Valuation And Hedging Of Contingent Claims In Complete And Incomplete Markets PDF Download

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Hedging American Contingent Claims with Constrained Portfolios

Hedging American Contingent Claims with Constrained Portfolios
Author: Ioannis Karatzas
Publisher:
Total Pages:
Release: 1998
Genre:
ISBN:

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The valuation theory for American Contingent Claims, due to Bensoussan (1984) and Karatzas (1988), is extended to deal with constraints on portfolio choice, including incomplete markets and borrowing/short-selling constraints, or with different interest rates for borrowing and lending. In the unconstrained case, the classical theory provides a single arbitrage-free price $u_0$; this is expressed as the supremum, over all stopping times, of the claim's expected discounted value under the equivalent martingale measure. In the presence of constraints, $ {u_0 }$ is replaced by an entire interval $[h_{ rm low}, h_{ rm up}]$ of arbitrage-free prices, with endpoints characterized as $h_{ rm low} = inf_{ nu in{ cal D}}u_ nu, h_{ rm up} = sup_{ nu in{ cal D}} u_ nu$. Here $u_ nu$ is the analogue of $u_0$, the arbitrage-free price with unconstrained portfolios, in an auxiliary market model ${ cal M}_ nu$; and the family $ {{ calM}_ nu }_{ nu in{ cal D}}$ is suitably chosen, to contain the original model and to reflect the constraints on portfolios. For several such constraints, explicit computations of the endpoints are carried out in the case of the American call-option. The analysis involves novel results in martingale theory (including simultaneous Doob Meyer decompositions), optimal stopping and stochastic control problems, stochastic games, and uses tools from convex analysis.


Pricing and Hedging Contingent Claims with Liquidity Costs and Market Impact

Pricing and Hedging Contingent Claims with Liquidity Costs and Market Impact
Author: Frederic Abergel
Publisher:
Total Pages: 13
Release: 2013
Genre:
ISBN:

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We study the influence of taking liquidity costs and market impact into account when hedging a contingent claim, first in the discrete time setting, then in continuous time. In the latter case and in a complete market, we derive a fully non-linear pricing partial differential equation, and characterizes its parabolic nature according to the value of a numerical parameter naturally interpreted as a relaxation coefficient for market impact. We then investigate the more challenging case of stochastic volatility models, and prove the parabolicity of the pricing equation in a particular case.