There is not much doubt in the public mind that the dot-com boom on NASDAQ in the end of 90s represented a bubble. Indeed, major violations of rationality were observed. For instance, some dot-coms, which terminated their business still held positive market value. A market cap of the Internet companies, which sold airline tickets once was higher, than combined market capitalization of all airlines. However, academics are not so united in diagnosing the situation, which existed with hi-tech stocks at the turn of the century as the bubble, as well as the existence of asset pricing bubbles in principle (Siegel, 2003, Donaldson and Kamstra, 1996, Oftek and Richardson, 2003). Recently, Jarrow, Protter and Shimbo (2006-2007) developed a quantitative definition of a bubble. Unlike other studies of bubbles, which are based on analysis of the difference between fundamental(i.e. economically driven) price of the asset and its market price. However, fundamental price is notoriously difficult to predict. In my work, I propose alternative method of the study of the bubbles, which does not depend on a particular valuation model.