Application of arima and garch models in forecasting crude oil prices [electronic resource] /

Thesis (Sarjana Sains (Matematik)) - Universiti Teknologi Malaysia, 2009

Bibliographic Details
Main Authors: Lee, Chee Nian, 1985-, Fakulti Sains
Format:
Language:eng
Published: 2009
Subjects:
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author Lee, Chee Nian, 1985-
Fakulti Sains
author_facet Lee, Chee Nian, 1985-
Fakulti Sains
author_sort Lee, Chee Nian, 1985-
collection OCEAN
description Thesis (Sarjana Sains (Matematik)) - Universiti Teknologi Malaysia, 2009
first_indexed 2024-03-05T10:00:30Z
format
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institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T10:00:30Z
publishDate 2009
record_format dspace
spelling KOHA-OAI-TEST:4302932020-12-19T17:15:22ZApplication of arima and garch models in forecasting crude oil prices [electronic resource] / Lee, Chee Nian, 1985- Fakulti Sains 2009engThesis (Sarjana Sains (Matematik)) - Universiti Teknologi Malaysia, 2009PSZJBLOptions (Finance)Stock price forecastingFinance
spellingShingle Options (Finance)
Stock price forecasting
Finance
Lee, Chee Nian, 1985-
Fakulti Sains
Application of arima and garch models in forecasting crude oil prices [electronic resource] /
title Application of arima and garch models in forecasting crude oil prices [electronic resource] /
title_full Application of arima and garch models in forecasting crude oil prices [electronic resource] /
title_fullStr Application of arima and garch models in forecasting crude oil prices [electronic resource] /
title_full_unstemmed Application of arima and garch models in forecasting crude oil prices [electronic resource] /
title_short Application of arima and garch models in forecasting crude oil prices [electronic resource] /
title_sort application of arima and garch models in forecasting crude oil prices electronic resource
topic Options (Finance)
Stock price forecasting
Finance
work_keys_str_mv AT leecheenian1985 applicationofarimaandgarchmodelsinforecastingcrudeoilpriceselectronicresource
AT fakultisains applicationofarimaandgarchmodelsinforecastingcrudeoilpriceselectronicresource