Monte Carlo Simulation with Python
<h2>Monte Carlo simulation</h2>
<p>Monte Carlo simulation samples from either known or assumed probability distributions. The choices of the probability distributions rely on domain knowledge.</p>
<p>Use cases</p>
<ul>
<li>Simulate potential stock prices to help users understand whether their portfolio will be enough to provide the level of living they want after retirement.</li>
</ul>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:375/0*ZHkPYTIhUH0d6b0a.png" style="height:248px; width:375px" /></p>
<p>Simulating stock prices. Source: <a href="https://www.interviewqs.com/blog/intro-monte-carlo" rel="noopener ugc nofollow" target="_blank">https://www.interviewqs.com/blog/intro-monte-carlo</a></p>
<ul>
<li>Simulate potential financial losses a bank is willing to stomach so that they can better manage the risks.</li>
</ul>
<p><a href="https://medium.com/@whystudying/monte-carlo-simulation-with-python-13e09731d500"><strong>Learn More</strong></a></p>