Bidirectional relationship between investor sentiment and excess returns: New evidence from the wavelet perspective
Martyna Marczak and
Thomas Beissinger ()
No 06-2015, Hohenheim Discussion Papers in Business, Economics and Social Sciences from University of Hohenheim, Faculty of Business, Economics and Social Sciences
Abstract:
This paper sheds new light on the mutual relationship between investor sentiment and excess returns corresponding to the bubble component of stock prices. We propose to use the wavelet concept of the phase angle to determine the lead-lag relation between these variables. The wavelet phase angle allows for decoupling short- and long-run relations and is additionally capable of identifying time-varying comovement patterns. By applying this concept to excess returns of the monthly S&P500 index and two alternative monthly US sentiment indicators we find that in the short run (until 3 months) sentiment is leading returns whereas for periods above 3 months the opposite can be observed.
Keywords: wavelet phase angle; wavelet analysis; sentiment indicator; excess returns; speculative bubble; stock market (search for similar items in EconPapers)
JEL-codes: C22 C32 G11 G14 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/117331/1/834549735.pdf (application/pdf)
Related works:
Journal Article: Bidirectional relationship between investor sentiment and excess returns: new evidence from the wavelet perspective (2016) 
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:zbw:hohdps:062015
Access Statistics for this paper
More papers in Hohenheim Discussion Papers in Business, Economics and Social Sciences from University of Hohenheim, Faculty of Business, Economics and Social Sciences Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().