Eighth International Conference on MATHEMATICAL AND STATISTICAL METHODS FOR ACTUARIAL SCIENCES AND FINANCE

Dear All,

we are glad to announce that the call for papers for the conference MAF 2018 — Mathematical and Statistical Methods for Actuarial Sciences and Finance is open.

MAF 2018 will be held on April 4-6, 2018 at Universidad Carlos III de Madrid (Campus Madrid-Puerta de Toledo), Spain.

Our website address is http://www.est-econ.uc3m.es/maf2018/.

Interested people should submit a 1-page abstract within December 1, 2017.

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 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, all 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) and Paris (2016).

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

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