Title
A Turning Point Method For Measuring Investor Sentiment
Keywords
Investor sentiment; Technical analysis; Turning points; Volatility
Abstract
Technical analysis has always been a controversial topic with weak evidence in the literature while behavioral finance has enjoyed success. Yet the objective of technical analysis is to measure investors' behavior, implying the need to reexamine the study of technical methods. This study begins to close the gap in evidence between behavioral finance and technical analysis by developing an objective turning point methodology to infer unobservable investor sentiment. Using Parkinson's [1980] estimate of volatility, the findings indicate that the turning point method not only captures investor sentiment effectively, but more effectively than traditional time-static methods. © 2014 © The Institute of Behavioral Finance.
Publication Date
1-1-2014
Publication Title
Journal of Behavioral Finance
Volume
15
Issue
1
Number of Pages
30-42
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1080/15427560.2014.877464
Copyright Status
Unknown
Socpus ID
84897768584 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84897768584
STARS Citation
Sturm, Ray R., "A Turning Point Method For Measuring Investor Sentiment" (2014). Scopus Export 2010-2014. 9741.
https://stars.library.ucf.edu/scopus2010/9741