This paper provides a detailed microstructure analysis of the euro money market by taking a network perspective. Banks are the nodes of the networks; overnight unsecured loans form the links connecting the nodes. The static analysis of network indicators confirms a number of stylised facts...

Using the intuition that financial markets transfer risks in business time, we define “market microstructure invariance” as the hypothesis that the distribution of risk transfers (“bets”), transactions costs, market resiliency, and pricing accuracy are constant across assets when...

This working paper investigates the performance of several published simple intraday trading strategies for S&P-500 futures. The general result is: The strategies do not work as advertised under realistic trading assumptions. The paper discusses some possible refinements. It is important to...

The poor performance of macroeconomic exchange rate models in and out-of-sample is well documented in literature. One reason for this result is the impact of ‘scapegoat' effects: that is, participants attach different weights to different macro fundamentals in different periods. On the other...

Orderbook models aim to describe and predict the dynamics of the limit orderbook and explain the price construction process. Orderbook modeling has recently met a wide interest by the arising of algorithmic high frequency trading on financial markets. Nevertheless, current models fail to explain...

In recent years the Bank of Mexico has made a series of rules-based interventions in the peso/dollar foreign exchange market. We assess the effectiveness of two specific interventions that occurred in periods of great stress for the Mexican economy. The aims of these two interventions were,...

We consider a framework for solving optimal liquidation problems in limit order books. In particular, order arrivals are modeled as a point process whose intensity depends on the liquidation price. We set up a stochastic control problem in which the goal is to maximize the expected revenue from...

A micro-scale model is proposed for the evolution of a limit order book in modern high-frequency trading applications. Within this model, order flows are described by doubly stochastic Poisson processes (also called Cox processes) taking account of the stochastic character of the intensities of...

We examine the effect of learning of uninformed traders in a dynamic limit order market with asymmetric and short-lived information. We show that the learning is effective and valuable with respect to information acquisition, forecasting and buy-sell decision accuracies, and profit opportunity...

The general concept of a Securities Transaction Tax is controversial among academics and politicians. While theoretical research is quite advanced, the empirical guidance in a fragmented market context is still scarce. Possible negative effects for market liquidity and market efficiency are...