Abstract:Inflation is a fundamental measure of macroeconomic stability that negatively impacts the nation's economy and affects many other macroeconomic variables. Thus, in this study, the major objective was based on modeling and…
d forecasting inflation in Ethiopia and its components using a VAR model. The analysis was based on annual data from 1992 to 2021, encompassing 30 years. The results indicated that all five series were non-stationary at the level but stationary after their first differencing at a 5% level of significance. Johansen's cointegration tests were conducted. The results indicated the presence of at least one co-integration relationship between the variables. The Vector Error Correction Model (VECM) was fitted to model short run and long run relationships among inflation and other macro-econometric series such as GDP growth, government expenditure, money supply, and imports, and the result indicated that the coefficient of error correction term is negative (-0.279), which indicated that the fitted VECM model continues to move toward long run equilibrium and converges. Granger causality tests were employed to explore potential causal relationships. Impulse response analysis and variance decomposition were used to determine the short-run interactions among the variables. Finally, using the fitted model, out-of-sample forecasts were produced, yielding forecasted plots and values for the endogenous variables. According to the forecasted inflation rates for the next five years, prices are projected to decrease by approximately 18.0% in 2022, 6.8% in 2023, and then increase by approximately 8.3% in 2024. Subsequently, prices are expected to decrease by approximately 2% in 2025 and 5% in 2026 over the specified time periods.
Abstract:This study investigates the role of acquisition premiums in mergers and acquisitions (M&A) and their impact on shareholder wealth, focusing on five major Indian deals in pharmaceuticals, retail, banking, steel, and renewable…
able energy sectors. Potential synergies often justify acquisition premiums ranging from approximately 15% to 40% above target companies’ market values. However, market responses suggest that such premiums may not consistently result in value creation for acquiring firms' shareholders. Empirical findings reveal mixed outcomes: Sun Pharma’s acquisition of Ranbaxy led to a 9.8% share price increase within five days, while Tata Steel’s high-premium acquisition of Bhushan Steel saw only a 1.7% gain. In contrast, deals like Reliance–Future Retail and Tata Power–Welspun Power showed minimal or negative returns, despite sizable premiums. These patterns indicate that premium size alone is not a reliable predictor of post-deal shareholder wealth creation. The study concludes that M&A success depends more on strategic fit, market timing, and sectoral dynamics than on the premium offered. This analysis contributes to the broader M&A discourse by offering evidence-based insights into how premium valuations can either maximise or dilute shareholder value, aiding investors, corporate strategists, and policy analysts in deal assessment
Abstract:This study examines the effect of profitability and capital structure on firm value. Profitability, measured by Return on Assets (ROA) and Return on Equity (ROE), reflects the company's ability to generate profits from its…
ts operations. Capital structure, represented by the Debt to Equity Ratio (DER) and Debt to Asset Ratio (DAR), indicates the proportion of debt and equity used to finance the company. The research sample consists of companies listed on the Indonesia Stock Exchange (IDX), selected through purposive sampling based on specific criteria. Data analysis was conducted using multiple linear regression models. The results show that profitability and capital structure both have a positive and significant effect on firm value. Profitability contributes to increasing firm value by attracting investors and enhancing market confidence. Meanwhile, an optimal capital structure, particularly the prudent use of debt, can also increase firm value by lowering the cost of capital. The study suggests that management should focus on improving profitability and maintaining an optimal capital structure to maximize firm value
Abstract:This research aims to find out how student learning outcomes differ in the Accounting Laboratory course based on previous educational background. The population in this sample is all 91 students who filled out the Googleform…
form provided. The sample size was obtained using the Yamane formula for the two independent variables, namely SMK with 40 students and SMA with 20 students. The type of research in this research is quantitative comparative using the independent sample t-test analysis technique, with the test carried out being a difference test of one group of samples (pairs). The results of this research are that there is no statistically significant difference between the learning outcomes of students with vocational/MAK backgrounds and the learning outcomes of students with high school/MA backgrounds. Keywords: Learning Outcomes, Educational Background
Abstract:The Pajarakan District area is an agricultural area where 61% of the area is rice fields. Even though the Pajarakan Subdistrict area has large agricultural land, it does not make farmers feel benefited when the harvest season…
eason arrives, because many of the farmers feel at a loss because their crops are bought by collectors at low prices. The purpose of this research is to create a system for selling agricultural products to help farmers sell agricultural products directly to agents in order to get a higher price than the price of collectors. In this study, a system was successfully created with the name YUK TANI based on Android using Android Studio, and the CodeIgniter 4 framework for creating REST APIs, and MySQL as database storage. With this system of selling agricultural products, it is hoped that it can help farmers in the Pajarakan District area to improve their economy when post-harvest arrives.
Abstract:Bad credit is one of the main problems faced by the banking sector, which can threaten financial stability and bank profitability. This research aims to analyze the causes of bad credit through the literature review method,…
od, by identifying and evaluating relevant scientific works. The research results show that the causes of bad credit can be categorized into four main factors: internal factors of the borrower, external factors of the borrower, internal factors of the bank, and regulatory and policy factors. The borrower's internal factors include poor management and weak financial capabilities, while external factors include unstable macroeconomic conditions and intense business competition. Internal bank factors include weak credit assessment processes and inappropriate credit policies, while regulatory and policy factors include less effective regulations and erratic changes in government policy. To reduce the risk of bad credit, banks and financial institutions are advised to improve credit assessment processes, tighten supervision of the use of funds, develop credit policies that are more flexible but based on in-depth risk analysis, and strengthen regulations and supervision. Macroeconomic risk mitigation strategies are also important to maintain financial stability. By implementing these strategic steps, it is hoped that the risk of bad credit can be minimized, support the stability and sustainability of the banking sector, and increase trust and security for all parties involved. This research emphasizes the importance of a comprehensive and coordinated approach in credit risk management to ensure the sustainability and stability of the financial system.
Abstract:This research aims to examine the effect of Fixed Asset Investment, Solvency, Working Capital and Free Cash Flow on Profitability. Several previous studies showed various results. To obtain valid results, a test is carried…
ed out on each variable based on the hypothesis that is built. The research population is manufacturing companies listed on the Indonesia Stock Exchange for the 2017-2020 period. The sample used was selected using a purposive sampling method. After eliminating data with several criteria, 57 companies were identified as samples during the 2017-2020 period. Hypothesis testing was carried out using multiple linear regression analysis with the help of IBM SPSS version 25 software. The results of this research show that Fixed Asset Investment, Solvency and Free Cash Flow have an influence on Profitability, while Working Capital has no influence on Profitability.
Abstract:Artificial Intelligence has become a transformative technology in the field of financial technology, leveraging advanced algorithms and machine learning to identify risks and make informed decisions. However, its widespread…
ead adoption presents new challenges related to ethical use, data privacy, security concerns, potential bias, and discrimination. This study aims to explore the benefits of AI-based risk management in Fintech while highlighting associated challenges and providing recommendations. This research utilises the systematic review methodology to analyse existing literature and identify important patterns, gaps, and areas for further investigation. The study utilised data gathered from the Scopus database to obtain credible scholarly materials. Research data was collected from a variety of countries including the United States, China, European nations, and other Asian countries in order to develop a comprehensive understanding of AI-based risk management on a global scale. The findings highlight the crucial role of ethical considerations in implementing AI-based risk management systems to ensure fairness, transparency, and accountability. Moreover, the fintech industry needs to establish strong data protection measures and address issues related to bias and discrimination in order to instil trust and uphold public confidence in AI-based risk management. Future research should emphasise assessing the effectiveness of different algorithms and approaches while also examining potential regulatory frameworks and legal implications associated with AI-based risk management strategies.
Abstract:The growth of MSMEs is increasingly widespread, especially the 777 fruit sweet shop business which markets various kinds of fruit, both local and imported. In the current era, MSME players should be able to utilize digital…
al media to market their products so that consumers become more familiar with the products produced by these MSMEs. This research aims to determine the marketing strategy carried out by the 777 fruit sweet shop business to increase sales. This research is descriptive research using a qualitative approach. The informant was determined deliberately, namely the business owner of Sweet Fruit Shop 777. The data collection procedures used in the research included observation, interviews, and documentation. The data obtained was analyzed using SWOT analysis. Based on the research results, show that the strategy implemented by the 777 fruit sweet shop business in Gowa Regency, South Sulawesi Province is in quadrant one, namely Aggressive (growth-oriented strategy), which is a very profitable situation with implementation through Marketing Strategy. The coordinates of point x are the coordinates of the IFAS strategy with a coordinate point of 2.83, while the coordinates of point y are the coordinates of the EFAS strategy with a coordinate point of 2.07. The strategy that needs to be improved in fruit marketing is to make maximum use of digital marketing to reach a wider market.
Abstract:This study examined the influence of Education and Training, Work Motivation, and Leadership Style on the performance of female Civil Servants (ASN) in the city of Makassar. Using a quantitative causal method, this research…
rch collected data from 100 samples determined based on the Slovin formula. Data analysis was conducted using multiple linear regression with SPSS version 25. The results of the study showed that all independent variables had a significant impact on employee performance. Validity and reliability tests confirmed the reliability of the research instrument. The regression model indicated that an increase in the variables of Education and Training, Work Motivation, and Leadership Style was positively associated with an improvement in employee performance. The coefficient of determination (Adjusted R Square) of 31% indicated that independent variables influenced 31% of the variance in employee performance, while the rest was influenced by other factors.This research confirms that education and training are important for improving the quality and performance of employees. Work motivation significantly affects performance, and effective leadership style positively contributes to employee performance. In conclusion, Education and Training, Work Motivation, and Leadership Style collectively and partially have a significant impact on the performance of female ASN employees in the city of Makassar.