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This study sought to establish the influence of fraud risk management practices in regard to preventive, detective and corrective controls on the level of fraud occurrence on listed firms in Kenya. This is because limited research had been conducted in the context of listed firms in Kenya and limited attention paid on how corrective controls influences fraud occurrence. A causal research design was applied. Data was obtained from a sample of 275 senior managers by using structured questionnaires. The findings revealed that only preventive and corrective controls had a profound negative effect on the degree of fraud occurrence on listed companies in Kenya. Conversely, detective controls did not considerably reduce fraud occurrence on listed companies in Kenya. The key implication of the findings noted by this study is that the proper implication of the most effectual anti-fraud measures can only be realized when the management are committed to do so. Additionally, corrective controls must be seriously looked into as an effective strategy of curbing fraud since they indeed are instrumental in curbing fraud. Future studies should be extended to the public sector in regard to the government ministries and the distinctive partitions of the private sector such as the insurance, real estate, manufacturing, automobile sectors among others respectively. Moreover, future studies can explore how firm size in terms of asset size or employee size moderates the relationship between fraud risk management practices and the level of fraud occurrence.

Using a large sample of U.S. firms during 1987–2011, we find robust evidence that the issuance of seasoned equity is associated with abnormally high future stock price crash risk. The association between seasoned equity offerings and crash risk is stronger among offerings that involve the sale of secondary shares (existing shares sold by insiders or large blockholders). We also find that recent seasoned equity issuers are far less likely to experience sudden positive price jumps relative to firms that have not recently issued equity. Our findings of elevated crash risk and diminished jump risk, when taken together, are consistent with a heightened propensity for firms to hoard bad news but not good news when issuing equity.

The purpose of this research paper is to extensively investigate and examine the effect of the CAMEL model variables on the profitability and financial soundness of the thirteen Jordanian commercial banks for the period of 2013 to 2019, the primary data were collected from the published audited financial reports of the Jordanian commercial banks. The study uses CAMEL model variables of Capital adequacy, Asset Quality, Management efficiency, Earnings ability, and Liquidity management to rank banks as per their overall performance and measuring their effect on banks’ profitability measures of Return on Assets and Return on Equity separately through applying the fixed effect regression model. It is concluded that the ranking approach shows that Bank of Jordan was in the top position followed by the Capital Bank of Jordan. Jordan Ahli Bank was in the lowest rank in most positions. Furthermore, the empirical results indicates that Non-Interest Income to Total Assets and Net Interest Income to Total Loans and Advances have significant positive relationships with both profitability measures whereas cost to Total Income and Non-Interest Income to Total Assets have strong negative relationships with the profitability measures. In addition, Equity to Total Assets has strong negative relationship with ROE. The study suggests that Jordanian commercial banks can improve their profitability through the concentration on main activities, efficiently managing their capital adequacy, maintaining high quality level of lending policy, and utilization of full assets. Additionally, the current study recommends conducting more studies on banks’ performance determinants with an expanded scope and using more financial models besides the CAMEL model.

The importance of Savings and Credit Cooperatives (SACCOs) cannot be underestimated. Despite their importance, they are faced with numerous challenges among them financial distress which threatens their very existence. The current research sought to establish the role of board characteristics in the financial distress suffered by Deposit Taking SACCOs in Nairobi County. The study is anchored inter alia on Agency Theory. Descriptive research design was adopted while Nairobi County was purposively chosen and a census was carried out on deposit taking SACCOs in the county. Secondary data was collected from SASRA using a data collection sheet and a panel data analysis performed using STATA software. The findings were presented using tables. The study concluded that there was a relationship between board characteristics and financial distress of Deposit Taking SACCOs where board composition, board education and board tenure have statistically significant and negative influence on financial distress. In conclusion SACCOs need to have lean boards, Board composition should also be improved by including more women on boards, there should be more inclusion of members with high and relevant education credentials, and SACCOs should have term limits for their members while an analysis too based on the Altman’s Z score models should be adopted for SACCOs. Another research may be carried out to establish other factors causing financial distress and how to turn around the SACCOs already in distress.

As an industry that has an important role for other industrial sectors, the plastic and packaging industry is the supply chain for consumer products. Behind the high industrial growth and the potential is still large, there are problems with plastic waste, consumption power, and changes in people's lifestyles that can affect the growth of the plastic and packaging industry. This study aims to determine how much impact the NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) on Profit Growth in the plastic and packaging industry sub-sector companies listed in IDX (Indonesia Stock Exchange) for the period 2014 to 2018. The method used in this study is a quantitative descriptive. The sampling technique used was purposive sampling in order to obtain a sample of 11 companies from a population of 12 companies. In the study the method of data analysis used the multiple linear regression analysis techniques by processing data using Eviews 8, because the data is not normally distributed, it uses the log transformation method. The results showed that simultaneously NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) had a significant effect on profit growth. And partially NPM (Net Profit Margin) has a significant effect on profit growth, while GPM (Gross Profit Margin) and TAT (Total Assets Turnover) have no significant effect on profit growth.

This study focused on sales-orientation and customer-orientation of Direct Sales Executives (DSEs) on sales performance at Fidelity Bank, Ghana; which was a cross-sectional study. Data were analysed using descriptive statistics, Kendall’s coefficient of concordance, cross tabulation and chi-squared test of independence. The result showed a strong association between prior sales experience and employment status. DSEs customer orientation was influenced by customer information while the sales orientation was on convincing customers to buy. The customer-oriented culture was based on reliable market and customer information. DSEs sales performance were influenced by complete knowledge of the bank’s products and services, listening skills and empathy. The study suggests that Fidelity Bank must sensitize its DSEs on the bank philosophy on its customer orientation culture. This study appears to be the first of its kind to explore the connection between sales orientation and customer orientation on performance in the Banking Industry in Ghana, thus providing empirical evidence for academics and practitioners.

Short-term debt is regarded as an important source of financing for Small and Medium-sized enterprises (SMEs). This is because it can be easily accessed and useful during times of emergent working capital shortage. However, short-term debt is the least researched among the components of capital structure, which explains why its contribution to the financial performance of small and medium-sized businesses still lacks empirical validation especially in the Ugandan context. This paper sought to determine the effect of short-term debt on financial performance of Small and Medium Enterprises in Uganda. The study adopted a descriptive cross-sectional research design to collect and analyse the data. Stratified random sampling technique was used to select SMEs while purposive sampling technique was used to select one key respondent from each of the sampled 453 SMEs in Uganda. Primary data was collected using survey questionnaire. Data was analysed using descriptive statistics and simple linear regression analysis. The findings indicted that short-term debt had a negative and significant effect on financial performance of SMEs as measured by return on assets. The study provides empirical evidence to support the propositions in the extant literature that short-term debt significantly hampers financial performance of SMEs. The study recommends that SMEs should adopt low cost operation procedures to improve profitability. This would lead to accumulated profits that can be used for investment purposes as a means of driving growth among the SMEs without resorting to borrowing. This paper suggests that further research should be conducted to establish the justification for the negative and significant effect of short-term debt on financial performance using qualitative approaches.

Renewable energy investment has been underexploited in Africa and Kenya in specific due to financing constraints arising from investor’s negative perception of the regions high investment risk and low creditworthiness which retards the degree of private capital penetration. The purpose of the study was to assess the extent to which Credit enhancement influence performance of hydroelectric energy projects in Kenya. The study was underpinned on pragmatism paradigm which allows the use of mixed method approach and descriptive correlational survey research design. Structured questionnaires and interview guide were used to collect quantitative and qualitative data from a sample size of 94 participants out of a target population of 94 subjects. Validity test was done on the instruments and a coefficient of 0.775 obtained using Content Validity Index while reliability involved pretesting of the instruments amongst the 10% of the participants and Cronbach's alpha coefficient of 0.781 obtained. Analysis was done using both descriptive statistic of mean and standard deviation and inferential statistic of Correlation and Regression at a significance level of 0.05 with the aid of SPSS version 25 and thematic content analysis of qualitative data for triangulation. Simple linear regression and Pearson Correlation Coefficient models were used to determine the influence between independent and dependent variable and the result H0: Credit enhancement does not significantly influence performance of hydroelectric energy projects in Kenya was rejected since P=0.000<0.05.Therefore the study concluded that there is significant influence of credit enhancement on performance of hydroelectric energy projects in Kenya. It is recommended that Project management and policy makers should integrate appropriate credit enhancement instruments to improve performance of hydroelectric energy projects besides developing targeted policies for strengthening implementation of the credit enhancement instruments to boost investors and lenders confidence. Further research should be carried out on the determinants influencing effective utilization of credit enhancement in power projects in Kenya.

This paper researches the impact that shadow banking in China has upon credit creation and the potential effectiveness of monetary policy. Using a credit creation model, we derive the effect that shadow banking has upon the money multiplier and the money supply. The model shows that shadow banking can change the money multiplier, potentially increasing it during an expansion and decreasing it during a contraction. Introducing shadow banking in a CC-LM model results in a shift of the CC and LM curves resulting in a higher equilibrium output. A vector autoregressive model is used to empirically estimate the impact of shadow banking deposits' growth rate on the growth rates of the broad money supply, GDP, and the CPI. The results show that shadow banking's credit creation function in China has a pro-cyclical characteristic, potentially reducing the money supply's controllability and increasing the difficulty in effectively regulating monetary policy. This paper introduces shadow banking into the currency creation process of traditional commercial banks, accounting for the reserve requirement ratio, the excess reserve ratio, the shadow bank leakage rate, and the reserved deduction rate. Future research can determine whether coordinating monetary policy and leverage ratio regulation mitigates the impact of shadow banking. Another area of research is how the shadow banking of non-financial companies affect monetary policy.

Financial institutions and banks are required to follow mechanisms to monitor the positions and create stimulas for sensible risk-taking by divisions a well as individuals. Risk measurement comprises of the quantification of risk exposures, whereas risk management demonstrates to the overall procedures by which managers fulfill these needs to identify the risks and recognise the category of the risks it faces. This research targerts on the economic instability faced by banks in financial arena in terms of the crises affairs in regard of economic distress. Here, the methodology followed is based on the CAMELS framework variables. CAMELS is a short form stands for: capital adequacy (C), asset (A), management (M), earnings (E), liquidity (L) and sensitivity to market risk (S). Based on these nomenclature, a couple of variables should be selected, such as capital asset ratio, cost income ratio, non-performing loan, non-interest income as component series and return on asset (ROA) as the reference series to identify turning points of economic volatility in banking sector of Bangladesh. Thus, by forecasting the directional deviations it could make financial policymakers aware of the changes at early stage in financial markets and banking industry and privilege them to undertake precautionary steps for preventive purposes. The constructed MPI should have a incredible lead time of about 5 to 7 months on an average in case of prediction against leading for the reference series. By renovating financial efficacy of venture banks, Bangladesh also should recover their subsequent banking system to execute these suggestions.

In perspective of the economic vulnerability faced by banks in financial sector, this study mirrors the methodology used by Shumway (2001) – the dynamic hazard model that is able to forecast systemic risk in financial market arena. Here, the terminology followed is based on the CAMELS framework variables: capital adequacy, asset, management, earnings, liquidity and sensitivity to market risk. The objective of this study is to construct a macroprudential indicator (MPI) for the case of Bangladeshi financial market. The result will then be tested for robustness with macro-stress test. Lagged independent variables will be used in the simple hazard model to allow early prediction of MPI in the year in which the crisis happens. The empirical findings can be used as a guideline for the Bangladesh Government and policy makers in accessing, examining and forecasting the health of the Bangladeshi financial system and formulate suitable financial system policies for control. MPI generates information about systemic risk allowing the detection of potential economic crises functioning as an early warning indicator. Government and policy makers will be able to make early preparation in cushioning any potential crises by means of the MPI. Thus the impact of the crises could be minimized and eventually reduce its impact on the Bangladesh economy. The specific objectives are to assemble a novel MPI that is able to recommend early signals of financial market vulnerability, to identify the MPI turning points and establish a comprehensive reference chronology for Bangladeshi financial market and to evaluate the predictive performance of newly constructed MPI on characterizing Bangladeshi financial sector.

The study investigated the whether the default measures of liquidity and solvency are associated and whether default measures are related to firm profitability. A total of 41 firms were selected to be in the study sample out of 46 non-financial listed firms in the Nairobi Securities Exchange during years 2013 to 2017 and panel data regression analysis was employed. The findings revealed that liquidity and solvency are significantly and negatively associated while the default measures lacked a significant relationship with profitability in Kenyan listed companies. The findings implied that there is no need for firms to focus too much on the relationship between default and profitability including invest heavily in liquidity in order to meet short term obligations as nowadays it is possible for firms to either convert non-cash assets quickly or borrow on short notice from financial institutions in case of an urgent need to meet liquidity shortages. These findings are consistent with the shitability theory.

This paper attempts to reveal how several credit risk factors are affecting the profitability of commercial banks considering the econometric models estimated with Random effect, Fixed effect, Pooled OLS and Cross-sectional Generalized least square (GLS) method followed by dynamic panel data model estimated with one-step GMM (generalized methods of moments) approach to incorporate the issue of endogeneity, unobserved heterogeneity and profit persistence of data set collected from annual report of banks covering from year 2010 to 2019 in Bangladesh. We have also adopted several diagnostic checks such as Model specification test, test of heteroskedasticty, cross sectional dependence test followed by test of autocorrelation and unit root test to examine the validity of the models selected for this study. The first part of our empirical investigation of the estimated models considering all methods reveals that out of all the independent credit risk factors such as Total loans to total assets ratio, Total loans to equity ratio, NPL to total loans, NPL to Total equity ratio, Provision for loan losses to total equity, total equity to total assets ratio, Total loans to total deposits ratio and provision for loan losses to NPL ratio, only provision for loan losses to NPL ratio is significantly affecting the dependent variable measured with NIM (Net interest margin) ratio of banks under fixed effect method. The next part of our empirical results of estimated models considering same methods divulges that NPL to total loans ratio, NPL to Total equity ratio and Provision for loan losses to total equity are also significantly affecting the dependent variable measured with ROE (Return on equity) of banks. The third segment of our empirical findings of estimated models considering same approaches shows that only NPL to total loans ratio is statistically significant under all methods but the NPL to total equity ratio is significant under fixed effect and GLS method and Provision for loan losses to total equity is significant under GLS method only in explaining the changes in ROA (Return on equity) measuring profitability of banks. Further investigation reveals that the dynamic impact of the said credit risk factors on profitability measured with ROE of banks has been successfully adopted by one-step system GMM approach considering all conditions required for estimation.

Corporate value is a quality measure that indicates the consistency and sustainability of a company. Good corporate value can only be attained if the company has consistent financial performance, and that value will be used by decision makers inside or outside the company as the guide before making action. Attaining good corporate value should need comprehensive strategies integrated with company operation. Among those strategies is non-financial activity or social responsibility. This research expects that the disclosure of social responsibility by the company will adorn corporate image and give good impact on profitability and corporate value. This research is aimed to examine the effect of social responsibility disclosure on profitability and corporate value. Data testing was conducted using robust regression test and applied on 1306 data of public companies that are listed at Indonesia Stock Exchange on period 2015-2018. Result of the test shows that social responsibility affects profitability and corporate value.
  

Abstract Today, tourism is becoming more and more the main sector of the economy by generating financial income and creating opportunities for new jobs. However, as one of the sectors where the economic growth of the country is expected to be concentrated in the future, tourism has still not found itself in genuine sectoral development. One of the many problems that Kosovo's tourism economy faces today is the identification of a genuine tourism product development strategy, as well as the use of marketing strategies, which will orient towards the sustainable development of tourism. In times of market economy, unfavorable fiscal policies in Kosovo often become an obstacle to the development of tour operators, even when they have the capacity and potential for development. Kosovo's tourism economy, in particular, and the economic sector in general are dominated by small and medium economic operators, while large economic operators are still in the process of privatization, therefore it is required to find a favorable sector strategy which in long-term period will ensure the sustainability of tour operators, offering a diversified tourism product.

This study aims to analyze the management accounting system, internal control of credit sales and accounts receivable collections in bakery industry. The novelty of this paper is to find out the results of bakery industy by considering a specific topic of financial issues. Every company has a role in the provision of credit problems but one of the most efficient ways for increasing sales is the provision of credit. However, basically credit sales have considerable customer risks who are not supposed to pay on accounts or customer who are not willing to pay for some reasons. To minimize these risks regarding the provision of credit, the company manager must be careful in selecting prospective customer before approving credit sales. This bakery industry is a company engaged in production and sales of bread and pastries. Based on research conducted by the author, the author asked the question whether the procedure of credit sales of accounts receivable collection has implemented internal control or not. The research method used is a library at the research field. Based on the result of this study, it concluded that the company sales of the applicable credit are in considerable amount, but the accounts receivable collection still has a few weaknesses which allow overdue customers to proceed the purchase orders. It is preferably to customers who have an overdue to be given limitation in ordering goods.

It has always been believed that government ownership would lead to bad financial performance and overstaffing in any organization. This study aims to examine the effect of government ownership on staffing level and the financial performance of Kuwaiti bank over the period 2010-2018. Using the financial data of ten banks listed at Kuwait stock exchange (KSE), results shows that there was s statistically significant direct relation between government ownership and overstaffing and statistically significant inverse relation between government ownership and the financial performance of banks measured by return on assets (ROA). On the other hand results show that there was no relation between overstaffing and the financial performance of Kuwaiti banks.

This research examined bankers’ perceptions of environmental sources of financial risks and its impact on commercial banks in Ghana. Primary data was collected from a purposive sample of ninety-six (96) middle–level bank managers using structured questionnaires. Time series secondary data on banking performance (denoted as ROA and ROE) and stability (denoted as CAR and NPLR) and growth of five major industrial businesses (including agriculture, mining, construction, manufacturing, and trade) as the environmental sources of financial risks, for a period of 13 years (2006-2018) was further obtained for analysis. Data was analyzed using the sample t-test and the multivariate dynamic panel regression model. The results show that, in bank lending, mining was perceived to be the topmost source of indirect environmental risk (credit and reputational risks), while agriculture was perceived to be the leading source of direct environmental risk (business risk). We found that perceptions of environmental sources of financial risk by mangers of locally owned banks differed from that of foreign owned banks. Growth of mining, trade and manufacturing positively influenced banking performance while the growth of construction and agriculture negatively influence banking stability. The study thus provides supportive evidence that commercial banks require set standards that guide clients’ business towards environmental sustainability

This study aims to determine the determinants of budget absorption at Jember University. Determinants of budget absorption include planning, budget execution, human resources, procurement of goods and services and coordination with other sectors or agencies. This study uses the positivism paradigm with a quantitative approach to test hypotheses, so the data analysis in this study uses hypothesis testing. The study was conducted at the University of Jember. Sources of data in this study are primary data sources and secondary data. Primary data in this study were obtained from questionnaires disebearkan to BPP Work Units, Planning Staff, and Finance Staff at the Head Office of Jember University. While the secondary data in this study is in the form of Jember University Financial Statements. The research sample was obtained using purposive sampling with a total of 63 people. The results showed that coordination with other sectors or agencies was an aspect that had a positive effect on budget absorption at Jember University.

The purpose of this study investigate effect of investment decisions, tax management on stock liquidity and investigate the effect of investment decisions, tax management on stock liquidity which moderated by liquidity. Novelty in the study is on the measurement of tax management variables, the contribution of this study is to introduce a new measurement of tax management and to provide information about investor responses and prospective investors in the stock market on tax management by companies in the context of Indonesia. The population of this study is manufacturing companies listed on the Indonesia Stock Exchange, determination of study samples using purposive sampling method with the criteria listed before 2015, complete data and non-delisting so as to obtain 127 manufacturing companies  with 5 years observation year (2014-2018) and obtained 635 company years data, multiple regression analysis and moderate regression analysis (MRA) were used in this study. Research findings: 1) Investment Decisions, Tax Management simultaneously influences and significant affects Stock Liquidity. 2) Investment Decisions have an effect and significant on Stock Liquidity. 3) Tax Management has an effect and is not significant on Stock Liquidity. 4) The effect of Investment Decisions on Stock Liquidity is not moderated by liquidity. 5) The effect of Tax Management on Stock Liquidity is not moderated by liquidity.