Simulation And Optimization In Finance

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Simulation and Optimization in Finance

Author : Dessislava A. Pachamanova
Publisher : John Wiley & Sons
ISBN 13 : 0470882123
Total Pages : 786 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Simulation and Optimization in Finance by : Dessislava A. Pachamanova

Download or read book Simulation and Optimization in Finance written by Dessislava A. Pachamanova and published by John Wiley & Sons. This book was released on 2010-09-23 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the theory and practice of financial simulation and optimization In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Applications include portfolio allocation, risk management, pricing, and capital budgeting under uncertainty. This accessible guide provides an introduction to the simulation and optimization techniques most widely used in finance, while at the same time offering background on the financial concepts in these applications. In addition, it clarifies difficult concepts in traditional models of uncertainty in finance, and teaches you how to build models with software. It does this by reviewing current simulation and optimization methodology-along with available software-and proceeds with portfolio risk management, modeling of random processes, pricing of financial derivatives, and real options applications. Contains a unique combination of finance theory and rigorous mathematical modeling emphasizing a hands-on approach through implementation with software Highlights not only classical applications, but also more recent developments, such as pricing of mortgage-backed securities Includes models and code in both spreadsheet-based software (@RISK, Solver, Evolver, VBA) and mathematical modeling software (MATLAB) Filled with in-depth insights and practical advice, Simulation and Optimization Modeling in Finance offers essential guidance on some of the most important topics in financial management.

Numerical Methods and Optimization in Finance

Author : Manfred Gilli
Publisher : Academic Press
ISBN 13 : 0128150653
Total Pages : 638 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Numerical Methods and Optimization in Finance by : Manfred Gilli

Download or read book Numerical Methods and Optimization in Finance written by Manfred Gilli and published by Academic Press. This book was released on 2019-08-30 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computationally-intensive tools play an increasingly important role in financial decisions. Many financial problems-ranging from asset allocation to risk management and from option pricing to model calibration-can be efficiently handled using modern computational techniques. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and optimization, particularly so-called heuristics. This book treats quantitative analysis as an essentially computational discipline in which applications are put into software form and tested empirically. This revised edition includes two new chapters, a self-contained tutorial on implementing and using heuristics, and an explanation of software used for testing portfolio-selection models. Postgraduate students, researchers in programs on quantitative and computational finance, and practitioners in banks and other financial companies can benefit from this second edition of Numerical Methods and Optimization in Finance. Introduces numerical methods to readers with economics backgrounds Emphasizes core simulation and optimization problems Includes MATLAB and R code for all applications, with sample code in the text and freely available for download

Financial Models Using Simulation and Optimization II

Author : Wayne L. Winston
Publisher :
ISBN 13 : 9781893281097
Total Pages : 0 pages
Book Rating : 4.2/5 (81 download)

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Book Synopsis Financial Models Using Simulation and Optimization II by : Wayne L. Winston

Download or read book Financial Models Using Simulation and Optimization II written by Wayne L. Winston and published by . This book was released on 2008-05-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Optimization in Economics and Finance

Author : Bruce D. Craven
Publisher : Springer Science & Business Media
ISBN 13 : 0387242805
Total Pages : 161 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Optimization in Economics and Finance by : Bruce D. Craven

Download or read book Optimization in Economics and Finance written by Bruce D. Craven and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Some recent developments in the mathematics of optimization, including the concepts of invexity and quasimax, have not yet been applied to models of economic growth, and to finance and investment. Their applications to these areas are shown in this book.

Simulation in Computational Finance and Economics: Tools and Emerging Applications

Author : Alexandrova-Kabadjova, Biliana
Publisher : IGI Global
ISBN 13 : 1466620129
Total Pages : 378 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Simulation in Computational Finance and Economics: Tools and Emerging Applications by : Alexandrova-Kabadjova, Biliana

Download or read book Simulation in Computational Finance and Economics: Tools and Emerging Applications written by Alexandrova-Kabadjova, Biliana and published by IGI Global. This book was released on 2012-08-31 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation has become a tool difficult to substitute in many scientific areas like manufacturing, medicine, telecommunications, games, etc. Finance is one of such areas where simulation is a commonly used tool; for example, we can find Monte Carlo simulation in many financial applications like market risk analysis, portfolio optimization, credit risk related applications, etc. Simulation in Computational Finance and Economics: Tools and Emerging Applications presents a thorough collection of works, covering several rich and highly productive areas of research including Risk Management, Agent-Based Simulation, and Payment Methods and Systems, topics that have found new motivations after the strong recession experienced in the last few years. Despite the fact that simulation is widely accepted as a prominent tool, dealing with a simulation-based project requires specific management abilities of the researchers. Economic researchers will find an excellent reference to introduce them to the computational simulation models. The works presented in this book can be used as an inspiration for economic researchers interested in creating their own computational models in their respective fields.

Handbook of Simulation Optimization

Author : Michael C Fu
Publisher : Springer
ISBN 13 : 1493913840
Total Pages : 387 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Handbook of Simulation Optimization by : Michael C Fu

Download or read book Handbook of Simulation Optimization written by Michael C Fu and published by Springer. This book was released on 2014-11-13 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Simulation Optimization presents an overview of the state of the art of simulation optimization, providing a survey of the most well-established approaches for optimizing stochastic simulation models and a sampling of recent research advances in theory and methodology. Leading contributors cover such topics as discrete optimization via simulation, ranking and selection, efficient simulation budget allocation, random search methods, response surface methodology, stochastic gradient estimation, stochastic approximation, sample average approximation, stochastic constraints, variance reduction techniques, model-based stochastic search methods and Markov decision processes. This single volume should serve as a reference for those already in the field and as a means for those new to the field for understanding and applying the main approaches. The intended audience includes researchers, practitioners and graduate students in the business/engineering fields of operations research, management science, operations management and stochastic control, as well as in economics/finance and computer science.

Advanced Simulation-Based Methods for Optimal Stopping and Control

Author : Denis Belomestny
Publisher : Springer
ISBN 13 : 1137033517
Total Pages : 364 pages
Book Rating : 4.1/5 (37 download)

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Book Synopsis Advanced Simulation-Based Methods for Optimal Stopping and Control by : Denis Belomestny

Download or read book Advanced Simulation-Based Methods for Optimal Stopping and Control written by Denis Belomestny and published by Springer. This book was released on 2018-01-31 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an advanced guide to optimal stopping and control, focusing on advanced Monte Carlo simulation and its application to finance. Written for quantitative finance practitioners and researchers in academia, the book looks at the classical simulation based algorithms before introducing some of the new, cutting edge approaches under development.

Monte Carlo Simulation with Applications to Finance

Author : Hui Wang
Publisher : CRC Press
ISBN 13 : 1439858241
Total Pages : 294 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Monte Carlo Simulation with Applications to Finance by : Hui Wang

Download or read book Monte Carlo Simulation with Applications to Finance written by Hui Wang and published by CRC Press. This book was released on 2012-05-22 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed from the author’s course on Monte Carlo simulation at Brown University, Monte Carlo Simulation with Applications to Finance provides a self-contained introduction to Monte Carlo methods in financial engineering. It is suitable for advanced undergraduate and graduate students taking a one-semester course or for practitioners in the financial industry. The author first presents the necessary mathematical tools for simulation, arbitrary free option pricing, and the basic implementation of Monte Carlo schemes. He then describes variance reduction techniques, including control variates, stratification, conditioning, importance sampling, and cross-entropy. The text concludes with stochastic calculus and the simulation of diffusion processes. Only requiring some familiarity with probability and statistics, the book keeps much of the mathematics at an informal level and avoids technical measure-theoretic jargon to provide a practical understanding of the basics. It includes a large number of examples as well as MATLAB® coding exercises that are designed in a progressive manner so that no prior experience with MATLAB is needed.

Business Economics and Finance with MATLAB, GIS, and Simulation Models

Author : Patrick L. Anderson
Publisher : CRC Press
ISBN 13 : 0203494652
Total Pages : 499 pages
Book Rating : 4.2/5 (34 download)

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Book Synopsis Business Economics and Finance with MATLAB, GIS, and Simulation Models by : Patrick L. Anderson

Download or read book Business Economics and Finance with MATLAB, GIS, and Simulation Models written by Patrick L. Anderson and published by CRC Press. This book was released on 2004-07-27 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes recent theoretical advances in Finance and Economics and shows how they can be implemented in the real world. It presents tactics for using mathematical and simulation models to solve complex tasks of forecasting income, valuing businesses, predicting retail sales, and evaluating markets and tax and regulatory problems. Busine

Financial Models Using Simulation and Optimization

Author : Wayne L. Winston
Publisher :
ISBN 13 : 9781893281035
Total Pages : 0 pages
Book Rating : 4.2/5 (81 download)

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Book Synopsis Financial Models Using Simulation and Optimization by : Wayne L. Winston

Download or read book Financial Models Using Simulation and Optimization written by Wayne L. Winston and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accompanying CD-ROM contains example files from text and trial versions of DecisionTools software.

Financial Optimization

Author : Stavros A. Zenios
Publisher : Cambridge University Press
ISBN 13 : 9780521577779
Total Pages : 374 pages
Book Rating : 4.5/5 (777 download)

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Book Synopsis Financial Optimization by : Stavros A. Zenios

Download or read book Financial Optimization written by Stavros A. Zenios and published by Cambridge University Press. This book was released on 1993 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of formal mathematical models and optimization in finance has become common practice in the 1980s and 1990s. This book clearly presents the exciting symbiosis between the fields of finance and management science/operations research. Prominent researchers present the state of the art in financial optimization, while analysts from industry discuss the latest business techniques practised by financial firms in New York, London and Tokyo. The book covers a wide range of topics: portfolio management of equities and fixed income investments, the pricing of complex insurance, mortgage and other asset-backed products, and models for risk-management and diversification.

Modeling, Simulation, and Optimization of Supply Chains

Author : Ciro D'Apice
Publisher : SIAM
ISBN 13 : 0898717000
Total Pages : 209 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Modeling, Simulation, and Optimization of Supply Chains by : Ciro D'Apice

Download or read book Modeling, Simulation, and Optimization of Supply Chains written by Ciro D'Apice and published by SIAM. This book was released on 2010-07-01 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a state-of-the-art introduction to the mathematical theory of supply chain networks, focusing on those described by partial differential equations. The authors discuss modeling of complex supply networks as well as their mathematical theory, explore modeling, simulation, and optimization of some of the discussed models, and present analytical and numerical results on optimization problems. Real-world examples are given to demonstrate the applicability of the presented approaches. Graduate students and researchers who are interested in the theory of supply chain networks described by partial differential equations will find this book useful. It can also be used in advanced graduate-level courses on modeling of physical phenomena as well as introductory courses on supply chain theory.

Nonlinear Optimization with Financial Applications

Author : Michael Bartholomew-Biggs
Publisher : Springer Science & Business Media
ISBN 13 : 0387241493
Total Pages : 276 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Nonlinear Optimization with Financial Applications by : Michael Bartholomew-Biggs

Download or read book Nonlinear Optimization with Financial Applications written by Michael Bartholomew-Biggs and published by Springer Science & Business Media. This book was released on 2006-07-21 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This instructive book introduces the key ideas behind practical nonlinear optimization, accompanied by computational examples and supporting software. It combines computational finance with an important class of numerical techniques.

Simulation and Optimization in Process Engineering

Author : Michael Bortz
Publisher : Elsevier
ISBN 13 : 0323850448
Total Pages : 428 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Simulation and Optimization in Process Engineering by : Michael Bortz

Download or read book Simulation and Optimization in Process Engineering written by Michael Bortz and published by Elsevier. This book was released on 2022-04-16 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation and Optimization in Process Engineering: The Benefit of Mathematical Methods in Applications of the Process Industry brings together examples where the successful transfer of progress made in mathematical simulation and optimization has led to innovations in an industrial context that created substantial benefit. Containing introductory accounts on scientific progress in the most relevant topics of process engineering (substance properties, simulation, optimization, optimal control and real time optimization), the examples included illustrate how such scientific progress has been transferred to innovations that delivered a measurable impact, covering details of the methods used, and more. With each chapter bringing together expertise from academia and industry, this book is the first of its kind, providing demonstratable insights. Recent mathematical methods are transformed into industrially relevant innovations. Covers recent progress in mathematical simulation and optimization in a process engineering context with chapters written by experts from both academia and industry Provides insight into challenges in industry aiming for a digitized world.

Handbook in Monte Carlo Simulation

Author : Paolo Brandimarte
Publisher : John Wiley & Sons
ISBN 13 : 1118594517
Total Pages : 688 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Handbook in Monte Carlo Simulation by : Paolo Brandimarte

Download or read book Handbook in Monte Carlo Simulation written by Paolo Brandimarte and published by John Wiley & Sons. This book was released on 2014-06-20 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Biologically Inspired Algorithms for Financial Modelling

Author : Anthony Brabazon
Publisher : Springer Science & Business Media
ISBN 13 : 3540313079
Total Pages : 276 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Biologically Inspired Algorithms for Financial Modelling by : Anthony Brabazon

Download or read book Biologically Inspired Algorithms for Financial Modelling written by Anthony Brabazon and published by Springer Science & Business Media. This book was released on 2006-03-28 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling. In a detailed introduction, the authors explain computer trading on financial markets and the difficulties faced in financial market modelling. Then Part I provides a thorough guide to the various bioinspired methodologies – neural networks, evolutionary computing (particularly genetic algorithms and grammatical evolution), particle swarm and ant colony optimization, and immune systems. Part II brings the reader through the development of market trading systems. Finally, Part III examines real-world case studies where BIA methodologies are employed to construct trading systems in equity and foreign exchange markets, and for the prediction of corporate bond ratings and corporate failures. The book was written for those in the finance community who want to apply BIAs in financial modelling, and for computer scientists who want an introduction to this growing application domain.

Financial Modeling with Crystal Ball and Excel

Author : John Charnes
Publisher : John Wiley & Sons
ISBN 13 : 1118161130
Total Pages : 449 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Financial Modeling with Crystal Ball and Excel by : John Charnes

Download or read book Financial Modeling with Crystal Ball and Excel written by John Charnes and published by John Wiley & Sons. This book was released on 2011-08-04 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Financial Modeling with Crystal Ball(r) and Excel(r) "Professor Charnes's book drives clarity into applied Monte Carlo analysis using examples and tools relevant to real-world finance. The book will prove useful for analysts of all levels and as a supplement to academic courses in multiple disciplines." -Mark Odermann, Senior Financial Analyst, Microsoft "Think you really know financial modeling? This is a must-have for power Excel users. Professor Charnes shows how to make more realistic models that result in fewer surprises. Every analyst needs this credibility booster." -James Franklin, CEO, Decisioneering, Inc. "This book packs a first-year MBA's worth of financial and business modeling education into a few dozen easy-to-understand examples. Crystal Ball software does the housekeeping, so readers can concentrate on the business decision. A careful reader who works the examples on a computer will master the best general-purpose technology available for working with uncertainty." -Aaron Brown, Executive Director, Morgan Stanley, author of The Poker Face of Wall Street "Using Crystal Ball and Excel, John Charnes takes you step by step, demonstrating a conceptual framework that turns static Excel data and financial models into true risk models. I am astonished by the clarity of the text and the hands-on, step-by-step examples using Crystal Ball and Excel; Professor Charnes is a masterful teacher, and this is an absolute gem of a book for the new generation of analyst." -Brian Watt, Chief Operating Officer, GECC, Inc. "Financial Modeling with Crystal Ball and Excel is a comprehensive, well-written guide to one of the most useful analysis tools available to professional risk managers and quantitative analysts. This is a must-have book for anyone using Crystal Ball, and anyone wanting an overview of basic risk management concepts." -Paul Dietz, Manager, Quantitative Analysis, Westar Energy "John Charnes presents an insightful exploration of techniques for analysis and understanding of risk and uncertainty in business cases. By application of real options theory and Monte Carlo simulation to planning, doors are opened to analysis of what used to be impossible, such as modeling the value today of future project choices." -Bruce Wallace, Nortel