We propose a model for the dynamics of a limit order book in a liquid market
where buy and sell orders are submitted at high frequency. We derive a
functional central limit theorem for the joint dynamics of the bid and ask
queues and show that, when the frequency of order arrivals is large, the
intraday dynamics of the limit order book may be approximated by a Markovian
jump-diffusion process in the positive orthant, whose characteristics are
explicitly described in terms of the statistical properties of the underlying
order flow.
We propose and study a simple stochastic model for the dynamics of a limit
order book, in which arrivals of market order, limit orders and order
cancellations are described in terms of a Markovian queueing system. Through
its analytical tractability, the model allows to obtain analytical expressions
for various quantities of interest such as the distribution of the duration
between price changes, the distribution and autocorrelation of price changes,
and the probability of an upward move in the price, {\it conditional} on the
state of the order book.
This paper develops a structural credit risk model to characterize the
difference between the economic and recorded default times for a firm. Recorded
default occurs when default is recorded in the legal system. The economic
default time is the last time when the firm is able to pay off its debt prior
to the legal default time. It has been empirically documented that these two
times are distinct (see Guo, Jarrow, and Lin (2008)).