DocumentCode :
2552120
Title :
Notice of Retraction
Analysis of influence of investor relation documents to stock price
Author :
Sakai, Tadashi ; Matsushita, M. ; Flanagan, Brendan ; Jun Zeng ; Hirokawa, Sachio
Author_Institution :
Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1280
Lastpage :
1284
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Not only specialists but also ordinary people have interests in the stock price changes. The present paper analyzes the influence of the frequency of characteristic words that appear in the investor relation (IR) documents of companies. Is it true that the positive words cause the rise of a stock price, and the negative words cause the fall? We focused on 57 medical-supplies-related companies which have listed on Tokyo Stock Exchange. The stock price data and IR documents of the period in 2009 to 2011 were collected. We prepared 10 positive words and 10 negative words to evaluate the score of IR documents. The rate of the stock price compared with the previous day and the document score was analyzed. It is confirmed that the correlation of the rate and the document score is higher for the companies with high stock price ratio of change.
Keywords :
document handling; investment; medical supplies; pricing; stock markets; IR documents; Tokyo stock exchange; characteristic word frequency influence analysis; document score; investor relation documents; medical-supplies-related companies; negative words; positive words; stock price changes; Blogs; Companies; Correlation; Educational institutions; Stock markets; Twitter; Web pages; IR document; stock price;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
Type :
conf
DOI :
10.1109/FSKD.2012.6234291
Filename :
6234291
Link To Document :
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