Handbook Of Computational And Numerical Methods In Finance
Download Handbook Of Computational And Numerical Methods In Finance full books in PDF, epub, and Kindle. Read online free Handbook Of Computational And Numerical Methods In Finance ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Svetlozar T. Rachev |
Publisher | : Springer Science & Business Media |
Total Pages | : 438 |
Release | : 2011-06-28 |
Genre | : Mathematics |
ISBN | : 0817681809 |
Download Handbook of Computational and Numerical Methods in Finance Book in PDF, Epub and Kindle
The subject of numerical methods in finance has recently emerged as a new discipline at the intersection of probability theory, finance, and numerical analysis. The methods employed bridge the gap between financial theory and computational practice, and provide solutions for complex problems that are difficult to solve by traditional analytical methods. Although numerical methods in finance have been studied intensively in recent years, many theoretical and practical financial aspects have yet to be explored. This volume presents current research and survey articles focusing on various numerical methods in finance. The book is designed for the academic community and will also serve professional investors.
Author | : Ali Hirsa |
Publisher | : CRC Press |
Total Pages | : 440 |
Release | : 2016-04-19 |
Genre | : Business & Economics |
ISBN | : 1466576049 |
Download Computational Methods in Finance Book in PDF, Epub and Kindle
Helping readers accurately price a vast array of derivatives, this self-contained text explains how to solve complex functional equations through numerical methods. It addresses key computational methods in finance, including transform techniques, the finite difference method, and Monte Carlo simulation. Developed from his courses at Columbia University and the Courant Institute of New York University, the author also covers model calibration and optimization and describes techniques, such as Kalman and particle filters, for parameter estimation.
Author | : L. C. G. Rogers |
Publisher | : Cambridge University Press |
Total Pages | : 348 |
Release | : 1997-06-26 |
Genre | : Business & Economics |
ISBN | : 9780521573542 |
Download Numerical Methods in Finance Book in PDF, Epub and Kindle
Numerical Methods in Finance describes a wide variety of numerical methods used in financial analysis.
Author | : Jin-Chuan Duan |
Publisher | : Springer Science & Business Media |
Total Pages | : 791 |
Release | : 2011-10-25 |
Genre | : Business & Economics |
ISBN | : 3642172547 |
Download Handbook of Computational Finance Book in PDF, Epub and Kindle
Any financial asset that is openly traded has a market price. Except for extreme market conditions, market price may be more or less than a “fair” value. Fair value is likely to be some complicated function of the current intrinsic value of tangible or intangible assets underlying the claim and our assessment of the characteristics of the underlying assets with respect to the expected rate of growth, future dividends, volatility, and other relevant market factors. Some of these factors that affect the price can be measured at the time of a transaction with reasonably high accuracy. Most factors, however, relate to expectations about the future and to subjective issues, such as current management, corporate policies and market environment, that could affect the future financial performance of the underlying assets. Models are thus needed to describe the stochastic factors and environment, and their implementations inevitably require computational finance tools.
Author | : John Miller |
Publisher | : CRC Press |
Total Pages | : 312 |
Release | : 2007-09-21 |
Genre | : Business & Economics |
ISBN | : 1584889268 |
Download Numerical Methods for Finance Book in PDF, Epub and Kindle
Featuring international contributors from both industry and academia, Numerical Methods for Finance explores new and relevant numerical methods for the solution of practical problems in finance. It is one of the few books entirely devoted to numerical methods as applied to the financial field. Presenting state-of-the-art methods in this area
Author | : Mario J. Miranda |
Publisher | : MIT Press |
Total Pages | : 529 |
Release | : 2004-08-20 |
Genre | : Business & Economics |
ISBN | : 0262291754 |
Download Applied Computational Economics and Finance Book in PDF, Epub and Kindle
This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and finance, with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance. The book also provides an extensive Web-site library of computer utilities and demonstration programs. The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear equation methods, complementarity methods, finite-dimensional optimization, numerical integration and differentiation, and function approximation. The second part presents methods for solving dynamic stochastic models in economics and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The book uses MATLAB to illustrate the algorithms and includes a utilities toolbox to help readers develop their own computational economics applications.
Author | : René Carmona |
Publisher | : Springer Science & Business Media |
Total Pages | : 478 |
Release | : 2012-03-23 |
Genre | : Mathematics |
ISBN | : 3642257461 |
Download Numerical Methods in Finance Book in PDF, Epub and Kindle
Numerical methods in finance have emerged as a vital field at the crossroads of probability theory, finance and numerical analysis. Based on presentations given at the workshop Numerical Methods in Finance held at the INRIA Bordeaux (France) on June 1-2, 2010, this book provides an overview of the major new advances in the numerical treatment of instruments with American exercises. Naturally it covers the most recent research on the mathematical theory and the practical applications of optimal stopping problems as they relate to financial applications. By extension, it also provides an original treatment of Monte Carlo methods for the recursive computation of conditional expectations and solutions of BSDEs and generalized multiple optimal stopping problems and their applications to the valuation of energy derivatives and assets. The articles were carefully written in a pedagogical style and a reasonably self-contained manner. The book is geared toward quantitative analysts, probabilists, and applied mathematicians interested in financial applications.
Author | : Matthias Ehrhardt |
Publisher | : Springer |
Total Pages | : 606 |
Release | : 2017-09-19 |
Genre | : Mathematics |
ISBN | : 3319612824 |
Download Novel Methods in Computational Finance Book in PDF, Epub and Kindle
This book discusses the state-of-the-art and open problems in computational finance. It presents a collection of research outcomes and reviews of the work from the STRIKE project, an FP7 Marie Curie Initial Training Network (ITN) project in which academic partners trained early-stage researchers in close cooperation with a broader range of associated partners, including from the private sector. The aim of the project was to arrive at a deeper understanding of complex (mostly nonlinear) financial models and to develop effective and robust numerical schemes for solving linear and nonlinear problems arising from the mathematical theory of pricing financial derivatives and related financial products. This was accomplished by means of financial modelling, mathematical analysis and numerical simulations, optimal control techniques and validation of models. In recent years the computational complexity of mathematical models employed in financial mathematics has witnessed tremendous growth. Advanced numerical techniques are now essential to the majority of present-day applications in the financial industry. Special attention is devoted to a uniform methodology for both testing the latest achievements and simultaneously educating young PhD students. Most of the mathematical codes are linked into a novel computational finance toolbox, which is provided in MATLAB and PYTHON with an open access license. The book offers a valuable guide for researchers in computational finance and related areas, e.g. energy markets, with an interest in industrial mathematics.
Author | : Karl Schmedders |
Publisher | : Newnes |
Total Pages | : 680 |
Release | : 2013-12-31 |
Genre | : Business & Economics |
ISBN | : 0080931782 |
Download Handbook of Computational Economics Book in PDF, Epub and Kindle
Handbook of Computational Economics summarizes recent advances in economic thought, revealing some of the potential offered by modern computational methods. With computational power increasing in hardware and algorithms, many economists are closing the gap between economic practice and the frontiers of computational mathematics. In their efforts to accelerate the incorporation of computational power into mainstream research, contributors to this volume update the improvements in algorithms that have sharpened econometric tools, solution methods for dynamic optimization and equilibrium models, and applications to public finance, macroeconomics, and auctions. They also cover the switch to massive parallelism in the creation of more powerful computers, with advances in the development of high-power and high-throughput computing. Much more can be done to expand the value of computational modeling in economics. In conjunction with volume one (1996) and volume two (2006), this volume offers a remarkable picture of the recent development of economics as a science as well as an exciting preview of its future potential. Samples different styles and approaches, reflecting the breadth of computational economics as practiced today Focuses on problems with few well-developed solutions in the literature of other disciplines Emphasizes the potential for increasing the value of computational modeling in economics
Author | : Manfred Gilli |
Publisher | : Academic Press |
Total Pages | : 638 |
Release | : 2019-08-30 |
Genre | : |
ISBN | : 0128150653 |
Download Numerical Methods and Optimization in Finance Book in PDF, Epub and Kindle
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