Publication:

Risk minimization and optimal derivative design in a principal agent game

Date

Date

Date
2008
Journal Article
Published version

Citations

Citation copied

Horst, U., & Moreno, S. (2008). Risk minimization and optimal derivative design in a principal agent game. Mathematics and Financial Economics, 2(1), 1–27. https://doi.org/10.1007/s11579-008-0012-8

Abstract

Abstract

Abstract

We consider the problem of Adverse Selection and optimal derivative design within a Principal–Agent framework. The principal’s income is exposed to non-hedgeable risk factors arising, for instance, from weather or climate phenomena. She evaluates her risk using a coherent and law invariant risk measure and tries minimize her exposure by selling derivative securities on her income to individual agents. The agents have mean–variance preferences with heterogeneous risk aversion coefficients. An agent’s degree of risk aversion is private

Additional indexing

Creators (Authors)

  • Horst, Ulrich
    affiliation.icon.alt
  • Moreno, Santiago

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
2

Number

Number

Number
1

Page Range

Page Range

Page Range
1

Page end

Page end

Page end
27

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Publication date

Publication date

Publication date
2008-08-05

Date available

Date available

Date available
2023-08-24

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1862-9679

OA Status

OA Status

OA Status
Green

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:7969

Citations

Citation copied

Horst, U., & Moreno, S. (2008). Risk minimization and optimal derivative design in a principal agent game. Mathematics and Financial Economics, 2(1), 1–27. https://doi.org/10.1007/s11579-008-0012-8

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