Equilibrium pricing under relative performance concerns

Jana Bielagk, Arnaud Lionnet, Gonçalo dos Reis

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
198 Downloads (Pure)

Abstract

We investigate the effects of the social interactions of a finite set of agents on an equilibrium pricing mechanism. A derivative written on nontradable underlyings is introduced to the market and priced in an equilibrium framework by agents who assess risk using convex dynamic risk measures expressed by backward stochastic differential equations (BSDEs). Each agent not only is exposed to financial and nonfinancial risk factors, but she also faces performance concerns with respect to the other agents. Within our proposed model we prove the existence and uniqueness of an equilibrium whose analysis involves systems of fully coupled multidimensional quadratic BSDEs. We extend the theory of the representative agent by showing that a nonstandard aggregation of risk measures is possible via weighted-dilated infimal convolution. We analyze the impact of the problem's parameters on the pricing mechanism, in particular how the agents' performance concern rates affect prices and risk perceptions. In extreme situations, we find that the concern rates destroy the equilibrium while the risk measures themselves remain stable.
Original languageEnglish
Pages (from-to)435–482
Number of pages48
JournalSIAM Journal on Financial Mathematics
Volume8
Issue number1
Early online date29 Jun 2017
DOIs
Publication statusPublished - 2017

Keywords

  • financial innovation
  • equilibrium pricing
  • social interactions
  • performance concerns
  • representative agent
  • $g$-conditional risk measure
  • multidimensional quadratic BSDE
  • entropic risk

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