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The SABR/LIBOR market model : pricing, calibration and hedging for complex interest-rate derivatives

The SABR/LIBOR market model : pricing, calibration and hedging for complex interest-rate derivatives (6회 대출)

자료유형
단행본
개인저자
Rebonato, Riccardo. McKay, Kenneth , 1981- White, Richard , 1976-
서명 / 저자사항
The SABR/LIBOR market model : pricing, calibration and hedging for complex interest-rate derivatives / Riccardo Rebonato, Kenneth McKay, and Richard White.
발행사항
Chichester, West Sussex, U.K. :   John Wiley & Sons ,   c2009.  
형태사항
xi, 284 p. : ill. ; 26 cm.
ISBN
9780470740057 (hbk.) 0470740051 (hbk.)
서지주기
Includes bibliographical references (p. 271-274) and index.
일반주제명
Hedging (Finance) -- Mathematical models. Options (Finance) -- Prices -- Mathematical models. Derivative securities -- Accounting. Interest rate futures.
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245 1 4 ▼a The SABR/LIBOR market model : ▼b pricing, calibration and hedging for complex interest-rate derivatives / ▼c Riccardo Rebonato, Kenneth McKay, and Richard White.
260 ▼a Chichester, West Sussex, U.K. : ▼b John Wiley & Sons , ▼c c2009.
300 ▼a xi, 284 p. : ▼b ill. ; ▼c 26 cm.
504 ▼a Includes bibliographical references (p. 271-274) and index.
650 0 ▼a Hedging (Finance) ▼x Mathematical models.
650 0 ▼a Options (Finance) ▼x Prices ▼x Mathematical models.
650 0 ▼a Derivative securities ▼x Accounting.
650 0 ▼a Interest rate futures.
700 1 ▼a McKay, Kenneth , ▼d 1981-
700 1 ▼a White, Richard , ▼d 1976-
945 ▼a KINS

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 332.6323 R292s 등록번호 121183974 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

저자소개

리처드 화이트(지은이)

미국 스탠포드 대학교의 역사학과 석좌교수인 리처드 화이트는 미국사, 특히 미국 환경사와 자본주의의 역사를 선도적으로 개척하고 이들 분야의 저명한 연구들을 발표하고 있다. 미국 역사학회 회장을 역임했으며, 환경사 분야를 일구고 이 분야에서 다학제적 방법론의 혁신을 이끈 공로를 인정받아 ‘천재들의 상’으로 알려진 ‘맥아서 펠로우’(MacArthur Fellow)를 수상했다. 그의 저술들은 역사학적 가치와 문학적·대중적인 성취를 이뤄내 1992년과 2012년, 두 번에 걸쳐 퓰리처상 최종 후보(Pulitzer Prize Finalist)로 선정된 바 있다.

Riccardo Rebonato(지은이)

Kenneth McKay(지은이)

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목차

1. Introduction.

I. THE THEORETICAL SET-UP.

2. The LIBOR Market Model.

2.1 Definitions.

2.2 The Volatility Functions.

2.3 Separating the Correlation from the Volatility Term.

2.4 The Caplet-Pricing Condition Again.

2.5 The Forward-Rate/Forward-Rate Correlation.

2.6 Possible Shapes of the Doust Correlation Function.

2.7 The Covariance Integral Again.

3. The SABR Model.

3.1 The SABR Model (and Why It Is a Good Model.

3.2 Description of the Model.

3.3 The Option Prices Given by the SABR Model.

3.4 Special Cases.

3.5 Qualitative Behaviour of the SABR Model.

3.6 The Link Between the Exponent, _, and the Volatility of Volatility, _.

3.7 Volatility Clustering in the (LMM)-SABR Model.

3.8 The Market.

3.9 How Do We Know that the Market Has Chosen _ = 0:5?

3.10 The Problems with the SABR Model.

4. The LMM-SABR Model.

4.1 The Equations of Motion.

4.2 The Nature of the Stochasticity Introduced by Our Model.

4.3 A Simple Correlation Structure.

4.4 A More General Correlation Structure.

4.5 Observations on the Correlation Structure.

4.6 The Volatility Structure.

4.7 What We Mean by Time Homogeneity.

4.8 The Volatility Structure in Periods of Market Stress.

4.9 A More General Stochastic Volatility Dynamics.

4.10 Calculating the No-Arbitrage Drifts.

II. IMPLEMENTATION AND CALIBRATION.

5 Calibrating the LMM-SABR model to Market Caplet Prices.

5.1 The Caplet-Calibration Problem.

5.2 Choosing the Parameters of the Function, g (_), and the Initial.

Values, kT 0.

5.3 Choosing the Parameters of the Function h(_.

5.4 Choosing the Exponent, _, and the Correlation, _SABR.

5.5 Results.

5.6 Calibration in Practice: Implications for the SABR Model.

5.7 Implications for Model Choice.

6. Calibrating the LMM-SABR model to Market Swaption Prices.

6.1 The Swaption Calibration Problem.

6.2 Swap Rate and Forward Rate Dynamics.

6.3 Approximating the Instantaneous Swap Rate Volatility, St.

6.4 Approximating the Initial Value of the Swap Rate Volatility, _0 (First Route.

6.5 Approximating _0 (Second Route and the Volatility of Volatility of the Swap Rate, V.

6.6 Approximating the Swap-Rate/Swap-Rate-Volatility Correlation, RSABR.

6.7 Approximating the Swap Rate Exponent, B.

6.8 Results.

6.9 Conclusions and Suggestions for Future Work.

6.10 Appendix: Derivation of Approximate Swap Rate Volatility.

6.11 Appendix: Derivation of Swap-Rate/Swap-Rate-Volatility Correlation, RSABR.

6.12 Appendix: Approximation of.

7. Calibrating the Correlation Structure.

7.1 Statement of the Problem.

7.2 Creating a Valid Model Matrix.

7.3 A Case Study: Calibration Using the Hypersphere Method.

7.4 Which Method Should One Choose?

7.5 Appendix1.

III. EMPIRICAL EVIDENCE.

8. The Empirical Problem.

8.1 Statement of the Empirical Problem.

8.2 What Do We know from the Literature?

8.3 Data Description.

8.4 Distributional Analysis and Its Limitations.

8.5 What Is the True Exponent _?

8.6 Appendix: Some Analytic Results.

9. Estimating the Volatility of the Forward Rates.

9.1 Expiry-Dependence of Volatility of Forward Rates.

9.2 Direct Estimation.

9.3 Looking at the Normality of the Residuals.

9.4 Maximum-Likelihood and Variations on the Theme.

9.5 Information About the Volatility from the Options Market.

9.6 Overall Conclusions.

10. Estimating the Correlation Structure.

10.1 What We Are Trying To Do.

10.2 Some Results from Random Matrix Theory.

10.3 Empirical Estimation.

10.4 Descriptive Statistics.

10.5 Signal and Noise in the Empirical Correlation Blocks.

10.6 What Does Random Matrix Theory Really Tell Us?

10.7 Calibrating the Correlation Matrices.

10.8 How Much Information Do the Proposed Models Retain?

IV. HEDGING.

11. Various Types of Hedging.

11.1 Statement of the Problem.

11.2 Three Types of Hedging.

11.3 Definitions.

11.4 First-Order Derivatives with Respect to the Underlyings.

11.5 Second-Order Derivatives with Respect to the Underlyings.

11.6 Generalizing Functional-Dependence Hedging.

11.7 How Does the Model Know about Volga and Vanna?

11.8 Choice of Hedging Instrument.

12. Hedging Against Moves in the Forward Rate and in the Volatility.

12.1 Delta Hedging in the SABR-(LMM) Model.

12.2 Vega Hedging in the SABR-(LMM) Model.

13. (LMM)-SABR Hedging in Practice: Evidence from Market Data.

13.1 Purpose of this Chapter.

13.2 Notation.

13.3 Hedging Results for the SABR Model.

13.4 Hedging Results for the LMM-SABR Model.

13.5 Conclusions.

14. Hedging the Correlation Structure.

14.1 The Intuition Behind the Problem.

14.2 Hedging the Forward-Rate Block.

14.3 Hedging the Volatility-Rate Block.

14.4 Hedging the Forward-Rate/Volatility Block.

14.5 Final Considerations.

15. Hedging in Conditions of Market Stress.

15.1 Statement of the Problem.

15.2 The Volatility Function.

15.3 The Case Study.

15.4 Hedging.

15.5 Results.

15.6 Are We Getting Something for Nothing?


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