Making mean-variance hedging implementable in a partially observable market
From MaRDI portal
Publication:5247228
DOI10.1080/14697688.2013.867453zbMath1402.91695arXiv1306.3359OpenAlexW3125539696MaRDI QIDQ5247228
Masaaki Fujii, Akihiko Takahashi
Publication date: 23 April 2015
Published in: Quantitative Finance (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1306.3359
Asymptotic approximations, asymptotic expansions (steepest descent, etc.) (41A60) Financial applications of other theories (91G80) Portfolio theory (91G10)
Related Items (6)
Asymptotic Expansion Approach in Finance ⋮ Equilibrium and precommitment mean-variance portfolio selection problem with partially observed price index and multiple assets ⋮ ON MEAN–VARIANCE HEDGING UNDER PARTIAL OBSERVATIONS AND TERMINAL WEALTH CONSTRAINTS ⋮ Optimal hedging for fund and insurance managers with partially observable investment flows ⋮ Pricing and hedging of variable annuities with state-dependent fees ⋮ A polynomial scheme of asymptotic expansion for backward SDEs and option pricing
Cites Work
- Exponential utility maximization under partial information
- An asymptotic expansion approach to pricing financial contingent claims
- Dynamic programming and mean-variance hedging
- On validity of the asymptotic expansion approach in contingent claim analysis
- Global adapted solution of one-dimensional backward stochastic Riccati equations, with application to the mean-variance hedging.
- Backward stochastic differential equations and partial differential equations with quadratic growth.
- Mean-variance hedging via stochastic control and BSDEs for general semimartingales
- Optimal consumption and portfolio selection with stochastic differential utility
- Backward stochastic partial differential equations related to utility maximization and hedging
- Momentum-space approach to asymptotic expansion for stochastic filtering
- New conditions for boundedness of the solution of a matrix Riccati differential equation
- Mean-Variance Hedging Under Partial Information
- MEAN-VARIANCE HEDGING FOR PARTIALLY OBSERVED DRIFT PROCESSES
- Backward Stochastic PDE and Imperfect Hedging
This page was built for publication: Making mean-variance hedging implementable in a partially observable market