人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
原著論文
証券アナリストの格下げ記事により価値を失う企業の特徴分析
センチメント解析と時系列パターン解析を中心として
岡田 克彦東 高宏中元 政一羽室 行信
著者情報
ジャーナル フリー

2012 年 27 巻 6 号 p. 355-364

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抄録
Securities analysts disclose their opinion on stocks and write reports indicating how they believe the target firm will perform against the market index. Many brokerage firms issue ratings based on five scales, namely, ``strong buy'', ``buy'', ``neutral'', ``sell'' and ``strong sell''. Empirically, it is known that firms downgraded from `strong buy' to `buy' lose value regardless of the fact that the analyst's signal is still positive. We investigate characteristics of firms that lose large market value in the post-downgrade period. Using data-mining approach, we found higher pre-downgrade volatility is strongly associated with the negative return in the post-downgrade period. Among high volatility firms, small capitalization stocks and stocks with inferior sentiment are particularly vulnerable to such downgrades. The result is consistent with the hypothesis in the field of Finance, i.e. the higher the disagreement level among investors in the market more overvalued the stock remains.
著者関連情報
© 2012 JSAI (The Japanese Society for Artificial Intelligence)
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