A PLS Approach to Measuring Investor Sentiment in Chinese Stock Market

المؤلفون المشاركون

Zhu, Shuzhen
He, Gang
Gu, Haifeng

المصدر

Discrete Dynamics in Nature and Society

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-6، 6ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-08-06

دولة النشر

مصر

عدد الصفحات

6

التخصصات الرئيسية

الرياضيات

الملخص EN

We select five objective sentiment indicators and one subjective sentiment indicator to build investor sentiment composite index in Chinese stock market by using the partial least squares.

The reason why we do that is to improve the shortcomings of the principal component analysis, which was adopted to build investor sentiment composite index in the pioneering research.

Moreover, due to the large proportion of individual investors in Chinese stock market and the rapid change of investor sentiment, we innovatively use the weekly data with smaller information granularity and higher frequency.

Through empirical tests for its reasonability and market’s predictive capability, we find that this index appears to fit the data better and improves prediction.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

He, Gang& Zhu, Shuzhen& Gu, Haifeng. 2017. A PLS Approach to Measuring Investor Sentiment in Chinese Stock Market. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1151206

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

He, Gang…[et al.]. A PLS Approach to Measuring Investor Sentiment in Chinese Stock Market. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1151206

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

He, Gang& Zhu, Shuzhen& Gu, Haifeng. A PLS Approach to Measuring Investor Sentiment in Chinese Stock Market. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1151206

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1151206