<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Quantitative Finance on RΞCURSION</title><link>https://www.carlvinjerry.com/tags/quantitative-finance/</link><description>Recent content in Quantitative Finance on RΞCURSION</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Tue, 16 Jun 2026 09:00:00 +0300</lastBuildDate><atom:link href="https://www.carlvinjerry.com/tags/quantitative-finance/index.xml" rel="self" type="application/rss+xml"/><item><title>The Mathematics of Allocating Risk Instead of Capital</title><link>https://www.carlvinjerry.com/posts/quantitative-finance/risk-parity-mathematics/</link><pubDate>Tue, 16 Jun 2026 09:00:00 +0300</pubDate><guid>https://www.carlvinjerry.com/posts/quantitative-finance/risk-parity-mathematics/</guid><description>This post explains risk parity through equal risk contribution, showing why capital weights can hide concentrated portfolio risk. We derive the core variance and risk contribution formulas, compare ERC with inverse-volatility weighting, and discuss covariance estimation, leverage, and regime risk.</description></item><item><title>Simple Moving Average Crossover Strategy in F#</title><link>https://www.carlvinjerry.com/posts/quantitative-finance/moving-averages/</link><pubDate>Wed, 02 Apr 2025 21:37:25 +0600</pubDate><guid>https://www.carlvinjerry.com/posts/quantitative-finance/moving-averages/</guid><description>This post builds a simple moving average crossover strategy in F#, explaining short and long windows, crossover signals, thresholds, and the structure of a testable trading pipeline.</description></item></channel></rss>