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Model selection for GARCH models usi...
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Yang, Mei.
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Model selection for GARCH models using AIC and BIC.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Model selection for GARCH models using AIC and BIC./
Author:
Yang, Mei.
Description:
55 p.
Notes:
Advisers: David Hamilton; Bruce Smith.
Contained By:
Masters Abstracts International40-06.
Subject:
Statistics. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ67541
ISBN:
0612675416
Model selection for GARCH models using AIC and BIC.
Yang, Mei.
Model selection for GARCH models using AIC and BIC.
- 55 p.
Advisers: David Hamilton; Bruce Smith.
Thesis (M.Sc.)--Dalhousie University (Canada), 2002.
I get the conclusions that the data I used is a white noise process, the AIC and BIC criteria for model selection is not always so good, the software Splus for this problem is not so good.
ISBN: 0612675416Subjects--Topical Terms:
517247
Statistics.
Model selection for GARCH models using AIC and BIC.
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Model selection for GARCH models using AIC and BIC.
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55 p.
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Advisers: David Hamilton; Bruce Smith.
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Source: Masters Abstracts International, Volume: 40-06, page: 1540.
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Thesis (M.Sc.)--Dalhousie University (Canada), 2002.
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I get the conclusions that the data I used is a white noise process, the AIC and BIC criteria for model selection is not always so good, the software Splus for this problem is not so good.
520
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The aim of my thesis is to provide some knowledge of ARCH and GARCH models and use them to analyze some data. I introduce the properties of ARCH and GARCH models and do a simulation study by comparing with white noise, AR, MA and ARMA models. I analyze the data by choosing the ‘best’ GARCH model.
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School code: 0328.
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Statistics.
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2002
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ67541
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