As a consequence of the latest directives of the Federal Office of Public Health FOPH concerning the COVID-19 it is not possible for MAF2020 to take place on April 15-17 in Geneva. The definitive published programme will be rescheduled, as is, the earliest in September 2020 and latest in April 2021. The exact date of the rescheduling will depend on the evolution of the pandemic and you will be informed in advance.
The conference organizers apologize for all the inconvenience this causes.
Please consult the conference web page for any updates.
The International Conference MAF was born in Salerno (Italy) in 2004. Its main aim is to promote the interaction between mathematicians and statisticians, in order to provide new theoretical and methodological results, and significant practical and empirical applications in actuarial sciences and finance, by the capabilities of the interdisciplinary mathematical-and-statistical approach.

The conference covers a wide variety of subjects in actuarial science and financial fields,  both theoretical and empirical, always treated in light of the cooperation between the two quantitative approaches. It is open to both academicians and professionals, to encourage the cooperation between theoreticians and practitioners.

The international MAF conference is held every two years. Previous meetings were organized in Salerno (2004, 2006, 2010, 2014), Venice (2008, 2012) , Paris (2016) and Madrid (2018).

Keynote speakers

  • Michael O'Neill, Centre for Business Analytics, University College Dublin
  • Jaap Spronk, Erasmus School of Economics (NEH) & Rotterdam School of Management (RSM)
  • Howell Tong, University of Electronic Science and Technology of China

Topics of interest:

  • Actuarial models
  • Analysis of high frequency financial data
  • Behavioral finance
  • Carbon and green finance
  • Credit risk methods and models
  • Dynamic optimization in finance
  • Financial Econometrics
  • Forecasting of dynamical actuarial and financial phenomena    
  • Fund performance evaluation
  • Insurance portfolio risk analysis
  • Interest rate models
  • Longevity risk
  • Machine learning and soft-computing in finance
  • Management in insurance business
  • Models and methods for financial time series analysis
  • Models for financial derivatives
  • Multivariate techniques for financial markets analysis
  • Optimization in insurance
  • Pricing
  • Probability in actuarial sciences, insurance and finance
  • Real world finance
  • Risk management
  • Solvency analysis
  • Sovereign risk
  • Static and dynamic portfolio selection and management
  • Trading systems