The journal of contemporary issues in business and government

CRYPTOCURRENCY MARKET DYNAMICS AROUND BITCOIN FUTURES EXPIRATION EVENTS

Radovan Vojtko, Cyril Dujava — Fri, 12 Jul 2024 00:00:00 +0000

In the rapidly evolving landscape of cryptocurrency markets, understanding the underlying dynamics that drive price movements and investor sentiment can be a matter of survival. However, there are myriad facets of trading reality, and the only thing that we can do is to slowly understand them one after another, one step at a time. This article picks one corner of the cryptocurrency market and sheds a little light on it. We have already written a few times about the importance of the introduction of Bitcoin futures and their impact on the Bitcoin price. Therefore, in this article, we will specifically examine Bitcoin’s behavior around the critical events when Bitcoin futures expire.

THE IMPACT ASSESSMENT OF CRUDE OIL PRICE VOLATILITY ON THE LABOR MARKET: A CASE STUDY OF GABON FOR THE PERIOD (1990-2022)

Esam Hadi Al- Salhi, Salam Anwar Ahmed, Hareth Adnan Mohammed — Sat, 20 Jul 2024 00:00:00 +0000

This research explores the dynamic relationship between crude oil price fluctuations and their impact on the labor market, particularly unemployment rates in Gabon during the period 1990-2022. As a country heavily reliant on oil exports, Gabon faces economic vulnerabilities due to uncertainties inherent in global oil markets. The study employs a comprehensive approach encompassing theoretical frameworks, methodologies, and empirical analyses to understand the intricate links between crude oil prices, foreign direct investment, economic growth, and unemployment. The study utilizes the Autoregressive Distributed Lag (ARDL) approach to explore short- and long-run dynamics of the variables under consideration.

The empirical results shed light on a long-term positive relationship between crude oil prices and unemployment attributed to the Dutch Disease phenomenon. It is acknowledged that the impact of foreign direct investment on unemployment is multifaceted, influenced by sectoral focus, technological adoption, and economic diversification. Economic growth initially correlates with a decrease in unemployment rates in the short run but exhibits asymmetric effects over time.

Diagnostic tests confirm the model's reliability with insignificant serial correlation and residue homoscedasticity. Stability tests validate the consistency of data relationships, confirming the enduring relationships between variables

QUANTITATIVE WEALTH AND INVESTMENT MANAGEMENT (QWIM) ADVANCED PORTFOLIO DIVERSIFICATION

Jifan He, Yipeng Li, Ziyu Zhou — Fri, 02 Aug 2024 00:00:00 +0000

Within the realm of Portfolio Diversification, the classic Mean-Variance (MV) Analysis framework faces scrutiny for its stringent assumptions and the high propensity for creating portfolios that are heavily concentrated in a limited selection of assets. Our study explores various Advanced Portfolio Diversification (APD) techniques Hierarchical Clustering (HC) with Hierarchical Principal Component Analysis (HPCA) and Dynamic Time Warping (DTW) to address the inherent estimation challenges associated with MV. These innovative methods refine the diversification process by utilizing the hierarchical and centroid clustering network approaches, thereby mitigating most of the problems incurred by the MV framework and problematic portfolios. When tested against various diversification models and anchoring strategies, these diversified portfolio management methodologies demonstrate superior performance over the traditional Mean-Variance (MV) strategy in the long-term horizon, across multiple risk-adjusted evaluation metrics. The reasons for this result are twofold: (1) the more diverse weight allocation of HC models, and (2) the flexibility of HC models in selecting different risk measures.

RESEARCH ON THE LINKAGE OF DIGITAL MONEY MARKET: EMPIRICAL ANALYSIS BASED ON GRANGER CAUSALITY TEST AND VARIANCE DECOMPOSITION

Fateh Saci — Fri, 26 Jul 2024 00:00:00 +0000

Based on the close price data of the main nine currency pairs in the digital money market in the period between 2018 and 2020, the linkage relationship between the nine currency pairs' price changes has been empirically studied. The impact of BTCUSDT and ETHUSDT on the volatility of other currencies is analyzed using Pearson correlation coefficient, Granger causality test and variance decomposition. The results show that the price change of BTCUSDT is the reason for the price change of all other currencies. The fluctuation change of BTCUSDT can be explained by its own fluctuation. The fluctuation of other currencies has little contribution on the fluctuation of BTCUSDT. Among the contributions made on the overall market volatility, BTC's impact on market volatility is higher than ETH's impact on market volatility. XRP volatility can be explained by its own volatility, and its currency trend is quite different from that of other currencies.

"ASSESSING THE IMPACT OF REMITTANCES FROM OVERSEAS WORKERS ON POVERTY IN LEBANON (2001-2023)"

Asmaa Taha Mukhlaf — Wed, 14 Aug 2024 00:00:00 +0000

Remittances from migrants constitute an important source of income in Lebanon, especially during economic crises. Between 2001 and 2023, remittances increased and accounted for about 14% of GDP in 2021. Studies indicate that remittances contribute to reducing poverty and improving living conditions by financing education and healthcare. For instance, a 2006 study showed that 24.6% of Lebanese households were deprived of basic necessities, but households receiving remittances managed to improve their financial and social status. The study used semi-annual data from Lebanon to analyze the relationship between remittances and poverty using statistical models such as unit root tests and co-integration analysis. The results showed that remittances significantly reduce poverty and improve economic conditions, aligning with previous literature that confirms the role of remittances in enhancing household income and access to education and healthcare. The study recommends enhancing financial inclusion and reducing remittance costs, developing policies to invest remittances in productive projects, and strengthening social safety nets to support vulnerable groups. The study summarizes the impact of remittances on poverty alleviation in Lebanon and the importance of their role in supporting the economy and improving living conditions .

EFFECT OF FORENSIC ACCOUNTING ON THE PERFORMANCE OF DEPOSIT MONEY BANKS IN NIGERIA

ADAMU Garba — Thu, 19 Sep 2024 00:00:00 +0000

This study investigated the effect of forensic accounting on the performance of Deposit Money Banks (DMBs) in Nigeria, focusing on the period from 2019 to 2023. A sample of 12 DMBs was analyzed using panel data analysis, employing both fixed and random effect regression models. The Hausman test indicated a p-value of 0.5876, signifying that the random effect model is the most appropriate for this analysis. The study specifically examines the impact of three forensic accounting components: Risk Assessment (RAS), Legal Services (LES), and Monitoring and Control (MAC) on the Return on Assets (ROA) of DMBs. The Random Effect Regression results reveal distinct impacts of these components on bank performance. The coefficient for RAS is -0.441012, with a standard error of 0.994948, a t-statistic of -0.443251, and a probability value of 0.6593, indicating an insignificant and potentially negative effect on ROA. In contrast, the coefficient for LES is 0.047793, with a standard error of 0.022815, a t-statistic of 2.094806, and a probability value of 0.0344, showing a statistically significant positive impact on ROA. Similarly, the coefficient for MAC is 0.082441, with a standard error of 0.038630, a t-statistic of 2.134119, and a probability value of 0.0289, indicating that robust monitoring and control positively influence bank performance. The model's weighted R-squared value is 0.625076, suggesting that 62.51 percent of the variation in ROA is explained by the model, with an adjusted R-squared of 0.427152. The F-statistic of 4.480127 (p-value = 0.037410) confirms the overall significance of the model. The findings highlight the importance of enhancing legal services and monitoring controls within forensic accounting frameworks to improve the financial performance of DMBs, while also suggesting a need for a reassessment of current risk assessment practices.

EFFECT OF GREEN HUMAN RESOURCE MANAGEMENT PRACTICES ON SUSTAINABILITY OF FOOD AND BEVERAGE COMPANIES IN NIGERIA

Thu, 19 Sep 2024 00:00:00 +0000

The study examined the effect of green human resource management practices on sustainability of quoted food and beverage companies in Nigeria. The study specifically determined the effect of green recruitment, green training, green rewards, green performance appraisal, and green employee involvement on sustainability of food and beverages companies in Nigeria. The study adopted a survey research design. The population of the study included three hundred and twenty-five (325) staff of fourteen (14) quoted food and beverages companies and a census sampling approach was used to consider the entire population. Primary data collected through self-administered questionnaire were analysed using descriptive statistics and multiple regression with the aid of the Statistical Package for Social Sciences (SPSS version 25). The study found a significant positive effect of green recruitment, green training, green rewards, green performance appraisal, and green employee’s involvement on sustainability of food and beverages companies in Nigeria. The study concluded that, green human resource management practices have significantly enhanced the sustainability of food and beverages companies in Nigeria. The study recommended amongst others that, food and beverages companies in Nigeria should pay a serious attention in sustainable implementation of green recruitment practices which involves attracting and selecting candidates who are not only qualified but also have a strong commitment to green environmental practices. This practice ensures that the workforce is aligned with the company's green objectives from the onset.

EFFECT OF CHANGE MANAGEMENT ON EMPLOYEE ATTITUDE IN LAFARGE CEMENT PLC CROSS RIVER STATE, NIGERIA

Agbor Margaret — Thu, 19 Sep 2024 00:00:00 +0000

This study carried out a review of the effect of change management on employee attitude in Lafarge Cement Plc Cross River State, Nigeria. The study used examined Lewin's theory of behaviour to provide a theoretical foundation for the study. Primary data was used for the study and they were obtained using structured questionnaire from a sample of 109 senior staff of Lafarge Cement Plc Cross River State. Multiple regression analysis was used for the study and the hypotheses of the study were tested using the probability value of the regression estimates. The findings of the study indicates that innovation management has a positive effect on employee attitude in Lafarge Cement Plc Cross River State, Nigeria and the effect is statistically significant (p<0.005). Resource management has a positive effect on employee attitude in Lafarge Cement Plc Cross River State, Nigeria and the effect is statistically significant (p<0.005). Training was found to have a negative effect on employee attitude in Lafarge Cement Plc Cross River State, Nigeria and the effect is not statistically significant (p>0.005). It was concluded that for change to succeed, the human aspect to change management must be successfully addressed in order to avoid resistance to change. It was recommended among others that the management of the Lafarge Cement Plc Cross River State Nigeria can bring about effective change management in the industry if they utilize the potent power of training, which can be on-the-job or off-the-job training. This is because, training and development of employees equips them with the requisite skills to handle both planned and unplanned change in the industry and give the company competitive advantage.