Statistical analysis and modeling in financial time series

Master's

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書目詳細資料
主要作者: SUN JIE
其他作者: COMPUTATIONAL SCIENCE
格式: Theses and Dissertations
語言:English
出版: 2010
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在線閱讀:http://scholarbank.nus.edu.sg/handle/10635/14765
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機構: National University of Singapore
語言: English
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spelling sg-nus-scholar.10635-147652024-10-25T18:52:11Z Statistical analysis and modeling in financial time series SUN JIE COMPUTATIONAL SCIENCE CHEN KAN Conditional return distribution, Conditional average of price changes, Short-term trend, Trend reversal, Histogram-method, Adaptive-kernal method Master's MASTER OF SCIENCE 2010-04-08T10:46:33Z 2010-04-08T10:46:33Z 2005-07-21 Thesis SUN JIE (2005-07-21). Statistical analysis and modeling in financial time series. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/14765 NOT_IN_WOS en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Conditional return distribution, Conditional average of price changes, Short-term trend, Trend reversal, Histogram-method, Adaptive-kernal method
spellingShingle Conditional return distribution, Conditional average of price changes, Short-term trend, Trend reversal, Histogram-method, Adaptive-kernal method
SUN JIE
Statistical analysis and modeling in financial time series
description Master's
author2 COMPUTATIONAL SCIENCE
author_facet COMPUTATIONAL SCIENCE
SUN JIE
format Theses and Dissertations
author SUN JIE
author_sort SUN JIE
title Statistical analysis and modeling in financial time series
title_short Statistical analysis and modeling in financial time series
title_full Statistical analysis and modeling in financial time series
title_fullStr Statistical analysis and modeling in financial time series
title_full_unstemmed Statistical analysis and modeling in financial time series
title_sort statistical analysis and modeling in financial time series
publishDate 2010
url http://scholarbank.nus.edu.sg/handle/10635/14765
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