Volatility and jump risk premia in emerging market bonds /

Volatility and jump risk premia in emerging market bonds /

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Bibliographic Details
Author / Creator:Matovu, John, author.
Imprint:[Washington, D.C.] : International Monetary Fund, Middle East and Central Asia Dept., ©2007.
Description:1 online resource (25 pages) : illustrations
Language:English
Series:IMF working paper, 2227-8885 ; WP/07/172
IMF working paper ; WP/07/172.
Subject:
Interest rates -- Econometric models.
Risk -- Econometric models.
Jump processes -- Econometric models.
Bonds -- Econometric models.
Bonds -- Econometric models.
Interest rates -- Econometric models.
Risk -- Econometric models.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12496300
Hidden Bibliographic Details
Other authors / contributors:International Monetary Fund. Middle East and Central Asia Department.
ISBN:1283513692
9781283513692
1451911890
9781451911893
1462379036
9781462379033
1452783411
9781452783413
9786613826145
6613826146
Notes:Includes bibliographical references (pages 16-18).
Restrictions unspecified
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212
English.
digitized 2010 HathiTrust Digital Library committed to preserve
Print version record.
Summary:There is strong evidence that interest rates and bond yield movements exhibit both stochastic volatility and unanticipated jumps. The presence of frequent jumps makes it natural to ask whether there is a premium for jump risk embedded in observed bond yields. This paper identifies a class of jump-diffusion models that are successful in approximating the term structure of interest rates of emerging markets. The parameters of the term structure of interest rates are reconciled with the associated bond yields by estimating the volatility and jump risk premia in highly volatile markets. Using the simulated method of moments (SMM), results suggest that all variants of models which do not take into account stochastic volatility and unanticipated jumps cannot generate the non-normalities consistent with the observed interest rates. Jumps occur (8,10) times a year in Argentina and Brazil, respectively. The size and variance of these jumps is also of statistical significance.
Other form:Print version: Matovu, John. Volatility and jump risk premia in emerging market bonds. [Washington, D.C.] : International Monetary Fund, Middle East and Central Asia Dept., ©2007
Standard no.:10.5089/9781451911893.001
Table of Contents:
  • I. Introduction; II. Model Specification; III. Econometric Approach; IV. Data Sources; V. Empirical Results; A. SNP Model for Interest Rates; B. Simple Model with Constant Volatility (CIR); C. Model with Stochastic Volatility (SV); D. Model with Varying Volatility and Jumps (SVJ); E. Volatility and Jump Risk Premia; VI. Conclusion; Appendix; 1. SNP Auxilliary Model; References; Tables; 1. SNP Density Estimation; 2. EMM Estimates of the Jump Diffusion Stochastic Model for Argentina; 3. EMM Estimates of the Jump Diffusion Stochastic Model for Brazil; 4. Volatility and Jump Risk Premia.
  • 5. Estimates and t-ratios of the Average SNP Score Components for Argentina6. Estimates and t-ratios of the Average SNP Score Components for Brazil; Figure; 1. SNP Sample Forecasts and Actual Data for Argentina and Brazil.

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