  The bubble is a controversial and important issue. Many methods which based
on the rational expectation have been proposed to detect the bubble. However,
for some developing countries, epically China, the asset markets are so young
that for many companies, there are no dividends and fundamental value, making
it difficult (if not impossible) to measure the bubbles by existing methods.
Therefore, we proposed a simple but effective statistical method and three
statistics (that is, C, U, V) to capture and quantify asset price bubbles,
especially in immature emerging markets. To present a clear example of the
application of this method to real world problems, we also applied our method
to re-examine empirically the asset price bubble in some stock markets. Our
main contributions to current literature are as follows: firstly, this method
does not rely on fundamental value, the discount rates and dividends, therefore
is applicable to the immature markets without the sufficient data of such
kinds, secondly, this new method allows us to examine different influences
(herding behavior, abnormal fluctuation and composite influence) of bubble. Our
new statistical approach is, to the best of our knowledge, the only robust way
in existing literature to to quantify the asset price bubble especially in
emerging markets.
