Perpetual American Options In Regime Switching Models
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| Author | : Svetlana Boyarchenko |
| Publisher | : |
| Total Pages | : 27 |
| Release | : 2007 |
| Genre | : |
| ISBN | : |
In the paper, we solve the pricing problem for perpetual American options in Markov-modulated Levy models. The early exercise boundaries and prices are calculated using an iteration procedure. The pricing procedure is efficient even if the number of states is large provided the transition rates are not large w.r.t. the riskless rates. The payoffs and riskless rates may depend on a state. Special cases are stochastic volatility models and models with stochastic interest rate; both must be modelled as finite-state Markov chains.
| Author | : Svetlana Boyarchenko |
| Publisher | : |
| Total Pages | : 6 |
| Release | : 2008 |
| Genre | : |
| ISBN | : |
A general numerical method for pricing American options in regime-switching jump-diffusion models of stock dynamics with stochastic interest rates and/or volatility is developed. Time derivative and infinitesimal generator of the process for factors that determine the dynamics of the interest rate and/or volatility are discretized. The result is a sequence of embedded perpetual options in a Markov-modulated Leacute;vy model. Options in this sequence are solved using an iteration method based on the Wiener-Hopf factorization. Contrary to the earlier version of the method, the interest rate may assume non-positive values. As applications, explicit algorithms for Vasicek and Black's models with jumps are derived. Numerical examples show that the option prices in these two models are very close.
| Author | : Svetlana Boyarchenko |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2006 |
| Genre | : |
| ISBN | : |
This paper provides a general framework for pricing of perpetual American and real options in regime-switching Levy models. In each state of the Markov chain, which determines switches from one Levy process to another one, the payoff stream is a monotone function of the Levy process labelled by the state, which allows for additional switching within each state of the Markov chain (payoffs can be different in different regions of the real line). As applications, we solve exit problems for a price-taking firm.
| Author | : Dmitrii S. Silvestrov |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 672 |
| Release | : 2015-03-03 |
| Genre | : Mathematics |
| ISBN | : 3110389908 |
The book gives a systematical presentation of stochastic approximation methods for discrete time Markov price processes. Advanced methods combining backward recurrence algorithms for computing of option rewards and general results on convergence of stochastic space skeleton and tree approximations for option rewards are applied to a variety of models of multivariate modulated Markov price processes. The principal novelty of presented results is based on consideration of multivariate modulated Markov price processes and general pay-off functions, which can depend not only on price but also an additional stochastic modulating index component, and use of minimal conditions of smoothness for transition probabilities and pay-off functions, compactness conditions for log-price processes and rate of growth conditions for pay-off functions. The volume presents results on structural studies of optimal stopping domains, Monte Carlo based approximation reward algorithms, and convergence of American-type options for autoregressive and continuous time models, as well as results of the corresponding experimental studies.
| Author | : Julia Di Nunno |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 532 |
| Release | : 2011-03-29 |
| Genre | : Mathematics |
| ISBN | : 364218412X |
This book presents innovations in the mathematical foundations of financial analysis and numerical methods for finance and applications to the modeling of risk. The topics selected include measures of risk, credit contagion, insider trading, information in finance, stochastic control and its applications to portfolio choices and liquidation, models of liquidity, pricing, and hedging. The models presented are based on the use of Brownian motion, Lévy processes and jump diffusions. Moreover, fractional Brownian motion and ambit processes are also introduced at various levels. The chosen blend of topics gives an overview of the frontiers of mathematics for finance. New results, new methods and new models are all introduced in different forms according to the subject. Additionally, the existing literature on the topic is reviewed. The diversity of the topics makes the book suitable for graduate students, researchers and practitioners in the areas of financial modeling and quantitative finance. The chapters will also be of interest to experts in the financial market interested in new methods and products. This volume presents the results of the European ESF research networking program Advanced Mathematical Methods for Finance.
| Author | : Anatoli? Vital?evich Svishchuk |
| Publisher | : World Scientific |
| Total Pages | : 326 |
| Release | : 2013 |
| Genre | : Business & Economics |
| ISBN | : 9814440132 |
Modeling and Pricing of Swaps for Financial and Energy Markets with Stochastic Volatilities is devoted to the modeling and pricing of various kinds of swaps, such as those for variance, volatility, covariance, correlation, for financial and energy markets with different stochastic volatilities, which include CIR process, regime-switching, delayed, mean-reverting, multi-factor, fractional, Levy-based, semi-Markov and COGARCH(1,1). One of the main methods used in this book is change of time method. The book outlines how the change of time method works for different kinds of models and problems arising in financial and energy markets and the associated problems in modeling and pricing of a variety of swaps. The book also contains a study of a new model, the delayed Heston model, which improves the volatility surface fitting as compared with the classical Heston model. The author calculates variance and volatility swaps for this model and provides hedging techniques. The book considers content on the pricing of variance and volatility swaps and option pricing formula for mean-reverting models in energy markets. Some topics such as forward and futures in energy markets priced by multi-factor Levy models and generalization of Black-76 formula with Markov-modulated volatility are part of the book as well, and it includes many numerical examples such as S&P60 Canada Index, S&P500 Index and AECO Natural Gas Index.
| Author | : Allanus Hak-Man Tsoi |
| Publisher | : World Scientific |
| Total Pages | : 274 |
| Release | : 2011 |
| Genre | : Mathematics |
| ISBN | : 9814355704 |
This book introduces some advanced topics in probability theories ? both pure and applied ? is divided into two parts. The first part deals with the analysis of stochastic dynamical systems, in terms of Gaussian processes, white noise theory, and diffusion processes. The second part of the book discusses some up-to-date applications of optimization theories, martingale measure theories, reliability theories, stochastic filtering theories and stochastic algorithms towards mathematical finance issues such as option pricing and hedging, bond market analysis, volatility studies and asset trading modeling.
| Author | : George Yin |
| Publisher | : American Mathematical Soc. |
| Total Pages | : 414 |
| Release | : 2004 |
| Genre | : Business & Economics |
| ISBN | : 0821834126 |
Contains papers based on talks given at the first AMS-IMS-SIAM Joint Summer Research Conference on Mathematics of Finance held at Snowbird. This book includes such topics as modeling, estimation, optimization, control, and risk assessment and management. It is suitable for students interested in mathematical finance.
| Author | : Konstantinos N. Zafeiris |
| Publisher | : John Wiley & Sons |
| Total Pages | : 452 |
| Release | : 2022-10-25 |
| Genre | : Computers |
| ISBN | : 1786307723 |
The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.
| Author | : Yiannis Dimotikalis |
| Publisher | : John Wiley & Sons |
| Total Pages | : 269 |
| Release | : 2024-04-10 |
| Genre | : Computers |
| ISBN | : 1394284055 |
The book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications. The published data analysis methodology includes the updated state-of-the-art rapidly developed theory and applications of data expansion, both of which go through outstanding changes nowadays. New approaches are expected to deliver and have been developed, including Artificial Intelligence.
