4.4 Article

SINGULAR FORWARD-BACKWARD STOCHASTIC DIFFERENTIAL EQUATIONS AND EMISSIONS DERIVATIVES

期刊

ANNALS OF APPLIED PROBABILITY
卷 23, 期 3, 页码 1086-1128

出版社

INST MATHEMATICAL STATISTICS
DOI: 10.1214/12-AAP865

关键词

Stochastic analysis; forward-backward stochastic differential equations; emissions derivatives

资金

  1. NSF [DMS-08-06591]
  2. Chair Financial Risks of the Risk Foundation
  3. Societe Generale
  4. Federation Bancaire Francaise
  5. EDF
  6. CA-CIB
  7. Division Of Mathematical Sciences
  8. Direct For Mathematical & Physical Scien [1211928] Funding Source: National Science Foundation

向作者/读者索取更多资源

We introduce two simple models of forward-backward stochastic differential equations with a singular terminal condition and we explain how and why they appear naturally as models for the valuation of CO2 emission allowances. Single phase cap-and-trade schemes lead readily to terminal conditions given by indicator functions of the forward component, and using fine partial differential equations estimates, we show that the existence theory of these equations, as well as the properties of the candidates for solution, depend strongly upon the characteristics of the forward dynamics. Finally, we give a first order Taylor expansion and show how to numerically calibrate some of these models for the purpose of CO2 option pricing.

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