Results 21 to 30 of about 5,214 (240)

Option pricing of geometric Asian options in a subdiffusive Brownian motion regime

open access: yesAIMS Mathematics, 2020
In this paper, pricing problem of the geometric Asian option in a subdiffusive Brownian motion regime is discussed. The subdiffusive property is manifested by the random periods of time, during which the asset price does not change.
Zhidong Guo   +2 more
doaj   +1 more source

Unraveling trajectories of diffusive particles on networks

open access: yesPhysical Review Research, 2022
The analysis of single-particle trajectories plays an important role in elucidating dynamics within complex environments such as those found in living cells.
Yunhao Sun   +5 more
doaj   +1 more source

Pricing Multidimensional American Options

open access: yesInternational Journal of Financial Studies, 2023
A new explicit form is provided for the solution of optimal stopping problems involving a multidimensional geometric Brownian motion. A free-boundary value approach is adopted and the value function is obtained via fundamental solution methods. There are
Elettra Agliardi, Rossella Agliardi
doaj   +1 more source

Which is the right option for Indian market: Gaussian, normal inverse Gaussian, or Tsallis?

open access: yesIIMB Management Review, 2019
This paper models Nifty spot prices using frameworks based on Gaussian distribution (geometric Brownian motion) and non-Gaussian distributions, viz. normal inverse Gaussian (NIG), and Tsallis distributions, to investigate which model best captures the ...
Prasenjit Chakrabarti   +1 more
doaj   +1 more source

Option Pricing Based on Modified Advection-Dispersion Equation: Stochastic Representation and Applications

open access: yesDiscrete Dynamics in Nature and Society, 2020
In this paper, we first investigate the stochastic representation of the modified advection-dispersion equation, which is proved to be a subordinated stochastic process.
Longjin Lv, Luna Wang
doaj   +1 more source

Asian Option Pricing with Monotonous Transaction Costs under Fractional Brownian Motion

open access: yesJournal of Applied Mathematics, 2013
Geometric-average Asian option pricing model with monotonous transaction cost rate under fractional Brownian motion was established. The method of partial differential equations was used to solve this model and the analytical expressions of the Asian ...
Di Pan   +3 more
doaj   +1 more source

Pricing European Vulnerable Options with Jumps and Stochastic Default Obstacles Barrier under Regime Switching

open access: yesMathematics, 2023
In this paper, we propose an enhanced model for pricing vulnerable options. Specifically, our model assumes that parameters such as interest rates, jump intensity, and asset value volatility are governed by an observable continuous-time finite-state ...
Xiangdong Liu, Zanbin Zhang
doaj   +1 more source

A discrete-time model that weakly converges to a continuous-time geometric Brownian motion with Markov switching drift rate

open access: yesFrontiers in Applied Mathematics and Statistics
This research is devoted to studying a geometric Brownian motion with drift switching driven by a 2 × 2 Markov chain. A discrete-time multiplicative approximation scheme was developed, and its convergence in Skorokhod topology to the continuous-time ...
Vitaliy Golomoziy   +2 more
doaj   +1 more source

(Nb,Ti)(C,N)‐Precipitates in High‐Strength Low‐Alloyed Steels—Modeling, Characterization and Validation

open access: yesAdvanced Engineering Materials, EarlyView.
Steel samples are investigated using complementary simulations and measurements. Transmission electron microscopy in bright‐field mode, combined with energy‐dispersive X‐ray spectroscopy maps for titanium and niobium, reveals distinct particle populations. Simulations reproduce these in size and composition.
Marc Laub   +3 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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