Menu

Post image 1
Post image 2
1 / 2
0

Volatility Risk Premium in 30 Lines of Python (And the 5 Mistakes That Wreck It)

DEV Community·tomasz dobrowolski·22 days ago
#l2updlBR
#python#finance#quant#fullscreen#close#symbol
Reading 0:00
15s threshold

The volatility risk premium (VRP) is the gap between what the options market prices in and what the underlying actually delivers. The formula fits in one line. The interesting part is in the inputs, the unit conversions, and a handful of mistakes that produce a plausible-looking but wrong number. This post walks through the math, a worked SPY example, a self-contained Python implementation in 30 lines, and the five pitfalls I see in almost every homemade implementation. TL;DR VRP = sigma_IV - sigma_RV # vol units VRP_var = sigma_IV ** 2 - sigma_RV ** 2 # variance units Enter fullscreen mode Exit fullscreen mode Where: sigma_IV is annualized implied vol (typically 30-day ATM IV) sigma_RV is annualized realized vol over a matched window If 30-day ATM IV is 18% and 30-day realized vol is 12%, VRP is +6 vol points. Positive on ~70 to 75% of trading days across major US equity indices over the last 30 years. That spread is the structural edge premium sellers harvest. The formula is the easy part. Keep reading.…

Continue reading — create a free account

Join HashtagPLUS to read full articles, follow hashtags, vote, and join the conversation.

Read More