Presentation 2013-03-15
Comparison of model performances of economic time series and its application to financial products
Tomoki NAKANO, Takashi HAKUTA, Yasukuni MORI, Ikuo MATSUBA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The main approach to analyze time series data is to build a model and repeat a simulation. Many models have been proposed and has been applied in various fields such as financial engineering. However, it is not clear which model is the best. Therefore, we applied two different kinds of model to economic time series data and examined the performance and characteristics of them. In addition, we applied them to financial instruments that are actually bought and sold, and we compared the benefits and risks of change.
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Keyword(in English) GARCH / Monte Carlo Simulation / Random Walk / Stable Distrtibution
Paper # NLP2012-160
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Conference Information
Committee NLP
Conference Date 2013/3/7(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Comparison of model performances of economic time series and its application to financial products
Sub Title (in English)
Keyword(1) GARCH
Keyword(2) Monte Carlo Simulation
Keyword(3) Random Walk
Keyword(4) Stable Distrtibution
1st Author's Name Tomoki NAKANO
1st Author's Affiliation Faculty of Engineering, Chiba University()
2nd Author's Name Takashi HAKUTA
2nd Author's Affiliation Faculty of Engineering, Chiba University
3rd Author's Name Yasukuni MORI
3rd Author's Affiliation Graduate School of Advanced Integration Science, Chiba University
4th Author's Name Ikuo MATSUBA
4th Author's Affiliation Graduate School of Advanced Integration Science, Chiba University
Date 2013-03-15
Paper # NLP2012-160
Volume (vol) vol.112
Number (no) 487
Page pp.pp.-
#Pages 6
Date of Issue