The study examined the mediating effect of corporate governance on the relationship between accounting information and stock market returns of listed entities on the Ghana Stock Exchange.The population of the study wa...The study examined the mediating effect of corporate governance on the relationship between accounting information and stock market returns of listed entities on the Ghana Stock Exchange.The population of the study was forty(40)listed entities from 2007-2019 with 520 firm-year observations.The study applied a panel regression model that takes unobserved individual heterogeneity and distributional heterogeneity into consideration.In addition,the study employed cross-section dependence test,Levin-Lin-Chu,ImPesaran,Pesaran,Kao,and Larsson cointegration test,fully modified ordinary least square(FMOLS),and dynamic ordinary least square(DOLS).The results of unit root test showed that all the variables are integrated at first difference.Moreover,the results of cointegration test revealed that accounting information variables were cointegrated in the long run.The result of FMOLS and DOLS further revealed that all the accounting information variables with the exception of OCFPS and NTA have a direct insignificant relationship with the stock market return.The study revealed that corporate governance which was proxied by board size also strengthens the relationship between TAT and stock market return and NTA and stock market return at 5%significant level under FMOLS and DOLS respectively.展开更多
The study examined the relationship between accounting information and stock market returns of listed financial entities on the Ghana Stock Exchange using board size as a mediating variable.The population of the study...The study examined the relationship between accounting information and stock market returns of listed financial entities on the Ghana Stock Exchange using board size as a mediating variable.The population of the study was 13 listed financial entities from 2007-2019 with 169 firm-year observations.This study applied a panel regression model that takes unobserved individual heterogeneity and distributional heterogeneity into consideration.In addition,the study employed cross-section dependence test;Levin-Lin-Chu(LLC),ImPesaran,Pesaran,Kao,and Larsson cointegration test;Fully Modified Ordinary Least Square(FMOLS)and Dynamic Ordinary Least Square(DOLS).The results of the unit root test showed that all the variables were integrated at first difference.Moreover,the results of cointegration test revealed that accounting information variables were cointegrated in the long run.The result of FMOLS and DOLS revealed that all the accounting information variables with the exception of operating cash flow per share(OCFPS)and net tangible assets(NTA)have a direct insignificant relationship with the stock market return of listed financial entities.The study revealed that board size strengthens the relationship between OCFPS and NTA,and stock market return at 5%significant level under FMOLS and DOLS of listed financial entities.展开更多
This study examines the relationship between positive and negative investor sentiments and stock market returns and volatility in Group of 20 countries using variousmethods, including panel regression with fixed effec...This study examines the relationship between positive and negative investor sentiments and stock market returns and volatility in Group of 20 countries using variousmethods, including panel regression with fixed effects, panel quantile regressions, apanel vector autoregression (PVAR) model, and country-specific regressions. We proxyfor negative and positive investor sentiments using the Google Search Volume Indexfor terms related to the coronavirus disease (COVID-19) and COVID-19 vaccine, respectively. Using weekly data from March 2020 to May 2021, we document significantrelationships between positive and negative investor sentiments and stock marketreturns and volatility. Specifically, an increase in positive investor sentiment leads toan increase in stock returns while negative investor sentiment decreases stock returnsat lower quantiles. The effect of investor sentiment on volatility is consistent acrossthe distribution: negative sentiment increases volatility, whereas positive sentimentreduces volatility. These results are robust as they are corroborated by Granger causalitytests and a PVAR model. The findings may have portfolio implications as they indicatethat proxies for positive and negative investor sentiments seem to be good predictorsof stock returns and volatility during the pandemic.展开更多
文摘The study examined the mediating effect of corporate governance on the relationship between accounting information and stock market returns of listed entities on the Ghana Stock Exchange.The population of the study was forty(40)listed entities from 2007-2019 with 520 firm-year observations.The study applied a panel regression model that takes unobserved individual heterogeneity and distributional heterogeneity into consideration.In addition,the study employed cross-section dependence test,Levin-Lin-Chu,ImPesaran,Pesaran,Kao,and Larsson cointegration test,fully modified ordinary least square(FMOLS),and dynamic ordinary least square(DOLS).The results of unit root test showed that all the variables are integrated at first difference.Moreover,the results of cointegration test revealed that accounting information variables were cointegrated in the long run.The result of FMOLS and DOLS further revealed that all the accounting information variables with the exception of OCFPS and NTA have a direct insignificant relationship with the stock market return.The study revealed that corporate governance which was proxied by board size also strengthens the relationship between TAT and stock market return and NTA and stock market return at 5%significant level under FMOLS and DOLS respectively.
文摘The study examined the relationship between accounting information and stock market returns of listed financial entities on the Ghana Stock Exchange using board size as a mediating variable.The population of the study was 13 listed financial entities from 2007-2019 with 169 firm-year observations.This study applied a panel regression model that takes unobserved individual heterogeneity and distributional heterogeneity into consideration.In addition,the study employed cross-section dependence test;Levin-Lin-Chu(LLC),ImPesaran,Pesaran,Kao,and Larsson cointegration test;Fully Modified Ordinary Least Square(FMOLS)and Dynamic Ordinary Least Square(DOLS).The results of the unit root test showed that all the variables were integrated at first difference.Moreover,the results of cointegration test revealed that accounting information variables were cointegrated in the long run.The result of FMOLS and DOLS revealed that all the accounting information variables with the exception of operating cash flow per share(OCFPS)and net tangible assets(NTA)have a direct insignificant relationship with the stock market return of listed financial entities.The study revealed that board size strengthens the relationship between OCFPS and NTA,and stock market return at 5%significant level under FMOLS and DOLS of listed financial entities.
文摘This study examines the relationship between positive and negative investor sentiments and stock market returns and volatility in Group of 20 countries using variousmethods, including panel regression with fixed effects, panel quantile regressions, apanel vector autoregression (PVAR) model, and country-specific regressions. We proxyfor negative and positive investor sentiments using the Google Search Volume Indexfor terms related to the coronavirus disease (COVID-19) and COVID-19 vaccine, respectively. Using weekly data from March 2020 to May 2021, we document significantrelationships between positive and negative investor sentiments and stock marketreturns and volatility. Specifically, an increase in positive investor sentiment leads toan increase in stock returns while negative investor sentiment decreases stock returnsat lower quantiles. The effect of investor sentiment on volatility is consistent acrossthe distribution: negative sentiment increases volatility, whereas positive sentimentreduces volatility. These results are robust as they are corroborated by Granger causalitytests and a PVAR model. The findings may have portfolio implications as they indicatethat proxies for positive and negative investor sentiments seem to be good predictorsof stock returns and volatility during the pandemic.