• JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
 
  Bookmark and Share
 
 
Master's Dissertation
DOI
https://doi.org/10.11606/D.96.2022.tde-24012023-153942
Document
Author
Full name
Rodrigo Rodrigues Branco de Moraes
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
Ribeirão Preto, 2022
Supervisor
Committee
Laurini, Marcio Poletti (President)
Chaim, Pedro Luiz Paolino
Oliveira, André Barbosa
Title in English
Nonlinear dependence between the US banking and insurance market during COVID-19 epidemic
Keywords in English
COVID-19
Jump
Stochastic volatility model
Abstract in English
We propose a multivariate stochastic volatility-double jump model to capture the presence of jumps in mean, and conditional variance in the returns assets of the nine largest North American banks by market capitalization and nine of the most relevant North American insurance companies were considered during the period from the beginning of march 2020, when starts the COVID-19, to mid-2021. We divide ours samples in three different groups, a group with insurance companies only, another with banks and one with all eighteen companies assets. For all the three samples, the common factors estimated shows enough precision to capture characteristics and stylized facts of these financial series in a period of crisis in the stock market, such as jumps in mean, volatility and conditional volatility.
Title in Portuguese
Dependência não linear entre bancos e seguradoras americanas durante a epidemia de COVID-19
Keywords in Portuguese
COVID-19
Modelo de volatilidade estocástica
Saltos
Abstract in Portuguese
Propomos um modelo estocástico multivariado de salto duplo de volatilidade para capturar a presença de saltos na média e variância condicional nos ativos de retorno dos nove maiores bancos norte-americanos por capitalização de mercado e nove das seguradoras norte-americanas mais relevantes foram consideradas durante o período do início de março de 2020, quando se inicia o COVID-19, até meados de 2021. Dividimos nossas amostras em três grupos diferentes, um grupo apenas com seguradoras, outro com bancos e um com todos os ativos de dezoito empresas. Para todas as três amostras, os fatores comuns estimados mostram precisão suficiente para capturar características e fatos estilizados dessas séries financeiras em um período de crise no mercado de ações, como saltos na média, volatilidade e volatilidade condicional.
 
WARNING - Viewing this document is conditioned on your acceptance of the following terms of use:
This document is only for private use for research and teaching activities. Reproduction for commercial use is forbidden. This rights cover the whole data about this document as well as its contents. Any uses or copies of this document in whole or in part must include the author's name.
Publishing Date
2023-01-30
 
WARNING: Learn what derived works are clicking here.
All rights of the thesis/dissertation are from the authors
CeTI-SC/STI
Digital Library of Theses and Dissertations of USP. Copyright © 2001-2024. All rights reserved.