Crypto-Egalitarian Life

Carbon pricing: an important signal and tool in environmental finance

Cutting Edge of the Contemporary: KNUST, Accra, and the Ghanaian Contemporary Art Movement

Default is an increasingly important issue for the Fall, as market stress builds in a weak economic and financial environment rally. The study seeks to investigate if financial tools such as hedging and working capital management can be used for a precaution against default risk in the textile sector of Pakistan. Furthermore, it provides us an analysis on how macroeconomic variables are managed reduces the risk of default. Several elements can potentially impact the likelihood of a corporation experiencing a default on its debt. Nevertheless, this research has only analyzed Working Capital Management, Hedging, and macroeconomic covariables. Data of 102 textile firms was collected for the time of 2015-2020. The objective of this analysis is to assess the influence of these variables on the likelihood of default. The present study employs a logical approach to inquiry. The deductive approach would be the most suitable to evaluate the hypothesis of causation in the study. Our study provides evidence of a strong and statistically significant negative relationship between working capital management and default risk. The importance of the impact of CPI and R&D Investment is observed at a significant level. The statistical significance of the relationship between GDP growth and the probability of default is acceptable. The statistical significance of the impact of interest rates on default likelihood is insignificant. This study offers significant theoretical contributions by incorporating well-established financial theories, including Credit Rationing Theory, to develop a complete framework for understanding default risk. This article examines how these ideas shed light on the behavior of lenders, conflicts of interest inside agencies, and the impact of free cash flow on corporate decision-making. Furthermore, this study investigates the often-overlooked aspect of working capital management and the role of hedging in risk management. This study offers practical insights for finance experts, corporate administrators, legislators, and investors.

Relevance of the research topic. In the conditions of economic transformations the financial strategy acts as the important economic lever of influence of public administration bodies on social and economic development of the country. The assessment of the mechanism of financial regulation in Ukraine indicates the need to develop the components of the financial system in conjunction with the transformational economic processes and the development of a sound financial strategy in accordance with the goals and objectives of social development. Formulation of the problem. The importance of developing a financial strategy in the context of economic transformation is due to the need to take into account the impact of internal and external challenges in the financial and economic environment, economic fluctuations due to the spread of the coronavirus pandemic. At the same time, the choice of financial strategy tools should be made taking into account the level of economic development of the country. Analysis of recent research and publications. The issue of developing a financial strategy is quite common in research. These are the works of famous domestic and foreign scientists: J. Keynes, P. Samuelson, J. Stiglitz, W. Tanzi, S. Kucherenko, L. Lysyak, L. Levaeva, I. Lukyanenko, V. Makohon, M. Pasichny, I. Chugunov and others. Selection of unexplored parts of the general problem. The above issues are relevant in connection with the deepening of economic transformation, the adverse impact of the Crown virus pandemic on the financial sector, which requires a number of specific tasks related to the development of financial strategy. Problem statement, research goals. The objectives of the study are: to reveal the role of financial strategy in the regulation of socio-economic processes, to substantiate the peculiarities of the development of the components of the financial system. The purpose of the study is to reveal the directions of financial strategy in the context of economic transformation. Method or methodology of the study. The article uses a set of research methods: a systematic approach, statistical analysis, structuring, analysis, synthesis, etc. Presentation of the main material (results of work). The role of financial strategy in the regulation of socio-economic processes is revealed, the peculiarities of formation and implementation of financial strategy are substantiated. The directions of financial strategy in the conditions of economic transformations are substantiated. Field of application of results. The results of the study can be used in the process of formation and implementation of financial policy of Ukraine, reforming the domestic financial system and its components. Conclusions in accordance with the article. The qualitative level of formation and implementation of financial strategy is determined by the system of financial institutions, the state of their development in a particular country aimed at ensuring economic growth and welfare of citizens. The functional purpose of financial strategy is the result of the evolution of the role and importance of state functions in socio-economic development. Depending on the dynamics of socio-economic processes, the tasks of the financial strategy and the tools for its implementation should be adjusted. The financial strategy in the conditions of economic transformations should be directed on formation of long-term potential of economic growth and increase of well-being of the population taking into account demographic tendencies and indicators of the macroeconomic forecast of social and economic development of the country.

The article examines the role of accounting digitalization and the development of digital audit in the system of using financial instruments for price risk hedging in international markets. It is determined that in the conditions of globalization of economic processes, instability of global commodity and financial markets, and increasing price volatility, the need for effective financial risk management tools is significantly increasing. Particular attention is paid to the impact of the digital transformation of the economy on the development of accounting and auditing, as well as to the use of modern information technologies, including cloud services, Big Data technologies, artificial intelligence, and blockchain for processing financial information and ensuring the reliability of financial reporting. The study analyzes the essence and key characteristics of digital accounting and digital auditing and identifies their main functions and differences in the system of financial information management. The paper also characterizes the main financial instruments used for price risk hedging in international markets, including forward and futures contracts, options, swaps, and other derivative financial instruments. In addition, modern software solutions used for accounting, risk management, and financial control are considered, particularly enterprise resource planning (ERP) systems and analytical platforms used by international companies and financial institutions. It is substantiated that the use of digital technologies in accounting and auditing contributes to improving the transparency and reliability of financial information, increasing the efficiency of financial control, and ensuring the operational processing and analysis of large volumes of financial data. Digital solutions also create favorable conditions for monitoring financial transactions, assessing market risks, and supporting informed managerial decision-making. The development of digital accounting and digital audit tools forms an important information basis for the effective use of financial instruments for price risk hedging and enhances the stability of enterprises operating in the global financial environment.

The rapid expansion of Peer-to-Peer (P2P) lending platforms has significantly disrupted the traditional banking sector, leading to substantial deposit outflows as investors seek higher returns and borrowers pursue more accessible credit options. This shift poses liquidity and profitability challenges for U.S. banks, compelling them to adopt digital transformation strategies to retain deposits and sustain their competitive advantage. This paper explores how banks leverage digital innovations such as artificial intelligence (AI)-driven financial management tools, real-time payment systems, and enhanced customer personalization to improve user engagement. Additionally, it examines the introduction of high-yield savings products, robo-advisory services, and tokenized deposits as alternative investment options to counteract the appeal of P2P lending. The study also highlights strategic partnerships between banks and fintech firms, including embedded banking solutions, Lending-as-a-Service (LaaS), and open banking frameworks, which enable banks to remain integral players in the evolving financial ecosystem. Furthermore, the role of big data analytics and AI-powered predictive models in customer retention is analyzed, demonstrating how data-driven insights help banks preemptively address deposit migration risks. Through a comprehensive assessment of these digital transformation strategies, this paper provides insights into the future of banking in an increasingly decentralized financial environment and offers recommendations for sustaining deposit growth amid the rise of alternative lending solutions.

It is now widely accepted that success in providing wholesale financial services will depend on the industry's ability to develop flexible ebusiness models and strategies, as well as its ability to develop innovative systems for knowledge management and customer relationship management that can communicate effectively with legacy systems. In this paper we describe the problems and challenges facing Australian corporations in the Wholesale Financial Services sector and describe a research model which seeks to assess the impact of emerging Intelligent Agent enabled e-business initiatives, particularly in the area of system architecture and mass customisation. The purpose is to assist these firms achieve a level of international competitiveness in this area through (a) the investigation and longitudinal monitoring of the current status of and further developments in intelligent agent technologies, and (b) the investigation of emergent applications and successful approaches for the adoption and implementation of these key technologies in the provision of improved value-added customer services. We argue that a multi-disciplinary integration of e-business strategy, finance, intelligent agent architectures and knowledge technologies offer a previously unexplored solution to the documented challenges confronting Australia's Wholesale Financial Services industry. Agent architectures transcend traditional information system designs for applications that require complex, highly customized transactions in an open exception rich environment where responsiveness is imperative. We show that agent architectures naturally support e-business innovation by providing a framework for genuine dynamic information system development, which in turn leads to the kind of system agility that is crucial in the current highly competitive global financial environment. Agents can evolve over time iteratively and independently, without impacting other agents. A key difference between agent architectures and more traditional architectures is that instead of building relationships between software components at design time, agent architectures allow relationships to be formed on the fly at run-time. This results in highly responsive systems that are sensitive to the dynamic financial services context and that may be opportunistic in any competitive complex business environment. The ability to be opportunistic is particularly important in the current highly competitive global wholesale financial services industry.

this is a potentially game-changing development that could come from fusing blockchain technology with IoT and artificial intelligence (AI) to improve the efficiency of smart contracts in the banking industry. We can greatly increase the transparency, security, and efficiency of banking transactions by utilizing the decentralized and rigid nature of blockchain technology, real-time data from Internet of Things (IoT) devices, and artificial intelligence's (AI) intelligent decision-making capabilities. These three things working together make this possible. This paper examines the methods by which these technologies can facilitate operational simplification, fraud reduction, and stakeholder confidence building. The research specifically focused on how these technologies are used. We have out a thorough analysis of numerous fabrics and case studies to highlight the synergistic advantages of this integration. This helps pave the way for it by making a more open and responsible financial environment feasible. By addressing the challenges that are now being encountered and identifying the unspoken pathways that will lead to the deployment of these cutting-edge technologies in the banking institution, this investigation seeks to shed light on the future of financial transactions. We shall conduct this research too.