Monte Carlo Methods in Financial Engineering

Monte Carlo Methods in Financial Engineering By Glasserman, Paul Published by Springer Publication Date: 2003-08-07 Subject: Business & Economics Economics Theory, Business & Economics Public Finance, Business & Economics Economics - Theory, Business & Economics Finance - General, Business & Economics Public Finance, Education General, Mathematics Applied, Mathematics Probability & Statistics General, Mathematics Applied, Mathematics Probability & Statistics - General, Medical General, Applied Mathematics, Business & Management, Economic Theory & Philosophy, Finance, Probability & Statistics, Civil Service And Public Sector, Economic Theory And Philosophy, Economics, Finance, Business And Management, Probability And Statistics, Stochastics, Mathematik Sonstiges, Applied Mathematics, Finance, Probability & Statistics, Business & Management, Mathematics Applied, Mathematics, Applied, Business & Economics Public Finance, Business & Economics, Public Finance, Mathematics Probability & Statistics General, Probability & Statistics, General, Business & Economics Economics Theory, Economics, Theory, Civil Service And Public Sector, Probability And Statistics, Stochastics, Economics, Finance, Business And Management, Economic Theory And Philosophy, Mathematics, Economic Theory, Mathematical Statistics, Distribution (Probability Theory, Public Finance, Anf: Mathematics Subject Keywords: Analysis; Measure; Monte Carlo Simulation; Monte Carlo method; Random variable; Stochastic Differential Equations; Stochastic calculus; quantitative finance Genre: Applied Mathematics, Finance, Probability & Statistics, Business & Management, Mathematics, Applied, Business & Economics, Public Finance, Mathematics, Probability & Statistics, General, Business & Economics, Economics, Theory, Applied Mathematics, Civil Service And Public Sector, Probability And Statistics, Stochastics, Economics, Finance, Business And Management, Economic Theory And Philosophy Target Audience: Tertiary education