SEC and CFTC reports estimate that High Frequency strategies are responsible for about 60% of all transactions on U.S. shares. In Europe, this percentage is around 40% and growing. High Frequency strategies are those characterized by a brief holding period, which can range from a split second to...

We demonstrate how a machine learning algorithm can be applied to predict and explain modern market microstructure phenomena. We investigate the efficacy of various microstructure measures and show that they continue to provide insights into price dynamics in current complex markets. Some...

The efficient market hypothesis is highly discussed in economic literature. In its strongest form, it states that there are no price trends. When weakening the non-trending assumption to arbitrary short, small, and fully unknown trends, we mathematically prove for a specific class of...

We model endogenous technology adoption and competition among liquidity providers with access to High-Frequency Trading (HFT) technology. HFT technology provides speed and informational advantages. Information advantages may restore excessively toxic markets. Speed technology may reduce resource...

Toxic arbitrage opportunities are caused by information arriving in one market leading to short lived price deviations between markets. This paper shows that the direction of such arbitrage opportunities provides valuable insights into price discovery and markets' information shares. Starting...

This article introduces a very flexible framework for causal and predictive market views and stress-testing. The framework elegantly combines Bayesian networks (BNs) and Entropy Pooling (EP). In the new framework, BNs are used to generate a finite set of joint causal views / stress-tests for the...

Any lead-lag effect in an asset pair implies the future returns on the lagging asset have the potential to be predicted from past and present prices of the leader, thus creating statistical arbitrage opportunities. We utilize robust lead-lag indicators to uncover the origin of price discovery...

We consider the consumption-based asset-pricing model, derive a modified basic pricing equation, and present its successive approximations using the Taylor series expansions of the investor’s utility during the averaging time interval. For linear and quadratic Taylor approximations, we derive...

We consider the time interval Δ during which the market trade time-series are averaged as the key factor of the consumption-based asset-pricing model that causes modification of the basic pricing equation. The duration of Δ determines Taylor series of investor’s utility over current and...

We consider well-known consumption-based asset pricing theory and regard the choice of the time interval Δ used for averaging the market price time-series as the key factor of asset pricing. We show that the explicit usage of the averaging interval Δ allows expand investor’s utility into...