Value at Risk Explained in 5 Minutes

Python for Investing: Finance Course

Ryan O'Connell, CFA, FRM explains Value at Risk (VaR) in 5 minutes. He explains how VaR can be calculated using mean and standard deviation. This explanation will be useful for CFA and FRM Candidates. He also explains the following three approaches to calculating Value at Risk (VaR). Chapters: 0:00 VaR Definition 0:32 VaR Calculation Example 3:00 The Parametric Method (Variance Covariance Method), The Historical Method, and The Monte Carlo Method 📘 FRM Exam Prep Discount - AnalystPrep: ► Get 20% off FRM Part 1 and Part 2 complete courses with promo code "RYAN20". Explore here: analystprep.com/shop/frm-part-1-and-part-2-complete-course-by-analystprep/?ref=mgmymmr 📚 CFA Exam Prep Discount - AnalystPrep: ► Get 20% off CFA Level 1, 2, and 3 complete courses with promo code "RYAN20". Explore here: analystprep.com/shop/all-3-levels-of-the-cfa-exam-complete-course-by-analystprep/?ref=mgmymmr 🎓 Tutor With Me: 1-On-1 Video Call Sessions Available ► Join me for personalized finance tutoring tailored to your goals: ryanoconnellfinance.com/finance-tutoring/ *Disclosure: This is not financial advice and should not be taken as such. The information contained in this video is an opinion. Some of the information could be wrong. This channel is owned and operated by Portfolio Constructs LLC. Some of the links above are affiliate links, meaning, at no additional cost to you, I will earn a commission if you click through and make a purchase.

About the course

Embark on a journey through financial markets with 'Python for Investing: Finance Course,' expertly crafted by Ryan O'Connell, CFA, FRM. This course is designed to introduce you to the powerful world of Python in finance, starting from the basics for beginners and progressing to sophisticated investment strategies and analysis. Delve into practical applications like extracting free stock prices, optimizing portfolios, option pricing with the Black-Scholes model, and mastering various Value at Risk (VaR) methods using Python. Ideal for finance professionals, students, and anyone eager to leverage Python for data-driven investment decisions, this course offers a comprehensive toolkit to enhance your financial acumen in the digital age.