Monthly data used and described in Cheema, Man and Szulczyk, “Does Investor Sentiment Predict the Near-term Returns of the Chinese Stock Market?" International Review of Finance, forthcoming, 2018. DOI: 10.1111/irfi.12202. Suggestions: We find that investor sentiment index does not explain aggregate stock market returns in China. However, we suggest that it can be used to explain stock market anomalies, etc. The following paper finds that negative MAX effect is stronger following high but not low sentiment periods: Cheema Muhammad A., Nartea Gilbert and Man Yime, "Maxing Out in China: Optimism or Attention? International Review of Finance, forthcoming, 2018
This article focuses on investor sentiment and its relationships to stock returns and volatility in ...
We use daily survey data on Chinese institutional investors’ forecasts to measure investors' sentime...
Bali et al. (2011) document a maximum daily returns (MAX) premium in the US where stocks with the hi...
Monthly data used and described in Cheema, Man and Szulczyk, “Does Investor Sentiment Predict the Ne...
Monthly data used and described in Cheema, Man and Szulczyk, “Does Investor Sentiment Predict the Ne...
34 pagesThis paper creates an investor sentiment index for the Chinese stock market based on the met...
The thesis studies how investor sentiment affects the cross-section of stock returns in china stock ...
© 2018 International Review of Finance Ltd. Recent evidence on the relationship between investor sen...
Recent evidence on the relationship between investor sentiment and subsequent monthly market returns...
Recent evidence on the relationship between investor sentiment and subsequent monthly market returns...
Recent evidence on the relationship between investor sentiment and subsequent monthly market returns...
© 2017 Elsevier Ltd This paper challenges the prevailing view that investor sentiment is a contraria...
Purpose: While the classic futures pricing tool works well for capital markets that are less affecte...
Purpose: While the classic futures pricing tool works well for capital markets that are less affecte...
This article focuses on investor sentiment and its relationships to stock returns and volatility in ...
This article focuses on investor sentiment and its relationships to stock returns and volatility in ...
We use daily survey data on Chinese institutional investors’ forecasts to measure investors' sentime...
Bali et al. (2011) document a maximum daily returns (MAX) premium in the US where stocks with the hi...
Monthly data used and described in Cheema, Man and Szulczyk, “Does Investor Sentiment Predict the Ne...
Monthly data used and described in Cheema, Man and Szulczyk, “Does Investor Sentiment Predict the Ne...
34 pagesThis paper creates an investor sentiment index for the Chinese stock market based on the met...
The thesis studies how investor sentiment affects the cross-section of stock returns in china stock ...
© 2018 International Review of Finance Ltd. Recent evidence on the relationship between investor sen...
Recent evidence on the relationship between investor sentiment and subsequent monthly market returns...
Recent evidence on the relationship between investor sentiment and subsequent monthly market returns...
Recent evidence on the relationship between investor sentiment and subsequent monthly market returns...
© 2017 Elsevier Ltd This paper challenges the prevailing view that investor sentiment is a contraria...
Purpose: While the classic futures pricing tool works well for capital markets that are less affecte...
Purpose: While the classic futures pricing tool works well for capital markets that are less affecte...
This article focuses on investor sentiment and its relationships to stock returns and volatility in ...
This article focuses on investor sentiment and its relationships to stock returns and volatility in ...
We use daily survey data on Chinese institutional investors’ forecasts to measure investors' sentime...
Bali et al. (2011) document a maximum daily returns (MAX) premium in the US where stocks with the hi...