International Journal of Financial Engineering

Scope & Guideline

Pioneering solutions at the intersection of finance and technology.

Introduction

Welcome to the International Journal of Financial Engineering information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of International Journal of Financial Engineering, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN2424-7863
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationINT J FINANC ENG / Int. J. Financ. Eng.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE

Aims and Scopes

The International Journal of Financial Engineering focuses on advancing the field of financial engineering through the publication of high-quality research that addresses complex financial challenges and innovations. It encompasses a wide range of methodologies and theoretical frameworks to explore various aspects of finance and economics.
  1. Financial Risk Modeling and Management:
    Research in this area includes the development and application of models for assessing and managing financial risks, including credit risk, market risk, and operational risk, utilizing quantitative methods and statistical techniques.
  2. Quantitative Finance and Algorithmic Trading:
    This scope focuses on the use of quantitative methods, machine learning, and algorithmic strategies in trading and investment, including the development of predictive models and trading algorithms.
  3. Behavioral Finance and Market Dynamics:
    Exploration of how psychological factors impact financial decision-making and market behaviors, including sentiment analysis and the effects of social media on financial markets.
  4. Corporate Finance and Governance:
    Research addressing corporate financial strategies, capital structure, governance issues, and the impact of regulation on firm performance and risk management.
  5. Sustainable Finance and Environmental Economics:
    Examination of the intersection between finance and sustainability, including green finance, ESG (Environmental, Social, Governance) considerations, and the financial implications of climate change.
  6. Fintech Innovations and Financial Technologies:
    Investigation into the latest financial technologies, including blockchain, cryptocurrencies, digital banking, and their implications for traditional financial systems.
The International Journal of Financial Engineering has seen an emergence of several trending themes, reflecting the evolving nature of finance and the integration of technology into financial practices. These themes highlight the journal's responsiveness to contemporary issues and innovations in the field.
  1. Machine Learning and Artificial Intelligence in Finance:
    There is a significant increase in research utilizing machine learning and AI techniques for predictive modeling, risk assessment, and investment strategies, indicating a shift towards data-driven financial analysis.
  2. Cryptocurrency and Blockchain Technology:
    Research focusing on cryptocurrencies, blockchain applications, and their impact on financial markets has gained momentum, reflecting the growing importance of digital currencies and decentralized finance.
  3. Digital Transformation in Financial Services:
    The integration of digital technologies in financial services, including the rise of fintech companies and digital banking solutions, has become a prominent area of research.
  4. Sustainability and Green Finance:
    An increased focus on sustainability in finance, including the assessment of ESG criteria and the financial implications of climate change, reflects a growing recognition of the importance of sustainable investment practices.
  5. Behavioral and Social Finance:
    Emerging interest in the psychological and social factors influencing investment decisions and market behavior, particularly in light of recent market volatility and the impact of social media.
  6. Risk Management Innovations:
    Research into new methodologies for risk management that incorporate real-time data analytics and advanced modeling techniques is on the rise, indicating a shift towards more proactive risk assessment strategies.

Declining or Waning

Over recent years, certain themes within the International Journal of Financial Engineering have shown a decline in publication frequency or relevance. This may reflect shifts in research focus or emerging priorities within the field.
  1. Traditional Economic Theories:
    Research based on classical economic theories and models, such as those focusing exclusively on deterministic approaches without incorporating recent developments in behavioral finance or fintech, has seen a decline as newer, more dynamic methodologies gain traction.
  2. Static Financial Models:
    Static models that do not account for the evolving nature of financial markets and investor behavior have become less prominent, as the field increasingly emphasizes adaptive and real-time modeling techniques.
  3. Conventional Risk Assessment Techniques:
    Older methodologies for risk assessment that do not leverage advancements in data analytics and machine learning have diminished in favor of more robust, data-driven approaches.
  4. Simple Statistical Methods in Finance:
    There is a waning interest in basic statistical methods that do not incorporate machine learning or advanced computational techniques, as researchers opt for more sophisticated analytical frameworks.
  5. Generalized Economic Impact Studies:
    Broad studies that do not provide specific insights into financial engineering practices or applications are becoming less frequent, with a shift towards more targeted, actionable research.

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