The article discusses how volatility in financial markets, which measures price fluctuations, can be estimated using a hidden Markov process. By analyzing price data, researchers found that volatility follows a lognormal distribution and is linked to trading volume through a power law relationship. They also discovered that current volatility can predict future returns to some extent.