Paper: arXiv 2407.09321
Authors: Zaniar Ahmadi, Xiaowen Zhou
Abstract
For refracted skew Brownian motion (skew Brownian motion with two-valued drift), adopting a perturbation approach we find expressions of its potential densities. As applications, we recover its transition density and study its long-time asymptotic behaviors. In addition, we also compare with previous results on transition densities for skew Brownian motions. We propose two approaches for generating quasi-random samples by approximating the cumulative distribution function and discuss their risk measurement application.
Complexity vs Empirical Score
- Math Complexity: 8.5/10
- Empirical Rigor: 3.0/10
- Quadrant: Lab Rats — theoretically deep, empirically untested
Why this score: The paper provides rigorous mathematical derivations for the potential measure and transition densities of Refracted Skew Brownian Motion using a perturbation approach. However, its empirical rigor is low as it focuses almost entirely on theoretical probability theory with only conceptual applications to risk measurement.
Research Flowchart
flowchart TD
A[Research Goal: Derive Potential Densities & Applications for Refracted Skew Brownian Motion] --> B[Methodology: Perturbation Approach]
B --> C[Compute Potential Densities & Recover Transition Density]
C --> D[Study Long-time Asymptotic Behaviors & Compare with Existing Models]
C --> E[Generate Quasi-Random Samples via CDF Approximation]
E --> F[Outcome: Application to Cross-Asset Quantitative Risk Measurement]
Cited References (38)
- De Finetti’s Control for Refracted Skew Brownian Motion (2024) — link
- Distributions of Functionals of a Skew Brownian motion with Discontinuous Drift (2023)
- A first course in stochastic processes (2014)
- Occupation and local times for skew Brownian motion with applications to dispersion across an interface (2011)
- Trivariate density of Brownian motion, its local and occupation times, with application to stochastic control (1984)
- Skew Brownian motion with dry friction: Joint density approach (2022)
- Diffusion processes and their sample paths (2012)
- A diffusion with a discontinuous local time (1978)
and 30 more
- One-Dimensional Stochastic Equations Involving the Local Times of the Unknown Process (1984)
- On the constructions of the skew Brownian motion (2006)
- Temps locaux et equations differentielles stochastiques (1982)
- Density of skew Brownian motion and its functionals with application in finance (2017)
- On skew Brownian motion (1981)
- Multi-skewed Brownian motion and diffusion in layered media (2011)
- Skew Brownian motion and pricing European options (2007)
- A new closed-form formula for pricing European options under a skew Brownian motion (2018)
- Skew Ornstein–Uhlenbeck processes and their financial applications (2015)
- A simple trinomial lattice approach for the skew-extended CIR models (2017)
- A Markov chain approximation scheme for option pricing under skew diffusions (2021)
- Self exciting threshold interest rates models (2006)
- Modeling term structures of defaultable bonds (1999)
- A Markov model for the term structure of credit risk spreads (1997)
- Maximum likelihood estimator for skew Brownian motion: the convergence rate (2023)
- Bayesian estimation of the skew Ornstein-Uhlenbeck process (2022)
- Modeling volatility of disaster-affected populations: A non-homogeneous geometric-skew Brownian motion approach (2024)
- Diffusion processes on graphs: stochastic differential equations, large deviation principle (2000)
- Statistical estimation for reflected skew processes (2010)
- Skew Brownian motion with dry friction: The Pugachev-Sveshnikov approach (2017) — link
- Calculation of diffusive shock acceleration of charged particles by skew Brownian motion (2000)
- Optimal State Equation for the Control of a Diffusion with Two Distinct Dynamics (2024) — link
- The handbook of formulas and tables for signal processing (1998)
- Handbook of Brownian motion-facts and formulae (2015)
- A software package for sequential quadratic programming (1988)
- An empirical investigation to the “skew” phenomenon in stock index markets: evidence from the Nikkei 225 and others (2019)
- A Flow-Based Generative Model for Rare-Event Simulation (2023) — link
- Deep learning for sampling from arbitrary probability distributions (2018) — link
- Quasi-random sampling for multivariate distributions via generative neural networks (2021)
- Quadpack: a subroutine package for automatic integration (2012)
0 of 38 cited works are in the corpus; resolved via arXiv source bundles, Semantic Scholar and OpenAlex. Corpus-wide: 2518 linked papers.