EconPapers    
Economics at your fingertips  
 

A Principal Component Approach to Measuring Investor Sentiment in Hong Kong

Terence Tai Leung Chong, Bingqing Cao and Wing-Keung Wong

MPRA Paper from University Library of Munich, Germany

Abstract: In light of the increasing integration between China and Hong Kong, this paper develops a new market sentiment index for the Hong Kong stock market by including the CSI 300 index of the Chinese equity market. A threshold regression model using the sentiment index as a threshold variable is estimated to capture the state of the Hong Kong stock market.

Keywords: Principal component analysis; Market sentiment; CSI 300; Threshold model (search for similar items in EconPapers)
JEL-codes: C22 G17 (search for similar items in EconPapers)
Date: 2017-02-26
New Economics Papers: this item is included in nep-cna and nep-fmk
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/77147/1/MPRA_paper_77147.pdf original version (application/pdf)

Related works:
Journal Article: A Principal Component Approach to Measuring Investor Sentiment in Hong Kong (2017) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:77147

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-22
Handle: RePEc:pra:mprapa:77147