Stochastic Simulation and Applications in Finance with MATLAB Programs book
Par sharpe allison le samedi, septembre 26 2015, 23:51 - Lien permanent
Stochastic Simulation and Applications in Finance with MATLAB Programs by Huu Tue Huynh, Van Son Lai, Issouf Soumare
Stochastic Simulation and Applications in Finance with MATLAB Programs Huu Tue Huynh, Van Son Lai, Issouf Soumare ebook
Publisher: Wiley
Format: pdf
Page: 356
ISBN: 9780470725382
Feb 7, 2013 - Joerg Kienitz and Daniel Wetterau present "Financial Modelling: Theory, Implementation and Practice with MATLAB Source", a great resource on state-of-the-art models in financial mathematics. Nov 26, 2007 - Stochastic Simulation and Applications in Finance with MATLAB Programs (The Wiley Finance Series). К сожалению, именно эта. Chapter 7: Monte Carlo Simulation and Applications. Oct 1, 2012 - Examples of how financial professionals from more than 2300 organizations worldwide use MATLAB to develop and implement financial models, analyze substantial volumes of data, and operate under tightening regulation. Stochastic Simulation and Applications in Finance with MATLAB Programs (The Wiley Finance Series). Nov 13, 2013 - Recognition of the significance of the book « Stochastic Simulation and Applications in Finance with MATLAB Programs » by Huynh, Lai and Soumaré. Jan 10, 2014 - Uncertainty in industrial practice; Simulation for business planning; Application to finance; Logistics simulation; Supply chain simulation; Software reliability simulation; Simulation in vehicular systems /avionics, satellites, AutoMOD; PMC-Kanban Simulator, Program Portfolio Simulator and Asprova Scheduler; 3D simulator tool-kits; Wolverine Software-SLX; OPNET; OMNET++; NIIST; NS-2; NS-3; ATDI ICS; Qualnet; Dymola; Matlab/Simulink; Open source tools. Http://eu.wiley.com/WileyCDA/WileyTifContents.html. Stochastic Simulation and Applications in Finance with MATLAB Programs by Huynh, Kai Soumare. Очень нужна книжка! Economists can use these same tools to investigate components of macroeconomic analysis; for example, they can assess the properties of stochastic economic models, build policy scenarios, and condition model simulations upon judgmental adjustment. Jan 26, 2010 - (4)財務工程與金融計算－Matlab 的應用 英文 (1)Java Methods for Financial Engineering: Applications in Finance and Investment (9) Stochastic Simulation and Applications in Finance with MATLAB Programs. The authors try to Nor do the authors leave out current research results: A stochastic local-volatility LIBOR Market Model is discussed as well as the adjoint method for calculating Greeks with Monte Carlo.