INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS
Scope & Guideline
Pioneering Theories for Tomorrow's Economists
Introduction
Aims and Scopes
- Financial Markets and Instruments:
The journal explores various aspects of financial markets, including market efficiency, volatility dynamics, and the interplay between financial instruments such as stocks, bonds, and cryptocurrencies. - Economic Policy and Regulation:
Research often focuses on the effects of economic policies and regulatory frameworks on market behavior, financial stability, and institutional effectiveness, providing insights into policy implications. - Corporate Governance and Financial Performance:
The journal addresses the relationship between corporate governance structures and financial performance, examining how governance practices influence risk management and stakeholder engagement. - Sustainable Finance and ESG:
A significant focus is placed on sustainable finance, including environmental, social, and governance (ESG) considerations, and their impact on investment decisions and corporate behavior. - Emerging Markets and Development:
The journal provides a platform for research on emerging economies, investigating issues related to financial inclusion, macroeconomic stability, and the role of international trade. - Behavioral Finance and Investor Sentiment:
Studies often delve into behavioral finance, examining how investor sentiment and psychological factors influence market dynamics and decision-making processes. - Risk Management and Financial Stability:
The journal emphasizes research on risk management strategies, systemic risk, and the resilience of financial institutions in the face of economic shocks.
Trending and Emerging
- Cryptocurrency and Digital Finance:
There is a marked increase in studies related to cryptocurrencies, blockchain technology, and their impact on traditional financial markets, reflecting the growing interest in digital finance. - Climate Finance and Sustainability:
Research focusing on the intersection of finance and sustainability, particularly regarding climate transition risks and ESG performance, is gaining prominence as global awareness of environmental issues rises. - Impact of Economic Policy Uncertainty:
An emerging theme involves the analysis of how economic policy uncertainty affects financial markets and investment decisions, particularly in the context of recent global crises. - Behavioral Economics and Investor Behavior:
There is a growing interest in understanding the behavioral aspects of finance, including how emotions and cognitive biases influence investor decisions and market outcomes. - Machine Learning and AI in Finance:
The application of machine learning and artificial intelligence techniques in financial modeling and risk assessment is becoming increasingly prevalent, showcasing innovation in quantitative finance. - Cross-Border Economic Analysis:
Research examining the implications of cross-border investments and global economic interdependencies is on the rise, reflecting the interconnected nature of modern economies.
Declining or Waning
- Traditional Banking Models:
Research focused on traditional banking systems and their operations may be waning, as the rise of fintech and alternative financial services reshapes the landscape. - Static Economic Models:
The reliance on static economic models without considering dynamic interactions and real-time data analysis appears to be less prevalent, as researchers seek more adaptable frameworks. - Local Market Analyses:
There seems to be a decline in studies exclusively focused on local market conditions without broader international comparisons, reflecting a trend towards more globalized perspectives. - Conventional Investment Strategies:
As interest in sustainable and socially responsible investing grows, traditional investment strategies lacking ESG considerations may be receiving less attention. - Historical Economic Analysis:
Research centered solely on historical economic events without linking them to contemporary issues may be diminishing, as the focus shifts to forward-looking analyses and predictive models.
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