The Impact of Interest Rate Policy on Individual Expectations and Asset Bubbles in Experimental Markets
Te Bao and
Jichuan Zong
Additional contact information
Jichuan Zong: Laboratory of Experimental Economics and School of Finance, Dongbei University of Finance and Economics
No 1802, Economic Growth Centre Working Paper Series from Nanyang Technological University, School of Social Sciences, Economic Growth Centre
Abstract:
Previous literature in experimental finance finds little support for the effectiveness of interest rate policy in stabilizing asset price bubbles. We run a learning to forecast experiment with an interest rate policy that is strongly responsive to deviation of asset prices from the fundamental. Our result shows that the average price deviation is significantly lower in the treatments with the interest rate policy than in the baseline treatment without the policy. Our result also suggests that the policy is effective irrespective of whether or not the purpose of it is announced/explained to the participants.
Keywords: interest rate policy; asset bubble; experimental economics; learning to forecast experiment; behavioral finance (search for similar items in EconPapers)
JEL-codes: C92 C93 D84 G01 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2018-02
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www3.ntu.edu.sg/hss2/egc/wp/2018/2018-02.pdf (application/pdf)
Related works:
Journal Article: The impact of interest rate policy on individual expectations and asset bubbles in experimental markets (2019) 
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:nan:wpaper:1802
Access Statistics for this paper
More papers in Economic Growth Centre Working Paper Series from Nanyang Technological University, School of Social Sciences, Economic Growth Centre Contact information at EDIRC.
Bibliographic data for series maintained by Magdalene Lim ().