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Bond Pricing and Yield curve modeling : a structural approach / Riccardo Rebonato.

By: Rebonato, Riccardo [author.].
Material type: materialTypeLabelBookPublisher: Cambridge: Cambridge University Press, c2018Description: xxvii, 752 p. : ill. ; 25 cm.ISBN: 9781107165854 :.Subject(s): Bonds -- Prices | Interest rates | Investments -- Econometric models | Investment analysis | Risk management -- Econometric modelsDDC classification: 332.6323 Online resources: Content
Contents:
Part I. The Foundations: 1. What this book is about 2. Definitions, notation, and a few mathematical results 3. Links between models, monetary policy, and the macroeconomy 4. Bonds: their risks and their compensations 5. The risk factors in action 6. Principal components: theory 7. Principal components: empirical results Part II. The Building Blocks – A First Look: 8. A preview – a first look at the Vasicek model 9. Expectations 10. Convexity – a first look Part III. No Arbitrage: 11. No arbitrage in discrete time 12. No arbitrage in continuous time 13. No arbitrage with state price deflators 14. No-arbitrage conditions for real bonds 15. The links with an economics-based description of rates Part IV. Solving the Models: 16. Solving affine models: the Vasicek case 17. First extensions 18. A general pricing framework 19. The shadow rate: dealing with a near-zero lower bound Part V. The Value of Convexity: 20. The value of convexity 21. A model-independent approach to valuing convexity 22. Convexity: empirical results Part VI. Excess Returns: 23. Excess returns: setting the scene 24. Risk premia, the market price of risk, and expected excess returns 25. Excess returns: empirical results 26. Excess returns: the recent literature – I 27. Excess returns: the recent literature – II 28. Why is the slope a good predictor? 29. The spanning problem revisited Part VII. What the Models Tell Us: 30. The doubly-mean-reverting Vasicek model 31. Real yields, nominal yields, and inflation: the D'Amico–Kim–Wei model 32. From snapshots to structural models: the Diebold and Rudebush approach 33. Principal components as state variables of affine models: the PCA affine approach 34. Generalizations: the ACM model 35. An affine, stochastic-market-price-of-risk model 36. Conclusions 37. References. from the publisher's website.
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Item type Current location Call number Copy number Status Date due
Monograph Monograph Indian Institute of Management Udaipur
A6/3
332.6323 (Browse shelf) 1 Available

Includes bibliographical references and Index. [ p. 725 - 752]

Part I. The Foundations:
1. What this book is about
2. Definitions, notation, and a few mathematical results
3. Links between models, monetary policy, and the macroeconomy
4. Bonds: their risks and their compensations
5. The risk factors in action
6. Principal components: theory
7. Principal components: empirical results
Part II. The Building Blocks – A First Look:
8. A preview – a first look at the Vasicek model
9. Expectations
10. Convexity – a first look
Part III. No Arbitrage:
11. No arbitrage in discrete time
12. No arbitrage in continuous time
13. No arbitrage with state price deflators
14. No-arbitrage conditions for real bonds
15. The links with an economics-based description of rates
Part IV. Solving the Models:
16. Solving affine models: the Vasicek case
17. First extensions
18. A general pricing framework
19. The shadow rate: dealing with a near-zero lower bound
Part V. The Value of Convexity:
20. The value of convexity
21. A model-independent approach to valuing convexity
22. Convexity: empirical results
Part VI. Excess Returns:
23. Excess returns: setting the scene
24. Risk premia, the market price of risk, and expected excess returns
25. Excess returns: empirical results
26. Excess returns: the recent literature – I
27. Excess returns: the recent literature – II
28. Why is the slope a good predictor?
29. The spanning problem revisited
Part VII. What the Models Tell Us:
30. The doubly-mean-reverting Vasicek model
31. Real yields, nominal yields, and inflation: the D'Amico–Kim–Wei model
32. From snapshots to structural models: the Diebold and Rudebush approach
33. Principal components as state variables of affine models: the PCA affine approach
34. Generalizations: the ACM model
35. An affine, stochastic-market-price-of-risk model
36. Conclusions
37. References.
from the publisher's website.

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