StatisticalTools in Finance and Insurance presents ready-to-use solutions, theoreticaldevelopments and method construction for many practical problems inquantitative finance and insurance. Written by practitioners and leadingacademics in the field, this book offers a unique combination of topics fromwhich every market analyst and risk manager will benefit.Covering topics suchas heavy tailed distributions, implied trinomial trees, support vectormachines, valuation of mortgage-backed securities, pricing of CAT bonds,simulation of risk processes and ruin probability approximation, the book doesnot only offer practitioners insight into new methods for their applications,but it also gives theoreticians insight into the applicability of thestochastic technology. Additionally, the book provides the tools, instrumentsand (online) algorithms for recent techniques in quantitative finance andmodern treatments in insurance calculations.Written in an accessible andengaging style, this self-instructional book makes a good use of extensiveexamples and full explanations. The design of the text links theory andcomputational tools in an innovative way. All Quantlets for the calculation ofexamples given in the text are supported by the academic edition of XploRe andmay be executed via XploRe Quantlet Server (XQS). The downloadable electronicedition of the book enables one to run, modify, and enhance all Quantlets onthe spot.