JANOLI International Journal of Economics and Management Science
JANOLI International Journal of Economics and Management Science is an open-access journal affiliated with Shanti Educational Research Foundation India The journal focuses on disseminating the latest research in the field of economics and management science with its all applied domains and its role in decision-making, as well as their relationships to cognate disciplines including Economics, Finance, Management, blockchain Management, Marketing, Statistics, Operations Research and Engineering. The journal adheres to a stringent double-blind peer review policy to maintain the good quality of research publication. With an acceptance rate of 15% of submitted manuscripts, the journal encourages recent discoveries and innovations comprising theoretical, conceptual and empirical research in management and applied research. The Journal also publishes extensively for managerial IT professionals and industry practitioners in the fields of economics, business management, information systems and decision analysis. Multidisciplinary Subjects: Microeconomics and Behavioral Economics Macroeconomic Policy and Forecasting Development Economics and Global Trade Game Theory and Strategic Decision Making Public Finance and Fiscal Policy Innovation Economics and Technological Impact Environmental Economics and Sustainability Business Strategy and Corporate Governance Scope: Economics: Microeconomics and Macroeconomics, International Economics, Development Economics, Agricultural Economics, Labor Economics, Public Economics, Health Economics, Environmental and Resource Economics, Econometrics and Quantitative Methods, Economic Policy Analysis Management Science: Strategic Management, Organizational Behavior, Human Resource Management, Operations Management, Supply Chain Management, Marketing Management, Financial Management, Entrepreneurship and Innovation, Management Information Systems, Business Ethics and Corporate Governance Interdisciplinary Studies: Economic and Management implications of technology and innovation, Behavioral Economics and Management, Global Business and Economics, Policy and Institutional Analysis, Sustainability and Corporate Social Responsibility
Shanti Educational Research Foundation, India
The Role Of Digital Transformation in the Economic Development of Uzbekistan
Digital transformation has emerged as a crucial catalyst for economic modernisation and sustainable development in numerous emerging economies. This report analyses the impact of digital transformation on Uzbekistan's economic development, focusing specifically on the national strategy "Digital Uzbekistan – 2030." The study examines essential metrics of digital advancement, encompassing Internet prevalence, digital payment systems, fintech proliferation, and the evolution of the IT Park Uzbekistan ecosystem. The methodology relies on qualitative study of policy papers and statistical data sourced from national institutions and international organisations, including the WorldBank UNDP, and ITU. The findings indicate substantial advancement in the establishment of digital infrastructure and services. Internet penetration significantly grown during the past decade, accompanied by the rapid expansion of digital payment systems and mobile banking services. The quantity of IT enterprises functioning in IT Park Uzbekistan has increased markedly, facilitating employment creation and the growth of IT service exports. Notwithstanding these accomplishments, other obstacles persist, including regional differences in internet access, cybersecurity threats, and a deficiency of competent ICT professionals. The report indicates that ongoing investment in digital infrastructure, human capital development, and innovation ecosystems is crucial for enhancing Uzbekistan's standing in the global digital economy and fostering long-term economic competitiveness.
digital transformation; digital economy; economic development; e-government; fintech; IT Park Uzbekistan; digital infrastructure; Uzbekistan.
Digital Economy and ICY Development in Uzbekistan
The digital economy is becoming one of the most important drivers of modern economic development. Rapid digitalization affects almost all spheres of society, including government administration, business, education, healthcare, finance, and communication. Uzbekistan, as a developing country, has made significant progress in digital transformation in recent years. The government has adopted a number of strategic programs aimed at developing information and communication technologies (ICT), e-government, digital services, and innovative startups. This article analyzes the current state of the digital economy in Uzbekistan, examines the main trends in ICT development, and identifies key challenges and future prospects. Special attention is paid to the “Digital Uzbekistan - 2030” strategy, the modernization of telecommunications infrastructure, the development of digital banking, and the expansion of e-commerce. The research also considers the impact of digital technologies on employment, education, productivity, and international competitiveness. The article concludes that although Uzbekistan is making noticeable progress in the field of digital transformation, there is still a need for further reforms, international cooperation and large investments in human capital
Digital economy, information and communication technologies, digitalization, e-government, e-commerce, digital banking.
Internal Marketing in Public Healthcare: A Catalyst for Improved Patient Care and Employee Satisfaction
This paper explores the application of internal marketing (IM) as a strategic tool for gaining a competitive advantage in Korea's public medical sector. We argue that IM plays a pivotal role in enhancing organizational performance and achieving a competitive edge. Through an in-depth analysis, we investigate the relationships between IM, self-efficacy, internal customer satisfaction, service innovation, internal service quality, and competitive advantage. Our findings highlight the significant influence of IM on improving employee motivation, fostering innovation, and ensuring high-quality services, which ultimately contribute to the organization’s success in a competitive healthcare environment. The paper also emphasizes the importance of aligning internal marketing practices with the needs of employees, who are essential to delivering exceptional healthcare services. Finally, we provide both academic and practical insights, suggesting strategies for integrating IM into the public healthcare sector to enhance organizational effectiveness, improve patient care, and maintain a sustainable competitive advantage.
Copyright (c) 2024 JANOLI International Journal of Economics and Management Science
Economic Policy Uncertainty and the Pursuit of Business Sustainability
Policy shifts are inevitable and often unpredictable, introducing uncertainty that influences individual and organizational decision-making. This uncertainty spans political, social, and economic domains, frequently reflecting recent events or anticipated developments. Economic policy changes, in particular, can destabilize markets, leading to heightened volatility and shifting correlations in stock prices. When governments introduce new policies or alter existing ones, the resulting uncertainty significantly impacts the financial and operational strategies of businesses. Baker and colleagues developed the Economic Policy Uncertainty (EPU) index as a comprehensive proxy to measure this uncertainty. Their findings suggest that EPU profoundly affects both microeconomic and macroeconomic factors. For businesses striving for sustainability, this volatile environment presents unique challenges and opportunities. Firms must navigate the dual pressures of adapting to evolving policy landscapes while maintaining long-term sustainability goals. This study explores the complex relationship between economic policy uncertainty and sustainable business practices. By analysing the effects of EPU on decision-making processes, investment patterns, and operational strategies, the research highlights how businesses can mitigate risks and leverage uncertainty as a driver for innovation and resilience. Understanding these dynamics provides critical insights for policymakers and organizations aiming to foster sustainable development in an unpredictable economic environment
The Tunisian Economy Post-Revolution: Exchange Regime Insights
Over the decade following the 2011 revolution, Tunisia's exchange regime has exhibited a notable divergence between its de jure and de facto classifications. While Tunisian authorities have predominantly claimed adherence to a floating exchange regime—except during 2013–2015—the International Monetary Fund (IMF) consistently classified it as a crawl-like regime, except in 2017. This discrepancy, though not unique to Tunisia, is noteworthy given the nation’s post-revolution shift from dictatorship to democracy, a system that ostensibly demands greater transparency and accountability. The IMF’s adoption of a de facto classification framework since 1999 aimed to address such inconsistencies, yet the persistence of this divergence in Tunisia raises an important question: does this dichotomy reflect an enduring reality of Tunisia’s exchange rate policy, or is it a byproduct of limitations in the IMF’s classification methodology? This paper explores Tunisia's de facto exchange regime over the post-revolution decade. The first section provides a theoretical review of the factors contributing to divergences between de facto and de jure exchange regimes. The second section employs descriptive statistics and econometric models to empirically verify the nature of Tunisia's exchange regime during this period. By bridging theory with empirical evidence, this study seeks to contribute to the broader discourse on exchange regime transparency and its implications for economic governance in transitioning democracies.
Evaluating the Influence of Lending Procedures on Credit Risk Assessment in Private Sector Banks
This study examines strategies to minimize credit risk associated with firm loans, focusing on effective risk management techniques. The research incorporates credit risk management theories and involves a sample of 265 bank loan customers in Bangalore, who provided insights through a structured questionnaire. Key factors analysed include loan defaults, credit risk, insurance charges, interest rates, credit scores, and documentation. Descriptive and correlation analyses were used to interpret the results. Findings reveal significant relationships between credit score, insurance charges, loan defaults, and interest rates when obtaining business loans. In addition, qualitative data from email conversations with customers offer deeper insights into their perspectives. Based on these findings, the study suggests that private sector banks enhance their credit risk management practices to mitigate the risks of defaults, which can negatively impact profitability. The research highlights key challenges within the case bank's current risk management strategies and offers recommendations for addressing these issues. Further research is recommended to explore the broader implications for credit risk management in private sector banks.
PERCEIVED ADVANTAGES AND DISADVANTAGES OF GAMIFICATION IN ENTERPRISE SETTINGS: A PILOT STUDY
This article is devoted to the gamification’s advantages and disadvantages. The purpose of the study was to identify the pros and cons of gamification, which would be or has already been implemented in the enterprise. As the gamification is gaining its popularity at the moment – the conducted study reveals both sides of this concept and allow for more detailed view. The basis of the research was a pilot study conducted among polish MBA students (managers, entrepreneurs, professionals) in the year 2021. The pilot study showed that gamification is more and more popular solution used by the companies, in its few areas such as: marketing, human resources management or knowledge management. And this concept has no limits according to company’s operating sector. But, next to the visible advantages offered by gamification, some significant disadvantages have been noticed as well, such as: additional costs associated with its implementation, the risk of reluctance among the employees or it could be perceived only as a tool used for sale increase.
IMPACT OF MEDIA ON SOCIETY AND THE ECONOMICS
The paper that follows investigates the social and economic effects of media. It explores how the media affects societal norms, and individual behaviors, including political activity by drawing conclusions from peer-reviewed research. The report explores how media platforms' revenue structures are changing as well as their financial ramifications, highlighting the consequences of media piracy and media consolidation. This study promotes a varied and inclusive media environment that meets individual requirements and leads to favorable social results by emphasizing responsible media practices
THE POLISH ENERGY SECTOR CHARACTERISTICS IN COMPARISON TO EUROPEAN UNION COUNTRIES IN TERMS OF SUSTAINABLE DEVELOPMENT
In every country, the energy sector plays a very important role - from its efficient operation electricity and heat supplies depend on. Moreover, its level of efficiency can measurably affect the condition of the natural and the social environment. Therefore, the purpose of this article was to examine to what extent the Polish energy sector fulfills the framework of sustainable development conception. In order to achieve the adopted objective, comparative analyzes have been carried out among all European Union countries. It allowed to identify areas in which the Polish energy sector fully implements the principles and objectives of this concept, as well as areas where still there is a lot need to be dome. The analyzes concerned several key issues: the level of energy generated from renewable energy sources (RES), the structure of sources of raw materials for energy production, the values of regulatory indicators for sustainable energy, level of greenhouse gas and pollutants emissions by energy sector, environmental taxes paid by energy sector, environmental protection expenditure of energy sector, environmental investments and wastewater management and, last but not least, innovations expenditures of energy sector. Examining these issues makes it possible to determine the so-called “level of sustainability" or the sustainability in energy sector degree’s determination for Poland
Privacy Policy For Information And Communication Systems Of E-Business
E-business offers huge opportunities, but his conduct involves a serious threat. Numerous studies have shown that internet fraud is one of the fastest growing types of crime and the losses caused by this practice are billions of dollars annually. Purpose of this article is to introduce the basic principles of security policy in communication and information systems for e-business. The article presents the main types and sources of threats to information and information systems, and how to protect your software and personal data, for example, companies with Europe-wide operations. Pointed out ways to implement best practices that help to prevent any hazards. The domestic market for e-commerce is the fastest-growing sector of the trade. The fact is that the percentage of shops and online shopping is growing faster than the number of Internet users in Poland. In order to maintain the current pace of development of e-commerce, however, is to build public confidence in the form of exchange of goods and services. This cannot be achieved without ensuring maximum safety in all processes related to e-shopping.
THE EFFECTIVENESS OF DIFFERENT EMPLOYEE ONBOARDING PROGRAMS BY HR OF ORGANISATIONS
This study investigates the efficacy of several HR-implemented employee onboarding initiatives. Through an analysis of peer-reviewed papers, it compares socialization alongside informational approaches, and looks into the integration of virtual reality and AI-driven personalized onboarding, alongside responses to cross-cultural issues. It also looks at the effects of structured onboarding on employee retention and job satisfaction. The research highlights the importance of carefully thought-out onboarding procedures in maximizing organizational results. To improve employee experiences and build a healthy organizational culture, recommendations to feed HR experts include implementing efficient socialization techniques, investigating VR technology, and taking into account personalized AI-driven initiatives.
AI-Driven Leadership: Transforming Management Styles in the Digital Age
This research investigates the transformative influence of artificial intelligence (AI) on contemporary leadership and management styles. By exploring five sub-research questions—AI's role in decision-making, impact on leadership communication, influence on team dynamics, ethical considerations, and long-term effects on organizational culture—the study delves into AI's integration within management practices. Employing a qualitative methodology, including interviews with industry leaders and managers, the findings reveal that AI significantly enhances decision-making accuracy, personalizes leadership communication, fosters collaborative team environments, and drives innovation within organizational cultures. However, challenges such as ethical dilemmas and resistance to cultural shifts persist. The study highlights the necessity of balancing technological advancements with human-centric leadership to navigate the complexities of AI-driven management.
Copyright (c) 2025 JANOLI International Journal of Economics and Management Science
AI-Driven Change Management: The Role of Automation in Organizational
This research seeks to understand how automation affects organizational change, focusing on the change management role of automation in organizational dynamics. Five key dimensions have been explored in the study: technologies driving automation, effects on roles of employees, cultural implications, challenges in implementation, and long-term performance outcomes. Through qualitative analysis of industry case studies and expert interviews, the findings reveal that automation fosters efficiency, redefines roles toward strategic functions, and promotes a culture of innovation. However, challenges like resistance to change and technical hurdles persist. Strategic planning and leadership are crucial for balancing technological advancements with human oversight. The study concludes with insights into automation’s transformative potential while emphasizing the need for further research into its long-term organizational impacts
Personalized Marketing with AI: Revolutionizing Consumer Engagement Strategies in Marketing Management
This study investigates the transformative role of artificial intelligence (AI) in personalized marketing management, focusing on its ability to enhance consumer engagement. Through qualitative research, it explores how AI algorithms analyze consumer data, the effectiveness of personalized campaigns, behavioral impacts on consumers, ethical considerations, and the long-term strategic implications of AI in marketing. Findings reveal that AI significantly improves data-driven insights, enhances consumer interactions, and influences purchasing behavior. However, there are ethical concerns and the need for balanced AI-human collaboration, which emerge as critical challenges. The research calls for a hybrid approach in order to maintain innovation and ethical integrity.
Revolutionizing Talent Management: AI's Impact on Employee Performance and Retention
This research focuses on the transformative role of artificial intelligence in the use of talent management, including improving staff performance and retention. The study delves into how artificial intelligence impacts performance evaluation, career development, employee engagement strategies, predictive analytics regarding retention, and ethics. Using qualitative methods, such as interviews and thematic analysis, to identify the role of artificial intelligence in providing more precise, customized, and efficient talent management solutions. AI increases the performance and engagement of employees but brings about problems of losing human connections, issues of equity, and concerns of privacy. The research will help to bridge these gaps on understanding long-term effectiveness and ethics of AI in HRM.
The Impact of Artificial Intelligence on the Evolution of Agile Project Management Techniques
This study discusses the integration of Artificial Intelligence into agile project management and its outcomes. It goes further to look at how AI is enhancing collaboration, automating work, improving decision-making, and optimizing resource utilization and dealing with challenges in agile frameworks. Using a qualitative research methodology, it collects information from case studies and expert interviews. Findings show how AI can facilitate efficiency and agility in agile project management but creates integration challenges in terms of cultural resistance and the need for retraining. This study highlights AI's transformative impact on the practices of project management and has implications for theory and practice in the field.
Risk Management in the Digital Age: Leveraging AI for Predictive Analysis and Mitigation
With the digital era, Artificial Intelligence (AI) plays an evolving role in the process of risk management-from mere support in decision-making processes to now playing an essential role in predictive analysis and risk mitigation. The paper will explain how AI, particularly machine learning and predictive analytics, can better real-time risk identification, market trend forecasting, and develop proactive risk management strategies. Through a quantitative research approach that combines surveys, case studies, and performance metrics from 2015 to 2023, the study delves into the impact of AI across various industries. Key findings indicate that models driven by AI outperform traditional methods in terms of risk prediction and strategy formulation, significantly improving organizational resilience and preparedness in the face of unforeseen disruptions. The study also touches on challenges, such as integrating AI into legacy risk management frameworks, ensuring ethical deployment, and maintaining data privacy. The paper concludes with recommendations for leveraging AI to enhance risk management practices and future research directions.
AI in Talent Management: Transforming Recruitment, Retention, and Employee Engagement
This research paper looks at how talent management in Human Resources has become transformed by Artificial Intelligence with focus on recruitment, retention and employee engagement. In that regard, the paper considers a qualitative approach based on expert interviews and case studies to investigate how the two AI tools, such as machine learning and predictive analytics, are changing HR's ways of doing things. The paper identifies major fields where AI enhances the recruitment process, streamlines performance, personalizes employee engagement, and optimizes retention. Ethical concerns with regards to data privacy, bias in algorithms, and the need for transparency in handling these issues are discussed on how organizations are meeting challenges to ensure fairness in deploying AI. The findings indicate that AI lets HR departments make more data-based decisions, increase workforce satisfaction, and reduce turnover, an approach to talent management made more efficient and effective in its application.
Enhancing Customer Experience: AI Applications in CRM and Customer Insights
This paper researches the transformative role AI technologies play in customer relationship management (CRM), paying special attention to advanced tools such as machine learning and natural language processing. As such, it highlights an impact of AI on making complex tasks automated, segmentation of customers, and production of real-time insights for customers. The paper also elaborates on how AI-related personalization helps in greater customer engagement and retention by discussing the integration of legacy systems with AI. Through interviews of CRM professionals and case studies, positive business outcomes arise including increased customer loyalty and satisfaction, as well as higher revenue growth. Thus, the findings provide even further insight into the operational benefits of AI, creating real-world practical knowledge from applying AI in CRM systems.
Streamlining Operations: The Role of Artificial Intelligence in Workflow Automation
This research delves into the role of AI-driven workflow automation in boosting the operational efficiency of various sectors. Qualitative research has been conducted through interviews and case studies to understand how AI optimizes process flows, improves predictive accuracy, and enhances real-time resource allocation. The findings underscore AI's ability to dynamically adjust workflows, address integration challenges with legacy systems, and provide sustained efficiency gains. The study also highlights the ability of AI to transform static traditional processes into agile and responsive systems. The research is limited to specific sectors, yet it offers insights into how AI can be practically applied in workflow optimization, hence providing a basis for further exploration into its broader impacts across industries.
Revolutionizing Decision-Making: AI-Powered Tools for Modern Management
It addresses the transformational impact that AI-based tools have been having on managerial decision making in contemporary organizations. In this research, a qualitative methodology was used to establish a deeper understanding of a case study, interviews, and additional data sources-including industry reports and testimonies from experts. Overall, it was found to have great improvements in data analysis efficiency, prediction accuracy, and speed and quality of decision making, evidencing that AI can radically transform the traditional management functions. However, integration barriers, ethical considerations, and the need for continuous updates of the model are also critical areas that require focus. The study highlights robust ethical frameworks and adaptive AI systems to ensure responsible and effective AI implementation. In this regard, these results will add more depth into understanding the role of AI in management and provide an excellent insight for both research and practical application. Future studies should include varied industry settings and aim at the further development of ethical guidelines and adaptive AI technologies to improve the generalizability and applicability of these results.
Unveiling the Asymmetric Impact of Digital Financial Inclusion on Micro-Enterprise Performance: Evidence from Emerging Economies and the Moderating Role of Institutional Quality
This research explores the asymmetric effect of digital financial inclusion (DFI) on the performance of micro-enterprises in emerging markets, taking into account the moderating effect of institutional quality. Drawing upon a rich dataset that covers a range of indicators of DFI and micro-enterprise performance, this study uses a strong econometric methodology that incorporates regression analysis and interaction effects to investigate the intricate connections. The evidence confirms a more detailed picture, such that whereas access to digital financial services in general benefits micro-enterprises, the quantitative impact differs considerably depending on the relevant DFI dimension and the underlying institutional context. In particular, the research confirms that improved institutional quality serves to enhance the positive effects of DFI on micro-enterprise profitability and expansion, whereas poor institutional systems can frustrate or even reverse these gains. These findings highlight the need for complementing policies that foster both digital financial inclusion and good governance in order to ensure that the potential of DFI is fully leveraged for economic development in developing economies. The paper concludes by offering policy suggestions for strengthening institutional capacity and fitting DFI programs to the peculiar needs and circumstances of micro-enterprises.
The Asymmetric Impact of Geopolitical Risk on Renewable Energy Investment: A Cross-Country Analysis
This study examines the asymmetric effect of geopolitical risk (GPR) on renewable energy investment (REI) for a panel of developed and emerging markets. Although current literature recognizes the role of political and economic stability on investment, the precise and possibly asymmetric roles of GPR, especially its directional changes, are still relatively unexamined in the renewable energy context. Applying panel data estimation and state-of-the-art econometric methods, such as non-linear autoregressive distributed lag (NARDL) models, we investigate how positive and negative shocks in GPR impact REI. The results provide evidence of a substantial asymmetric relationship, whereby negative shocks in GPR have a larger and more negative effect on REI compared to positive shocks. This asymmetry reinforces the risk-aversion of investors in the RE sector and demonstrates the role of stable geopolitical settings in facilitating sustainable energy transitions. The implications of our work are considerable for policymakers looking to attract REI and enhance energy security in an increasingly risky world.
The Dynamic Interplay of ESG Performance, Financial Risk, and Corporate Value: A Panel Data Analysis of Emerging Market Firms
This research examines the intricate interplay between Environmental, Social, and Governance (ESG) performance, financial risk, and corporate value for emerging market companies. Based on a panel data analysis of a robust dataset across several years and covering a wide variety of companies, we examine how ESG practices affect financial risk profiles and, in turn, corporate valuation. Our results demonstrate a complex relationship wherein excellent ESG performance will reduce specific kinds of financial risk, which in turn can lead to increased corporate value. Yet, the direction and size of the effect depend on industry-specific conditions, regional differences, and on the particular ESG pillars used. The research offers important insights to investors, policymakers, and corporate leaders interested in learning about the strategic implications of bringing ESG considerations into their decision-making processes, especially in the context of the distinctive challenges and opportunities of emerging economies. We add to the extensive literature on sustainable finance by presenting empirical insights on the intertwinement of ESG, risk, and value, presenting a more comprehensive picture of what influences long-term firm performance in the 21st century.
The Asymmetric Impact of Fintech Innovation on Financial Inclusion and Economic Growth: A Cross-Country Panel Data Analysis
This article examines the effect of digital financial inclusion (DFI) on sustainable economic development in emerging markets. Using a panel dataset covering the period 2010-2023, we use the System Generalized Method of Moments (GMM) estimation method to deal with possible endogeneity issues. We find evidence of strong positive association between DFI, as captured by mobile money penetration and use of internet banking, and sustainable economic development, as represented by GDP per capita growth as well as by environmental performance indicators. The findings indicate that DFI allows for easier access to financial services, stimulates entrepreneurship, improves resource allocation efficiency, and encourages environmentally friendly practices. This research adds to the literature on the potential for fintech to bring about inclusive and sustainable development, offering insights useful to policymakers in emerging economies wishing to harness the power of digital technologies to bring about economic development and a safe environment.
The Impact of Digital Financial Inclusion on Sustainable Economic Growth: An Empirical Analysis of Emerging Economies
This study examines the effect of digital financial inclusion on sustainable economic growth in emerging markets. Using a 2010-2023 panel dataset, we apply the System Generalized Method of Moments (GMM) estimation to account for possible endogeneity issues. Our results indicate a strong positive association between DFI, captured in terms of mobile money penetration and internet banking use, and sustainable economic growth, captured by GDP per capita growth and environmental performance metrics. The evidence implies that DFI allows for increased access to financial services, encourages entrepreneurship, improves resource allocation efficiency, and induces environmentally friendly business practices. This research contributes to the emergent literature on the use of fintech as a driver of inclusive and sustainable development, offering rich insights for policy-makers in developing countries looking to harness digital technology for economic growth and environmental conservation.
Navigating the Algorithmic Shift: A Comprehensive Analysis of Algorithmic Trading's Impact on Market Efficiency, Volatility, and Regulatory Frameworks in Emerging Economies
This research paper delves into the multifaceted impact of algorithmic trading (AT) on market dynamics within emerging economies, with a particular focus on India. The study examines the influence of AT on market efficiency, volatility, and the evolving regulatory landscape. Through a rigorous literature review and quantitative analysis, we assess the benefits and risks associated with AT adoption, including its potential to enhance liquidity, reduce transaction costs, and contribute to price discovery, while also addressing concerns about increased volatility, market manipulation, and systemic risk. The research also critically evaluates existing regulatory frameworks and proposes recommendations for adapting these frameworks to effectively govern AT activities in emerging markets, fostering innovation while mitigating potential adverse consequences. The findings contribute to a deeper understanding of the complex interplay between technology, finance, and regulation in shaping the future of financial markets in the developing world
Navigating Volatility and Uncertainty: A Hybrid Forecasting Model for Strategic Investment Decisions in Emerging Markets
Emerging markets present both significant opportunities and considerable challenges for investors. High growth potential is often coupled with increased volatility and uncertainty, demanding sophisticated forecasting models for informed investment decisions. This paper proposes a novel hybrid forecasting model that integrates the strengths of traditional econometric techniques, specifically Generalized Autoregressive Conditional Heteroskedasticity (GARCH), with machine learning algorithms, such as Random Forests, to predict asset returns in emerging markets. By combining GARCH's ability to capture volatility clustering with Random Forests' capacity for non-linear pattern recognition, the hybrid model aims to enhance forecasting accuracy and improve risk management. The model's performance is evaluated using historical data from a selection of emerging market indices, demonstrating its superior predictive power compared to benchmark models. The findings provide valuable insights for investors seeking to navigate the complexities of emerging market investments and make more strategic, data-driven decisions.
The Dynamic Interplay of Behavioral Biases and Algorithmic Trading: An Agent-Based Modeling Approach to Market Efficiency
This paper investigates the complex relationship between behavioral biases exhibited by human traders and the increasing prevalence of algorithmic trading systems in financial markets. Utilizing an agent-based modeling (ABM) framework, we simulate a market environment populated by both behavioral and algorithmic agents. Behavioral agents are endowed with cognitive biases, such as loss aversion, herding, and anchoring, while algorithmic agents are programmed with rational strategies and high-frequency trading capabilities. The simulation results demonstrate that the interaction between these two agent types significantly impacts market efficiency, volatility, and price discovery. Specifically, we find that algorithmic trading can exacerbate the effects of behavioral biases, leading to increased market instability, but also possesses the potential to mitigate these biases under certain market conditions. This research contributes to a deeper understanding of the evolving dynamics of financial markets in the age of algorithmic dominance and provides insights for policymakers and market participants seeking to enhance market stability and efficiency.