. Within this context, the findings exhibited different outcomes for these regions. For instance, in the Latin America region, the results revealed that public sector theft, bureaucratic quality, corruption level, local government index, and inflation have a negative impact on the performance of the financial sector while impartial public administration demonstrated a positive impact on financial performance. On the other hand, the Sub-Saharan African region demonstrated that bureaucratic quality, local government index, and inflation have a significant and positive impact on financial performance, whereas executive embezzlement and theft, corruption level, and government final expenditures were shown to negatively influence financial performance. Finally, the study’s findings provides insights into the policies and strategies to implement in order to support the financial framework.
{"title":"The role of impartial administration in financial sector performance: A comparative study of Latin America and Sub-Saharan African countries","authors":"Sadik Aden Dirir","doi":"10.2478/fiqf-2023-0016","DOIUrl":"https://doi.org/10.2478/fiqf-2023-0016","url":null,"abstract":"Abstract Emerging nations are often distressed if their current administration and governance do not align with social and national needs. Among these worries, there is the fear of public funds misconduct and corruption in the nation’s major institutions. Indeed, inadequate administration results in embezzlement of funds, tax evasion, and low bureaucratic quality in all sectors. This study was undertaken to address the role of impartial administration specifically in the financial sector. The research considered a sample size composed of 12 countries from Latin America and Sub-Saharan Africa in the period of 2000 to 2021. The net interest margin was considered a proxy for financial performance measurement. Additionally, an ordinary least squares and quantile regression was performed to record the effect of the variables on financial sector performance. Within this context, the findings exhibited different outcomes for these regions. For instance, in the Latin America region, the results revealed that public sector theft, bureaucratic quality, corruption level, local government index, and inflation have a negative impact on the performance of the financial sector while impartial public administration demonstrated a positive impact on financial performance. On the other hand, the Sub-Saharan African region demonstrated that bureaucratic quality, local government index, and inflation have a significant and positive impact on financial performance, whereas executive embezzlement and theft, corruption level, and government final expenditures were shown to negatively influence financial performance. Finally, the study’s findings provides insights into the policies and strategies to implement in order to support the financial framework.","PeriodicalId":213695,"journal":{"name":"Financial Internet Quarterly","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135641379","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}
Abstract This paper aims to assess the level of credit risk (from the perspective of default risk) among Polish households associated with the physical risks of climate change. In order to determine the potential impact of the physical risk of climate change on household credit risk, we conducted CAWI interviews with 1,006 borrowers residing in different Polish voivodeships (to account for heterogeneity of credit exposures to extreme weather events). According to these respondents, wildfires and storms in Poland are the greatest source of physical risk of climate change. In the event of a wildfire or storm, approximately 13% of borrowers would not be able to repay their loans while not being insured, which potentially increases banks’ credit risk and exposes banks to losses. However, we find that households underestimate the credit risk that could arise from a drought.
{"title":"Polish household default risk and physical risk of climate change","authors":"Łukasz Kurowski, Katarzyna Sokal","doi":"10.2478/fiqf-2023-0021","DOIUrl":"https://doi.org/10.2478/fiqf-2023-0021","url":null,"abstract":"Abstract This paper aims to assess the level of credit risk (from the perspective of default risk) among Polish households associated with the physical risks of climate change. In order to determine the potential impact of the physical risk of climate change on household credit risk, we conducted CAWI interviews with 1,006 borrowers residing in different Polish voivodeships (to account for heterogeneity of credit exposures to extreme weather events). According to these respondents, wildfires and storms in Poland are the greatest source of physical risk of climate change. In the event of a wildfire or storm, approximately 13% of borrowers would not be able to repay their loans while not being insured, which potentially increases banks’ credit risk and exposes banks to losses. However, we find that households underestimate the credit risk that could arise from a drought.","PeriodicalId":213695,"journal":{"name":"Financial Internet Quarterly","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135641335","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}
Abstract To maintain financial stability, banks need to recognize, assess, and mitigate potential losses, thus making risk control critical for long-term profitability as well as avoiding unexpected losses. This research examines the risk mitigating factors and performance of Ghanaian domestic banks in terms of capital adequacy, bank size, bank efficiency, and profitability, along with their association with systemic risk in the bank sector, as measured by the Z-score: Insolvency Risk - (µROA) plus capital asset ratio (equity capital divided by sum of all assets further divided by the standard deviation-(ƠROA) with a higher score for banks as a measure of bank stability. The study further explores the relationship between this ratio and the explanatory variables for a sample of 11 banks operating in Ghana between 2010 and 2021. Analysis of the data using the fixed effects model shows that profitability and bank efficiency are significant and affect the stability of banks positively. Bank size, on the other hand, is significant but negatively affects the stability of banks. Bank profitability is critical to stabilizing and protecting the banking sector from external shocks; as a result, this study suggests that bank management apply prudent practices to profitability-driven indicators and that the banking sector regulations be congruent with macro-prudential policies.
{"title":"An assessment of the risk mitigating factors in Ghana’s Bank Industry","authors":"Samuel Erasmus Alnaa, Juabin Matey","doi":"10.2478/fiqf-2023-0019","DOIUrl":"https://doi.org/10.2478/fiqf-2023-0019","url":null,"abstract":"Abstract To maintain financial stability, banks need to recognize, assess, and mitigate potential losses, thus making risk control critical for long-term profitability as well as avoiding unexpected losses. This research examines the risk mitigating factors and performance of Ghanaian domestic banks in terms of capital adequacy, bank size, bank efficiency, and profitability, along with their association with systemic risk in the bank sector, as measured by the Z-score: Insolvency Risk - (µROA) plus capital asset ratio (equity capital divided by sum of all assets further divided by the standard deviation-(ƠROA) with a higher score for banks as a measure of bank stability. The study further explores the relationship between this ratio and the explanatory variables for a sample of 11 banks operating in Ghana between 2010 and 2021. Analysis of the data using the fixed effects model shows that profitability and bank efficiency are significant and affect the stability of banks positively. Bank size, on the other hand, is significant but negatively affects the stability of banks. Bank profitability is critical to stabilizing and protecting the banking sector from external shocks; as a result, this study suggests that bank management apply prudent practices to profitability-driven indicators and that the banking sector regulations be congruent with macro-prudential policies.","PeriodicalId":213695,"journal":{"name":"Financial Internet Quarterly","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135640468","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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