Using results from learning to forecast laboratory experiments to predict the effect of futures markets on spot market stability

Johan de Jong, Joep Sonnemans and Jan Tuinstra

Chapter 20 in Handbook of Experimental Finance, 2022, pp 250-266 from Edward Elgar Publishing

Abstract: In this chapter we first give a short overview of Learning to Forecast (LtF) experiments, thereby focusing on the differences between markets with positive and negative expectations feedback. Subsequently, we discuss how the results of these experiments can be used to predict behavior for more complicated market environments that exhibit both types of feedback. In particular, we will consider the case where a futures market is connected with a spot market.

Keywords: Economics and Finance (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/view/edcoll/9781800372337/9781800372337.00027.xml (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable

Related works:
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:elg:eechap:20035_20

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().