I am looking to estimate the potential for failure in a complex system using Monte Carlo simulation. I am quite familiar with using MC for engineering simulations, but have never approached the ...

Monte Carlo simulations have become a cornerstone in quantitative finance, particularly in the pricing of complex options and in modelling volatility dynamics. This numerical method employs random ...

Particle physicists are building innovative machine-learning algorithms to enhance Monte Carlo simulations with the power of AI. Originally developed nearly a century ago by physicists studying ...

Monte Carlo Simulations are a modeling tool used to simulate reality and calculate probabilities of a portfolio supporting a certain withdrawal rate. With the market collapse of 2008, however, many ...

This will likely come as a surprise, but the way engineers perform Monte Carlo analysis and assess the results, is likely incorrect. Misinterpreting Monte Carlo results can lead to the wrong technical ...

A recent report, “Risky Business: The Economic Risks of Climate Change in the United States,” co-chaired by Michael R. Bloomberg, Henry Paulson and Tom Steyer, suggests that “by 2050 between $66 ...

In this special guest feature, Vladimir Kuchkanov, Pricing Solution Architect at Competera, examines how data scientists often forget about classics while good old algorithms are still relevant and ...

You can’t predict the future, of course, but that doesn’t stop some financial professionals from trying. Of the many methods devised to anticipate different possible futures in financial planning, ...