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...

Descripción completa

Detalles Bibliográficos
Autores principales: Alejandro Islas Camargo, Francisco Venegas Martínez
Formato: artículo científico
Lenguaje:Inglés
Publicado: Centro de Investigación y Docencia Económicas, A.C. 2003
Materias:
Acceso en línea:http://www.redalyc.org/articulo.oa?id=32312104
http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/82834
_version_ 1782336171234295808
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