The aim of this paper is to analyze the liquidity levels of various banks in the UAE for the period 2005-2009. To understand the behavior of liquidity indicators especially during the financial crisis, the researcher will analyze the four liquidity indicators over the years 2005 to 2009. The findings highlight how the banks in question have been impacted by the 2007-2008 crisis. This can most obviously be seen in the notable decline of each of the banks liquidity level in 2009. The effect of loans to total assets, loans to customers’ deposit, and investment to total assets ratios for the five banks was most notable in 2009. Two liquidity ratios were analyzed in order to determine the banks’ ability to honor its debt obligations, these being loans to total assets and loans to customers respectively. The third ratio was the total equity to total assets to assess the liquidity level in the capital structure, while the fourth ratio was the investment to total assets to measure the managing of liquidity. While Bank liquidity was affected by the crisis, bank performance remained relatively stable, as measured by coefficient of variation, since these banks were able to yield more control over cash flows in comparison to revenues and costs.

Capital is coward, money tend to flee the markets during crises periods. In just few days after declaring Coronavirus as a pandemic by the World Health Organization (WHO), major stock markets lost more than 15% of their market capitalization. This study aims to examine the velocity of Coronavirus pandemic effect on major stock markets during the early stages of the pandemic. The study also examines whether or not there was any difference before and after the first confirmed Coronavirus case reported. Using the data on eleven major stock markets, results from this study shows that, out of the eleven markets under study, six markets showed no difference in mean return 30 trading days before and after reporting the first Coronavirus case in these countries. The results also showed that WHO announcement had a more impact on the stock markets performance than the announcements of local health authorities’ announcements. One interesting finding in this research is that there was an inverse relation between the distance of the stock market from Wuhan and the financial performance of that market.

Public debt is intended to bridge the gap between domestic savings and investment. This paper examines the effect of public debt on economic growth in Bangladesh using autoregressive distributed lag bound testing approach to cointegration. It finds a negative relationship between public debt and economic growth both in the short-run and the long-run. That is, a significant rise in the public debt in Bangladesh appears to be a burden for the economic growth controlling for other determinants of growth. The findings suggest that funds obtained through public debt are not utilized in the productive economic avenues which may improve the growth scenario in Bangladesh. Also, the adverse effect exerted by public debt may further be responsible for a reduction in investment and slower growth of capital stock, which eventually can hamper the labour productivity growth in the country in long run.

Network relationship is positively correlated with enterprise development and performance, which is an important basis for studying enterprise development and judging enterprise development situation. In this paper, complex network theory and methods are used to study enterprise network relationships. Based on graph theory, a graph model of enterprise network relationships is constructed, and the Laplacian matrix of the graph model is used to analyze important indicators of network relationships, relationship strength, stability, reciprocity, centrality and other indicators of numerical analysis methods.

The consequences of overconfidence affect many spheres of economic life. As yet, few factors are known that determine the extent of possible overconfidence. There are also few studies concerning the influence of positive and negative emotions on self-assessment. It has not yet been examined whether emotions can affect learning effects regarding self-assessment, wherefore the present study addresses this research question. In a real-effort-task experiment the participants are presented with tasks over the course of 5 rounds. After each round, they are asked to assess their own performance. They are then given feedback on their actual performance, thereby allowing for learning effects. Their mood is induced by positive (treatment “positive”), negative (treatment “negative”) and neutral (treatment “neutral”) movie clips. There are no significant differences in the three treatments regarding absolute and relative overconfidence. However, the participants’ moods differed with regard to the occurrence of learning effects. Obvious learning effects can be established in a neutral mood when examining absolute overconfidence. These learning effects cannot be detected in positive and negative moods.

This paper investigates the relationship between sons’ working age and their fathers’ income in Turkey. In addition, we investigated the relationship between sons’ occupations and fathers’ income in Turkey. It is a unique study because no such study has been previously conducted in Turkey, which is both a Muslim country and a developing country. Our data were acquired from the 2015 Income and Living Conditions Survey, which allows us to match the fathers and sons in the sample. Our results suggest that there is a strong relationship between a father’s income and his son’s age when he first becomes employed. In brief, wealthier sons begin working at an older age than do poorer sons. In addition, our results suggest that when a father’s income increases, the probability of his son having the same occupation as his father decreases. This suggests that wealthier sons have more opportunities available when choosing their occupations.

This paper aims to investigate the stability of money demand function for Saudi Arabian economy over the period of 2007:Q1-2018:Q4 by applying various structural break tests. The obtained results from the utilized tests reveal the stability of money demand function. The estimated money demand function also shows the impact of income on money demand is consistent with theory expectations in addition to the positive impact of exchange rate and interest rate on the demand for money. Moreover, the estimated error correction model indicates that money demand needs about 5 quarters to adjust to its equilibrium path in case it deviates from the steady state condition.

Monetary approach to balance of payment establishes a link between foreign reserve assets and money supply. This link is important for managing balance of payment disequilibrium through adjustment of monetary aggregates. This study relies on the (Polak, 1957;1997) monetary model with data from 2007:Q1 to 2018:Q4 to examine the link between monetary factors and balance of payment in Nigeria. To circumvent simultaneity, the reduced form coefficients of the structural form of the Polak model are estimated using Two Stage Least Squares (TSLS) technique, while the structural parameters are recovered from the estimated reduced form coefficients. The results are enriching and robust. The Johansen cointegration procedure suggests a long run relationship among the macroeconomic variables in the balance of payment function. The estimated balance of payment model reveals that domestic credit is statistically significant and negatively related to foreign reserve assets, implying that balance of payment is a monetary phenomenon in Nigeria. The velocity of money circulation and the marginal propensity to import are approximately 120 percent and 14 percent, respectively. The study therefore recommends that the monetary authority should consider the use of domestic credit for management of balance of payment disequilibrium. It is also pertinent to increase domestic credit to grow the economy since such action will marginally decrease external reserve assets through increase in import, however, the net effect will enhance the overall economy.

Monetary policy is an important public policy, but it is not the only one to stabilize our economy and reduce its business cycles. The leading central bank, the Federal Reserve of the U.S., has introduced, after the 2008 global financial crisis, new instruments and unusual facilities to implement its new innovative monetary policy. The financial world and mostly the social scientists watch as the Federal Open Market Committee (FOMC) decides on a target interest rate in the federal funds market for the next period. The framework that the FOMC uses to implement monetary policy has changed over the last twelve years and continues to evolve today. Here, we try to evaluate the new instruments and their “effectiveness”. Before the 2008 financial crisis, policymakers used one set of traditional instruments (tools) to achieve the target rate. However, several policy interventions, introduced soon after the crisis, drastically altered the landscape of the federal funds market and the traditional economic theory. This new and uncertain environment, with enormous reserves and even interest on reserves, necessitated a new set of instruments by the Fed for its monetary policy implementation. Lately, after seven years of zero interest rate, the FOMC began in December 2015 to increase the target rate and then, went back again to a lower one, but many questions arise. How did they evaluate the effectiveness of these new instruments? Is the current federal funds rate the appropriate one for our economic wellbeing? How efficient was so far this ZIR monetary policy after the latest global financial crisis? Why the Fed put all these burdens of its ‘innovated” new monetary policy to the poor taxpayers (bail out) and to the risk-averse depositors (bail in)? Is it possible for the Fed’s policy to prevent the future financial crises? The federal funds rate was very low and affected negatively the financial markets (bubbles were growing), the real rates of interest (it is negative for twelve years), and the deposit rates (they are closed to zero for twelve years). The redistribution of wealth of depositors and taxpayers continues, which means the true economic welfare is falling and a new global recession was in preparation, if the current unfair easy money policy will persist, ignoring the necessity of a prevention of financial crises. Then, it came as an unexpected plague the coronavirus pandemic, following with a new but, the worse in economic history global crisis (chaos).

The profitability of commercial banks is influenced by a number of internal and external factors. This paper attempts to identify the internal factors which significantly influence the profitability of commercial banks in Bangladesh. In this study, profitability is measured by ROA and ROE which may be significantly influenced by the internal factors such as IRS, NIM, CAR, CR, DG, LD, CTI and SIZE of the bank. Data are collected from published annual reports during 2014--2018 of 23 commercial banks. Using simple regression model, it is found that CR has significant effect on the profitability and CAR has significant influence on ROA only. In addition to this, DG has significant effects on PCBs’ profitability (ROE only) where as IRS and CTI have significant influence on profitability (ROA only) of ICBs. Further, none of these variables have significant effects on the profitability of SCBs but CAR and CR are correlated with profitability (ROA only) and the causes may be the nature of services provided by SCBs to its clients. The internal policy makers should manage the influential internal factors of the banks in order to increase their profitability so that they can meet stakeholders’ expectations.

This study assesses the effect of world oil price shocks on Uganda’s official development assis-tance using Structural Vector Autoregressive Model (SVAR). The results in this study show in-significant pass-through effect of world oil price shocks to Uganda’s Official Development As-sistance received in the period under the study. The policy implication in this study is that Offi-cial Development Assistance received by Uganda is independent of world oil price shocks.

Monetary policy is an important public policy, but it is not the only one to stabilize our economy and reduce its business cycles. The leading central bank, the Federal Reserve of the U.S., has introduced, after the 2008 global financial crisis, new instruments and unusual facilities to implement its new innovative monetary policy. The financial world and mostly the social scientists watch as the Federal Open Market Committee (FOMC) decides on a target interest rate in the federal funds market for the next period. The framework that the FOMC uses to implement monetary policy has changed over the last twelve years and continues to evolve today. Here, we try to evaluate the new instruments and their “effectiveness”. Before the 2008 financial crisis, policymakers used one set of traditional instruments (tools) to achieve the target rate. However, several policy interventions, introduced soon after the crisis, drastically altered the landscape of the federal funds market and the traditional economic theory. This new and uncertain environment, with enormous reserves and even interest on reserves, necessitated a new set of instruments by the Fed for its monetary policy implementation. Lately, after seven years of zero interest rate, the FOMC began in December 2015 to increase the target rate and then, went back again to a lower one, but many questions arise. How did they evaluate the effectiveness of these new instruments? Is the current federal funds rate the appropriate one for our economic wellbeing? How efficient was so far this ZIR monetary policy after the latest global financial crisis? Why the Fed put all these burdens of its ‘innovated” new monetary policy to the poor taxpayers (bail out) and to the risk-averse depositors (bail in)? Is it possible for the Fed’s policy to prevent the future financial crises? The federal funds rate was very low and affected negatively the financial markets (bubbles were growing), the real rates of interest (it is negative for twelve years), and the deposit rates (they are closed to zero for twelve years). The redistribution of wealth of depositors and taxpayers continues, which means the true economic welfare is falling and a new global recession was in preparation, if the current unfair easy money policy will persist, ignoring the necessity of a prevention of financial crises. Then, it came as an unexpected plague the coronavirus pandemic, following with a new but, the worse in economic history global crisis (chaos).

Capital is coward, money tend to flee the markets during crises periods. In just few days after declaring Coronavirus as a pandemic by the World Health Organization (WHO), major stock markets lost more than 15% of their market capitalization. This study aims to examine the velocity of Coronavirus pandemic effect on major stock markets during the early stages of the pandemic. The study also examines whether or not there was any difference before and after the first confirmed Coronavirus case reported. Using the data on eleven major stock markets, results from this study shows that, out of the eleven markets under study, six markets showed no difference in mean return 30 trading days before and after reporting the first Coronavirus case in these countries. The results also showed that WHO announcement had a more impact on the stock markets performance than the announcements of local health authorities’ announcements. One interesting finding in this research is that there was an inverse relation between the distance of the stock market from Wuhan and the financial performance of that market.

The aim of this paper is to analyze the liquidity levels of various banks in the UAE for the period 2005-2009. To understand the behavior of liquidity indicators especially during the financial crisis, the researcher will analyze the four liquidity indicators over the years 2005 to 2009. The findings highlight how the banks in question have been impacted by the 2007-2008 crisis. This can most obviously be seen in the notable decline of each of the banks liquidity level in 2009. The effect of loans to total assets, loans to customers’ deposit, and investment to total assets ratios for the five banks was most notable in 2009. Two liquidity ratios were analyzed in order to determine the banks’ ability to honor its debt obligations, these being loans to total assets and loans to customers respectively. The third ratio was the total equity to total assets to assess the liquidity level in the capital structure, while the fourth ratio was the investment to total assets to measure the managing of liquidity. While Bank liquidity was affected by the crisis, bank performance remained relatively stable, as measured by coefficient of variation, since these banks were able to yield more control over cash flows in comparison to revenues and costs.

Public debt is intended to bridge the gap between domestic savings and investment. This paper examines the effect of public debt on economic growth in Bangladesh using autoregressive distributed lag bound testing approach to cointegration. It finds a negative relationship between public debt and economic growth both in the short-run and the long-run. That is, a significant rise in the public debt in Bangladesh appears to be a burden for the economic growth controlling for other determinants of growth. The findings suggest that funds obtained through public debt are not utilized in the productive economic avenues which may improve the growth scenario in Bangladesh. Also, the adverse effect exerted by public debt may further be responsible for a reduction in investment and slower growth of capital stock, which eventually can hamper the labour productivity growth in the country in long run.

This paper scrutinizes Determinants of Capital Structure: A study on some selected corporate firms in Bangladesh. We have taken 10 out of 37 listed companies of DSE dividing into two sectors i.e. Pharmaceuticals and chemicals and Tannery sector, five years data from 2013 to 2017 has been collected from respective annual reports. Total number of observations was 50. There are different factors that affect a firms capital structure decision. We use leverage (D/E ratio) as dependent variable and independent variables are profitability, tangibility, tax, size, growth, non-debt tax shield (NDTS) and financial costs. By using Descriptive Statistical Analysis, Correlation Analysis and Regression Analysis tools we find that Tangibility, size, NDTS, and financial costs are positively related with leverage and Profitability, tax, and growth are negatively related with leverage. In our analysis we see profitability, tangibility of asset, growth and non-debt tax shield have significant association. So when we take capital structure decision of the above firms we should consider profitability, tangibility of asset, growth and non-debt tax shield because other independent variables are insignificant in the context of Bangladesh economy.

Organizational behaviour involves the design of work as well as the psychological, emotional and interpersonal behavioural dynamics that influence organizational performance. Management as a discipline concerned with the study of overseeing activities and supervising people to perform specific tasks is crucial in organizational behaviour and corporate effectiveness. Management emphasizes the design, implementation and arrangement of various administrative and organizational systems for corporate effectiveness. While the individuals, and groups bring their skills, knowledge, values, motives, and attitudes into the organization, and thereby influencing it, the organization, on the other hand, modifies or restructures the individuals and groups through its structure, culture, policies, politics, power, and procedures, and the roles expected to be played by the people in the organization. This study conducted through the exploratory research design involved 125 participants, and result showed strong positive relationship between the variables of interest. The study was never exhaustive due to limitations in terms of time and current relevant literature, therefore, further study could examine the relationship between personality characteristics and performance in the public sector, where productivity is not outstanding, when compared with the private sector. Based on the result of this investigation it was recommended that organizations should provide emotional intelligence programmes for their membership as an important pattern of increasing co-operative behaviours and corporate effectiveness.

This paper investigates the relationship between working capital management and financial performance of Pharmaceuticals and Textile firms listed at the Dhaka Securities Exchange in Bangladesh. The data analysis was carried on ten Pharmaceuticals and Textile firms for a period of 2013 to 2017. Secondary Data was analyzed by applying Descriptive Statistics, Regression and Correlation analysis to findthe relationship of current ratio, inventory conversion period and average payment period with Return on Asset. The findings indicate that the Pharmaceuticals and Textile firms’ performance is influenced by the variables relating to working capital. There is a positive relationship between profitability and current ratioand Inventory Turnover period shows a negative relationship with profitability but Average payment period shows insignificant impact on profitability. The study concludes that there exists a relationship between working capital managementand financial performance of Pharmaceuticals and Textile firms in Bangladesh. The study recommends that for the Pharmaceuticals and Textile firms to remain profitable, they should employ working capital management practice that will help in making decisions about investment mix and policy, matching investment to objective, asset allocation for institution and balancing risk against profitability.

The article illustrates the results of the economic development of the first fifteen years of the XXI century under the conditions of unprecedented economic freedom, globalization and the appearance of new informational sectors up to and including the first attempts at revising liberalism. The analysis of statistical data demonstrates an obvious increase in the percentage of well-off people in many countries as well as the increased economic capabilities of small, medium and large businesses, whose assets are distributed among an ever-increasing number of owners. This provides the impetus to review our collective approach to liberalization and globalization, as well as to view its unexpected strong sides that make human progress possible.

In recent times, agricultural sector has returned to the forefront of development issues in Nigeria given its contribution to employment creation, sustainable food supply and provision of raw materials to other sectors of the economy. In lieu of that, this study examines the impact of agriculture on the economic growth in Nigeria using annual time series data covering the sample period of 1981 to 2018. To analyse the data collected, Autoregression Distributed Lag (ARDL) model through the bounds testing framework is employed to measure the presence of cointegrating relations between real GDP, agricultural productivity, labour force, and agricultural export. Results show the presence of both short-run and long-run relationship among the variables, and that agriculture has a positive and significant impact on economic growth in Nigeria. These findings inform the Nigerian government on the need to expedite labour force (human capital) and agricultural export (non-oil) development with the view to achieving sustainable growth and development. In addition, developing skills and competencies of labour force through capacity building in the agricultural sector will encourage research and development thereby increase the export size, hence essential for long-term growth.

Applying the Arrow-Debreu-Mundell-Fleming model as an economic standard model, with combining axiological framework and epistemological model, it is proposed to analyze economic policies with using a synthetic model, where interest, exchange and tax rates are integrated together. Except normal monetary and fiscal policies mainly via interest and tax rates, there are feasible ways to utilize modified strategies via exchange and tax rates. When ones need to simulate national local market, ones can raise the exchange rate. Otherwise, when ones need to promote international global trade, ones may lower the exchange rate. It is found that tax reduction is good policy when tax rate is higher than normal and that tax increase is good social policy when tax rate is lower than normal, during economic depression. Also it is revealed that tax reduction is good social policy when tax rate is lower than normal, and that tax increase is good policy when tax rate is higher than normal, during economic overheat. While economic system seeks efficiency and social system pursues equality, common interest modifications with elastic exchange and tax rates could be applied for balancing efficiency and equality.

This paper investigates if forecasting models based on Machine Learning (ML) Algorithms are capable to predict intraday prices in the small, frontier stock market of Romania. The results show that this is indeed the case. Moreover, the prediction accuracy of the various models improves as the forecasting horizon increases. Overall, ML forecasting models are superior to the passive buy and hold strategy, as well as to a naïve strategy that always predicts the last known price action will continue. However, we also show that this superior predictive ability cannot be converted into “abnormal”, economically significant profits after considering transaction costs. This implies that intraday stock prices incorporate information within the accepted bounds of weak-form market efficiency, and cannot be “timed” even by sophisticated investors equipped with state of the art ML prediction models.

Using a series of econometric techniques, the study analysed interaction between monetary policy and private sector credit in Ghana. This study made use of monthly dataset spanning January 1999 to December 2019 of credit to the private sector (PSC) and broad money supply (M2). The results reveal that there exists cointegration, a long run stationary relation between monetary policy and private sector credit. This implies, increases in credit should prompt long-term increases in monetary policy. It is not surprising that growth in the private sector might have a stronger effect on monetary policy. The Error Correction Test is statistically significant and that all the variables demonstrate similar adjustment speeds. This implies that in the short run, both money supply and credit are somewhat equally responsive to their last period’s equilibrium error. There is unidirectional causation from private sector credit to monetary policy. It can be said that, there is an interaction between money supply and private sector credit. Thus, credit to private sector holds great potential in promoting economic growth. It can be recommended to the government to increase the credit flow to the private sector because of its strategic importance in creating and generating growth of the economy.

In Bangladesh, migrant worker’s remittances constitute one of the most significant sources of external finance. This paper investigates the existence of relation between remittance inflow and GDP and the causal link between them in Bangladesh by employing the Granger causality test under a VECM framework. Using time series data over a 38 year period, we found that growth in remittances does lead to economic growth in Bangladesh. In addition to the relationship, this paper also points out some issues that are working as impediments in getting remittance and give some recommendations to overcome those impediments.

In recent years, Vietnam has joined international intergration by strong export agreements of bilateral and multilateral; Vietnam’s merchandise export in 1995 was only US $5.4 billion, in 2018 Vietnam’s merchandise export increased by 45 times compared to 1995 with US $244 billion. Vietnam’s imports increased by 29 times in 2018 compared to 1995. This study is an attempt to test a method of estimating the influence of exports on several Supply-sidefactors such as production value, value added and imports through the expansion of the standard system W. Leontief I.O and Miyazawa-style economic-demographic relations. This study also tries to make an experiment in the “Leontief Paradox”.The result is that Vietnam’s export value spread to production and imports but spread low to added value, especially in the processing industry group’s fabrication. The study is based on the non-competitive I.O table in 2012 and 2018 with 16 sectors.

In the context of the 4.0 revolution, technology applications, especially cloud computing will have strong impacts on all areas, including accounting systems of enterprises. Cloud computing contributes to helping the enterprise accounting apparatus become compact, help automate the input process, improve the accuracy of the input data. Besides, the issur of accounting, reporting, risk control and information security also became better, contributing to improving the effectiveness of accounting. However, besides the positive impacts, businesses also face many difficulties in deploying and applying cloud computing. However, this application requirement will become an inevitable trend contributing to improving the operational efficiency of enterprises. To promote this process requires from the State as well as businesses themselves must have awareness and appropriate decisions. Breakthroughs in information technology have dramatically changed the accounting industry and the creation of financial statements. The Internet and the technologies that use the power of the Internet are playing an important role in the management and accounting activities of businesses - who always tend to be ready to receive and use public innovations technology in collecting, storing, processing and reporting information.

Equity investment financing is an innovative way of financing the real sector which has considerable developmental potential. The study empirically determined the effect of Equity investment financing on sustainable increase in productivity among agro-allied small businesses in South-South Nigeria. The instrument of data collection is the research questions structured in a five-point likert scale. The evaluation of the relationship between the dependent and independent variables was performed using the Ordinary Least Square regression technique. The study revealed that equity investment financing has a positive and significant effect on the sustainable productivity of businesses in Nigeria. The study recommended educating small business entrepreneurs on the benefits of equity financing as a viable option towards business growth and expansion and that the government through the various intervention agencies should restructure the long-term loan policies to give access to more growth-oriented agro-allied businesses, to increase their presently low capacity to procure heavy-duty technology to increase productivity and achieve food security in Nigeria. Small business owners should take advantage of the membership of cooperative societies and as well maintain good business relationships with suppliers; this will guarantee a continuous supply of needed materials and uninterrupted operations of the business.

This study seeks to evaluate the impact of public borrowing on economic growth in Nigeria using time series data from 1980 to 2018. Specifically, the study seeks to analyze the effect of domestic debt (proxy by Federal Government Bonds-FGB) and external debt (proxy by International Monetary Fund Loan-IMFL) on Nigerian’s Gross Domestic Product (GDP). To achieve this objective, secondary data was collected from the Central Bank of Nigeria Statistical bulleting and the Debt Management Office of Nigeria. A multiple regression model involving the dependent variable (GDP) and the independent variables (FGB and IMFL) was formulated and subjected to econometric analysis. These variables were adjusted with the Jarque-bera test of normality while the correlation result was used to check the possibility of multi-collinearity among the variables. The t-test was used to answer the research questions and test the formulated hypotheses at the 5percent statistical level. Results from the analysis show that a positive relationship exists between IMF Loan and Nigeria’s gross domestic product, while a negative relationship exists between FG Bonds and Nigeria’s gross domestic product, which violates the Keynesian theory of public debt. The study concludes that both domestic and external debt significantly affect economic growth in Nigeria. Therefore, it was recommended that public borrowing should be efficiently used and contracted solely for economic reasons and not for social or political reasons as this will help to avoid accumulation of debt stock over time.

This study assesses the effect of world oil price shocks on Uganda’s official development assis-tance using Structural Vector Autoregressive Model (SVAR). The results in this study show in-significant pass-through effect of world oil price shocks to Uganda’s Official Development As-sistance received in the period under the study. The policy implication in this study is that Offi-cial Development Assistance received by Uganda is independent of world oil price shocks.

Capital is coward, money tend to flee the markets during crises periods. In just few days after declaring Coronavirus as a pandemic by the World Health Organization (WHO), major stock markets lost more than 15% of their market capitalization. This study aims to examine the velocity of Coronavirus pandemic effect on major stock markets during the early stages of the pandemic. The study also examines whether or not there was any difference before and after the first confirmed Coronavirus case reported. Using the data on eleven major stock markets, results from this study shows that, out of the eleven markets under study, six markets showed no difference in mean return 30 trading days before and after reporting the first Coronavirus case in these countries. The results also showed that WHO announcement had a more impact on the stock markets performance than the announcements of local health authorities’ announcements. One interesting finding in this research is that there was an inverse relation between the distance of the stock market from Wuhan and the financial performance of that market.

This study examined the impact of financial innovation on money demand in Nigeria, using quarterly time series for the period 2009-2019. The dependent variable was money demand, represented by broad money, while the independent variable was financial innovation represented by modern payment channels such as volume of Automated Teller Machines (ATMs) transactions, volume of Point of Sales (POS) transactions, volume of Internet banking transactions, and volume of Mobile banking transactions. The study employed the ordinary least squares (OLS) regression technique as the estimation method within the cointegration, granger causality, and error correction modeling. The result obtained showed that financial innovation has mixed impact on money demand in Nigeria during the period of analysis. For instance, financial innovation has positive impact on money demand through volume of ATM transactions in the current period, two periods lagged of volume of mobile banking transactions, current period and one period lagged of volume of internet banking transactions, and current period’s volume of Point of Sales (POS) transactions in Nigeria. On the other hand, financial innovation has negative impact on money demand through one period lagged of volume of point of sales in Nigeria. On the stability of the demand for money function, the result of the stability tests based on the CUSUM test and CUSUM of squares test showed that the demand for money function was stable during the evaluation period. The study recommended that monetary policy strategy of the central bank of Nigeria (CBN) should be fine-tuned to ensure it is well suited to deal with the challenges posed by financial innovation by way of proliferation of sophisticated payment channels.

Equity financing is one of the sources of funding available to non-bank financial institutions which is quite prevalent in developed financial markets for small or start-up firms. This study empirically determined the effect of the Equity Financing Scheme on a sustainable increase in productivity of agro-allied small businesses in Nigeria. Data for this study were elicited through the use of a questionnaire structured in a five-point likert scale. The evaluation of the relationship between the dependent and independent variables was performed using the Ordinary Least Square regression technique. The study revealed that the equity financing scheme had a positive and significant effect on the sustainable productivity of agro-allied small businesses in South-South Nigeria. The study recommended that efforts should be made to educate the small business entrepreneurs on the benefits of equity financing as a viable option towards business growth and expansion and that the government through the various intervention agencies should restructure the long-term loan policies to give access to more growth-oriented agro-allied businesses, to increase their presently low capacity to procure heavy-duty technology to increase productivity and achieve food security in Nigeria. Small business owners should take advantage of the membership of cooperative societies and as well maintain good business relationships with suppliers; this will guarantee a continuous supply of needed materials and uninterrupted operations of the business.

This paper aims to explore the relationships of the performance of producer responsibility organizations (PROs) for waste oil, waste electrical and electronic equipment (WEEE), and end-of-life vehicles (ELV). The methodology consists in estimating the cointegration equations between the variables of lubricating oil production (SIG), electric and electronic equipment (EEE), and vehicle production (VP) using dynamic ordinary least squares (DOLS). Subsequently, elasticities are got based on estimates for Spain over the period 2007-2019 using quarterly data. The main results were that SIG and EEE were cointegrated variables. The elasticity of the SIG variable up to EEE was positive at 2, 4166. Additionally, the elasticity of the SIG variable up to VP was 2, 4050. However, SIG and VP are not cointegrated variables; subsequently, it was not a stable relationship between these variables. Results suggest it was because EPR was applied in WEEE PRO join with a deposit refund system (DRS); meanwhile, EPR in ELV PRO had been applied without subsidies to purchase cars.