North American Journal of Economics and Finance
Scope & Guideline
Uncovering insights in finance and economics.
Introduction
Aims and Scopes
- Empirical Analysis of Financial Markets:
The journal publishes research that employs empirical methods to analyze financial markets, including stock, bond, and commodity markets. This includes studies on market volatility, risk management, and the effects of macroeconomic factors. - Interconnectedness of Financial Systems:
Research exploring the interconnectedness of financial markets, including contagion effects, spillover analysis, and the impact of global economic events on local markets is a core focus area. - Sustainable Finance and ESG:
The journal emphasizes studies related to sustainable finance, environmental, social, and governance (ESG) criteria, and their implications for investment strategies and corporate behavior. - Innovative Financial Instruments and Risk Management:
There is a significant focus on the valuation and risk management of innovative financial instruments, such as derivatives, options, and cryptocurrencies, which reflects the evolving landscape of the finance industry. - Behavioral Finance:
The journal also addresses behavioral finance, examining how psychological factors influence investor behavior and market dynamics, contributing to a deeper understanding of market anomalies. - Policy Analysis and Economic Modeling:
The journal aims to provide insights into economic policy through rigorous modeling and analysis, particularly how policies affect financial stability, market efficiency, and economic growth.
Trending and Emerging
- Cryptocurrencies and Digital Assets:
Recent publications indicate a growing interest in cryptocurrencies and digital assets, exploring their role in investment portfolios, risk management, and market behavior, especially in response to global events. - Environmental Finance and Climate Risk:
There is a significant increase in research focusing on climate risk and its impact on financial markets, as well as the role of green bonds and sustainable investment strategies in mitigating these risks. - Machine Learning and AI in Finance:
The application of machine learning and artificial intelligence in financial modeling, forecasting, and risk assessment is emerging as a key area of research, demonstrating the integration of technology in finance. - Behavioral Insights in Financial Decision-Making:
Studies examining the psychological factors that influence investor behavior and market outcomes are becoming increasingly prevalent, reflecting a shift towards understanding behavioral finance. - Impact of Global Events on Financial Stability:
Research analyzing the effects of global events, such as pandemics and geopolitical risks, on financial stability and market dynamics is gaining importance, highlighting the interconnectedness of global markets.
Declining or Waning
- Traditional Economic Theories:
There has been a noticeable decrease in the publication of papers strictly adhering to traditional economic theories, as newer methodologies and interdisciplinary approaches gain traction. - Static Risk Assessment Models:
Static models of risk assessment that do not incorporate time-varying dynamics or behavioral factors are appearing less frequently, indicating a shift towards more dynamic and complex models. - Narrow Regional Focus:
Research focusing solely on specific local or regional markets without considering global interconnectedness is becoming less common, as the journal increasingly emphasizes broader, comparative analyses. - Purely Theoretical Studies:
The journal is moving away from purely theoretical studies that do not include empirical testing or practical applications, reflecting a preference for research that provides actionable insights. - Conventional Portfolio Management Strategies:
There is a decline in papers discussing conventional portfolio management strategies, as the focus shifts towards innovative strategies that incorporate behavioral finance and machine learning techniques.
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