Repository logo
 
Publication

Good deals in markets with frictions

dc.contributor.authorBalbás, Alejandro
dc.contributor.authorBalbás, Beatriz
dc.contributor.authorBalbás, Raquel
dc.date.accessioned2012-04-19T10:31:55Z
dc.date.available2012-04-19T10:31:55Z
dc.date.issued2011-07
dc.description.abstractThis paper studies a portfolio choice problem such that the pricing rule may incorporate transaction costs and the risk measure is coherent and expectation bounded. We will prove the necessity of dealing with pricing rules such that there exists an essentially bounded stochastic discount factor, which must be also bounded from below by a strictly positive value. Otherwise good deals will be available to traders, i.e., depending on the selected risk measure, investors can build portfolios whose (risk, return) will be as close as desired to (−infinity, infinity) or (0, infinity). This pathologic property still holds for vector risk measures (i.e., if we minimize a vector valued function whose components are risk measures). It is worthwhile to point out that essentially bounded stochastic discount factors are not usual in financial literature. In particular, the most famous frictionless, complete and arbitrage free pricing models imply the existence of good deals for every coherent and expectation bounded (scalar or vector) measure of risk, and the incorporation of transaction costs will not guarantee the solution of this caveat.por
dc.identifier.urihttp://hdl.handle.net/10400.21/1400
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectRisk measurepor
dc.subjectPerfect and imperfect marketpor
dc.subjectStochastic discount factorpor
dc.subjectPortfolio choice modelpor
dc.subjectGood dealpor
dc.titleGood deals in markets with frictionspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceXII Iberian-Italian Congress of Financial and Actuarial Mathematicspor
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
4.pdf
Size:
233.78 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: