Ľubomíra Gabániová, Katarína Čulková, Andrea Seˇnová
Sustainable development of the regions is presently an often discussed theme, mainly due to the worldwidesituation. The goal of the contribution is therefore to find regions in Slovakia and Ukraine that have the possibilityto have mutually advantageous ways of cooperation. The selection of the regions results from the comparison ofEuropean Union (EU) Member State’s situations and not EU Member State situations. The situation in the regionsis compared according to the regional gross domestic product per capita, the unemployment rate in the region andthe average monthly wage of employees in the regions. The results of the contribution show possible cooperationof the analyzed regions in business, mainly in the area of industrial production, with unemployment decreasing.The use of the results is in the area of finding strategies for improvement and cooperation.
{"title":"Comparison of business environment in the chosen regions","authors":"Ľubomíra Gabániová, Katarína Čulková, Andrea Seˇnová","doi":"10.54646/bijfmr.2023.13","DOIUrl":"https://doi.org/10.54646/bijfmr.2023.13","url":null,"abstract":"Sustainable development of the regions is presently an often discussed theme, mainly due to the worldwidesituation. The goal of the contribution is therefore to find regions in Slovakia and Ukraine that have the possibilityto have mutually advantageous ways of cooperation. The selection of the regions results from the comparison ofEuropean Union (EU) Member State’s situations and not EU Member State situations. The situation in the regionsis compared according to the regional gross domestic product per capita, the unemployment rate in the region andthe average monthly wage of employees in the regions. The results of the contribution show possible cooperationof the analyzed regions in business, mainly in the area of industrial production, with unemployment decreasing.The use of the results is in the area of finding strategies for improvement and cooperation.","PeriodicalId":432118,"journal":{"name":"BOHR International Journal of Finance and Market Research","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115177948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The study provides an empirical assessment of how institutions and trade liberalization affect Malawi’s economicexpansion. It tackles the absence of empirical research into how institutions affect economic growth and howtrade liberalization policy affects institutions’ influence on growth (interaction effect). The study also seeks tofind out if economic growth, however, affects institutions as theories differ on causality. The study uses a timeseries analysis and autoregressive distribution lag (ARDL) technique to obtain short-run and long-run results. Thestudy was conducted from 1988, the official inception year of trade liberalization in Malawi, to 2014. The empiricalresults show that political and economic institutions, as well as trade liberalization, affect Malawi’s economicgrowth in both the short term and the long term. Trade liberalization and political institutions negatively affecteconomic growth in the short run and long run, whereas economic institutions positively affect economic growthin the short run and long run. The findings also show that when strong economic institutions rather than strongpolitical institutions are present, the effect of trade liberalization on economic development is more prominent(positive). Finally, the study also finds that it is institutions that affect economic growth in Malawi and not the otherway around.
{"title":"Trade liberalization, institutions, and economic growthin Malawi","authors":"Hopkins Henry Kawaye","doi":"10.54646/bijfmr.2023.16","DOIUrl":"https://doi.org/10.54646/bijfmr.2023.16","url":null,"abstract":"The study provides an empirical assessment of how institutions and trade liberalization affect Malawi’s economicexpansion. It tackles the absence of empirical research into how institutions affect economic growth and howtrade liberalization policy affects institutions’ influence on growth (interaction effect). The study also seeks tofind out if economic growth, however, affects institutions as theories differ on causality. The study uses a timeseries analysis and autoregressive distribution lag (ARDL) technique to obtain short-run and long-run results. Thestudy was conducted from 1988, the official inception year of trade liberalization in Malawi, to 2014. The empiricalresults show that political and economic institutions, as well as trade liberalization, affect Malawi’s economicgrowth in both the short term and the long term. Trade liberalization and political institutions negatively affecteconomic growth in the short run and long run, whereas economic institutions positively affect economic growthin the short run and long run. The findings also show that when strong economic institutions rather than strongpolitical institutions are present, the effect of trade liberalization on economic development is more prominent(positive). Finally, the study also finds that it is institutions that affect economic growth in Malawi and not the otherway around.","PeriodicalId":432118,"journal":{"name":"BOHR International Journal of Finance and Market Research","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132634769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The COVID-19 pandemic has taught us the need to rethink towards future risk and possibly how to mitigate or deal with such risk. To do this, the right risk culture needs to be embedded into the organization’s setting. In recent times, there has been an increase in regulatory pressure for effective risk management governance and strategy. An inspiring risk governance and strategy will never be realized without the backing of a strong risk culture.Thispaperdiscussesriskculturewithinanorganizationandrethinkingriskcultureinapost-pandemicera.
{"title":"Rethinking Risk Culture in a Post-pandemic Era","authors":"Nii Ardey Tagoe","doi":"10.54646/bijfmr.010","DOIUrl":"https://doi.org/10.54646/bijfmr.010","url":null,"abstract":"The COVID-19 pandemic has taught us the need to rethink towards future risk and possibly how to mitigate or deal with such risk. To do this, the right risk culture needs to be embedded into the organization’s setting. In recent times, there has been an increase in regulatory pressure for effective risk management governance and strategy. An inspiring risk governance and strategy will never be realized without the backing of a strong risk culture.Thispaperdiscussesriskculturewithinanorganizationandrethinkingriskcultureinapost-pandemicera.","PeriodicalId":432118,"journal":{"name":"BOHR International Journal of Finance and Market Research","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124210121","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}
Neural network utilizes the huge amount of data for analysis and prediction. This paper predicts option prices and volatility using neutral network based on high frequency intraday data.We focus on short term prediction because option prices and volatility in fact are very volatile and almost impossible to predict. We find that neural network is able to predict option prices and volatility by using predictors constructed from the prices of option and its underlining index, especially in short term which is what practitioners care about more in practice.
{"title":"Predicting Option Prices and Volatility with High Frequency Data Using Neural Network","authors":"Huang Weige, Wang Hua","doi":"10.54646/bijfmr.011","DOIUrl":"https://doi.org/10.54646/bijfmr.011","url":null,"abstract":"Neural network utilizes the huge amount of data for analysis and prediction. This paper predicts option prices and volatility using neutral network based on high frequency intraday data.We focus on short term prediction because option prices and volatility in fact are very volatile and almost impossible to predict. We find that neural network is able to predict option prices and volatility by using predictors constructed from the prices of option and its underlining index, especially in short term which is what practitioners care about more in practice.","PeriodicalId":432118,"journal":{"name":"BOHR International Journal of Finance and Market Research","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132937492","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}
Messomo Elle Serge, Manetsa Eloge Lord, Dadem Kemgou Edouard Guilaire, Nuradh Joseph
The aim is to determine the short-term profitability of IPOs and to surrounding the evolution of this profitability on the middle/long run. Therefore, we used the raw initial returns and the adjusted initial returns methods to assess the short-term performance. We determined the long-term performance through the cumulative abnormal returns and the buy-and-hold abnormal returns, abnormal returns being adjusted to the market index and to the market model. By applying those methods to the eleven (11) IPOs’ made on the RSES from September 16th 1998 to December 31st 2011, we drawn two main conclusions. First of all, our results reveal that RSES’s IPOs present a great initial underpricing during this period and that, the adjustment of initial returns to market index negatively affected them. Then, the holding of these stocks on the middle/long run lead to their underperformance compared to the market portfolio. However, the long-term performance with buy-and-hold abnormal returns (BHARs) is less deteriorated than the one with cumulative abnormal returns (CARs). Those results imply that, buying IPOs at the offer price is profitable to investors in the short run and the holding of those stocks in the middle and long run must be done through the buy-and-hold investment strategy.
{"title":"Emerging Stock Markets and Performance of IPOs: An Application to the Regional Stock Exchange (RSES)","authors":"Messomo Elle Serge, Manetsa Eloge Lord, Dadem Kemgou Edouard Guilaire, Nuradh Joseph","doi":"10.54646/bijfmr.005","DOIUrl":"https://doi.org/10.54646/bijfmr.005","url":null,"abstract":"The aim is to determine the short-term profitability of IPOs and to surrounding the evolution of this profitability on the middle/long run. Therefore, we used the raw initial returns and the adjusted initial returns methods to assess the short-term performance. We determined the long-term performance through the cumulative abnormal returns and the buy-and-hold abnormal returns, abnormal returns being adjusted to the market index and to the market model. By applying those methods to the eleven (11) IPOs’ made on the RSES from September 16th 1998 to December 31st 2011, we drawn two main conclusions. First of all, our results reveal that RSES’s IPOs present a great initial underpricing during this period and that, the adjustment of initial returns to market index negatively affected them. Then, the holding of these stocks on the middle/long run lead to their underperformance compared to the market portfolio. However, the long-term performance with buy-and-hold abnormal returns (BHARs) is less deteriorated than the one with cumulative abnormal returns (CARs). Those results imply that, buying IPOs at the offer price is profitable to investors in the short run and the holding of those stocks in the middle and long run must be done through the buy-and-hold investment strategy.","PeriodicalId":432118,"journal":{"name":"BOHR International Journal of Finance and Market Research","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129475770","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}
India is a young, human-resources-rich nation. With regard to our country’s economic growth, India continues to lag behind due to various issues such as homelessness, unemployment, analphabetism, infrastructure for medical care, etc. Youth play a crucial role in the country’s economic growth. The Green Skill Development Programme (GSDP) of the Ministry of Environment, Forests, and Climate Change (MoEF & CC) is an environmental and forestry skills development initiative to encourage young people in India to procure employment and/or self-employment. The system aims to develop long-term workers who are technically skilled and committed to sustainability. In June 2017, the GSDP pilot project was launched. In the current situation, it has been discovered that the majority of young people being trained face a severe labor shortage due to a lack of skills and technical knowledge. Most of them do not know what is happening with today’s technology. Attempts to supply sustainability skills are made through the GSDP, which are also known as “green skills.” These are the skill sets, expertise, values, and attitudes that the workers need to develop and foster sustainable social, ecological, and economic conditions in business, industry, and the community. Such companies favor workers who possess green skills to achieve their mission. In this study, an effort is made to define the primary green skills sought by the green sector, determine how successful the GSDPs have been, and identify the foremost challenges experienced by the youth in participating in the government-sponsored GSDPs.
{"title":"An Empirical Study on the Green Skill Development Programme and its Inclusiveness in Green Industries for Effective Green Marketing and Sustainable Development: Key Success Factors and Challenges","authors":"D. Mallika, Raja Jebasingh D","doi":"10.54646/bijfmr.017","DOIUrl":"https://doi.org/10.54646/bijfmr.017","url":null,"abstract":"India is a young, human-resources-rich nation. With regard to our country’s economic growth, India continues to lag behind due to various issues such as homelessness, unemployment, analphabetism, infrastructure for medical care, etc. Youth play a crucial role in the country’s economic growth. The Green Skill Development Programme (GSDP) of the Ministry of Environment, Forests, and Climate Change (MoEF & CC) is an environmental and forestry skills development initiative to encourage young people in India to procure employment and/or self-employment. The system aims to develop long-term workers who are technically skilled and committed to sustainability. In June 2017, the GSDP pilot project was launched. In the current situation, it has been discovered that the majority of young people being trained face a severe labor shortage due to a lack of skills and technical knowledge. Most of them do not know what is happening with today’s technology. Attempts to supply sustainability skills are made through the GSDP, which are also known as “green skills.” These are the skill sets, expertise, values, and attitudes that the workers need to develop and foster sustainable social, ecological, and economic conditions in business, industry, and the community. Such companies favor workers who possess green skills to achieve their mission. In this study, an effort is made to define the primary green skills sought by the green sector, determine how successful the GSDPs have been, and identify the foremost challenges experienced by the youth in participating in the government-sponsored GSDPs.","PeriodicalId":432118,"journal":{"name":"BOHR International Journal of Finance and Market Research","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124336063","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 critically examined the impact of artificial intelligence on accounting practice in the Nigerian banking industry. To attain the objectives of the study, a regression and correction model comprising independent variables (automation process, expert system, and intelligent agent) and dependent variables (accounting practice) was specified for the study. The data for this study were obtained from a primary source where a survey was carried out on banking industries in Nigeria; 133 respondents were chosen as the sample size, of which 128 were returned. The data were analyzed using regression method of inferential statistics to test the significance of hypotheses using the t-statistics of co-efficient with the generated p-values. The findings revealed that all three variables (automation process, expect system, and intelligent agent) have a significant effect on accounting practice in deposit money banks (DMBs) industries in Nigeria. Therefore, the conclusion is that artificial intelligence enhances accounting practice in selected DMBs industries in Nigeria. It was recommended that banking industries and accountants, by improving their knowledge of artificial intelligence and enhancing their performance, will be able to eliminate some unwanted accounting costs.
{"title":"Artificial intelligence and accounting practice in Nigerian banking industry","authors":"Ibukun Olukunle, Foluke Rachael","doi":"10.54646/bijfmr.2023.23","DOIUrl":"https://doi.org/10.54646/bijfmr.2023.23","url":null,"abstract":"This study critically examined the impact of artificial intelligence on accounting practice in the Nigerian banking industry. To attain the objectives of the study, a regression and correction model comprising independent variables (automation process, expert system, and intelligent agent) and dependent variables (accounting practice) was specified for the study. The data for this study were obtained from a primary source where a survey was carried out on banking industries in Nigeria; 133 respondents were chosen as the sample size, of which 128 were returned. The data were analyzed using regression method of inferential statistics to test the significance of hypotheses using the t-statistics of co-efficient with the generated p-values. The findings revealed that all three variables (automation process, expect system, and intelligent agent) have a significant effect on accounting practice in deposit money banks (DMBs) industries in Nigeria. Therefore, the conclusion is that artificial intelligence enhances accounting practice in selected DMBs industries in Nigeria. It was recommended that banking industries and accountants, by improving their knowledge of artificial intelligence and enhancing their performance, will be able to eliminate some unwanted accounting costs.","PeriodicalId":432118,"journal":{"name":"BOHR International Journal of Finance and Market Research","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116132639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The growth of rapid financial technology (fintech) is expected to contribute more than 12% of compound annual growth rate (CAGR) to the economy. India is gradually becoming the hub for many prominent fintech startups such as Paytm, Pine Labs, PayU, Razorpay, and others. However, as per the survey by Financial Express, only 27% of Indians are financially literate. This article investigates the factors that influence the millennial generation and their financial literacy and the relationship between their knowledge, their objectives, their outlook, and their behavior toward the use of fintech applications. The questionnaire is used to gather the main data. Chisquared analysis was used to test the hypotheses, and correspondence analysis was used to determine the characteristics of the millennial generation and visually demonstrate the discrepancy.
{"title":"Millennium Generation Financial Literacy and Fintech Awareness","authors":"U. Amaleshwari, R. Jeevitha","doi":"10.54646/bijfmr.019","DOIUrl":"https://doi.org/10.54646/bijfmr.019","url":null,"abstract":"The growth of rapid financial technology (fintech) is expected to contribute more than 12% of compound annual growth rate (CAGR) to the economy. India is gradually becoming the hub for many prominent fintech startups such as Paytm, Pine Labs, PayU, Razorpay, and others. However, as per the survey by Financial Express, only 27% of Indians are financially literate. This article investigates the factors that influence the millennial generation and their financial literacy and the relationship between their knowledge, their objectives, their outlook, and their behavior toward the use of fintech applications. The questionnaire is used to gather the main data. Chisquared analysis was used to test the hypotheses, and correspondence analysis was used to determine the characteristics of the millennial generation and visually demonstrate the discrepancy.","PeriodicalId":432118,"journal":{"name":"BOHR International Journal of Finance and Market Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125189661","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}
We have used a multiple regression model to identify the impacts of the variables of credit risk managementon the Nigerian deposit money banks’ performance from 2000 to 2020. The estimation was completed usingthe ordinary least squares method with E-Views 12. The data was sourced from the Nigerian Stock Exchange forinformation and theStatistical Bulletinof the Central Bank of Nigeria. The outcome determined that return on equity(ROE) is negatively correlated with the nonperforming loan/loan and advances ratio. Last but not least, the ROEmeasurements of the deposit money banks in Nigeria show a substantial correlation between the ratios of advancesand loans to nonperforming loans, loan loss provision to loans and advances, and capital adequacy. These ratiosare positively correlated with each other and negatively correlated with the capital adequacy ratio. We adviseeffective surveillance of pre- and post-deposit financial institution loans for the early detection of problematic debtsthat won’t be repaid according to schedule and for the thorough analysis of prospective projects as indicated inthe financial statement given by the intended client (cash budget, income statement). Accurate identification ofrealistic projects and repayment terms based on the customer’s past performance will be achieved.
{"title":"Credit risk management and the performance of Nigeriandeposit money banks","authors":"P. O. O. Nwala, J. Ndubuisi, P. I. Wachukwu","doi":"10.54646/bijfmr.2023.15","DOIUrl":"https://doi.org/10.54646/bijfmr.2023.15","url":null,"abstract":"We have used a multiple regression model to identify the impacts of the variables of credit risk managementon the Nigerian deposit money banks’ performance from 2000 to 2020. The estimation was completed usingthe ordinary least squares method with E-Views 12. The data was sourced from the Nigerian Stock Exchange forinformation and theStatistical Bulletinof the Central Bank of Nigeria. The outcome determined that return on equity(ROE) is negatively correlated with the nonperforming loan/loan and advances ratio. Last but not least, the ROEmeasurements of the deposit money banks in Nigeria show a substantial correlation between the ratios of advancesand loans to nonperforming loans, loan loss provision to loans and advances, and capital adequacy. These ratiosare positively correlated with each other and negatively correlated with the capital adequacy ratio. We adviseeffective surveillance of pre- and post-deposit financial institution loans for the early detection of problematic debtsthat won’t be repaid according to schedule and for the thorough analysis of prospective projects as indicated inthe financial statement given by the intended client (cash budget, income statement). Accurate identification ofrealistic projects and repayment terms based on the customer’s past performance will be achieved.","PeriodicalId":432118,"journal":{"name":"BOHR International Journal of Finance and Market Research","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121397562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Granger causality model is used in the current study to analyze the short-run cause–effect relationship between two stock market indices between 2001 and 2021 using time series data of the daily closing prices of the BSE Sensex and S&P 500 indices listed in the Indian and US stock markets, respectively. The Granger causality model and the augmented Dickey–Fuller test for data stationarity were used in the study to examine the short-term causal link between two market indices during the time period. The outcomes demonstrated the connection between the Indian and US stock markets. The findings imply that both markets have a dynamic, bidirectional relationship. This study provides the investor’s essential inputs for investment decision-making and portfolio diversification. In the current era of globalization, the study is crucial because investors and fund managers now place a high priority on stock market integration. Through fund diversification across equity markets, this study subsequently makes it easier to reduce portfolio risk by providing useful insights on diversification strategies across the stock markets.
{"title":"Interdependency Between Indian and US Market Indices: A Granger Causality Approach","authors":"Sachit Paliwal, Shipra Saxena","doi":"10.54646/bijfmr.018","DOIUrl":"https://doi.org/10.54646/bijfmr.018","url":null,"abstract":"The Granger causality model is used in the current study to analyze the short-run cause–effect relationship between two stock market indices between 2001 and 2021 using time series data of the daily closing prices of the BSE Sensex and S&P 500 indices listed in the Indian and US stock markets, respectively. The Granger causality model and the augmented Dickey–Fuller test for data stationarity were used in the study to examine the short-term causal link between two market indices during the time period. The outcomes demonstrated the connection between the Indian and US stock markets. The findings imply that both markets have a dynamic, bidirectional relationship. This study provides the investor’s essential inputs for investment decision-making and portfolio diversification. In the current era of globalization, the study is crucial because investors and fund managers now place a high priority on stock market integration. Through fund diversification across equity markets, this study subsequently makes it easier to reduce portfolio risk by providing useful insights on diversification strategies across the stock markets.","PeriodicalId":432118,"journal":{"name":"BOHR International Journal of Finance and Market Research","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128003718","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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