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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.


Hedging Contingent Claims with Constrained Portfolios and Nonlinear Wealth Dynamics

Hedging Contingent Claims with Constrained Portfolios and Nonlinear Wealth Dynamics
Author: Dirk Ebmeyer
Publisher:
Total Pages: 23
Release: 2007
Genre:
ISBN:

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The purpose of this paper is to characterize the cost of super-replicating a contingent claim in a dynamic stochastic securities market under constraints. The dynamic market under consideration will allow for two different types of trading frictions: convex constraints on the portfolio processes describing the amount of money invested in the securities as well as nonlinearities in the stochastic differential equation which drives the evolution of the investors wealth. Besides a characterization of the upper hedging price of a contingent claim using stochastic control theory, the main result of this paper is an existence result for a hedging strategy for a given contingent claim in case agents only face nonlinearities in their wealth process.


The Valuation of Contingent Claims Under Portfolio Constraints

The Valuation of Contingent Claims Under Portfolio Constraints
Author: Claus Munk
Publisher:
Total Pages: 42
Release: 2001
Genre:
ISBN:

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With constrained portfolios contingent claims do generally not have a unique price that rules out arbitrage opportunities. Earlier studies have demonstrated that, when there are no constraints on the hedge portfolio, a no-arbitrage price interval for any contingent claim exists. I consider the more realistic case where the constraints are imposed on the total portfolio of each investor and define reservation buying and selling prices for contingent claims. I show how these reservation prices can be computed numerically and study two simple examples in which the reservation prices and the corresponding hedging strategies are compared to the Black-Scholes setting. Such computations are highly relevant, e.g., for the valuation of real options.


Lectures on the Mathematics of Finance

Lectures on the Mathematics of Finance
Author: Ioannis Karatzas
Publisher: American Mathematical Soc.
Total Pages: 163
Release: 1997
Genre: Business & Economics
ISBN: 0821809091

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In this text, the author discusses the main aspects of mathematical finance. These include, arbitrage, hedging and pricing of contingent claims, portfolio optimization, incomplete and/or constrained markets, equilibrium, and transaction costs. The book outlines advances made possible during the last fifteen years due to the methodologies of stochastic analysis and control. Readers are presented with current research, and open problems are suggested. This tutorial survey of the rapidly expanding field of mathematical finance is addressed primarily to graduate students in mathematics. Familiarity is assumed with stochastic analysis and parabolic partial differential equations. The text makes significant use of students' mathematical skills, but always in connection with interesting applied problems.


Martingale Methods in Financial Modelling

Martingale Methods in Financial Modelling
Author: Marek Musiela
Publisher: Springer Science & Business Media
Total Pages: 521
Release: 2013-06-29
Genre: Mathematics
ISBN: 3662221322

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A comprehensive and self-contained treatment of the theory and practice of option pricing. The role of martingale methods in financial modeling is exposed. The emphasis is on using arbitrage-free models already accepted by the market as well as on building the new ones. Standard calls and puts together with numerous examples of exotic options such as barriers and quantos, for example on stocks, indices, currencies and interest rates are analysed. The importance of choosing a convenient numeraire in price calculations is explained. Mathematical and financial language is used so as to bring mathematicians closer to practical problems of finance and presenting to the industry useful maths tools.


Stochastic Calculus of Variations in Mathematical Finance

Stochastic Calculus of Variations in Mathematical Finance
Author: Paul Malliavin
Publisher: Springer Science & Business Media
Total Pages: 148
Release: 2006-02-25
Genre: Business & Economics
ISBN: 3540307990

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Highly esteemed author Topics covered are relevant and timely


Methods of Mathematical Finance

Methods of Mathematical Finance
Author: Ioannis Karatzas
Publisher: Springer
Total Pages: 426
Release: 2017-01-10
Genre: Mathematics
ISBN: 1493968459

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This sequel to Brownian Motion and Stochastic Calculus by the same authors develops contingent claim pricing and optimal consumption/investment in both complete and incomplete markets, within the context of Brownian-motion-driven asset prices. The latter topic is extended to a study of equilibrium, providing conditions for existence and uniqueness of market prices which support trading by several heterogeneous agents. Although much of the incomplete-market material is available in research papers, these topics are treated for the first time in a unified manner. The book contains an extensive set of references and notes describing the field, including topics not treated in the book. This book will be of interest to researchers wishing to see advanced mathematics applied to finance. The material on optimal consumption and investment, leading to equilibrium, is addressed to the theoretical finance community. The chapters on contingent claim valuation present techniques of practical importance, especially for pricing exotic options.