Finance

This section compiles my notes, research, and insights gained from studying finance, investment, and related disciplines. The content spans fundamental financial theories, risk management, investment strategies, and computational finance.

Current Topics

MIT 15.401 - Finance Theory I

A structured breakdown of finance fundamentals, covering:

1. Present Value (PV) Relations – Understanding time value of money and discounting cash flows.
2. Fixed-Income Securities – Analyzing bonds, yield curves, and interest rate mechanics.
3. Equities – Valuation methods, stock pricing models, and market dynamics.
4. Forward and Futures Contracts – Exploring derivative markets and hedging strategies.
5. Options – Basics of options pricing and strategies.
6. Risk and Return – Portfolio diversification and risk assessment.
7. Portfolio Theory – Modern portfolio theory and asset allocation.
8. The CAPM and APT – Capital Asset Pricing Model and Arbitrage Pricing Theory.
9. Capital Budgeting – Decision-making frameworks for investment projects.
10. Efficient Markets – Efficient Market Hypothesis and its implications.

Risk Calculation

A dedicated section for understanding and implementing various risk measurement techniques, such as Value at Risk (VaR), stress testing, and probabilistic modeling.

Future Expansion

In addition to traditional finance, this documentation will evolve to explore:

• Quantitative Finance & Machine Learning – Utilizing IT and AI for financial modeling.
• Algorithmic Trading – Implementing trading strategies using programming and data analysis.
• Blockchain & Cryptocurrencies – Studying the impact of decentralized finance (DeFi).
• Financial Data Science – Leveraging big data for investment insights.

This documentation will serve as a knowledge base for both theoretical and practical applications, bridging finance with IT and research methodologies.