An Introduction to Quantitative Finance At its core, (or "Quant Finance") is the use of mathematical models and extremely large datasets to price assets and manage risk. While traditional fundamental analysis looks at a company’s management or product quality, quant finance looks at the patterns, probabilities, and physics of market behavior. 1. The Three Pillars
How your 401(k) or ETF automatically balances itself.
You don't just solve equations on paper; you code them. Python and C++ are the industry standards for building high-speed trading algorithms and simulations. An Introduction to Quantitative Finance
Value at Risk (VaR) is a statistical technique used to measure the level of financial risk within a firm or portfolio over a specific time frame.
The practice of taking advantage of a price difference between two or more markets. Quants write code to find these "free lunches" and execute trades in milliseconds. An Introduction to Quantitative Finance At its core,
Understanding how markets work—things like market microstructure, the "Greeks" (risk measures), and derivative pricing. 2. Core Concepts to Know
Options, Futures, and Other Derivatives by John C. Hull is the standard introductory textbook used by almost every university and bank. The Three Pillars How your 401(k) or ETF
Computers making thousands of trades per second.