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Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics
Author: interes

Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics by Paolo Brandimarte
English | 2014 | ISBN: 0470531118 | ISBN-13: 9780470531112 | 688 pages | PDF | 29,3 MB

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. Details
Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics (repost)
Author: libr

Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics by Paolo Brandimarte
English | 2014 | ISBN: 0470531118 | ISBN-13: 9780470531112 | 688 pages | PDF | 29,3 MB
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Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics
Author: Grev27

Paolo Brandimarte, "Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics"
English | ISBN: 0470531118 | 2014 | EPUB | 688 pages | 15,7 MB
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The Monte Carlo Simulation Method for System Reliability and Risk Analysis (repost)
Author: libr

The Monte Carlo Simulation Method for System Reliability and Risk Analysis by Enrico Zio
English | 2013 | ISBN-10: 1447145879 | 212 pages | PDF | 4,5 MB

Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering. Details
The Monte Carlo Simulation Method for System Reliability and Risk Analysis (repost)
Author: interes

The Monte Carlo Simulation Method for System Reliability and Risk Analysis by Enrico Zio
English | 2013 | ISBN-10: 1447145879 | 212 pages | PDF | 4,5 MB

Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering. Details
The Monte Carlo Simulation Method for System Reliability and Risk Analysis [Repost]
Author: ChrisRedfield

Enrico Zio - The Monte Carlo Simulation Method for System Reliability and Risk Analysis
Published: 2012-11-02 | ISBN: 1447145879 | PDF | 308 pages | 4 MB
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The Monte Carlo Simulation Method for System Reliability and Risk Analysis
Author: arundhati

Enrico Zio, "The Monte Carlo Simulation Method for System Reliability and Risk Analysis"
2013 | ISBN-10: 1447145879 | 212 pages | PDF | 4,5 MB
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Monte Carlo Methods in Financial Engineering (Repost)
Author: lenami

Monte Carlo Methods in Financial Engineering
Publisher: Springer | ISBN: 0387004513 | edition 2003 | PDF | 614 pages | 13,2 mb

This book develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of several of the most important models used in financial engineering. The next part describes techniques for improving simulation accuracy and efficiency. The final third of the book addresses special topics: estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios. Details
Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Forecasting, and Optimization Techniques (repost)
Author: arundhati

Johnathan Mun, "Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Forecasting, and Optimization Techniques"
2006 | ISBN-10: 0471789003 | 624 pages | PDF | 32 MB
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Monte Carlo Frameworks: Building Customisable High-performance C++ Applications (repost)
Author: interes

Daniel J. Duffy, Joerg Kienitz, "Monte Carlo Frameworks: Building Customisable High-performance C++ Applications"
2009 | ISBN: 0470060697 | 775 pages | PDF | 3,5 MB

The Monte Carlo method is now acknowledged as being one of the most robust tools for a range of applications in finance, from option pricing to risk management and optimization. One of the best languages for the development of Monte Carlo applications and frameworks is C++, an object-oriented and generic programming language which is also an industry standard.
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