Handbook in Monte Carlo Simulation Handbook in Monte Carlo Simulation
Wiley Handbooks in Financial Engineering and Econometrics

Handbook in Monte Carlo Simulation

Applications in Financial Engineering, Risk Management, and Economics

    • $169.99
    • $169.99

Publisher Description

An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics

Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics. Written by an international leading expert in thefield, the handbook illustrates the challenges confronting present-day financial practitioners and provides various applicationsof Monte Carlo techniques to answer these issues. The book is organized into five parts: introduction andmotivation; input analysis, modeling, and estimation; random variate and sample path generation; output analysisand variance reduction; and applications ranging from option pricing and risk management to optimization.

The Handbook in Monte Carlo Simulation features:
An introductory section for basic material on stochastic modeling and estimation aimed at readers who may need a summary or review of the essentials Carefully crafted examples in order to spot potential pitfalls and drawbacks of each approach An accessible treatment of advanced topics such as low-discrepancy sequences, stochastic optimization, dynamic programming, risk measures, and Markov chain Monte Carlo methods Numerous pieces of R code used to illustrate fundamental ideas in concrete terms and encourage experimentation
The Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics is a complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, as well as a supplement for MBA and graduate-level courses on Monte Carlo methods and simulation.

GENRE
Business & Personal Finance
RELEASED
2014
June 20
LANGUAGE
EN
English
LENGTH
688
Pages
PUBLISHER
Wiley
SELLER
John Wiley & Sons Canada, Ltd.
SIZE
18.5
MB

More Books Like This

Quantitative Methods Quantitative Methods
2012
Numerical Methods in Finance and Economics Numerical Methods in Finance and Economics
2013
Numerical Methods and Optimization in Finance Numerical Methods and Optimization in Finance
2019
Quantitative Finance Quantitative Finance
2019
Essential Mathematics for Market Risk Management Essential Mathematics for Market Risk Management
2011
Approximate Dynamic Programming Approximate Dynamic Programming
2011

More Books by Paolo Brandimarte

From Shortest Paths to Reinforcement Learning From Shortest Paths to Reinforcement Learning
2021
An Introduction to Financial Markets An Introduction to Financial Markets
2018
Optimal Financial Decision Making under Uncertainty Optimal Financial Decision Making under Uncertainty
2016
Numerical Methods in Finance and Economics Numerical Methods in Finance and Economics
2013
Quantitative Methods Quantitative Methods
2012

Other Books in This Series

Extreme Events in Finance Extreme Events in Finance
2016
Handbook of High-Frequency Trading and Modeling in Finance Handbook of High-Frequency Trading and Modeling in Finance
2016
Handbook of Fixed-Income Securities Handbook of Fixed-Income Securities
2016
Advances in Heavy Tailed Risk Modeling Advances in Heavy Tailed Risk Modeling
2015
Fundamental Aspects of Operational Risk and Insurance Analytics Fundamental Aspects of Operational Risk and Insurance Analytics
2015
Handbook of Market Risk Handbook of Market Risk
2013