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Monte Carlo Simulations For Complex Option Pricing
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Book Synopsis Monte Carlo Simulations for Complex Option Pricing by : Dong-Mei Wang
Download or read book Monte Carlo Simulations for Complex Option Pricing written by Dong-Mei Wang and published by . This book was released on 2013 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monte Carlo Simulations for Complex Option Pricing by : Dong-Mei Wang
Download or read book Monte Carlo Simulations for Complex Option Pricing written by Dong-Mei Wang and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monte Carlo Methods in Finance by : Peter Jäckel
Download or read book Monte Carlo Methods in Finance written by Peter Jäckel and published by John Wiley & Sons. This book was released on 2002-04-03 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: An invaluable resource for quantitative analysts who need to run models that assist in option pricing and risk management. This concise, practical hands on guide to Monte Carlo simulation introduces standard and advanced methods to the increasing complexity of derivatives portfolios. Ranging from pricing more complex derivatives, such as American and Asian options, to measuring Value at Risk, or modelling complex market dynamics, simulation is the only method general enough to capture the complexity and Monte Carlo simulation is the best pricing and risk management method available. The book is packed with numerous examples using real world data and is supplied with a CD to aid in the use of the examples.
Book Synopsis Valuation of American Options by : David Animante
Download or read book Valuation of American Options written by David Animante and published by . This book was released on 2016 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of American style equity options as hedging instrument has gained currency in recent times. This phenomenon devolves from the ever-expanding need by individuals, corporations and governments to hedge away their financial risks and the clarion call for derivative securities that give the holder increased flexibility in exercise. Nevertheless, pricing American options is complex and there exists no analytic solution to the problem except a profusion of approximation and finite difference techniques. Indeed, many researchers have shown that these methods cannot handle multifactor situations where the underlying asset follows a jump-diffusion process and where the derivative security depends on multiple sources of uncertainty such as stochastic volatility, stochastic interest rate among others. Monte-Carlo simulation techniques therefore developed out of the search for a pricing formula that has the capacity to accommodate all forms of uncertainty and at the same time able to produce speedy and accurate results. Some scholars at first rejected these techniques as yielding inaccurate results but in recent times, many researchers have demonstrated the efficacy of Monte-Carlo simulation in option pricing. The aim of this study is to assess the effectiveness of Monte-Carlo simulation methods in comparison with other option pricing techniques. To achieve this objective, the research builds an algorithm to compute Call and Put prices based on a wide range of input parameters. It also develops a model where volatility or interest rate is stochastic and a deterministic function of time. The results indicate that Monte-Carlo simulation techniques produce option values and exercise boundaries that are very similar to the Binomial, Barone-Adesi and Whaley as well as the Explicit Finite Difference methods. The results also show that the stochastic volatility and stochastic interest rate models yield slightly different but more accurate results. Consequently, the study recommends simulation techniques that incorporate multiple sources of uncertainty simultaneously for fast, efficient and more accurate option pricing.
Book Synopsis Option Pricing Using Monte Carlo Simulation by : Padriac Walsh
Download or read book Option Pricing Using Monte Carlo Simulation written by Padriac Walsh and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monte Carlo Simulation and Option Pricing by : Kalina P. Natcheva
Download or read book Monte Carlo Simulation and Option Pricing written by Kalina P. Natcheva and published by . This book was released on 2002 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monte Carlo Simulation and Finance by : Don L. McLeish
Download or read book Monte Carlo Simulation and Finance written by Don L. McLeish and published by John Wiley & Sons. This book was released on 2011-09-13 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monte Carlo methods have been used for decades in physics, engineering, statistics, and other fields. Monte Carlo Simulation and Finance explains the nuts and bolts of this essential technique used to value derivatives and other securities. Author and educator Don McLeish examines this fundamental process, and discusses important issues, including specialized problems in finance that Monte Carlo and Quasi-Monte Carlo methods can help solve and the different ways Monte Carlo methods can be improved upon. This state-of-the-art book on Monte Carlo simulation methods is ideal for finance professionals and students. Order your copy today.
Book Synopsis Pricing American Options Using Monte Carlo Simulation by : Victoria Zhanna Averbukh
Download or read book Pricing American Options Using Monte Carlo Simulation written by Victoria Zhanna Averbukh and published by . This book was released on 1997 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis American Put Option Pricing Using a Hybrid Evolutionary Computation and Monte-Carlo Simulation Method by : Anjan Kumar Swain
Download or read book American Put Option Pricing Using a Hybrid Evolutionary Computation and Monte-Carlo Simulation Method written by Anjan Kumar Swain and published by . This book was released on 2017 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: American put option pricing is a challenging, complex problem, and existing methods to address this problem are computationally intensive. In this paper, a self-adaptive evolutionary computation method is used for computing American put option price. The proposed method essentially transforms a discrete time exercisable American option to a continuous time exercisable option. The performance of the proposed method is compared with that of plain European Monte Carlo and Binomial Lattice option values. Further, in pricing American options this method exhibited better results with considerable improvements over that of conventional Monte-Carlo simulation method. It is argued that the proposed method effectively computes the upper bound on the American put options.
Book Synopsis Monte Carlo Methods in Financial Engineering by : Paul Glasserman
Download or read book Monte Carlo Methods in Financial Engineering written by Paul Glasserman and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not." --Glyn Holton, Contingency Analysis
Book Synopsis Monte Carlo Methods for American Option Pricing by : Alberto Barola
Download or read book Monte Carlo Methods for American Option Pricing written by Alberto Barola and published by LAP Lambert Academic Publishing. This book was released on 2014-05-21 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Monte Carlo approach has proved to be a valuable and flexible computational tool in modern finance. A number of Monte Carlo simulation-based methods have been developed within the past years to address the American option pricing problem. The aim of this book is to present and analyze three famous simulation algorithms for pricing American style derivatives: the stochastic tree; the stochastic mesh and the least squares method (LSM). The author first presents the mathematical descriptions underlying these numerical methods. Then the selected algorithms are tested on a common set of problems in order to assess the strengths and weaknesses of each approach as a function of the problem characteristics. The results are compared and discussed on the basis of estimates precision and computation time. Overall the simulation framework seems to work considerably well in valuing American style derivative securities. When multi-dimensional problems are considered, simulation based methods seem to be the best solution to estimate prices since the general numerical procedures of finite difference and binomial trees become impractical in these specific situations.
Book Synopsis Advanced Monte Carlo Simulations and Option Pricing by :
Download or read book Advanced Monte Carlo Simulations and Option Pricing written by and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Pricing and Liquidity of Complex and Structured Derivatives by : Mathias Schmidt
Download or read book Pricing and Liquidity of Complex and Structured Derivatives written by Mathias Schmidt and published by Springer. This book was released on 2016-10-31 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the “strike of default” (SOD) benchmark concept. The author determines the SOD through cross-sectional pricing between the credit market and the option market, considering the same underlying. The idea of the SOD is to combine the implied probability of default from both markets to get a time-depending share price, at which the markets believe the underlying will default. By means of credit default swaps (CDS) and option pricing methods, the SOD is determined for any exchange-listed company, where option and CDS market data are available.
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.
Book Synopsis The Model Risk of Option Pricing Models when Volatility is Stochastic by : Dosub Jung
Download or read book The Model Risk of Option Pricing Models when Volatility is Stochastic written by Dosub Jung and published by . This book was released on 2000 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Real Option Pricing for Market Uncertainties by : Chin-Chuen Teoh
Download or read book Real Option Pricing for Market Uncertainties written by Chin-Chuen Teoh and published by . This book was released on 2004 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work provides a detailed explanation of several major methods used in real option analysis. The major methods include traditional Black-Scholes Option-Pricing Method, Binomial and Trinomial Lattice Methods, Monte Carlo Simulation Method, and Finite Element Method. It also shows application of these methods to solve complex option problems. The application of each technique with various examples, all written in MATLAB, is compared. The advantages and disadvantages of each method are summarized. Assumptions for each method are discussed as they represent an important element of limitation when interpreting the results. Key variables of each method are carefully discussed as each variable value affects the outcome. All methods provide similar results when the problems are simple but not when the problems are more complex. The Black-Scholes Method provides an analytical solution. Numerical solutions are presented for the Lattice Methods, Monte Carlo Simulation Method, and the Finite Element Method.
Book Synopsis Monte Carlo and Quasi-Monte Carlo Methods 2002 by : Harald Niederreiter
Download or read book Monte Carlo and Quasi-Monte Carlo Methods 2002 written by Harald Niederreiter and published by Springer. This book was released on with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: