Journal of Empirical Finance

Scope & Guideline

Exploring the empirical foundations of global economies.

Introduction

Welcome to your portal for understanding Journal of Empirical Finance, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0927-5398
PublisherELSEVIER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1993 to 2024
AbbreviationJ EMPIR FINANC / J. Empir. Financ.
Frequency5 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The Journal of Empirical Finance focuses on empirical research that contributes to the understanding of financial markets, instruments, and corporate finance. It aims to provide a platform for innovative methodologies and analyses that enhance the field of finance through rigorous empirical investigation.
  1. Empirical Analysis of Financial Markets:
    The journal emphasizes studies that apply empirical methods to analyze various aspects of financial markets, including stock prices, volatility, and market efficiency.
  2. Risk Management and Asset Pricing:
    Research on risk assessment, management strategies, and asset pricing models is a core focus, contributing to the understanding of how risks are priced in different markets.
  3. Corporate Finance and Governance:
    The journal publishes studies that explore corporate governance, tax strategies, and the financial implications of managerial decisions, providing insights into firm behavior.
  4. Machine Learning and Financial Forecasting:
    There is a growing interest in applying machine learning techniques for financial forecasting, improving predictive accuracy and enhancing decision-making in finance.
  5. International Finance and Market Dynamics:
    The journal covers international finance topics, examining how global events and policies affect local markets and investment strategies.
  6. Behavioral Finance Insights:
    Research that incorporates behavioral aspects of finance, such as investor sentiment and decision-making biases, is also a significant area of interest.
The Journal of Empirical Finance is witnessing the emergence of new research themes that reflect contemporary issues and advancements in finance. The following themes have gained traction in recent years, indicating a shift in scholarly focus.
  1. Machine Learning Applications in Finance:
    There is a significant uptick in studies utilizing machine learning techniques for asset pricing, risk management, and forecasting, highlighting the integration of advanced analytics into financial research.
  2. Sustainability and ESG Factors:
    Research exploring Environmental, Social, and Governance (ESG) factors and their impact on investment performance and corporate behavior is gaining popularity, reflecting growing investor interest in sustainability.
  3. Cryptocurrency and Blockchain Analysis:
    The rise of cryptocurrencies has led to increased research on their market dynamics, pricing mechanisms, and implications for traditional finance, indicating a shift towards digital assets.
  4. Behavioral Finance and Investor Psychology:
    Emerging studies are focusing more on behavioral finance, examining how psychological factors influence market behavior and investment decisions, providing deeper insights into market anomalies.
  5. Impact of Policy Changes on Financial Markets:
    Research analyzing the implications of regulatory changes, monetary policy shifts, and economic uncertainty on market behavior is trending, reflecting the importance of policy in financial dynamics.

Declining or Waning

While the Journal of Empirical Finance has consistently explored diverse themes, some areas appear to be losing prominence in recent publications. The following themes have been observed to decline in frequency or intensity.
  1. Traditional Asset Pricing Models:
    There has been a noticeable decrease in research focused solely on traditional asset pricing models without empirical innovations, suggesting a shift towards more complex, data-driven methodologies.
  2. Static Risk Metrics:
    Studies relying on static measures of risk, such as simple volatility calculations, have become less frequent, as researchers increasingly adopt dynamic and multifactor approaches.
  3. Localized Market Studies:
    Research focusing exclusively on localized markets without consideration of global interconnectedness is waning, reflecting a broader trend towards examining cross-border implications.
  4. Historical Financial Analysis:
    While historical financial analysis remains relevant, there is a declining emphasis on purely historical studies, with more focus shifting to real-time data analytics and machine learning techniques.
  5. Conventional Fund Performance Studies:
    Standard studies on mutual fund performance based on traditional metrics are becoming less common, as the field moves towards more nuanced analyses involving behavioral and psychological factors.

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