We consider the effect of asymmetric information on price formation process in a financial market where private information is held by a market maker. A Bayesian game is proposed in which there is price competition between two market makers with two different information partitions. At each...

We consider the effect of asymmetric information on price formation process in a financial market where private information is held by a market maker. A Byesian game is proposed in which there is price competition between two market makers with two different information partition.

This paper presents a method capable of estimating richly parametrized versions of the dynamic conditional correlation (DCC) model that go beyond the standard scalar case. The algorithm is based on the maximization of a Gaussian quasi-likelihood using a Bregman-proximal trust-region method to...

This paper introduces the logarithmic autoregressive conditional duration model (Log-ACD model). The logarithmic version allows for more flexibility than the ACD model of Engle and Russel (1995), when additional variables are included in the model. We apply the Log-ACD model to bid/ask prices...

One important aspect of financial markets is that there might be some traders that intentionally mislead other market participants by creating illusions in order to obtain a profit. We call this new concept illusionary finance. We present an analysis of how illusions can be created and...

This paper proposes a class of asymmetric Autoregressive Conditional Duration models, which extends the ACD model of Engle and Russell (1997). The asymmetry consists of letting the duration process depend on the state of the price process in the beginning and at the end of each duration. If the...