Quantitative Finance and Economics

Scope & Guideline

Unlocking Financial Potential with Data-Driven Research

Introduction

Welcome to the Quantitative Finance and Economics 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 Quantitative Finance and Economics, 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
ISSN2573-0134
PublisherAMER INST MATHEMATICAL SCIENCES-AIMS
Support Open AccessYes
CountryUnited States
TypeJournal
Convergefrom 2023 to 2024
AbbreviationQUANT FINANC ECON / Quant. Financ. Econ.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressPO BOX 2604, SPRINGFIELD, MO 65801-2604, UNITED STATES

Aims and Scopes

The journal 'Quantitative Finance and Economics' is dedicated to advancing the understanding of financial markets and economic dynamics through quantitative methods. It aims to bridge theoretical frameworks with empirical research, providing a platform for innovative methodologies and insights into financial phenomena.
  1. Quantitative Financial Analysis:
    The journal emphasizes rigorous quantitative methods to analyze financial data, including econometric modeling, statistical analysis, and computational techniques.
  2. Market Dynamics and Volatility:
    A core focus is on understanding market behaviors, including volatility transmission, spillover effects, and the impact of macroeconomic factors on financial markets.
  3. Algorithmic and Machine Learning Approaches:
    The journal showcases research integrating machine learning and algorithmic trading strategies, reflecting the growing importance of technology in finance.
  4. Economic Policy Impacts:
    Research often investigates the effects of economic policies on financial markets, exploring themes such as economic uncertainty, taxation, and governance.
  5. Comparative and Cross-Regional Studies:
    The journal frequently publishes comparative studies across different regions, particularly focusing on emerging markets and their connections to developed economies.
The journal has shown a dynamic evolution in its research themes, with several emerging topics gaining traction. These trends reflect the changing landscape of finance and economics, driven by technological advancements and global economic shifts.
  1. Integration of Machine Learning and Big Data:
    There is a significant increase in research employing machine learning techniques and big data analytics to enhance financial modeling and forecasting accuracy.
  2. Environmental, Social, and Governance (ESG) Factors:
    The incorporation of ESG considerations into financial analysis is gaining prominence, reflecting a growing concern for sustainable investing and corporate governance.
  3. Cryptocurrency and Digital Finance:
    Research exploring the volatility and market dynamics of cryptocurrencies, as well as the implications of central bank digital currencies, has surged in response to the rapid development of digital financial instruments.
  4. Cross-Market Interdependencies:
    Emerging themes include the exploration of interdependencies between various financial markets, particularly in the context of global economic events and crises.
  5. The Role of Macroeconomic Indicators:
    There is a rising interest in the relationship between macroeconomic indicators and financial market performance, focusing on how these indicators influence investment decisions and risk assessment.

Declining or Waning

While 'Quantitative Finance and Economics' has consistently focused on various themes, some areas appear to be declining in prominence based on the recent publications. The following themes have seen a reduced presence in the journal's output.
  1. Traditional Financial Models:
    There is a noticeable decline in papers utilizing conventional financial models without the integration of newer methodologies such as machine learning or advanced econometrics.
  2. Single-Country Analyses:
    Research focusing solely on single-country analyses seems to be waning, with a shift towards more comparative and cross-regional studies that provide broader insights.
  3. Descriptive Studies:
    Papers that primarily offer descriptive analyses without substantial quantitative modeling or innovative methodologies are becoming less frequent.

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