Can Predictive Analytics predict a Black Swan event in advance?
"The central idea in The Black Swan is that: rare events cannot be estimated from empirical observation since they are rare. "- Nassim Nicholas Taleb Can Predictive Analytics predict a Black Swan event in advance? Covid 19 was the biggest black swan event that occurred in recent past and cause high volatility in the stock markets worldwide. I explore whether it was possible to predict it in advance? The major impact of this Black Swan event was felt in March 2020. I use the example of a very popular stock "Meta" from Nasdaq. The stock was trading at $204 on Feb-3-2020. The system identified a matching pattern from Ford Motor Co on March-2-1994. In 1 Month from the date mentioned, The Ford stock had risen +2.7% and fallen by -6.6% and in 2nd Month from date mentioned, the stock had fallen -12% , comparatively in Month 1 (Feb 2020) Meta had risen +6.6% and fallen -6%. In 2nd month (March 2020) which was the peak of market volatility Meta stock fall by -27%. Disclaimer...