The researchers examined the abilities of past cash flows and past earnings in predicting future operating cash flows of Nigerian Money deposit banks. Ex-post facto design was used in conducting the study while sampling 13 out of the 14 deposit money banks listed on the Nigerian Stock Exchange from 2011 to 2016. The study employed Descriptive statistics, Pearson correlation and OLS regression techniques; where key findings revealed that past earnings has ability in predicting future operating cash flows than past cash flows. In addition the study revealed that disaggregation of earnings into net income and other comprehensive income generate superior explanatory power compared to total comprehensive income with regards to predicting future operating cash flows. Overall, this study provides evidence on the usefulness of earnings computed under IFRS to predict future cash flows of quoted deposit money banks in Nigeria.
This study was conducted to examine the influence of liquidity management on firm value of quoted manufacturing companies in Nigeria. This was premised on the fact that continuous existence of quoted manufacturing companies is guaranteed by the level of improvement in firm value, which may depend upon the level of liquidity management technique employed by managers. Have these techniques of liquidity management adopted by managers of quoted manufacturing companies in Nigeria influence firm value? Ex-post facto research design was employed for the study. Fortytwo (42) quoted companies were sampled out off a population of fifty-six (56) quoted listed on the floor of the Nigerian Stock Exchange (NSE) as at December 31, 2019. The independent variables for liquidity management were measured by current ratio (CRR), Quick Ratio (QR), Cash Ratio (CR) and Net Working Capital Ratio (NWCR), and Firm Value (AV) was the dependent variable panel date was sourced from the published financial reports of the sampled companies and analysed using Fixed effect regression technique. Results revealed that CRR, QR and NWCR had positive and significance influence on FV, CR had a positive and insignificant influence. It was recommended that managers of quoted companies should invest continuously on current assets for the purpose of raising liquidity and profitability which impacts on firm value.
The study examined three determinants of voluntary compliance in self-assessment system of tax administration in Akwa Ibom State, Nigeria. This was motivated by the growing need to increase tax revenues generation in developing countries the tax revenue as a ratio of Gross Domestic Product is below the global average and tax administration machinery has been ineffective. Data for the study were collected using a structured questionnaire from respondents registered with the state Board of Internal Revenue determined using Taro Yamene’s Statistical Formula. Descriptive and Regression Analyses were adopted for data treatment. The model summary reveals that 80.8% of the variation in Tax compliance is accounted for the variables of perception of equity and fairness, income level and level of education of the tax payers. The ANOVA Summary justifies that the independent variables have significant influence on tax compliance with f-calculated value of 233.763 being greater than the critical f-value of 0.308451 at P<0.05. The regression coefficient indicates a positive and significant relationship between perception of equity and fairness (0.260), level of education (0.103) and tax compliance. Income level (-0.055) has negative influence on tax compliance. It is recommended that tax authorities should evolve a framework that will motivate, control, sensitize and educate tax payers on voluntary compliance in Self-Assessment system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.