Detalhes bibliográficos
| Ano de defesa: |
2012 |
| Autor(a) principal: |
LIMA, Neilson Ferreira de
 |
| Orientador(a): |
FERREIRA, Tiago Alessandro Espínola |
| Banca de defesa: |
FIGUEIRÊDO, Pedro Hugo de,
STOSIC, Tatijana,
STOSIC, Borko |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Federal Rural de Pernambuco
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Biometria e Estatística Aplicada
|
| Departamento: |
Departamento de Estatística e Informática
|
| País: |
Brasil
|
| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5230
|
Resumo: |
A time series is any set or ordered sequence of observations from a specific index, most often this is the time index, but may also be function of some physical parameter such as volume or space, among others. In our analysis, we observed indices financial markets, taking into account the number of return normalized by the standard deviation of the return series. And so we analyze the performance of five financial market indices. To model these markets we use the exponential distribution probability function is shown in the probability of an agent survive on the market without incurring a collision or shock. Generally, the analysis of financial time series is based on return series of stock, assets or indices. This series builds on successive differences between different times. Thus, it is used to measure the gains and losses over a given period. It can be captured price movement of a particular stock or index. And the volatility of these markets, we can classify it as a market "hot" markets, high volatility, market or "cold" low volatility. |
