Journal of Finance and Data Science

SJR Rank #12,510H-index: 26SJR: 0.472Best quartile: Q2Open AccessAPC: US$550Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

KeAi Communications Co.

Country

China

Type

journal

SJR by Edition

2022202500.20.40.60.8

Subject Categories

  • Applied MathematicsQ2
  • Business, Management and Accounting (miscellaneous)Q2
  • Economics and EconometricsQ2
  • FinanceQ2
  • Computer Science ApplicationsQ3
  • Statistics and ProbabilityQ3

Areas: Business, Management and Accounting · Computer Science · Economics, Econometrics and Finance · Mathematics

Most published research topics

Financial Markets and Investment StrategiesStock Market Forecasting MethodsMarket Dynamics and VolatilityFinancial Risk and Volatility ModelingComplex Systems and Time Series AnalysisEnergy Load and Power ForecastingCredit Risk and Financial RegulationsMonetary Policy and Economic ImpactStochastic processes and financial applicationsBanking stability, regulation, efficiency

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs020406080

Documents per Year

2022202506121824

Detailed Information

ISSN

2405-9188

SJR Best Quartile

Q2

Region

Asiatic Region

Citations per Document (2 years)

2.83

References per Document

44.61

Coverage

2015-2025

Scope

The Journal of Finance and Data Science (JFDS) is the leading analytical journal on finance and data science, providing detailed analyses of theoretical and empirical foundations and their applications in financial economics. JFDS publishes evaluations of both well-established and new theories using financial data, data-scientific measurements of variables relevant to financial decision-making and financial service, the econometrics of financial market data, and the development of new econometric methodologies with financial applications. JFDS also provides readers with results-oriented computer hardware and software treatments and enhanced treatment of data information for practical finance products and techniques. Big data financial economic analytics has led to new challenges and advanced state-of-the-art computer science techniques; in return, computer data science has provided indispensable techniques for financial analysis.

Metrics from SCImago Journal Rank 2025. View on SCImago