Pub Date : 2023-04-26DOI: 10.21511/imfi.20(2).2023.08
Tega H. Williams, Grace O. Iriobe, Thomas D. Ayodele, Sunday F. Olasupo, Michael O. Aladejebi
The aim of this study is to examine the effects of illiteracy and unemployment on financial inclusion in rural areas of Nigeria between 2017 and 2022. Most rural areas in developing countries have high illiteracy and unemployment rates, creating challenges for researchers to measure the inclusiveness of financial services and products. This study examined the effect of illiteracy and unemployment on the inclusiveness of financial services and products in rural areas of Nigeria. The ex-post facto research design, systematic sampling, dummy for latent variables (erratic power supply and insecurity in rural areas), and autoregressive distributed lag (ARDL) techniques were employed. The result showed that the coefficient estimate for the illiteracy rate is negative (-0.5318), indicating that higher illiteracy is associated with lower financial inclusiveness, and the coefficient estimate for unemployment rate is also negative (-2.1977) and statistically significant, suggesting that the higher unemployment rate is associated with financial inclusiveness. These findings indicate that a decline in the delivery of financial services in developing nations attest to illiteracy and unemployment. This study concluded that there is a need to improve education and employment rates in rural areas of developing countries to achieve optimal inclusiveness of financial services and products.
{"title":"Do illiteracy and unemployment affect financial inclusion in the rural areas of developing countries?","authors":"Tega H. Williams, Grace O. Iriobe, Thomas D. Ayodele, Sunday F. Olasupo, Michael O. Aladejebi","doi":"10.21511/imfi.20(2).2023.08","DOIUrl":"https://doi.org/10.21511/imfi.20(2).2023.08","url":null,"abstract":"The aim of this study is to examine the effects of illiteracy and unemployment on financial inclusion in rural areas of Nigeria between 2017 and 2022. Most rural areas in developing countries have high illiteracy and unemployment rates, creating challenges for researchers to measure the inclusiveness of financial services and products. This study examined the effect of illiteracy and unemployment on the inclusiveness of financial services and products in rural areas of Nigeria. The ex-post facto research design, systematic sampling, dummy for latent variables (erratic power supply and insecurity in rural areas), and autoregressive distributed lag (ARDL) techniques were employed. The result showed that the coefficient estimate for the illiteracy rate is negative (-0.5318), indicating that higher illiteracy is associated with lower financial inclusiveness, and the coefficient estimate for unemployment rate is also negative (-2.1977) and statistically significant, suggesting that the higher unemployment rate is associated with financial inclusiveness. These findings indicate that a decline in the delivery of financial services in developing nations attest to illiteracy and unemployment. This study concluded that there is a need to improve education and employment rates in rural areas of developing countries to achieve optimal inclusiveness of financial services and products.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"27 5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83540692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-21DOI: 10.21511/imfi.20(2).2023.07
Bambang Sudiyatno, Sri Sudarsi, Witjaksono Eko Hartoto, Ika Rosyada Fitriati
The existence of a research gap compared to previous studies related to the effect of the relationship between institutional ownership and investment opportunity set on firm value in Indonesia is interesting to review. This study aims to reveal the relationship of these influences by adding capital structure as a moderating variable that serves to strengthen it against firm value. The research variables are the ratio of market value to book value of assets, institutional ownership, debt-to-equity ratio and free cash flow. The research timeframe is 2019–2021, using data taken from companies in the manufacturing sector in the Indonesian Capital Market (IDX). Data sampling was carried out using the purposive sampling method. Data analysis to determine the relationship of these effects and hypothesis testing were performed using multiple regression. The empirical research findings indicate that the investment opportunity set has a positive effect on increasing firm value, while capital structure has a negative effect on decreasing it. Institutional ownership and free cash flow do not determine firm value, so free cash flow does not serve as a control variable. The main finding of this study is revealing that capital structure plays a role in strengthening the effect of the relationship between investment opportunity sets on firm value. Acknowledgments This research is an independent study that is not funded by donor agencies.
{"title":"Does capital structure moderate the impact of the investment opportunity set and institutional ownership on firm value?","authors":"Bambang Sudiyatno, Sri Sudarsi, Witjaksono Eko Hartoto, Ika Rosyada Fitriati","doi":"10.21511/imfi.20(2).2023.07","DOIUrl":"https://doi.org/10.21511/imfi.20(2).2023.07","url":null,"abstract":"The existence of a research gap compared to previous studies related to the effect of the relationship between institutional ownership and investment opportunity set on firm value in Indonesia is interesting to review. This study aims to reveal the relationship of these influences by adding capital structure as a moderating variable that serves to strengthen it against firm value. The research variables are the ratio of market value to book value of assets, institutional ownership, debt-to-equity ratio and free cash flow. The research timeframe is 2019–2021, using data taken from companies in the manufacturing sector in the Indonesian Capital Market (IDX). Data sampling was carried out using the purposive sampling method. Data analysis to determine the relationship of these effects and hypothesis testing were performed using multiple regression. The empirical research findings indicate that the investment opportunity set has a positive effect on increasing firm value, while capital structure has a negative effect on decreasing it. Institutional ownership and free cash flow do not determine firm value, so free cash flow does not serve as a control variable. The main finding of this study is revealing that capital structure plays a role in strengthening the effect of the relationship between investment opportunity sets on firm value.\u0000Acknowledgments This research is an independent study that is not funded by donor agencies.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78756627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-21DOI: 10.21511/imfi.20(2).2023.06
I. Yoon, Dong-Suong Choi, Hansol Lee
The purpose of this study is to investigate the relationship between pay disparity and a company’s investment inefficiency, and to explore the moderating influence of investment in internal control personnel on this relationship. The global concern over pay disparity has intensified as executive compensation soars to unparalleled heights, while employee wages remain static. Utilizing a fixed-effect regression model and analyzing 5,407 observations from Korean listed companies between 2018 and 2020, the study shows a positive association between pay disparity (coef = 0.034, p-value < 0.01) and investment inefficiency, with pay disparity increasing the level of investment inefficiency by fostering overinvestment. Furthermore, the study shows that the interaction term between pay disparity and quantitative (coef = –0.246, p-value < 0.01) and qualitative (coef = –2.104, p-value < 0.01) investments in internal control personnel is negative and significant, indicating that the positive link between pay disparity and investment inefficiency is lessened when there is a higher quantitative and qualitative investment in internal control personnel. By offering a more comprehensive understanding of the conflicting evidence about the impact of pay disparity and the role of investment in internal control personnel in moderating the negative effect of pay disparity on investment efficiency, this study contributes to the existing literature. The findings of the study suggest that companies aiming to minimize investment inefficiency should consider not only addressing pay disparity but also investing in internal control personnel.
{"title":"Pay disparity, investment in internal control personnel, and a firm’s investment inefficiency: Korean evidence","authors":"I. Yoon, Dong-Suong Choi, Hansol Lee","doi":"10.21511/imfi.20(2).2023.06","DOIUrl":"https://doi.org/10.21511/imfi.20(2).2023.06","url":null,"abstract":"The purpose of this study is to investigate the relationship between pay disparity and a company’s investment inefficiency, and to explore the moderating influence of investment in internal control personnel on this relationship. The global concern over pay disparity has intensified as executive compensation soars to unparalleled heights, while employee wages remain static. Utilizing a fixed-effect regression model and analyzing 5,407 observations from Korean listed companies between 2018 and 2020, the study shows a positive association between pay disparity (coef = 0.034, p-value < 0.01) and investment inefficiency, with pay disparity increasing the level of investment inefficiency by fostering overinvestment. Furthermore, the study shows that the interaction term between pay disparity and quantitative (coef = –0.246, p-value < 0.01) and qualitative (coef = –2.104, p-value < 0.01) investments in internal control personnel is negative and significant, indicating that the positive link between pay disparity and investment inefficiency is lessened when there is a higher quantitative and qualitative investment in internal control personnel. By offering a more comprehensive understanding of the conflicting evidence about the impact of pay disparity and the role of investment in internal control personnel in moderating the negative effect of pay disparity on investment efficiency, this study contributes to the existing literature. The findings of the study suggest that companies aiming to minimize investment inefficiency should consider not only addressing pay disparity but also investing in internal control personnel.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81620961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-14DOI: 10.21511/imfi.20(2).2023.05
V. Ingalhalli, Prachi Kolamker
Although several studies on the integration of diverse stock markets have been conducted in the financial literature, most of them have focused on the integration and volatility spillovers across established stock markets. The present study explores the dynamics of integration and volatility spillover across gold, oil, forex, and stock markets during four significant events in India: the pre-changed government regime, the post-changed government regime, the post-Brexit referendum date, and the COVID era. Daily data from 2010 to 2022 is divided into four categories using the Chow test. This is done to examine if these events’ financial turmoil affects market interconnectivity. The unit root test determines data stationarity. The ARCH LM test examines series volatility clustering, and the BEKK GARCH test examines market volatility spillover. Results indicate that gold cannot be considered a hedge or safe haven. Secondly, market interconnectedness increased during the crisis period. Third, domestic political and geopolitical conditions globally do not increase the scale of spillover amongst financial assets, though they impact the spillover’s magnitude. The results of this study have several important implications for portfolio diversification and risk management.
{"title":"Modelling volatility effects between stock, oil, gold and forex markets: Evidence from India","authors":"V. Ingalhalli, Prachi Kolamker","doi":"10.21511/imfi.20(2).2023.05","DOIUrl":"https://doi.org/10.21511/imfi.20(2).2023.05","url":null,"abstract":"Although several studies on the integration of diverse stock markets have been conducted in the financial literature, most of them have focused on the integration and volatility spillovers across established stock markets. The present study explores the dynamics of integration and volatility spillover across gold, oil, forex, and stock markets during four significant events in India: the pre-changed government regime, the post-changed government regime, the post-Brexit referendum date, and the COVID era. Daily data from 2010 to 2022 is divided into four categories using the Chow test. This is done to examine if these events’ financial turmoil affects market interconnectivity. The unit root test determines data stationarity. The ARCH LM test examines series volatility clustering, and the BEKK GARCH test examines market volatility spillover. Results indicate that gold cannot be considered a hedge or safe haven. Secondly, market interconnectedness increased during the crisis period. Third, domestic political and geopolitical conditions globally do not increase the scale of spillover amongst financial assets, though they impact the spillover’s magnitude. The results of this study have several important implications for portfolio diversification and risk management.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82361836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-06DOI: 10.21511/imfi.20(2).2023.04
Farida Titik Kristanti, Zahra Safriza, Dwi Fitrizal Salim
Construction companies are very dependent on the projects carried out by a company. Therefore, measuring whether a company is distressed or non-distressed can be done by looking at the ratios derived from the components of the financial statements from both the balance sheet and the company’s profit and loss. This study offers a new method for measuring financial distress in companies with Artificial Neural Networks (ANN). The model provided comes from several financial ratios in 17 construction companies listed on the Indonesia Stock Exchange. The model is expected to produce the best model by showing the lowest prediction error rate. The results showed that the best ANN model has 25 inputs, 20 hidden layer neurons, and 1 best model output. The model obtained will be tested directly on the sample used; the results are that 6 construction companies in Indonesia have financial distress and 11 non-distress problems. This result proves that the best model obtained can predict the level of financial distress of companies with a small error rate to produce 6 companies identified as financially distressed. This result can be a warning for companies to increase revenue by adding new projects to get out of financial distress status. Traditional financial distress models such as Altman, Zmijewski, Springate, and Fulmer, which have become researchers’ guidelines for measuring financial distress, can be added to the ANN 25-20-1 model as a comparison to strengthen the research results.
{"title":"Are Indonesian construction companies financially distressed? A prediction using artificial neural networks","authors":"Farida Titik Kristanti, Zahra Safriza, Dwi Fitrizal Salim","doi":"10.21511/imfi.20(2).2023.04","DOIUrl":"https://doi.org/10.21511/imfi.20(2).2023.04","url":null,"abstract":"Construction companies are very dependent on the projects carried out by a company. Therefore, measuring whether a company is distressed or non-distressed can be done by looking at the ratios derived from the components of the financial statements from both the balance sheet and the company’s profit and loss. This study offers a new method for measuring financial distress in companies with Artificial Neural Networks (ANN). The model provided comes from several financial ratios in 17 construction companies listed on the Indonesia Stock Exchange. The model is expected to produce the best model by showing the lowest prediction error rate. The results showed that the best ANN model has 25 inputs, 20 hidden layer neurons, and 1 best model output. The model obtained will be tested directly on the sample used; the results are that 6 construction companies in Indonesia have financial distress and 11 non-distress problems. This result proves that the best model obtained can predict the level of financial distress of companies with a small error rate to produce 6 companies identified as financially distressed. This result can be a warning for companies to increase revenue by adding new projects to get out of financial distress status. Traditional financial distress models such as Altman, Zmijewski, Springate, and Fulmer, which have become researchers’ guidelines for measuring financial distress, can be added to the ANN 25-20-1 model as a comparison to strengthen the research results.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89036333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-04DOI: 10.21511/imfi.20(2).2023.03
Harikrishna Tadas, Jeevan Nagarkar, S. Malik, Dharmesh K. Mishra, Dipen Paul
The purpose of the study was to analyze the effectiveness of technical trading strategies in trading stocks of selected Indian companies represented in the Nifty 50 Index. The research was done using secondary data from January 2022 to August 2022. Hourly share prices of 14 largest companies as per market capitalization from 14 different sectors from the Nifty 50 Index were considered as a part of the study. Simple Moving Average, Exponential Moving Average – Relative Strength Index and Bollinger Bands – Relative Strength Index – strategies considered in the study. It was found that strategy based on Bollinger Bands and Relative Strength Index performed the best. Performance was considered with respect to both the number of stocks having a net profit and the number of stocks that were able to outperform the buy-and-hold strategy for the time period considered. The study considered several combined strategies and performance indicators, whereas previous studies used limited indicators. Out of the 14 stocks considered, the Simple Moving Average strategy was able to generate net profit for 8 stocks and it outperformed the buy-and-hold strategy for 6 stocks, Exponential Moving Average – Relative Strength Index strategy generated net profit for 6 stocks and it outperformed the buy-and-hold strategy for 5 stocks, and the Bollinger Bands – Relative Strength Index generated net profit for 11 stocks and it outperformed the buy-and-hold strategy for 10 stocks. The Bollinger Bands – Relative Strength Index strategy was able to outperform as it was more dynamic and entered and exited positions actively.
{"title":"The effectiveness of technical trading strategies: Evidence from Indian equity markets","authors":"Harikrishna Tadas, Jeevan Nagarkar, S. Malik, Dharmesh K. Mishra, Dipen Paul","doi":"10.21511/imfi.20(2).2023.03","DOIUrl":"https://doi.org/10.21511/imfi.20(2).2023.03","url":null,"abstract":"The purpose of the study was to analyze the effectiveness of technical trading strategies in trading stocks of selected Indian companies represented in the Nifty 50 Index. The research was done using secondary data from January 2022 to August 2022. Hourly share prices of 14 largest companies as per market capitalization from 14 different sectors from the Nifty 50 Index were considered as a part of the study. Simple Moving Average, Exponential Moving Average – Relative Strength Index and Bollinger Bands – Relative Strength Index – strategies considered in the study. It was found that strategy based on Bollinger Bands and Relative Strength Index performed the best. Performance was considered with respect to both the number of stocks having a net profit and the number of stocks that were able to outperform the buy-and-hold strategy for the time period considered. The study considered several combined strategies and performance indicators, whereas previous studies used limited indicators. Out of the 14 stocks considered, the Simple Moving Average strategy was able to generate net profit for 8 stocks and it outperformed the buy-and-hold strategy for 6 stocks, Exponential Moving Average – Relative Strength Index strategy generated net profit for 6 stocks and it outperformed the buy-and-hold strategy for 5 stocks, and the Bollinger Bands – Relative Strength Index generated net profit for 11 stocks and it outperformed the buy-and-hold strategy for 10 stocks. The Bollinger Bands – Relative Strength Index strategy was able to outperform as it was more dynamic and entered and exited positions actively.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85592565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-03DOI: 10.21511/imfi.20(2).2023.01
A. Plastun, I. Makarenko, L. Huliaieva, T. Guzenko, Iryna Shalyhina
This paper explores market efficiency in the Ukrainian stock market to determine whether there are differences between traditional and ESG indices. Different data properties related to market efficiency are explored: persistence (R/S analysis is used for these purposes), stationarity (ADF tests), normality (Kolmogorov-Smirnoff, Anderson-Darling test, etc.), resistance to market anomalies (Day of the week effect, abnormal returns and patterns they generate are tested using parametrical and non-parametrical statistical tests), etc. Database includes daily data from 2 conventional Ukrainian stock market indices (UX and PFTS) and ESG index (WIG Ukraine) over the period 2015–2022. The following hypothesis is tested in this paper: ESG indices are more efficient than traditional ones. The findings suggest that there are no significant differences between traditional and ESG indices: they have the same persistence, stationarity, do not fit normal distribution and are not influenced by explored market anomalies. So, despite the fact that companies listed in the ESG index are more transparent and thus characterized by lower information asymmetry, they are more liquid and popular among investors, ESG index is not more efficient than traditional ones. This might be the result of unfair practices called “washing” aimed at signaling the active ESG involvement with actual absence of it. This means that many ESG companies are actually traditional. To prevent such practices, the ESG reporting regulation needs to be revised. AcknowledgmentAlex Plastun gratefully acknowledges financial support from the Ministry of Education and Science of Ukraine (0121U100473).
{"title":"ESG vs conventional indices: Comparing efficiency in the Ukrainian stock market","authors":"A. Plastun, I. Makarenko, L. Huliaieva, T. Guzenko, Iryna Shalyhina","doi":"10.21511/imfi.20(2).2023.01","DOIUrl":"https://doi.org/10.21511/imfi.20(2).2023.01","url":null,"abstract":"This paper explores market efficiency in the Ukrainian stock market to determine whether there are differences between traditional and ESG indices. Different data properties related to market efficiency are explored: persistence (R/S analysis is used for these purposes), stationarity (ADF tests), normality (Kolmogorov-Smirnoff, Anderson-Darling test, etc.), resistance to market anomalies (Day of the week effect, abnormal returns and patterns they generate are tested using parametrical and non-parametrical statistical tests), etc. Database includes daily data from 2 conventional Ukrainian stock market indices (UX and PFTS) and ESG index (WIG Ukraine) over the period 2015–2022. The following hypothesis is tested in this paper: ESG indices are more efficient than traditional ones. The findings suggest that there are no significant differences between traditional and ESG indices: they have the same persistence, stationarity, do not fit normal distribution and are not influenced by explored market anomalies. So, despite the fact that companies listed in the ESG index are more transparent and thus characterized by lower information asymmetry, they are more liquid and popular among investors, ESG index is not more efficient than traditional ones. This might be the result of unfair practices called “washing” aimed at signaling the active ESG involvement with actual absence of it. This means that many ESG companies are actually traditional. To prevent such practices, the ESG reporting regulation needs to be revised.\u0000AcknowledgmentAlex Plastun gratefully acknowledges financial support from the Ministry of Education and Science of Ukraine (0121U100473).","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75754714","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}
Sharia fintech lending grew up at the teenage stage and has successfully taken a strategic place in the Indonesian loan market. Adopting the economics of information and signaling theory, this paper investigates the probability of successful crowdfunding. Using cross-section data, this study analyzes 1,153 funded projects on Ammana.id platform, a well-known Indonesia’s sharia P2P lending. This study runs OLS regressions to examine the effect of loan information (ranking, estimated profit shares, and financing duration) on the amount of crowded funding. This finding support both theories, that the information about the loan is a signal in determining the success of project funding. Ranking and duration of financing significantly affect the success of the P2P sharia lending platform, nevertheless profit share estimation is not significant. Loans that operated in short, tend to raise more funding, and vice versa. Loan ranking can provide the lender with instant information about the borrowers’ condition. Lenders tend to avoid low rankings loans due to the potential failure of loan payments. This study also found a surprising result that the coefficient of profit sharing is positive for Islamic funding but insignificant. This result shows that material gain is not the main issue for investors, but the elements of trust and justice are nobler according to Islamic beliefs. This study proves that loan information as a low-cost signal can be used by investors to make the best decision and reduce adverse selection problems. The findings support the strategic growth of Islamic platforms to build a sustainable Islamic investment and maintain financial stability. Acknowledgments Appreciation is given to the General Directorate of Higher Education, Research and Technology, Ministry of Education, Culture, Research and Technology, and the Institute for Research and Community Service of Universitas Islam Nahdlatul Ulama (Unisnu) Jepara, Indonesia.
Pub Date : 2023-03-31DOI: 10.21511/imfi.20(1).2023.28
Іryna Boiarko, L. Hrytsenko, O. Tverezovska, H. Saltykova, K. Kyrychenko
The purpose of the paper is to assess the war impact on the market value of the industrial complex enterprises of Ukraine. This is an important task for determining the investment needs to restore the Ukrainian economy, substantiating the reparations for Russia’s aggression against Ukraine, which should include the damage caused after the unleashing of a full-scale war from 24.02.2022 , and losses in the early phases of military aggression (after 22.02.2014).The author’s method of assessing the market value is based on the CVA concept. The war impact on the enterprises market value should be manifested through changes in the effects of exploitation and financing liabilities, which show a differentiated effect from changes in the internal and external business environment of enterprises in wartime. Estimates should be based on the possibility of both negative and positive effects. The main direction of the negative influence is the financing effect, which is due to the action of the external business environment factor. The Kane-Essian argument should be considered in the estimates by calculating normalized effect sizes.The normalized cumulative war impact equaled 165.1 billion dollars, which corresponds to 44.4% of the total market value of industrial enterprises of Ukraine, estimated for the period 2014–2022. About 14.4% of the total war impact on the market value of Ukraine’s industrial enterprises is attributed to the financing effect. Loss assessments can be used to evaluate the investment needs to restore destroyed and damaged business property. To determine the amount of compensation for damage caused by the war, the market value of an enterprise according to the CVA method can be used.
{"title":"War impact on the market value of the industrial complex enterprises of Ukraine","authors":"Іryna Boiarko, L. Hrytsenko, O. Tverezovska, H. Saltykova, K. Kyrychenko","doi":"10.21511/imfi.20(1).2023.28","DOIUrl":"https://doi.org/10.21511/imfi.20(1).2023.28","url":null,"abstract":"The purpose of the paper is to assess the war impact on the market value of the industrial complex enterprises of Ukraine. This is an important task for determining the investment needs to restore the Ukrainian economy, substantiating the reparations for Russia’s aggression against Ukraine, which should include the damage caused after the unleashing of a full-scale war from 24.02.2022 , and losses in the early phases of military aggression (after 22.02.2014).The author’s method of assessing the market value is based on the CVA concept. The war impact on the enterprises market value should be manifested through changes in the effects of exploitation and financing liabilities, which show a differentiated effect from changes in the internal and external business environment of enterprises in wartime. Estimates should be based on the possibility of both negative and positive effects. The main direction of the negative influence is the financing effect, which is due to the action of the external business environment factor. The Kane-Essian argument should be considered in the estimates by calculating normalized effect sizes.The normalized cumulative war impact equaled 165.1 billion dollars, which corresponds to 44.4% of the total market value of industrial enterprises of Ukraine, estimated for the period 2014–2022. About 14.4% of the total war impact on the market value of Ukraine’s industrial enterprises is attributed to the financing effect. Loss assessments can be used to evaluate the investment needs to restore destroyed and damaged business property. To determine the amount of compensation for damage caused by the war, the market value of an enterprise according to the CVA method can be used.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81982799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-28DOI: 10.21511/imfi.20(1).2023.27
Thabiso Sthembiso Msomi, Ka Muzombo Kandolo
Small and medium-sized enterprises (SMEs) have several critical challenges that threaten their capacity to survive and thrive. However, access and awareness to digital platform is fundamental to moderate the financial costs and develop financial productivity and sustain SMEs financially. Considering this, the purpose of this study is to get empirical information on the level of management awareness and usage of digital platforms in SMEs in South Africa. The methodological framework included a quantitative research strategy and positivist paradigm. Purposive sampling was utilized to collect data from 321 out of 700 SMEs owners, and the Cochran formula was used to explain the sample size. There were 321 surveys sent out, and 304 were filled out and returned (95% response rate). Descriptive analysis, Pearson’s correlation, and regression analyses from the Statistical Package for Social Sciences were used. The results of Pearson’s correlation coefficient establish a statistically significant relationship between access to digital finances and SME Sustainability (r = 0.334), as well as a statistically significant relationship between financial awareness and SME Sustainability (r = 0.549). The findings alert SMEs managers of the need to improve their digital platforms awareness in order to meet current financial demands and make better informed financial choices to improve company success. The results explain the advantages of trading using many digital platforms available in the country to improve the performance of their enterprises.
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