L'S&P 500 è SBAGLIATO? Equal Weight vs Classico

Many investors are switching to Equal Weighted ETFs to reduce specific risk, but is this really the right move? In this video, Gianni (Independent Financial Advisor) analyzes in detail the differences between the classic S&P 500 index (capitalization-weighted) and the Equal Weighted version. We'll discover why giving all 500 American companies equal weighting could be a strategic mistake that hurts your long-term returns. What you'll learn in this video: How capitalization-weighting works and why the market "rewards" leaders. The illusion of diversification in Equal Weighted ETFs: the football team metaphor. Historical data analysis: the return gap between the classic S&P 500 and Equal Weighted ETFs over the last 12 years. Why Betting Against the Market's "Workhorses" Can Be Costly If you want to build an efficient portfolio and avoid being influenced by current trends, this video will provide you with the data you need to make informed decisions. Do you have a portfolio and aren't sure if it's perfect for you? Click the link below to book your portfolio analysis👇 https://investirepervivere.it/analisi... Alternatively, download the FREE financial training guide Investing for a Living to invest your capital or savings consciously and avoid making embarrassing mistakes. https://investirepervivere.it/guida-s... Don't forget to follow us on our social media profiles: Linkedin:   / gianni-russo-a8145a213   Instagram:   / russo._gianni   0:00 Is the S&P 500 risky? 0:36 What is an Equal Weighted ETF and how does it work 1:26 Why Equal Weighted is less efficient than traditional ETFs 1:59 Capitalization-weighted: the weight of leaders 2:42 The difference between leading companies and newcomers 3:05 A soccer metaphor: should everyone play the same amount of time? 4:36 The inefficiency of investing in companies that generate little value 5:29 Who really drives the market? The study on the Magnificent 7 6:52 Why "workhorses" change every decade 7:34 Returns comparison: S&P 500 vs. Equal Weighted (2014-2026 data) 8:44 The solution is not to limit the best companies 10:05 Conclusions: how to diversify based on your risk profile