DocumentCode :
593899
Title :
A Study of Taiwan Political Elections and Stock Market Dynamism
Author :
Deng-Yiv Chiu ; Ming-Hsiung Ying ; Ping-Chung Yu
Author_Institution :
Dept. of Inf. Manage., Chung Hua Univ., Hsinchu, Taiwan
fYear :
2012
fDate :
25-28 Aug. 2012
Firstpage :
562
Lastpage :
565
Abstract :
We explore the impact caused by political elections on Taiwan stock market with Fuzzy theory and Support Vector Regression. the Fuzzy theory is used to infer the coincidence rate of a technical indicator for specific calculation day count and specific cluster count. then we form training data set to train Support Vector Regression to explore stock market dynamism.
Keywords :
fuzzy set theory; politics; public administration; regression analysis; stock markets; support vector machines; Taiwan political elections; Taiwan stock market; calculation day count; cluster count; fuzzy theory; stock market dynamism; support vector regression; technical indicator; training data; Educational institutions; Investments; Nominations and elections; Stock markets; Support vector machines; Time series analysis; Training data; Fuzzy theory; Support Vector Regression; political election; stock dynamism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
Conference_Location :
Kitakushu
Print_ISBN :
978-1-4673-2138-9
Type :
conf
DOI :
10.1109/ICGEC.2012.35
Filename :
6456894
Link To Document :
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