Samuel Fernández Lorenzo

The Numbers That Don't Add Up Imagine someone spending $100,000 to set up a business that only generates $10,000 a year. Normally this would be a red flag that would make more than a few people rethink the business model. But this is, on a much more epic scale, what's happening right now in the AI sector. In 2025, global investment in AI infrastructure will reach $558 billion dollars . It's a dizzying figure. To put it in perspective, it's more than the GDP of entire countrie

Did you know that if you had invested $100 in the 'Magnificent Seven' (Nvidia, Apple, Microsoft, Google, Tesla, Meta, and Amazon) a decade ago, today you would have more than $4,400? Tempting, indeed. So why not concentrate your entire equity portfolio in that sector? However, as Vanguard wisely points out in a recent article : " You can always find some asset that outperforms your diversified portfolio " (Why not invest in NVIDIA instead of the magnificent seven?). This over

Financial analysts and investment managers constantly face complex, high-dimensional data sets (and if you're reading this, you've probably experienced a similar problem). To handle this complexity, they often resort to dimensional reduction  techniques, but frequently confuse methods that have fundamentally different purposes . Let's examine this. The Analyst's Dilemma: Simplify Without Losing Key Information In this article, I'll analyze two common approaches: principal com