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Yield Curves and Forward Curves for Diffusion Models of Short Rates / by Gennady A. Medvedev
版 | 1st ed. 2019. |
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出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2019 |
大きさ | XXIV, 230 p. 58 illus., 9 illus. in color : online resource |
著者標目 | *Medvedev, Gennady A author SpringerLink (Online service) |
件 名 | LCSH:Social sciences—Mathematics LCSH:Game theory LCSH:Econometrics FREE:Mathematics in Business, Economics and Finance FREE:Game Theory FREE:Econometrics |
一般注記 | Preface -- Introduction -- 1.The processes of short-term interest rates and their probability densities -- 2.The term structure of interest rates -- 3.The Vasiček model -- 4.The Cox-Ingersoll-Ross model -- 5.The Duffie-Kan one-factor model -- 6.The Duffie–Kan two-factor models -- 7.The three-factor models -- 8.Another version of the term to maturity variable -- 9.The Nelson–Siegel–Svensson no-arbitrage yield curve model -- 10.Quadratic models of yield in a risk-neutral world -- 11.Polynomial models of yield term structure -- References. This book is dedicated to the study of the term structures of the yields of zero-coupon bonds. The methods it describes differ from those usually found in the literature in that the time variable is not the term to maturity but the interest rate duration, or another convenient non-linear transformation of terms. This makes it possible to consider yield curves not only for a limited interval of term values, but also for the entire positive semiaxis of terms. The main focus is the comparative analysis of yield curves and forward curves and the analytical study of their features. Generalizations of yield term structures are studied where the dimension of the state space of the financial market is increased. In cases where the analytical approach is too cumbersome, or impossible, numerical techniques are used. This book will be of interest to financial analysts, financial market researchers, graduate students and PhD students HTTP:URL=https://doi.org/10.1007/978-3-030-15500-1 |
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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 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783030155001 |
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電子リソース |
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EB00196471 |
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