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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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1122 · Sep 201319922001200920172026
40 results for Super-hedging

New method calculates super-hedging prices with transaction costs.

problem Super-hedging European contingent claims under proportional transaction costs.
method Explicit recursive scheme based on convex duality and Legendre-Fenchel transform.
result Computes super-hedging price and optimal strategy without martingale arguments.

This paper provides formulas for minimum cost super-hedging in a multi-asset binomial market.

problem Finding minimum cost super-hedging strategies in a multi-asset, incomplete market model.
method Explicit formulas for minimum cost super-hedging strategies for various European type multi-asset contingent claims.
result Explicit formulas for non-negative local residuals of super-hedging strategies.

We consider a financial market with liquidity cost as in Çetin, Jarrow and Protter [2004], where the supply function Sε(s,ν)S^ε(s,ν) depends on a parameter ε0ε\geq 0 with S0(s,ν)=sS^0(s,ν)=s corresponding to the perfect liquid situation. Using the PDE characterization of Çetin, Soner and Touzi [2010] of the super-hedging cost of a…

2012-08-18abs ↗pdf ↗

Paper develops a continuous-time framework for financial markets without stochastic calculus.

problem Developing continuous-time financial models without stochastic calculus.
method A general framework using conditional topologies and pseudo-distance topologies.
result No-arbitrage conditions hold in continuous time if and only if they hold in discrete time.

The paper develops formulas for hedging and arbitrage in markets with random stopping times.

problem Developing pricing formulas for assets in markets with random stopping times.
method Modeling market with random stopping time, analyzing conditional essential supremum, and describing super-hedging prices.
result Explicit formulas for super-hedging prices and Immediate-Profit arbitrage are derived.

We consider as given a discrete time financial market with a risky asset and options written on that asset and determine both the sub- and super-hedging prices of an American option in the model independent framework of ArXiv:1305.6008. We obtain the duality of results for the sub- and super-hedging prices. For the sub…

2013-09-11abs ↗pdf ↗

We investigate the links between various no-arbitrage conditions and the existence of pricing functionals in general markets, and prove the Fundamental Theorem of Asset Pricing therein. No-arbitrage conditions, either in this abstract setting or in the case of a market consisting of European Call options, give rise to …

2018-06-09abs ↗pdf ↗

This paper shows how to hedge financial risks with integer investments.

problem Evaluating the minimal super-hedging price with integer-valued strategies for arbitrary payoffs.
method Formulated a dynamic programming principle to evaluate the minimal super-hedging price with integer-valued strategies for continuous piecewise affine terminal claims.
result It is possible to evaluate the minimal super-hedging price with integer-valued strategies for discrete-time, arbitrary Ω.

Explicit robust hedging strategies for convex or concave payoffs under a continuous semimartingale model with uncertainty and small transaction costs are constructed. In an asymptotic sense, the upper and lower bounds of the cumulative volatility enable us to super-hedge convex and concave payoffs respectively. The ide…

2011-03-10abs ↗pdf ↗

We consider the pricing and hedging of exotic options in a model-independent set-up using \emph{shortfall risk and quantiles}. We assume that the marginal distributions at certain times are given. This is tantamount to calibrating the model to call options with discrete set of maturities but a continuum of strikes. In …

2013-07-09abs ↗pdf ↗

Study bounds financial path expectations using martingale distributions.

problem Bounding path-dependent financial expectations over martingale distributions.
method Relaxed martingale optimal transport problem, approximated via linear programming.
result Empirical relaxation can be approximated within O(n^(-1/2)) error.

We consider a financial model with permanent price impact. Continuous time trading dynamics are derived as the limit of discrete rebalancing policies. We then study the problem of super-hedging a European option. Our main result is the derivation of a quasi-linear pricing equation. It holds in the sense of viscosity so…

2015-03-18abs ↗pdf ↗

Set-valued risk measures on LdpL^p_d with 0p0 \leq p \leq \infty for conical market models are defined, primal and dual representation results are given. The collection of initial endowments which allow to super-hedge a multivariate claim are shown to form the values of a set-valued sublinear (coherent) risk measure. Sc…

2010-11-27abs ↗pdf ↗

In the recent paper \cite{DESZ}, the notion of Yg,ξ\mathscr{Y}^{g,ξ}-submartingale processes has been introduced. Within a jump-diffusion model, we prove here that a process XX which satisfies the simultaneous YQ,g,ξ\mathscr{Y}^{\mathbb{Q},g,ξ} -submartingale property under a suitable family of equivalent probability measur…

2019-01-08abs ↗pdf ↗

For several decades, the no-arbitrage (NA) condition and the martingale measures have played a major role in the financial asset's pricing theory. We propose a new approach for estimating the super-replication cost based on convex duality instead of martingale measures duality: Our prices will be expressed using Fenche…

2018-07-12abs ↗pdf ↗

Develops a new essential supremum concept for financial models.

problem Uncertainty in financial models with non-dominated, non-compact probability measures.
method Introduces quasi-sure essential supremum for real-valued functions and proves its properties.
result Bi-dual characterization of super-hedging cost and new results on aggregation of quasi-sure statements.

In this article we propose a study of market models starting from a set of axioms, as one does in the case of risk measures. We define a market model simply as a mapping from the set of adapted strategies to the set of random variables describing the outcome of trading. We do not make any concavity assumptions. The fir…

2015-12-06abs ↗pdf ↗

In this paper, we study a new type of BSDE, where the distribution of the Y-component of the solution is required to satisfy an additional constraint, written in terms of the expectation of a loss function. This constraint is imposed at any deterministic time t and is typically weaker than the classical pointwise one a…

2016-05-20abs ↗pdf ↗

New financial model revises risk measure under NA condition.

problem Revising classical financial mathematics with coherent risk measure on L0L^0.
method Developed a new version of the fundamental theorem of asset pricing and provided dual representations.
result Set of risk-hedging prices is closed under NA condition.

We study the situation of an agent who can trade on a financial market and can also transform some assets into others by means of a production system, in order to price and hedge derivatives on produced goods. This framework is motivated by the case of an electricity producer who wants to hedge a position on the electr…

2011-12-20abs ↗pdf ↗

Robust, or model-independent properties of the variance swap are well-known, and date back to Dupire and Neuberger, who showed that, given the price of co-terminal call options, the price of a variance swap was exactly specified under the assumption that the price process is continuous. In Cox and Wang we showed that a…

2013-08-20abs ↗pdf ↗

Since most of the traded options on individual stocks is of American type it is of interest to generalize the results obtained in semi-static trading to the case when one is allowed to statically trade American options. However, this problem has proved to be elusive so far because of the asymmetric nature of the positi…

2016-05-04abs ↗pdf ↗

We study pricing and superhedging strategies for game options in an imperfect market with default. We extend the results obtained by Kifer in \cite{Kifer} in the case of a perfect market model to the case of an imperfect market with default, when the imperfections are taken into account via the nonlinearity of the weal…

2015-11-29abs ↗pdf ↗

We consider a stochastic control problem for a class of nonlinear kernels. More precisely, our problem of interest consists in the optimisation, over a set of possibly non-dominated probability measures, of solutions of backward stochastic differential equations (BSDEs). Since BSDEs are nonlinear generalisations of the…

2015-10-28abs ↗pdf ↗

Study compares model-free valuation to actual financial outcomes, finds it slightly conservative.

problem Evaluating the quality of model-free valuation approaches for financial derivatives.
method Empirical analysis using historical option prices from S&P 500 constituents.
result Model-free valuation approaches are only marginally more conservative than industry-standard models.

We study pricing and (super)hedging for American options in an imperfect market model with default, where the imperfections are taken into account via the nonlinearity of the wealth dynamics. The payoff is given by an RCLL adapted process (ξt)(ξ_t). We define the {\em seller's superhedging price} of the American option a…

2017-08-29abs ↗pdf ↗

Characterizes continuity of monotone functionals in mixed topology.

problem Continuity of monotone functionals in mixed topology.
method Characterization through lower semicontinuity and dual representations.
result Continuity in mixed topology is equivalent to dual representation in terms of countably additive measures.

Model uncertainty is a type of inevitable financial risk. Mistakes on the choice of pricing model may cause great financial losses. In this paper we investigate financial markets with mean-volatility uncertainty. Models for stock markets and option markets with uncertain prior distribution are established by Peng's G-s…

2014-07-30abs ↗pdf ↗

This paper extends the Black-Scholes-Merton model to more complex market scenarios.

problem Extending the Black-Scholes-Merton model to more complex market scenarios.
method Develops a new approach using Martingale Optimal Transport to replicate financial derivatives under extreme market models given marginals.
result Demonstrates the existence of a portfolio that replicates the payoff of a path-dependent derivative security under various market models.