This paper investigates whether the Bloomberg investor sentiment index can provide valuable information for investors and fund managers for the purposes of stock picking and portfolio selection. The dataset consists of all the listed companies in the Euro area for the period from 2010 to 2021. By exploiting portfolio sorting strategies, the paper evaluates to what extent and how long investor sentiment can affect stock returns. Moreover, it considers whether additional factors can affect the relationship between sentiment and returns, casting light on the asymmetric effect related to positive and negative news. The findings are as follows. First, high (low) sentiment stocks exhibit high (low) returns on average. The average return of the portfolio that takes a long position in the stocks with very high sentiment and a short position in stocks with very low sentiment is statistically and economically significant and is robust to the inclusion of commonly used risk factors. Second, the predictability of stock returns using the sentiment indicator declines fast after one month. Third, evidence is found of the profitability of a long-short strategy that invests in stocks with low capitalization: profitability declines with the duration of the investment period. Finally, it is found that positive news is factored into the stock price more slowly than negative news, especially for stocks with low market capitalization.

Gambarelli., L. e S., Muzzioli. "News Sentiment indicators and the Cross‐Section of Stock Returns in the European Stock Market" Working paper, DEMB WORKING PAPER SERIES, Dipartimento di Economia Marco Biagi - Università degli Studi di Modena e Reggio Emilia, 2022. https://doi.org/10.25431/11380_1261317

News Sentiment indicators and the Cross‐Section of Stock Returns in the European Stock Market

Gambarelli. , L.;Muzzioli, S.
2022

Abstract

This paper investigates whether the Bloomberg investor sentiment index can provide valuable information for investors and fund managers for the purposes of stock picking and portfolio selection. The dataset consists of all the listed companies in the Euro area for the period from 2010 to 2021. By exploiting portfolio sorting strategies, the paper evaluates to what extent and how long investor sentiment can affect stock returns. Moreover, it considers whether additional factors can affect the relationship between sentiment and returns, casting light on the asymmetric effect related to positive and negative news. The findings are as follows. First, high (low) sentiment stocks exhibit high (low) returns on average. The average return of the portfolio that takes a long position in the stocks with very high sentiment and a short position in stocks with very low sentiment is statistically and economically significant and is robust to the inclusion of commonly used risk factors. Second, the predictability of stock returns using the sentiment indicator declines fast after one month. Third, evidence is found of the profitability of a long-short strategy that invests in stocks with low capitalization: profitability declines with the duration of the investment period. Finally, it is found that positive news is factored into the stock price more slowly than negative news, especially for stocks with low market capitalization.
2022
Gennaio
Gambarelli., L.; Muzzioli, S.
Gambarelli., L. e S., Muzzioli. "News Sentiment indicators and the Cross‐Section of Stock Returns in the European Stock Market" Working paper, DEMB WORKING PAPER SERIES, Dipartimento di Economia Marco Biagi - Università degli Studi di Modena e Reggio Emilia, 2022. https://doi.org/10.25431/11380_1261317
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1261317
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