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Quantum computational finance for martingale asset pricing in incomplete markets [PDF]

open access: yesScientific Reports
A derivative is a financial asset whose future payoff is a function of underlying assets. Pricing a financial derivative involves setting up a market model, finding a martingale (“fair game”) probability measure for the model from the existing asset ...
Patrick Rebentrost   +4 more
doaj   +2 more sources

A Threshold for Quantum Advantage in Derivative Pricing [PDF]

open access: yesQuantum, 2021
We give an upper bound on the resources required for valuable quantum advantage in pricing derivatives. To do so, we give the first complete resource estimates for useful quantum derivative pricing, using autocallable and Target Accrual Redemption ...
Shouvanik Chakrabarti   +5 more
doaj   +1 more source

Pricing Multi-Asset Derivatives by Finite-Difference Method on a Quantum Computer

open access: yesIEEE Transactions on Quantum Engineering, 2022
Following the recent great advance of quantum computing technology, there are growing interests in its applications to industries, including finance.
Koichi Miyamoto, Kenji Kubo
doaj   +1 more source

An Asymptotic Solution for Call Options on Zero-Coupon Bonds

open access: yesMathematics, 2021
We present an asymptotic solution for call options on zero-coupon bonds, assuming a stochastic process for the price of the bond, rather than for interest rates in general.
Michael J. Tomas, Jun Yu
doaj   +1 more source

Pricing Weather Derivatives [PDF]

open access: yesAmerican Journal of Agricultural Economics, 2004
This paper presents a general method for pricing weather derivatives. Specification tests find that a temperature series for Fresno, California follows a mean-reverting Brownian motion process with discrete jumps and ARCH errors. Based on this process, we define an equilibrium pricing model for cooling degree day weather options.
Richards, Timothy J.   +5 more
openaire   +4 more sources

Pricing Energy Derivatives in Markets Driven by Tempered Stable and CGMY Processes of Ornstein–Uhlenbeck Type

open access: yesRisks, 2022
In this study, we consider the pricing of energy derivatives when the evolution of spot prices follows a tempered stable or a CGMY-driven Ornstein–Uhlenbeck process.
Piergiacomo Sabino
doaj   +1 more source

PRICING PRECIPITATION BASED DERIVATIVES [PDF]

open access: yesInternational Journal of Theoretical and Applied Finance, 2005
We consider the problem of pricing a derivative contract written on precipitation at a specific location during a given period of time. We propose a jump Markov process model for the stochastic dynamics of the underlying precipitation. Our model is based on pulse Poisson process models widely used in hydrology.
RENÉ CARMONA, PAVEL DIKO
openaire   +3 more sources

Pricing Path-Independent Payoffs with Exotic Features in the Fractional Diffusion Model

open access: yesFractal and Fractional, 2020
We provide several practical formulas for pricing path-independent exotic instruments (log options and log contracts, digital options, gap options, power options with or without capped payoffs …) in the context of the fractional diffusion model.
Jean-Philippe Aguilar
doaj   +1 more source

An Optimal Adaptive Control Strategy for Energy Balancing in Smart Microgrid Using Dynamic Pricing

open access: yesIEEE Access, 2022
Energy balancing in smart microgrid plays a vital role to improve the reliability and resolves the load shedding problem to ensure consistent energy supply.
Fahad R. Albogamy   +7 more
doaj   +1 more source

Pricing Multiasset Derivatives by Variational Quantum Algorithms

open access: yesIEEE Transactions on Quantum Engineering, 2023
Pricing a multiasset derivative is an important problem in financial engineering, both theoretically and practically. Although it is suitable to numerically solve partial differential equations to calculate the prices of certain types of derivatives, the
Kenji Kubo   +3 more
doaj   +1 more source

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