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Financial Derivatives: A Quantitative Finance View

Learn financial engineering with Python! Master forwards, futures, swaps & options. Practical tools for fixed income & options analysis.

4.6(3,251)
24,609students
26h 57m
Certificate
Cameron Connell
Cameron ConnellMathematician, Statistician, and Quantitative Financier

Course Content

Financial Derivatives: A Quantitative Finance View is an all-levels Udemy course taught by Cameron Connell. It runs 26h 57m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 3,251 reviews, with 24,609 students enrolled. It is a paid course, last updated November 2023.

Unlock a Career in Quantitative Finance: Master Derivatives & Financial Engineering

Transform your career with this comprehensive course designed to equip you with the essential knowledge for a lucrative and rewarding position in quantitative finance. Whether you're a quantitative professional in finance, data science, technology, or engineering, this course provides the gateway to becoming a full-fledged quant.

What You'll Learn:

  • Derivatives Fundamentals: Gain a deep understanding of forwards, futures, swaps, and options – the core building blocks of modern financial markets.
  • Risk Management: Develop practical risk management principles and learn how to implement effective futures hedging strategies.
  • Financial Modeling: Master portfolio modeling, long and short positions, and the principle of arbitrage.
  • Asset Pricing: Explore interest rate fundamentals, discounted cash flow analysis, bond analysis, and the dynamics of equity, currency, and commodity assets.
  • Advanced Concepts: Dive into stochastic processes, time series concepts, volatility clustering, autocorrelation, fat-tailed distributions, and Brownian motion.
  • Option Pricing: Understand put-call parity, the binomial model of option pricing, and the iconic Black-Scholes theory and formula.
  • Option Greeks: Master delta, gamma, and vega for dynamic hedging and volatility trading.
  • Python for Finance: Utilize Python tools for computations with bonds, yield curves, and options. All software is released under a permissive MIT license for use in your future projects.

Why Choose This Course?

  • Real-World Focus: Taught by a mathematician and financial quant with a Ph.D. from NYU's Courant Institute and Wall Street experience.
  • Practical Skills: Focuses on the skills needed by quantitative analysts working in investment banks, hedge funds, and financial companies.
  • Accessible Learning: Even if new to finance, this course provides a deep understanding of challenging financial products. A strong quantitative background (statistics, calculus) is beneficial, but high school math is sufficient for most of the material.
  • Conceptual Framework: Learn the conceptual framework that helped navigate the volatile financial markets during the 2008 crisis.
  • Comprehensive Content: 23 hours of lectures, 10 problem sets with solutions – equivalent to a full semester of college coursework.
  • Money-Back Guarantee: Enroll with confidence with a 30-day money-back guarantee.

Student Testimonials:

  • "This course offers unreal value! Very rich content. This beats any financial course I've taken at my university." - Steven Cameron
  • "Cameron is an outstanding teacher. Thank you for making complex Finance concepts easy to understand. Looking forward to further courses." - Gevorg
  • "I got (am getting) some intuition about quant finance, not just learning facts without understanding the concepts. Cameron gives nice detailed answers to student questions." - Rich

Ready to accelerate your finance career?

Sign up now and start your journey to becoming a quantitative finance expert!

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