Mathematical and Statistical Methods for Actuarial Sciences and Finance

By Marco Corazza, Claudio E. A. Pizzi. 2014

73 citations recorded by the source corpus.

This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 – Mathematical and Statistical Methods for Actuarial Sciences and Finance", held in Paris (France) at the Universite Paris-Dauphine from March 30 to April 1, 2016. The contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field, one that yields unique theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest. This volume is addressed to academicians, researchers, Ph.D. students and professionals

Subfields: Economics and Econometrics, Finance, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/af8b2286432f18ed017ec05cfbfb795a9977c224

Citations in the corpus

• Domestic and multilateral effects of capital controls in emerging markets (2018, unknown): “In the post-crisis period, neither gross inflows nor outflows fell in response to these tightening measures, perhaps due to abundant global liquidity and the lower profitability of external investment opportunities.”