<電子ブック>
Tools for Computational Finance / by Rüdiger U. Seydel
(Universitext. ISSN:21916675)
版 | 1st ed. 2002. |
---|---|
出版者 | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer |
出版年 | 2002 |
大きさ | XIV, 227 p. 16 illus : online resource |
著者標目 | *Seydel, Rüdiger U author SpringerLink (Online service) |
件 名 | LCSH:Social sciences—Mathematics LCSH:Numerical analysis FREE:Mathematics in Business, Economics and Finance FREE:Numerical Analysis |
一般注記 | 1 Modeling Tools for Financial Options -- 2 Generating Random Numbers with Specified Distributions -- 3 Numerical Integration of Stochastic Differential Equations -- 4 Finite Differences and Standard Options -- 5 Finite-Element Methods -- 6 Pricing of Exotic Options -- Appendices -- Al Financial Derivatives -- A2 Essentials of Stochastics -- A3 The Black-Scholes Equation -- A4 Numerical Methods -- A6 Function Spaces -- A7 Complementary Formula -- References Basic principles underlying the transactions of financial markets are tied to probability and statistics. Accordingly it is natural that books devoted to mathematical finance are dominated by stochastic methods. Only in recent years, spurred by the enormous economical success of financial derivatives, a need for sophisticated computational technology has developed. For ex ample, to price an American put, quantitative analysts have asked for the numerical solution of a free-boundary partial differential equation. Fast and accurate numerical algorithms have become essential tools to price financial derivatives and to manage portfolio risks. The required methods aggregate to the new field of Computational Finance. This discipline still has an aura of mysteriousness; the first specialists were sometimes called rocket scientists. So far, the emerging field of computational finance has hardly been discussed in the mathematical finance literature. This book attempts to fill the gap. Basic principles of computational finance are introduced in a monograph with textbook character. The book is divided into four parts, arranged in six chapters and seven appendices. The general organization is Part I (Chapter 1): Financial and Stochastic Background Part II (Chapters 2, 3): Tools for Simulation Part III (Chapters 4, 5, 6): Partial Differential Equations for Options Part IV (Appendices A1 ... A7): Further Requisits and Additional Material HTTP:URL=https://doi.org/10.1007/978-3-662-04711-8 |
目次/あらすじ
所蔵情報を非表示
電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
電子ブック | オンライン | 電子ブック |
|
|
Springer eBooks | 9783662047118 |
|
電子リソース |
|
EB00208754 |
類似資料
この資料の利用統計
このページへのアクセス回数:5回
※2017年9月4日以降