Uncertainty and the Cost of Reversal
Giovanni Immordino
The Geneva Papers on Risk and Insurance Theory, 2005, vol. 30, issue 2, 119-128
Abstract:
For standard irreversibility theory the prospect of acquiring better information in the future should induce more flexible decisions: the “irreversibility effect”. This result relies on the definition of an irreversible position as one that would be technically or economically impossible to reverse. In practice, many positions can be reversed at an affordable cost. In this case an increase in informativeness alone is not enough to bias decisions in favour of more flexibility. We look for restrictions on decision sets, information structures and preferences that make possible to study the effect of information on flexibility. Copyright Springer Science + Business Media, Inc. 2005
Keywords: irreversibility; information structures (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10713-005-4674-3 (text/html)
Access to full text is restricted to subscribers.
Related works:
Journal Article: Uncertainty and the Cost of Reversal (2005) 
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:kap:geneva:v:30:y:2005:i:2:p:119-128
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10713
DOI: 10.1007/s10713-005-4674-3
Access Statistics for this article
The Geneva Papers on Risk and Insurance Theory is currently edited by Michael Hoy and Nicolas Treich
More articles in The Geneva Papers on Risk and Insurance Theory from Springer, International Association for the Study of Insurance Economics (The Geneva Association) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().