The adaptiveness in stock markets: testing the stylized facts in the DAX 30
Xuezhong (Tony) He () and
Youwei Li
Journal of Evolutionary Economics, 2017, vol. 27, issue 5, No 11, 1094 pages
Abstract:
Abstract By testing a simple asset pricing model of heterogeneous agents to characterize the power-law behavior of the DAX 30 from 1975 to 2007, we provide supporting evidence on empirical findings that investors and fund managers use combinations of fixed and switching strategies based on fundamental and technical analysis when making investment decisions. A mechanism analysis based on the calibrated model provides a behavioral insight into the explanatory power of rational switching behavior of investors on the volatility clustering and long range dependence in return volatility.
Keywords: Adaptive switching; Fundamental and technical analysis; Stylized facts; Power-law; Tail index (search for similar items in EconPapers)
JEL-codes: C15 D84 G12 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s00191-017-0505-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
Working Paper: The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30 (2015) 
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:spr:joevec:v:27:y:2017:i:5:d:10.1007_s00191-017-0505-9
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/191/PS2
DOI: 10.1007/s00191-017-0505-9
Access Statistics for this article
Journal of Evolutionary Economics is currently edited by Uwe Cantner, Elias Dinopoulos, Horst Hanusch and Luigi Orsenigo
More articles in Journal of Evolutionary Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().