Mathematical and Statistical Methods for Actuarial Sciences and Finance | Marco Corazza | SpringerThis content was uploaded by our users and we assume good faith they have the permission to share this book. If you own the copyright to this book and it is wrongfully on our website, we offer a simple DMCA procedure to remove your content from our site. Start by pressing the button below! Statistical Methods for Meta-Analysis. Read more.
Financial Mathematics for Actuarial Science, Lecture 1, Interest Measurement
MATHEMATICAL AND STATISTICAL METHODS FOR ACTUARIAL SCIENCES AND FINANCE
Weak form efficiency of selected European stock markets: alternative testing approaches G. Albano, M. La Rocca, C. Amendola, M. Restaino, L.
It seems that you're in Germany. We have a dedicated site for Germany. The interaction between mathematicians and statisticians reveals to be an effective approach for dealing with actuarial, insurance and financial problems, both in an academic and in an operative perspective. They cover a wide variety of subjects in actuarial, insurance and financial fields, all treated in light of the successful cooperation between the two quantitative approaches. What do distortion risk measures tell us on excess of loss reinsurance with reinstatements? Lee-Carter error matrix simulation: heteroschedasticity impact on actuarial valuations. Exact and approximated option pricing in a stochastic volatility jump-diffusion model.
Actuarial science is the discipline that applies mathematical and statistical methods to assess risk in insurance , finance and other industries and professions.
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