Author: Harald Niederreiter
Publisher: Springer
ISBN: 9783642187445
Category : Mathematics
Languages : en
Pages : 460
Book Description
Monte Carlo and Quasi-Monte Carlo Methods 2002
Author: Harald Niederreiter
Publisher: Springer
ISBN: 9783642187445
Category : Mathematics
Languages : en
Pages : 460
Book Description
Publisher: Springer
ISBN: 9783642187445
Category : Mathematics
Languages : en
Pages : 460
Book Description
American Option Pricing Using Simulation
Author: Lars Stentoft
Publisher:
ISBN:
Category :
Languages : en
Pages : 52
Book Description
It contains an introduction to how simulation methods can be used to price American options and a discussion of various existing methods. An application using one of these methods, the regression based method, to the GARCH option pricing model is also provided.
Publisher:
ISBN:
Category :
Languages : en
Pages : 52
Book Description
It contains an introduction to how simulation methods can be used to price American options and a discussion of various existing methods. An application using one of these methods, the regression based method, to the GARCH option pricing model is also provided.
American Put Option Pricing Using a Hybrid Evolutionary Computation and Monte-Carlo Simulation Method
Author: Anjan Kumar Swain
Publisher:
ISBN:
Category :
Languages : en
Pages : 17
Book Description
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.
Publisher:
ISBN:
Category :
Languages : en
Pages : 17
Book Description
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.
Pricing American Options Using Monte Carlo Simulation
Author: Victoria Zhanna Averbukh
Publisher:
ISBN:
Category : Finansielle instrumenter
Languages : en
Pages : 138
Book Description
Publisher:
ISBN:
Category : Finansielle instrumenter
Languages : en
Pages : 138
Book Description
Monte Carlo Methods in Financial Engineering
Author: Paul Glasserman
Publisher: Springer Science & Business Media
ISBN: 0387216170
Category : Mathematics
Languages : en
Pages : 603
Book Description
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
Publisher: Springer Science & Business Media
ISBN: 0387216170
Category : Mathematics
Languages : en
Pages : 603
Book Description
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
Monte Carlo Methods for American Option Pricing
Author: Alberto Barola
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659352607
Category :
Languages : en
Pages : 160
Book Description
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.
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659352607
Category :
Languages : en
Pages : 160
Book Description
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.
Pricing American-style Securities Using Simulation
Author: Mark Nathan Broadie
Publisher:
ISBN:
Category : Options (Finance)
Languages : en
Pages : 44
Book Description
Publisher:
ISBN:
Category : Options (Finance)
Languages : en
Pages : 44
Book Description
American Option Valuation Using Monte Carlo Simulation
Author: Keng Leong Yeo
Publisher:
ISBN:
Category :
Languages : en
Pages : 126
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 126
Book Description
GPU Gems 2
Author: Matt Pharr
Publisher: Addison-Wesley Professional
ISBN: 9780321335593
Category : Computers
Languages : en
Pages : 814
Book Description
More useful techniques, tips, and tricks for harnessing the power of the new generation of powerful GPUs.
Publisher: Addison-Wesley Professional
ISBN: 9780321335593
Category : Computers
Languages : en
Pages : 814
Book Description
More useful techniques, tips, and tricks for harnessing the power of the new generation of powerful GPUs.
American Option Valuation Using Monte Carlo Simulation Under a Regime-switching Framework
Author: Javier Alberto Hernandez
Publisher:
ISBN:
Category :
Languages : en
Pages : 168
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 168
Book Description