Search Results (894)

This paper examines the impact of audit quality and internal corporate governance mechanisms on segment disclosure. It uses manual content analysis to measure the levels of disclosure for a sample of Egyptian-listed companies from 2015 to 2023. It provides evidence that audit quality, joint audit, gender diversity, and board independence have a positive impact on the segment disclosure level. In contrast, audit opinion, foreign directors, and military background directors have a negative impact on the segment disclosure level in Egypt. Full article

The South Korean AI market has grown significantly, yet while chatbot adoption is well-studied, sustained use remains underexplored. This study surveyed 250 financial institution chatbot users in South Korea in February 2024, using SPSS and R to investigate quality effects on intention of continuous usage. Results showed that social presence, response accuracy, assurance, and interactivity positively influenced expectation confirmation. In contrast, responsiveness, reliability, and usability had no significant effect, while security negatively impacted frequent users, reflecting trust concerns. These findings guide financial institutions in enhancing chatbot retention through interactivity and trust. Conducted in a pre-generative AI context, this study suggests future longitudinal research to address evolving AI technologies and user behaviors. Full article

Investing in the stock market has always been an exciting topic for people. Many specialists have tried to develop tools to predict future stock prices in order to make high profits and avoid big losses. However, predicting prices based on the dynamic characteristics of stocks seems to be a non-trivial problem. In practice, the predictive models are not expected to provide the most accurate forecasts of stock prices, but to highlight changes and discrepancies between the predicted and observed values, to warn against threats, and to inform users about upcoming opportunities. In this paper, we discuss the use of frequent sequences as well as association rules in WIG20 stock price prediction. Specifically, our study used two methods to approach the problem: correlation analysis based on the Pearson correlation coefficient and frequent sequence mining with temporal constraints. In total, 43 association rules were discovered, characterized by relatively high confidence and lift. Moreover, the most effective rules were those that described the same type of trend for both companies, i.e., rise ⇒ rise, or fall ⇒ fall. However, rules that showed the opposite trend, namely fall ⇒ rise or rise ⇒ fall, were rare. Full article

The EU has consistently tackled the challenge of energy poverty (EP) through various legislative and non-legislative measures, particularly in the context of ongoing energy crisis, but it should also support the reduction of income inequality that might accelerate EP. The aim of this study is to evaluate the impact of income inequality on EP and other interconnected indicators in the EU in the period 2005–2023 using method of moments quantile (MMQ) regression and mean group (MG) estimators. The results suggest that income inequality based on Gini index enhances energy poverty, while gender pay gap, economic growth, and urban population reduce it. Foreign direct investment (FDI) and renewable energy consumption (REC) might combat EP only in the long-run. These findings suggest that macroeconomic policies should focus not only on economic growth, but also on addressing income inequalities. Policymakers must prioritize measures to reduce income inequality, such as progressive taxation or targeted social programs. Full article

Behavioral risk management is an increasingly important consideration in investment strategies, as research has shown that investor psychology can significantly impact portfolio performance. This study examines how psychological variables influence investing choices and the effects that these actions have on risk mitigation and overall investment performance. The primary respondents for this study were the employees of Takoradi Technical University. Partial Least Square Structural Modeling was adopted for the data processing, analysis, and testing of the study’s hypotheses. The study’s findings, which were based on a carefully chosen sample of 348 investors, showed that investigating behavioral risk management in investment strategies is an effective method for thoroughly comprehending and utilizing investors’ psychology to maximize risk management procedures and enhance investment results in dynamic financial markets. Seven hypotheses were deemed insignificant, and five were considered significant. This study is limited by its exclusive focus on only one technical university. This study augmented the growing corpus of research on risk management in investment strategies. Full article

Corporate taxation assumes a pivotal role in all economies, as it constitutes a substantial source of revenue for governmental agencies tasked with fulfilling social obligations. Nonetheless, modifications in financial policies and the unpredictability of macroeconomic factors result in a significant decline in this vital revenue source for the government. This study examines the financial determinants influencing corporate tax revenue in Nigeria from 1990 to 2022. In this analysis, the broad money supply, access to credit by the private sector, borrowing costs, and exchange rates are utilized as independent variables, while corporate tax revenue serves as the dependent variable. Data pertinent to this investigation on corporate income tax are sourced from the Federal Inland Revenue Service, whereas information regarding the broad money supply and credit extended to the private sector is acquired from the Central Bank of Nigeria. Additionally, statistical data on interest and exchange rates are gathered from the World Bank. This investigation applies autoregressive distributed lag and error correction models, acknowledging the existence of a long-term relationship within the series. The significant findings indicate that the broad money supply positively and significantly affects corporate income tax in the short run, but this effect diminishes to a positively insignificant level in the long run. Additionally, the interest rate is shown to have a significant harmful effect on corporate tax income in the short run, while it becomes negatively insignificant over the long term. Other financial policy factors do not significantly account for changes in corporate income tax. This study suggests the formulation of financial policies that are advantageous to corporate organizations, particularly through the reduction in borrowing costs, to facilitate business growth and enhance the government’s ability to collect substantial corporate tax revenue. The originality of this research is apparent in its utilization of financial policy instruments to illustrate the effectiveness of financial guidelines on corporate tax receipts and to argue for particular amendments that are essential when these guidelines prove detrimental to business activities. Full article

The banking sector is experiencing significant disruption due to technological advancements and evolving customer demand. This study analysed over 2000 banking and/or neobanking users across 28 countries. A multinomial logit model was applied to examine three user characteristics groups: demographics, banking habits, and neobanking habits. Several interesting effects were found. Higher-educated and single users are more likely to use neobanks, while self-employed and lower-income users are less likely. Neobank users prioritize affordability, availability, and speed, while traditional bank users prioritize stability and personal interaction. We have developed a tool to identify clients likely to leave traditional banks, fully or partially, with high reliability. Even partial outflows mean banks lose important services generating significant revenue to competitors. A crucial factor here is the single banking market, which eases switching between banks. Neobanks further reduce barriers, enhancing customer mobility. Moreover, opening an account with a neobank takes only minutes. The findings of this study provide valuable insights for banks and neobanks, allowing for a more comprehensive understanding of users’ characteristics that reflects current customer demand and enables new strategies to better address them. Full article

In the rapidly evolving digital landscape, integrating blockchain technology into retail banking has emerged as a pivotal strategy for operational efficiency and competitive differentiation. This study employs the Decision Making Trial and Evaluation Laboratory (DEMATEL) methodology to explore the relationships among the main factors shaping blockchain adoption, highlighting their direct and indirect effects on banks’ implementation efforts. The findings reveal that technology cost exerts the strongest causal influence on blockchain adoption, significantly affecting all other factors. Moreover, the interaction between technology cost and blockchain scalability is mediated by regulatory requirements, customer acceptance, and industry collaboration. Specifically, regulatory compliance obligations and associated uncertainties can magnify the cost barrier, while higher expenses may discourage customer engagement and limit large-scale adoption. Simultaneously, collaborations among banks and technology partners can alleviate cost burdens, thereby promoting more widespread implementation. These findings highlight the need for careful financial planning, strategic investment, and regulatory engagement to manage the high costs inherent in blockchain projects. Furthermore, banks should consider proactive customer education to convey the benefits of blockchain-driven innovations, thereby building trust and encouraging utilization. Full article

Forecast risk management is central to the financial management process. This study aims to apply Monte Carlo simulation to solve three classic probabilistic paradoxes and discuss their implementation in corporate financial management. The article presents Monte Carlo simulation as an advanced tool for risk management in financial management processes. This method allows for a comprehensive risk analysis of financial forecasts, making it possible to assess potential errors in cash flow forecasts and predict the value of corporate treasury growth under various future scenarios. In the investment decision-making process, Monte Carlo simulation supports the evaluation of the effectiveness of financial projects by calculating the expected net value and identifying the risks associated with investments, allowing more informed decisions to be made in project implementation. The method is used in reducing cash flow volatility, which contributes to lowering the cost of capital and increasing the value of a company. Simulation also enables more accurate liquidity planning, including forecasting cash availability and determining appropriate financial reserves based on probability distributions. Monte Carlo also supports the management of credit and interest rate risk, enabling the simulation of the impact of various economic scenarios on a company’s financial obligations. In the context of strategic planning, the method is an extension of decision tree analysis, where subsequent decisions are made based on the results of earlier ones. Creating probabilistic models based on Monte Carlo simulations makes it possible to take into account random variables and their impact on key financial management indicators, such as free cash flow (FCF). Compared to traditional methods, Monte Carlo simulation offers a more detailed and precise approach to risk analysis and decision-making, providing companies with vital information for financial management under uncertainty. This article emphasizes that the use of Monte Carlo simulation in financial management not only enhances the effectiveness of risk management, but also supports the long-term growth of corporate value. The entire process of financial management is able to move into the future based on predicting future free cash flows discounted at the cost of capital. We used both numerical and analytical methods to solve veridical paradoxes. Veridical paradoxes are a type of paradox in which the result of the analysis is counterintuitive, but turns out to be true after careful examination. This means that although the initial reasoning may lead to a wrong conclusion, a correct mathematical or logical analysis confirms the correctness of the results. An example is Monty Hall’s problem, where the intuitive answer suggests an equal probability of success, while probabilistic analysis shows that changing the decision increases the chances of winning. We used Monte Carlo simulation as the numerical method. The following analytical methods were used: conditional probability, Bayes’ rule and Bayes’ rule with multiple conditions. We solved truth-type paradoxes and discovered why the Monty Hall problem was so widely discussed in the 1990s. We differentiated Monty Hall problems using different numbers of doors and prizes. Full article

This study explores the following two aspects: (i) the impact of Environmental, Social, and Governance (ESG) scores and corporate ownership characteristics on the performance of Chinese listed companies, and (ii) whether different ownership characteristics (state-owned, private, foreign) moderate the relationship between ESG participation and corporate performance. By analyzing a comprehensive sample of 4649 listed companies in China, we provide robust evidence that ESG participation and its three pillars (i.e., Environmental, Social, and Governance) can significantly enhance corporate performance, as measured by the accounting-based proxy return on assets (ROA). Moreover, our research findings reveal an important and novel discovery: in the Chinese market, ownership types have significantly different moderating effects on the relationship between ESG and corporate performance. Specifically, compared to state-owned enterprises and private corporations, foreign ownership exhibits a stronger moderating effect in enhancing the positive impact of ESG on ROA, followed by private corporations, while the moderating effect of state-owned enterprises is the weakest. This result provides new perspectives and empirical support on how ESG and ownership structure jointly affect corporate performance, offering references for future related research and policy formulation. Full article

Household savings are a long-term financial issue that can undermine the financial well-being of American families if not addressed. This study examines financial planning strategies through the Behavioral Life-Cycle (BLCH) hypothesis, focusing on long-term savings goals, financial safety nets, and foreseeable expenses. Using data from the 2022 Survey of Consumer Finances, a moderated mediation model explores how financial safety nets, self-control, and mental accounting influence saving habits. The findings show that long-term savings goals significantly mediate the relationship between financial safety nets and saving habits, while foreseeable expenses do not significantly moderate this relationship. These results highlight the importance of goal setting in promoting saving behaviors, regardless of specific financial needs. Policymakers can leverage these findings to design initiatives that encourage structured savings programs, while financial advisors should emphasize goal-setting strategies to help households improve their financial security. This research contributes to a deeper understanding of the behavioral and economic factors that drive personal savings, offering valuable insights for both policymakers and financial practitioners aiming to boost financial well-being in households. Full article

While achieving common prosperity necessitates a focus on the efficiency and equity of the primary income distribution, income inequality persists in China. As a critical tax incentive mechanism, China’s Accelerated Depreciation Policy (ADP) of fixed assets not only promotes important changes in corporate productivity and production methods but also significantly influences the primary income distribution within enterprises. However, current research offers a limited understanding of the importance of the ADP in the primary income distribution. Given that the core of the primary distribution lies in adjusting the labor income share, we regard 2014’s ADP as an exogenous “quasi-natural experiment”. After theoretically analyzing this policy’s effect on the labor income share of enterprises, our use of difference in differences (DID) validates our theoretical expectations with respect to China’s A-share listed companies during 2010–2022. The results show that the ADP can significantly increase enterprises’ labor income share; all hypotheses proved to be robust. The analysis of mechanisms shows that the ADP mainly affects the labor income share as it upgrades the corporate human capital structure as well as rent-sharing. Analyzing for heterogeneity, we find that positive effects due to the ADP affecting the labor income share are more prominent among private enterprises, medium and small-sized firms, companies with high financing constraints, capital-intensive industries, manufacturing enterprises, and those with a high level of skilled labor. The conclusions of this study contribute to uncovering the impacts of the ADP on income distribution, offering a clearer identification of particular mechanisms explaining the ADP’s effect on the labor income share. It holds significant theoretical value for understanding the micro-mechanisms of economic impacts generated by relevant policies. Furthermore, it provides policy insights in achieving common prosperity. Full article

This study aims to investigate the impact of the market structure and efficiency on firm performance in the meat and milk processing industry in Poland, Czechia, and Slovakia. Using stochastic frontier analysis and a profitability regression model applied to data from 2015 to 2021, the results indicate no evidence of collusive behavior in the examined markets. Instead, profitability is significantly driven by efficiency, supporting the hypothesis of an efficient market structure. Companies with higher market shares do not exploit their market power to set higher prices and increase profitability. The findings highlight efficiency as a critical determinant of performance in unconcentrated markets, offering valuable insights for stakeholders in the food processing industry and policymakers. Full article

The effects of certain abilities on financial outcomes have been debated for several years. Some argue that financial knowledge is key to financial success, while others have found financial skill and self-assessed knowledge are more important. This study contributes to this debate by providing a descriptive analysis, whereby regression is used to study the simultaneous effects of financial knowledge, financial skill, and self-assessed knowledge on financial well-being, financial behavior, and objective financial situation. Although our methodology does not allow us to determine if relationships are causal, we show that self-assessed knowledge has little to no relationship with financial well-being, may have contrasting relationships with components of objective financial situation, and is weakly associated with good financial behaviors. Financial skill has the strongest relationship with financial well-being and financial behaviors, as well as some components of objective financial situation. Despite having a relatively weak (compared to financial skill) association with financial well-being and financial behaviors, financial knowledge has the strongest relationship with many components of objective financial situation. Full article

Biotechnology firms operate in a highly innovative and capital-intensive environment, characterized by high levels of R&D, long product development periods, significant regulations, and high levels of uncertainty. These firms rely heavily on intangible assets, such as intellectual capital and innovation. Consequently, intellectual capital and innovation activities play a crucial role in financial strategies and capital structure decisions. This study aims to examine how intellectual capital and innovation activity influence capital structure decisions of biotech firms in Sweden. In this paper, financial data of 1528 companies from 2012 to 2022 were analyzed. Using logistic regression modeling, the results showed that biotech firms with higher intellectual capital are more likely to issue equity whereas those with greater innovation activity tend to rely more on debt financing. These findings underscore the complexities of financial strategy in the biotech sector, emphasizing the need for flexible capital structure management. Moreover, policymakers should focus not only on equity availability but also on ensuring access to debt financing, as both are crucial for sustaining biotech innovation and growth. Full article