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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.

169,341 papers · 148 categories

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48 results for pricing claims

A pricing principle is introduced for non-attainable claims in incomplete markets.

problem Pricing non-attainable contingent claims in incomplete markets.
method Distorted Radon-Nikodym derivative and Tsallis relative entropy over a family of equivalent martingale measures.
result The pricing principle is closely related to backward stochastic differential equations and is arbitrage-free and time-consistent.

Researchers develop a pricing method for contingent claims under partial information and short selling constraints.

problem Pricing contingent claims with partial information and short selling restrictions.
method Derive a dual problem using conjugate duality theory and conditions for strong duality.
result Characterization of contingent claim prices involving martingale and super-martingale conditions.

We approximate prices of various financial claims using a combination of expansions.

problem Approximating prices of financial claims in a complex volatility setting.
method Combining Taylor series expansions of diffusion coefficients with an expansion in correlation parameter.
result Rigorous accuracy results for European-style claims, and numerical examples for barrier-style claims.

The paper defines and implements risk-indifference pricing for American-style contingent claims.

problem Pricing American-style contingent claims under uncertainty.
method Indifference pricing using convex risk measures and stochastic volatility models, with numerical solutions via deep learning.
result Characterization of indifference prices via Backward Stochastic Differential Equations (BSDEs).

Approximations to utility indifference prices are provided for a contingent claim in the large position size limit. Results are valid for general utility functions on the real line and semi-martingale models. It is shown that as the position size approaches infinity, the utility function's decay rate for large negative…

2012-02-17abs ↗pdf ↗

In this paper, we study the pricing of contingent claims under G-expectation. In order to accomodate volatility uncertainty, the price of the risky security is supposed to governed by a general linear stochastic differential equation (SDE) driven by G-Brownian motion. Utilizing the recently developed results of Backwar…

2013-03-18abs ↗pdf ↗

Study upper hedging prices for contingent claims in models with various types of arbitrage.

problem Valuation of contingent claims in market models with different types of arbitrage.
method Analysis of market models with increasing profit, strong arbitrage, and arbitrage of the first kind.
result Option prices are reduced when increasing profit is present, and corporate stock price processes can be derived from issuance and repurchase plans.

The paper addresses pricing contingent claims by accounting for model uncertainty.

problem Pricing contingent claims under model uncertainty.
method Defines a confidence set of possible models, uses multi-stage stochastic optimization under model uncertainty, and derives distributionally robust solutions.
result Derives bid and ask prices under model ambiguity and relates them to data quality.

The paper extends ERP framework to non-monotonic payoffs and short selling bans.

problem Valuation of contingent claims with short selling bans under ERP framework.
method Unified framework for ERP pricing, extending to non-monotonic payoffs, and comparing with Black-Scholes.
result Equal-risk prices differ from Black-Scholes prices under short selling bans.

In an incomplete Brownian-motion market setting, we propose a convex monotonic pricing functional for nonattainable bounded contingent claims which is compatible with prices for attainable claims. The pricing functional is defined as the convex conjugate of a generalized entropy penalty functional and an interpretation…

2008-04-01abs ↗pdf ↗

We show how to price and replicate a variety of barrier-style claims written on the log\log price XX and quadratic variation X\langle X \rangle of a risky asset. Our framework assumes no arbitrage, frictionless markets and zero interest rates. We model the risky asset as a strictly positive continuous semimartingale w…

2015-08-04abs ↗pdf ↗

Neural networks improve pricing and hedging of complex financial claims.

problem Pricing and hedging of high-dimensional, path-dependent contingent claims.
method Regress later Monte Carlo approach using neural networks for interpretability.
result Any contingent claim can be semi-statically hedged using a portfolio of short maturity options.

Study optimizes investment and claim valuation with transaction costs and disutility.

problem Optimizing contingent claim valuation with transaction costs and disutility.
method Dual representation and dynamic procedure for solving disutility minimization problem, leading to efficient numerical procedures.
result Efficient and convergent numerical procedures for indifference pricing, optimal trading strategies, and shadow prices.

The paper extends portfolio theory to include contingent claim functions for option pricing.

problem Developing a method to price options using portfolio generating functions.
method Extending portfolio theory to include contingent claim functions and applying partial differential equations.
result A method to price options using portfolio generating functions and replicable contingent claim functions.

This paper deals with the super-replication of non path-dependent European claims under additional convex constraints on the number of shares held in the portfolio. The corresponding super-replication price of a given claim has been widely studied in the literature and its terminal value, which dominates the claim of i…

2013-07-23abs ↗pdf ↗

We shall provide in this paper good deal pricing bounds for contingent claims induced by the shortfall risk with some loss function. Assumptions we impose on loss functions and contingent claims are very mild. We prove that the upper and lower bounds of good deal pricing bounds are expressed by convex risk measures on …

2008-02-28abs ↗pdf ↗

Paper studies pricing and hedging of nonreplicable insurance contracts using benchmark-neutral approach.

problem Pricing and hedging of long-term insurance contracts like variable annuities.
method Benchmark-neutral pricing framework using stock growth optimal portfolio as numéraire.
result Prices can be significantly lower than risk-neutral ones, offering attractive long-term risk-management.

In this paper we study dynamic pricing mechanism of contingent claims. A typical model of such pricing mechanism is the so-called g-expectation Es,tg[X]E^g_{s,t}[X] defined by the solution of the backward stochastic differential equation with generator g and with the contingent claim X as terminal condition. The generating f…

2012-11-28abs ↗pdf ↗

The paper develops a comprehensive valuation method for OTC claims that considers credit and funding risks.

problem Valuation of Over-The-Counter (OTC) claims that incorporate credit and funding liquidity risks.
method Develops a holistic approach using nonlinear mathematical models (semilinear PDEs and FBSDEs) and provides an analytical solution for the benchmark claim.
result An analytical solution for the benchmark claim is derived and expressed in terms of the Black-Scholes formula with dividends.

Bayesian CART models improve insurance claims frequency prediction and interpretation.

problem Improving accuracy and interpretability in insurance pricing models.
method Introducing Bayesian CART models for claims frequency, implementing MCMC algorithm for posterior tree exploration, and using DIC for model selection.
result Bayesian CART models can better classify policy-holders into risk groups.

Study BSDEs with default jump, proving properties and pricing claims.

problem Properties and pricing of BSDEs with default jumps.
method Properties and comparison theorems for BSDEs driven by Brownian motion and martingale measure with default jump.
result Representation of BSDE solutions involving conditional expectation and adjoint exponential semi-martingale.

In an incomplete market the price of a claim f in general cannot be uniquely identified by no arbitrage arguments. However, the ``classical'' super replication price is a sensible indicator of the (maximum selling) value of the claim. When f satisfies certain pointwise conditions (e.g., f is bounded from below), the su…

2005-03-24abs ↗pdf ↗

The paper evaluates contingent claim prices using trajectory-based models without probabilistic assumptions.

problem Evaluating contingent claim prices in markets without probabilistic or topological assumptions.
method Develops a backward recursive method and dynamic programming to evaluate minmax bounds.
result Defines a global minmax optimization problem as a local one, reducing complexity.

Improved disability insurance model with collective health claims.

problem Enhance disability insurance model with collective health claims.
method Expand classic semi-Markov model with collective health claims, solve many-body problem using mean-field approach.
result Mean-field approach simplifies complex model into a transparent pricing method.

We consider a general local-stochastic volatility model and an investor with exponential utility. For a European-style contingent claim, whose payoff may depend on either a traded or non-traded asset, we derive an explicit approximation for both the buyer's and seller's indifference price. For European calls on a trade…

2014-12-17abs ↗pdf ↗

We study hedging and pricing of unattainable contingent claims in a non-Markovian regime-switching financial model. Our financial market consists of a bank account and a risky asset whose dynamics are driven by a Brownian motion and a multivariate counting process with stochastic intensities. The interest rate, drift, …

2013-03-17abs ↗pdf ↗

Adaptive pricing models for insurance using GLMs and GP regression.

problem Optimizing revenue from new insurance products.
method Developed two adaptive pricing models: GLM and Gaussian Process (GP) regression.
result The adaptive GLM and GP models reduce revenue loss compared to static pricing.

The paper prices and replicates various financial contracts on a risky asset with stochastic volatility and jumps.

problem Pricing and replicating financial contracts on assets with stochastic volatility and jumps.
method Develops pricing and hedging formulas for various financial contracts, independent of the volatility process dynamics.
result Pricing and hedging formulas for financial contracts are derived without dependence on the volatility process dynamics.

Optimizes insurance pricing to minimize ruin probability under various claim dependencies.

problem Determining optimal insurance premiums in the presence of dependencies between claim occurrences.
method Analyzes both independent and dependent claim processes, considering single and multiple risks.
result Optimal insurance premiums depend on initial reserve and claim dependencies.