<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Actuarial Science Models on Actuarial Ninja</title><link>https://www.actuarialninja.com/tags/actuarial-science-models/</link><description>Recent content in Actuarial Science Models on Actuarial Ninja</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 18 Mar 2025 07:37:44 +0000</lastBuildDate><atom:link href="https://www.actuarialninja.com/tags/actuarial-science-models/index.xml" rel="self" type="application/rss+xml"/><item><title>Implementing Geometric Brownian Motion: A Practical Guide for SOA Exam C and CAS Exam 4 Candidates</title><link>https://www.actuarialninja.com/tutorials/implementing-geometric-brownian-motion-a-practical-guide-for-soa-exam-c-and-cas-exam-4-candidates/</link><pubDate>Tue, 18 Mar 2025 07:37:44 +0000</pubDate><guid>https://www.actuarialninja.com/tutorials/implementing-geometric-brownian-motion-a-practical-guide-for-soa-exam-c-and-cas-exam-4-candidates/</guid><description>&lt;p&gt;If you&amp;rsquo;re gearing up for the SOA Exam C or CAS Exam 4, you’ve probably encountered the concept of geometric Brownian motion (GBM). It’s a cornerstone model for asset prices and fundamental in many actuarial and financial applications. While the theory can seem intimidating at first, understanding how to implement GBM practically is crucial—not just for passing the exam but for applying these concepts confidently in real-world problems. Let me walk you through the essentials, share some practical tips, and give you examples that will make this concept stick.&lt;/p&gt;</description></item></channel></rss>