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Bootstrap prediction intervals to forecast portfolio value-at-risk

Grant number: 13/23524-5
Support Opportunities:Scholarships abroad - Research Internship - Doctorate
Start date: March 01, 2014
End date: July 31, 2014
Field of knowledge:Physical Sciences and Mathematics - Probability and Statistics - Statistics
Principal Investigator:Luiz Koodi Hotta
Grantee:Carlos Cesar Trucios Maza
Supervisor: Esther Ruiz
Host Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Institution abroad: Universidad Carlos III de Madrid (UC3M), Spain  
Associated to the scholarship:12/09596-0 - Bootstrap prediction in univariate and multivariate volatility models, BP.DR

Abstract

The project to be developed at the Department of Statistics of the Universidad Carlos III de Madrid, Spain, aims to discuss the gains of obtain bootstrap prediction intervals for forecast portfolio value-at-risk using a multivariate model of the family MGARCH. The forecast intervals will be compared with bootstrap prediction intervals for forecast portfolio value-at-risk using a univariate model of the GARCH family fitted the models directly the return of the portfolio. The comparison will be in terms of the intervals coverage, the length of the intervals and other possible criteria which will be discussed during the stage in Spain. Other issues that may be considered include the effects of outliers and misspecification and proof of the bootstrap convergence for some models. (AU)

News published in Agência FAPESP Newsletter about the scholarship:
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VEICULO: TITULO (DATA)
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
TRUCIOS, CARLOS; HOTTA, LUIZ K.; RUIZ, ESTHER. Robust bootstrap forecast densities for GARCH returns and volatilities. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v. 87, n. 16, p. 3152-3174, . (13/00506-1, 13/23524-5, 12/09596-0)