monte-carlo-call-option-pricing

A Python module to price a Euroepan call option at t=0 by Monte Carlo simulation, which is benchmarked against Black Schoels formula.

FEATURES

• Simulates stock prices following a geometric Brownian motion
• Calculates payoffs at t=T and averages the paths
• Discounts the resut to t=0

INSTALLATION

1. Clone the repository:
   git clone https://github.com/hb84ffm/monte-carlo-call-option-pricing.git
   cd monte-carlo-call-option-pricing
   

2. Create & activate your virtual environment:
   python3 -m venv venv
   source venv/bin/activate # On Mac/Linux
   venv\Scripts\activate # On Windows

3. Install dependencies:
   pip install -r requirements.txt

USAGE

1. Instantiate class CallPriceEU with attributes
   CallPriceEU(S0=start_stock_price, K=strike, r=rate, sigma=volatility, T=timeframe, samples=nr_of_iterations)
   
2. Apply method run() afterwards, which orchestrates the simulation and plotting of the two bar charts
   

EXAMPLE WORKFLOW

See provided Jupyter notebook example for explanation.

AUTHOR

For questions or feedback reach out to me via: GitHub.