<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Monte Carlo | Saeed Mohseni-Sehdeh</title><link>https://saeedmohseni.netlify.app/tags/monte-carlo/</link><atom:link href="https://saeedmohseni.netlify.app/tags/monte-carlo/index.xml" rel="self" type="application/rss+xml"/><description>Monte Carlo</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 01 Jun 2025 00:00:00 +0000</lastBuildDate><image><url>https://saeedmohseni.netlify.app/media/icon_hu7729264130191091259.png</url><title>Monte Carlo</title><link>https://saeedmohseni.netlify.app/tags/monte-carlo/</link></image><item><title>Dynamic Hedging of Options, Realized vs. Implied Volatility</title><link>https://saeedmohseni.netlify.app/project/dynamic-hedging-of-options-realized-vs.-implied-volatility/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://saeedmohseni.netlify.app/project/dynamic-hedging-of-options-realized-vs.-implied-volatility/</guid><description>&lt;p>A quantitative framework that treats a delta-hedged option as a bet on realized versus implied volatility, where a perfectly hedged long option&amp;rsquo;s P&amp;amp;L reduces to the gamma-weighted variance identity ½ Σ Γ S² (realized − implied). The project pairs a Black-Scholes-Merton pricing and Greeks engine (with a Newton-Raphson implied-vol solver) with a Monte-Carlo hedging lab that simulates thousands of GBM paths, validates the variance decomposition path-by-path, recovers the √Δt discrete-hedging error scaling law, and optimizes rebalancing against transaction costs. A real SPY call option trade is analyzed minute-by-minute, and an interactive Streamlit dashboard ties the modules together.&lt;/p></description></item></channel></rss>