Details

Autor(en) / Beteiligte

• Okada, Katsuhiko
• Azuma, Takahiro
• Nakamoto, Masakazu
• Hamuro, Yukinobu

Titel

Stock Performance after Securities Analyst's Rating Downgrades: Using Sentiment analysis and Sequencial Pattern Mining

Ist Teil von

• Transactions of the Japanese Society for Artificial Intelligence, 2012, Vol.27(6), pp.355-364

Ort / Verlag

The Japanese Society for Artificial Intelligence

Erscheinungsjahr

2012

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• 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.