Skip to content

Eliott67/barrier-options-pricing

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 

Repository files navigation

Stochastic Calculus & Barrier Options: A Black-Scholes Extension

Format Status

Overview

This project builds upon the foundational Black-Scholes model to explore the valuation of complex, path-dependent derivatives, specifically Barrier Options (Up-and-Out, Down-and-Out).

It bridges the gap between pure probability theory and financial engineering, establishing the duality between two quantitative approaches:

  1. Stochastic Calculus: Leveraging the Strong Markov Property, Girsanov's Theorem, and the Reflection Principle to determine the joint distribution of Brownian motion and its running maximum.
  2. Partial Differential Equations (PDEs): Using the Feynman-Kac theorem to derive the pricing equations and specific boundary conditions for knock-out events.

Key Concepts Explored

  • The Reflection Principle: Mathematical determination of stopping times and the law of the maximum for standard and drifted Brownian motions.
  • Risk-Neutral Valuation: Closed-form analytical pricing formulas for Up-and-Out (UAO) and Down-and-Out (DAO) call options.
  • Model Limitations: Critical analysis of the constant volatility assumption (volatility smile), discrete price jumps, and Delta-hedging challenges near the barrier (Pin Risk).
  • Real Market Application: Theoretical findings are confronted with real market dynamics using LVMH option data.

Visualizations

Asset Dynamics: Breaching the Barrier

barrier_option_simulation

Project Structure

├── PRI_Barrier_Options_Report.pdf  # Full mathematical and quantitative report 
└── README.md

## 👥 Authors

* **Eliott Oster**
* **Addi Raphaël**
* **Tirard Thomas**

---

*Developed as part of the GMM Department curriculum at INSA Toulouse.*

About

Extension of the Black-Scholes framework to path-dependent derivatives (Barrier Options) using stochastic calculus, the reflection principle, and PDE replication.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors