We introduce a framework to study the effective objectives at different time scales of financial market microstructure. The financial market can be regarded as a complex adaptive system, where purposeful agents collectively and simultaneously create and perceive their environment as they interact with it. It has been suggested that multiple agent classes operate in this system, with a non-trivi...

The objective of this paper is to uncover the determinants of trading intensity in futures markets. In particular, the time between adjacent transactions (referred to as transaction duration) on the FTSE 100 index futures market is modeled using various augmentations of the basic autoregressive conditional duration (ACD) model introduced by Engle and Russell [Econometrica 66 (1998) 1127]. The d...

In his book on “Market Microstructure” Spulber presented some strange results with respect to the impact of the substitutability parameter in an intermediation model with differentiated products and inputs. Intuitively, effects in the product and the input market should be similar: if firms become more homogeneous, they loose market power, which should yield lower bid-ask-spreads and higher out...

The main objective of this article is to present a comparative study of capital assets pricing models (CAPM) with extrapolating capital assets pricing models (X-CAPM) of companies admitted in Tehran Exchange Market which is accomplished for the first time by investigators of this research in Iran. Accordingly, the statistical population under study of this research includes all companies admitt...

probability of private information based trade (pin) has introduced as information risk measure. this paper is going to estimate probability of private information based trade (pin) in tehran stock exchange using microstructure models. our results show that pin is significantly different from zero for tehran stock exchange.

This paper proposes a novel multiscale estimator for the integrated volatility of an Itô process with harmonizable increments, in the presence of market microstructure noise. The multiscale structure is modelled frequency-by-frequency and the concept of the multiscale ratio is introduced to quantify the bias in the quadratic variation due to the microstructure noise process. The multiscale rati...

Volatility clustering, with autocorrelations of the hyperbolic decay rate, is unquestionably one of the most important stylized facts of financial time series. This paper presents a market microstructure model that is able to generate volatility clustering with hyperbolically decaying autocorrelations via traders with multiple trading frequencies, using Bayesian information updates in an incomp...

In this paper, impacts of day-ahead market pricing on behavior of producers and consumers in option and day-ahead markets and on option pricing are studied. To this end, two comprehensive equilibrium models for joint put option and day-ahead markets under pay-as-bid and uniform pricing in day-ahead market are presented, respectively. Interaction between put option and day-ahead markets, uncerta...

Many agent-based models of financial markets have been able to reproduce certain stylized facts that are observed in actual empirical time series data by using “zero-intelligence” agents whose behaviour is largely random in order to ascertain whether certain phenomena arise from market microstructure as opposed to strategic behaviour. Although these models have been highly successful, it is not...