Backward stochastic difference equations for dynamic convex risk measures on a binomial tree

dc.contributor.authorElliott, R.
dc.contributor.authorSiu, T.
dc.contributor.authorCohen, S.
dc.date.issued2015
dc.description.abstractUsing backward stochastic difference equations (BSDEs), this paper studies dynamic convex risk measures for risky positions in a simple discrete-time, binomial tree model. A relationship between BSDEs and dynamic convex risk measures is developed using nonlinear expectations. The time consistency of dynamic convex risk measures is discussed in the binomial tree framework. A relationship between prices and risks is also established. Two particular cases of dynamic convex risk measures, namely risk measures with stochastic distortions and entropic risk measures, and their mathematical properties are discussed.
dc.description.statementofresponsibilityRobert J. Elliott, Tak Kuen Siu, Samuel N. Cohen
dc.identifier.citationJournal of Applied Probability, 2015; 52(3):771-785
dc.identifier.doi10.1017/S0021900200113427
dc.identifier.issn0021-9002
dc.identifier.issn1475-6072
dc.identifier.urihttp://hdl.handle.net/2440/101082
dc.language.isoen
dc.publisherApplied Probability Trust
dc.relation.granthttp://purl.org/au-research/grants/arc/DP1096243
dc.relation.granthttp://purl.org/au-research/grants/arc/DP130103517
dc.rights© Applied Probability Trust 2015
dc.source.urihttps://doi.org/10.1017/S0021900200113427
dc.subjectDynamic convex risk measure; conditional nonlinear expectation; binomial tree; backward stochastic difference equation; stochastic distortion probability
dc.titleBackward stochastic difference equations for dynamic convex risk measures on a binomial tree
dc.typeJournal article
pubs.publication-statusPublished

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