We have studied the empirical distribution of cancellation positions through
rebuilding the limit-order book using the order flow data of 23 liquid stocks
traded on the Shenzhen Stock Exchange in the year 2003. We find that the
probability density function (PDF) of relative price levels where cancellations
allocate obeys the log-normal distribution. We then analyze the PDF of
normalized relative price levels by removing the factor of order numbers stored
at the price level, and find that the PDF has a power-law behavior in the tails
for both buy and sell orders.
The asymmetric price impact between the institutional purchases and sales of
32 liquid stocks in Chinese stock markets in year 2003 is carefully studied. We
analyze the price impact in both drawup and drawdown trends with consecutive
positive and negative daily price changes, and test the dependence of the price
impact asymmetry on the market condition. For most of the stocks institutional
sales have a larger price impact than institutional purchases, and larger
impact of institutional purchases only exists in few stocks with primarily
increasing tendencies.
This paper conducts an empirically study on the trade package composed of a
sequence of consecutive purchases or sales of 23 stocks in Chinese stock
market. We investigate the probability distributions of the execution time, the
number of trades and the total trading volume of trade packages, and analyze
the possible scaling relations between them. Quantitative differences are
observed between the institutional and individual investors.
We study the statistical properties of the recurrence intervals $\tau$
between successive trading volumes exceeding a certain threshold $q$. The
recurrence interval analysis is carried out for the 20 liquid Chinese stocks
covering a period from January 2000 to May 2009, and two Chinese indices from
January 2003 to April 2009.
The order submission and cancelation processes are two crucial aspects in the
price formation of stocks traded in order-driven markets. We investigate the
dynamics of order cancelation by studying the statistical properties of
inter-cancelation durations defined as the waiting times between consecutive
order cancelations of 22 liquid stocks traded on the Shenzhen Stock Exchange of
China in year 2003.
We investigate the probability distributions of the recurrence intervals
$\tau$ between consecutive 1-min returns above a positive threshold $q>0$ or
below a negative threshold $q<0$ of two indices and 20 individual stocks in
China's stock market. The distributions of recurrence intervals for positive
and negative thresholds are symmetric, and display power-law tails tested by
three goodness-of-fit measures including the Kolmogorov-Smirnov (KS) statistic,
the weighted KS statistic and the Cram\'er-von Mises criterion.