Essentials Of Stochastic Finance

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Essentials of Stochastic Finance

Author : Albert N. Shiryaev
Publisher : World Scientific
Page : 852 pages
File Size : 44,5 Mb
Release : 1999
Category : Business & Economics
ISBN : 9789810236052

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Essentials of Stochastic Finance by Albert N. Shiryaev Pdf

Readership: Undergraduates and researchers in probability and statistics; applied, pure and financial mathematics; economics; chaos.

Essentials of Stochastic Processes

Author : Richard Durrett
Publisher : Springer
Page : 282 pages
File Size : 46,8 Mb
Release : 2016-11-07
Category : Mathematics
ISBN : 9783319456140

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Essentials of Stochastic Processes by Richard Durrett Pdf

Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and option pricing. One can only learn a subject by seeing it in action, so there are a large number of examples and more than 300 carefully chosen exercises to deepen the reader’s understanding. Drawing from teaching experience and student feedback, there are many new examples and problems with solutions that use TI-83 to eliminate the tedious details of solving linear equations by hand, and the collection of exercises is much improved, with many more biological examples. Originally included in previous editions, material too advanced for this first course in stochastic processes has been eliminated while treatment of other topics useful for applications has been expanded. In addition, the ordering of topics has been improved; for example, the difficult subject of martingales is delayed until its usefulness can be applied in the treatment of mathematical finance.

Essentials of Stochastic Finance

Author : Alʹbert Nikolaevich Shiri͡aev
Publisher : Unknown
Page : 834 pages
File Size : 50,5 Mb
Release : 1999
Category : Financial engineering
ISBN : OCLC:1149023144

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Essentials of Stochastic Finance by Alʹbert Nikolaevich Shiri͡aev Pdf

Essentials Stochastic Finance Facts Mo

Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 45,5 Mb
Release : 1999-01-18
Category : Electronic
ISBN : 0000991015

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Essentials Stochastic Finance Facts Mo by Anonim Pdf

Stochastic Calculus and Financial Applications

Author : J. Michael Steele
Publisher : Springer Science & Business Media
Page : 303 pages
File Size : 47,8 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781468493054

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Stochastic Calculus and Financial Applications by J. Michael Steele Pdf

Stochastic calculus has important applications to mathematical finance. This book will appeal to practitioners and students who want an elementary introduction to these areas. From the reviews: "As the preface says, ‘This is a text with an attitude, and it is designed to reflect, wherever possible and appropriate, a prejudice for the concrete over the abstract’. This is also reflected in the style of writing which is unusually lively for a mathematics book." --ZENTRALBLATT MATH

Fundamentals of Stochastic Filtering

Author : Alan Bain,Dan Crisan
Publisher : Springer Science & Business Media
Page : 390 pages
File Size : 42,8 Mb
Release : 2008-10-08
Category : Mathematics
ISBN : 9780387768960

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Fundamentals of Stochastic Filtering by Alan Bain,Dan Crisan Pdf

This book provides a rigorous mathematical treatment of the non-linear stochastic filtering problem using modern methods. Particular emphasis is placed on the theoretical analysis of numerical methods for the solution of the filtering problem via particle methods. The book should provide sufficient background to enable study of the recent literature. While no prior knowledge of stochastic filtering is required, readers are assumed to be familiar with measure theory, probability theory and the basics of stochastic processes. Most of the technical results that are required are stated and proved in the appendices. Exercises and solutions are included.

Stochastic Financial Models

Author : Douglas Kennedy
Publisher : CRC Press
Page : 264 pages
File Size : 50,5 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781439882719

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Stochastic Financial Models by Douglas Kennedy Pdf

Filling the void between surveys of the field with relatively light mathematical content and books with a rigorous, formal approach to stochastic integration and probabilistic ideas, Stochastic Financial Models provides a sound introduction to mathematical finance. The author takes a classical applied mathematical approach, focusing on calculations

Stochastic Processes, Finance and Control

Author : Samuel N Cohen,Dilip Madan,Tak Kuen Siu,Hailiang Yang
Publisher : World Scientific
Page : 604 pages
File Size : 44,6 Mb
Release : 2012-08-10
Category : Mathematics
ISBN : 9789814483919

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Stochastic Processes, Finance and Control by Samuel N Cohen,Dilip Madan,Tak Kuen Siu,Hailiang Yang Pdf

This book consists of a series of new, peer-reviewed papers in stochastic processes, analysis, filtering and control, with particular emphasis on mathematical finance, actuarial science and engineering. Paper contributors include colleagues, collaborators and former students of Robert Elliott, many of whom are world-leading experts and have made fundamental and significant contributions to these areas. This book provides new important insights and results by eminent researchers in the considered areas, which will be of interest to researchers and practitioners. The topics considered will be diverse in applications, and will provide contemporary approaches to the problems considered. The areas considered are rapidly evolving. This volume will contribute to their development, and present the current state-of-the-art stochastic processes, analysis, filtering and control. Contributing authors include: H Albrecher, T Bielecki, F Dufour, M Jeanblanc, I Karatzas, H-H Kuo, A Melnikov, E Platen, G Yin, Q Zhang, C Chiarella, W Fleming, D Madan, R Mamon, J Yan, V Krishnamurthy. Contents:Stochastic Analysis:On the Connection Between Discrete and Continuous Wick Calculus with an Application to the Fractional Black-Scholes Model (C Bender and P Parczewski)Malliavin Differentiability of a Class of Feller-Diffusions with Relevance in Finance (C-O Ewald, Y Xiao, Y Zou and T K Siu)A Stochastic Integral for Adapted and Instantly Independent Stochastic Processes (H-H Kuo, A Sae-Tang and B Szozda)Independence of Some Multiple Poisson Stochastic Integrals with Variable-Sign Kernels (N Privault)Differential and Stochastic Games:Strategies for Differential Games (W H Fleming and D Hernández-Hernández)BSDE Approach to Non-Zero-Sum Stochastic Differential Games of Control and Stopping (I Karatzas and Q Li)Mathematical Finance:On Optimal Dividend Strategies in Insurance with a Random Time Horizon (H Albrecher and S Thonhauser)Counterparty Risk and the Impact of Collateralization in CDS Contracts (T R Bielecki, I Cialenco and I Iyigunler)A Modern View on Merton's Jump-Diffusion Model (G H L Cheang and C Chiarella)Hedging Portfolio Loss Derivatives with CDS's (A Cousin and M Jeanblanc)New Analytic Approximations for Pricing Spread Options (J van der Hoek and M W Korolkiewicz)On the Polynomial–Normal Model and Option Pricing (H Li and A Melnikov)A Functional Transformation Approach to Interest Rate Modelling(S Luo, J Yan and Q Zhang)S&P 500 Index Option Surface Drivers and Their Risk Neutral and Real World Quadratic Covariations (D B Madan)A Dynamic Portfolio Approach to Asset Markets and Monetary Policy (E Platen and W Semmler)Mean-Variance Portfolio Selection Under Regime-Switching Diffusion Asset Models: A Two-Time-Scale Limit (G Yin and Y Talafha)Filtering and Control:Existence and Uniqueness of Solutions for a Partially Observed Stochastic Control Problem (A Bensoussan, M Çakanyildirim, M Li and S P Sethi)Continuous Control of Piecewise Deterministic Markov Processes with Long Run Average Cost (O L V Costa and F Dufour)Stochastic Linear-Quadratic Control Revisited (T E Duncan)Optimization of Stochastic Uncertain Systems: Entropy Rate Functionals, Minimax Games and Robustness (F Rezaei, C D Charalambous and N U Ahmed)Gradient Based Policy Optimization of Constrained Markov Decision Processes (V Krishnamurthy and F J Vázquez Abad)Parameter Estimation of a Regime-Switching Model Using an Inverse Stieltjes Moment Approach (X Xi, M R Rodrigo and R S Mamon)An Optimal Inventory-Price Coordination Policy (H Zhang and Q Zhang) Readership: Researchers and professionals in stochastic processes, analysis, filtering and control. Keywords:Stochastic Processes;Filtering;Stochastic Control;Stochastic Analysis;Mathematical Finance;Actuarial Sciences;EngineeringKey Features:This is a festschrift of Professor Robert J Elliott, who is a world leader in the areas of stochastic processes, filtering, control as well as their applicationsIncludes contributions of many world-leading scholars in the fieldsContain many original and fundamental results in the fields rare in competing titles

Stochastic Calculus for Finance

Author : Marek Capiński,Ekkehard Kopp,Janusz Traple
Publisher : Cambridge University Press
Page : 187 pages
File Size : 46,6 Mb
Release : 2012-08-23
Category : Business & Economics
ISBN : 9781107002647

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Stochastic Calculus for Finance by Marek Capiński,Ekkehard Kopp,Janusz Traple Pdf

This book introduces key results essential for financial practitioners by means of concrete examples and a fully rigorous exposition.

Stochastic Processes with Applications to Finance

Author : Masaaki Kijima
Publisher : CRC Press
Page : 343 pages
File Size : 55,6 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781439884843

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Stochastic Processes with Applications to Finance by Masaaki Kijima Pdf

Financial engineering has been proven to be a useful tool for risk management, but using the theory in practice requires a thorough understanding of the risks and ethical standards involved. Stochastic Processes with Applications to Finance, Second Edition presents the mathematical theory of financial engineering using only basic mathematical tools

Monte Carlo Methods in Financial Engineering

Author : Paul Glasserman
Publisher : Springer Science & Business Media
Page : 603 pages
File Size : 46,7 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9780387216171

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Monte Carlo Methods in Financial Engineering by Paul Glasserman Pdf

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

Essentials of Time Series for Financial Applications

Author : Massimo Guidolin,Manuela Pedio
Publisher : Academic Press
Page : 435 pages
File Size : 45,8 Mb
Release : 2018-05-29
Category : Business & Economics
ISBN : 9780128134108

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Essentials of Time Series for Financial Applications by Massimo Guidolin,Manuela Pedio Pdf

Essentials of Time Series for Financial Applications serves as an agile reference for upper level students and practitioners who desire a formal, easy-to-follow introduction to the most important time series methods applied in financial applications (pricing, asset management, quant strategies, and risk management). Real-life data and examples developed with EViews illustrate the links between the formal apparatus and the applications. The examples either directly exploit the tools that EViews makes available or use programs that by employing EViews implement specific topics or techniques. The book balances a formal framework with as few proofs as possible against many examples that support its central ideas. Boxes are used throughout to remind readers of technical aspects and definitions and to present examples in a compact fashion, with full details (workout files) available in an on-line appendix. The more advanced chapters provide discussion sections that refer to more advanced textbooks or detailed proofs. Provides practical, hands-on examples in time-series econometrics Presents a more application-oriented, less technical book on financial econometrics Offers rigorous coverage, including technical aspects and references for the proofs, despite being an introduction Features examples worked out in EViews (9 or higher)

Stochastic Finance

Author : Albert N. Shiryaev,Maria do Rosário Grossinho,Paulo E. Oliveira,Manuel L. Esquível
Publisher : Springer Science & Business Media
Page : 372 pages
File Size : 53,9 Mb
Release : 2006-06-03
Category : Mathematics
ISBN : 9780387283593

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Stochastic Finance by Albert N. Shiryaev,Maria do Rosário Grossinho,Paulo E. Oliveira,Manuel L. Esquível Pdf

Since the pioneering work of Black, Scholes, and Merton in the field of financial mathematics, research has led to the rapid development of a substantial body of knowledge, with plenty of applications to the common functioning of the world’s financial institutions. Mathematics, as the language of science, has always played a role in the development of knowledge and technology. Presently, the high-tech character of modern business has increased the need for advanced methods, which rely to a large extent on mathematical techniques. It has become essential for the financial analyst to possess a high degree of proficiency in these mathematical techniques.

Stochastic Processes for Finance

Author : Anonim
Publisher : Bookboon
Page : 104 pages
File Size : 50,5 Mb
Release : 2024-05-12
Category : Electronic
ISBN : 9788776816667

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Stochastic Processes for Finance by Anonim Pdf

Stochastic Calculus for Quantitative Finance

Author : Alexander A Gushchin
Publisher : Elsevier
Page : 208 pages
File Size : 44,9 Mb
Release : 2015-08-26
Category : Mathematics
ISBN : 9780081004760

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Stochastic Calculus for Quantitative Finance by Alexander A Gushchin Pdf

In 1994 and 1998 F. Delbaen and W. Schachermayer published two breakthrough papers where they proved continuous-time versions of the Fundamental Theorem of Asset Pricing. This is one of the most remarkable achievements in modern Mathematical Finance which led to intensive investigations in many applications of the arbitrage theory on a mathematically rigorous basis of stochastic calculus. Mathematical Basis for Finance: Stochastic Calculus for Finance provides detailed knowledge of all necessary attributes in stochastic calculus that are required for applications of the theory of stochastic integration in Mathematical Finance, in particular, the arbitrage theory. The exposition follows the traditions of the Strasbourg school. This book covers the general theory of stochastic processes, local martingales and processes of bounded variation, the theory of stochastic integration, definition and properties of the stochastic exponential; a part of the theory of Lévy processes. Finally, the reader gets acquainted with some facts concerning stochastic differential equations. Contains the most popular applications of the theory of stochastic integration Details necessary facts from probability and analysis which are not included in many standard university courses such as theorems on monotone classes and uniform integrability Written by experts in the field of modern mathematical finance