Welcome to the course page for Stochastic Calculus and Mathematical Finance, taught by Prof. Sandeep Juneja at Ashoka University.
This repository hosts the official GitHub Pages site: stocalc.github.io.
This is a course for advanced undergraduate and graduate students with an aptitude and interest in quantitative methods.
Students will be exposed to no-arbitrage based deep and beautiful ideas underlying mathematical finance.
For this, they will gain adequate exposure to stochastic calculus, which is also highly relevant for the increasingly mainstream diffusion-based generative AI.
- Review of measure-theoretic probability
- Martingales and Brownian motion
- Stochastic calculus & Itô’s formula
- Girsanov’s theorem & stochastic differential equations
- Discrete and continuous-time pricing theory
- Stochastic volatility & interest rate models
- PDE methods in finance
- Applications to machine learning and generative AI
By the end of the course, students will:
- Develop a rigorous understanding of stochastic calculus
- Apply no-arbitrage pricing methods in financial markets
- Explore connections between finance and generative AI models
- Mode: Hybrid (in-person & online)
- Schedule: Tuesdays & Thursdays, 10:20 AM – 11:50 AM
- Start Date: August 26th
- Duration: ~40 hours of teaching
- Prerequisites: Probability, Linear Algebra, and Real Analysis
📌 Registration is free but required.
Prof. Sandeep Juneja is a renowned researcher in stochastic processes, mathematical finance, and applied probability. He has made significant contributions to the theory and practice of stochastic modeling in finance, climate, and Epidemiology.
This repo powers the GitHub Pages site for the course.
To run the site locally:
# Clone the repository
git clone https://github.com/your-username/stocalc.github.io.git
# Move into the folder
cd stocalc.github.io
# Open index.html in your browser
This github webpage is maintained by Aman K. Foujdar. You can email me at aman.foujdar_ug2023@ashoka.edu.in for queries or reporting any issues you're facing.