Pricing Derivatives Securities with Prior Information on Long- Memory Volatility
This paper investigates the existence of long memory in the volatility of the Mexican stock market. We use a stochastic volatility (SV) model to derive statistical test for changes in volatility. In this case, estimation is carried out through the Kalman filter (KF) and the improved quasi-maximum li...
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Formato: | artículo científico |
Lenguaje: | Inglés |
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Centro de Investigación y Docencia Económicas, A.C.
2003
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Acceso en línea: | http://www.redalyc.org/articulo.oa?id=32312104 http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/82834 |
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author | Alejandro Islas Camargo Francisco Venegas Martínez |
author_facet | Alejandro Islas Camargo Francisco Venegas Martínez |
author_sort | Alejandro Islas Camargo |
collection | Repositorio |
description | This paper investigates the existence of long memory in the volatility of the Mexican stock market. We use a stochastic volatility (SV) model to derive statistical test for changes in volatility. In this case, estimation is carried out through the Kalman filter (KF) and the improved quasi-maximum likelihood (IQML). We also test for both persistence and long memory by using a long-memory stochastic volatility (LMSV) model, constructed by including an autoregressive fractionally integrated moving average (ARFIMA) process in a stochastic volatility scheme. Under this framework, we work up maximum likelihood spectral estimators and bootstraped confidence intervals. In the light of the empirical findings, we develop a Bayesian model for pricing derivative securities with prior information on long-memory volatility. |
format | artículo científico |
id | clacso-CLACSO82834 |
institution | CLACSO, Repositorio Digital |
language | Inglés |
publishDate | 2003 |
publisher | Centro de Investigación y Docencia Económicas, A.C. |
record_format | greenstone |
spelling | clacso-CLACSO828342022-03-22T16:07:32Z Pricing Derivatives Securities with Prior Information on Long- Memory Volatility Alejandro Islas Camargo Francisco Venegas Martínez Economía y Finanzas contingent pricing econometric modeling This paper investigates the existence of long memory in the volatility of the Mexican stock market. We use a stochastic volatility (SV) model to derive statistical test for changes in volatility. In this case, estimation is carried out through the Kalman filter (KF) and the improved quasi-maximum likelihood (IQML). We also test for both persistence and long memory by using a long-memory stochastic volatility (LMSV) model, constructed by including an autoregressive fractionally integrated moving average (ARFIMA) process in a stochastic volatility scheme. Under this framework, we work up maximum likelihood spectral estimators and bootstraped confidence intervals. In the light of the empirical findings, we develop a Bayesian model for pricing derivative securities with prior information on long-memory volatility. 2003 2022-03-22T16:07:32Z 2022-03-22T16:07:32Z artículo científico http://www.redalyc.org/articulo.oa?id=32312104 http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/82834 en http://www.redalyc.org/revista.oa?id=323 Economía Mexicana. Nueva Época application/pdf Centro de Investigación y Docencia Económicas, A.C. Economía Mexicana. Nueva Época (México) Num.1 Vol.XII |
spellingShingle | Economía y Finanzas contingent pricing econometric modeling Alejandro Islas Camargo Francisco Venegas Martínez Pricing Derivatives Securities with Prior Information on Long- Memory Volatility |
title | Pricing Derivatives Securities with Prior Information on Long- Memory Volatility |
title_full | Pricing Derivatives Securities with Prior Information on Long- Memory Volatility |
title_fullStr | Pricing Derivatives Securities with Prior Information on Long- Memory Volatility |
title_full_unstemmed | Pricing Derivatives Securities with Prior Information on Long- Memory Volatility |
title_short | Pricing Derivatives Securities with Prior Information on Long- Memory Volatility |
title_sort | pricing derivatives securities with prior information on long- memory volatility |
topic | Economía y Finanzas contingent pricing econometric modeling |
url | http://www.redalyc.org/articulo.oa?id=32312104 http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/82834 |