Focus and Scope

Focus

Journal of Actuarial, Finance and Risk Management (JAFRM) focuses on theoretical, methodological, and applied research in actuarial mathematics, financial mathematics, finance, risk management, data science, and applied statistics.

The journal emphasizes the development and application of mathematical, statistical, computational, and data-driven methods to address problems involving financial markets, insurance, actuarial risk, investment, portfolio management, and quantitative risk management.

JAFRM welcomes both theoretical contributions and empirical studies, particularly research that demonstrates methodological innovation, practical relevance, or meaningful applications in actuarial and financial problems.

Scope

JAFRM welcomes original research articles covering, but not limited to, the following areas:

1. Actuarial Mathematics and Insurance

  • Actuarial mathematics

  • Life insurance mathematics

  • Non-life insurance mathematics

  • Survival models and mortality analysis

  • Actuarial risk theory

  • Loss models and aggregate claims

  • Credibility theory

  • Premium calculation and pricing

  • Reserving and insurance liabilities

  • Reinsurance

  • Pension and retirement mathematics

  • Solvency and capital requirements

  • Insurance risk management

  • Catastrophe and climate-related insurance risk

2. Financial Mathematics and Quantitative Finance

  • Financial mathematics

  • Mathematical finance

  • Asset pricing

  • Portfolio theory and optimization

  • Investment analysis

  • Risk–return analysis

  • Derivatives and option pricing

  • Stochastic processes and stochastic modeling

  • Interest rate models

  • Value at Risk and Expected Shortfall

  • Financial risk management

  • Algorithmic and quantitative trading

  • Asset allocation

  • Dynamic portfolio management

3. Finance and Risk Management

  • Corporate finance

  • Investment management

  • Banking and financial risk

  • Credit risk

  • Market risk

  • Liquidity risk

  • Operational risk

  • Enterprise risk management

  • Financial stability

  • Sustainable finance and climate-related financial risk

  • Behavioral finance

  • Financial decision-making

4. Data Science and Machine Learning for Finance and Actuarial Applications

  • Data science for actuarial and financial applications

  • Machine learning for risk modeling

  • Predictive modeling

  • Classification and regression

  • Deep learning

  • Explainable Artificial Intelligence (XAI)

  • Artificial intelligence in finance and insurance

  • Time-series analysis and forecasting

  • Big data analytics

  • Financial data mining

  • Alternative data for financial and actuarial modeling

  • Machine learning-based portfolio optimization

  • AI-based credit scoring and risk assessment

5. Applied Statistics

  • Statistical modeling

  • Applied probability and statistics

  • Multivariate statistical analysis

  • Time-series analysis

  • Survival analysis

  • Regression modeling

  • Bayesian statistics

  • Statistical learning

  • Multivariate and high-dimensional data analysis

  • Statistical forecasting

  • Simulation and computational statistics

  • Statistical methods for financial and actuarial data

6. Emerging Applications and Interdisciplinary Research

JAFRM also welcomes interdisciplinary research that integrates mathematics, statistics, actuarial science, finance, data science, and computational methods to address emerging problems in risk and uncertainty.

Examples include:

  • AI and machine learning for insurance and finance

  • Climate risk and sustainable finance

  • Financial technology (FinTech)

  • InsurTech

  • Digital finance

  • Quantitative risk analytics

  • Computational actuarial science

  • Data-driven risk management

  • Mathematical and statistical approaches to emerging financial and insurance problems