In this presentation, we analyze the explanatory (in-sample) and predictive (out-of-sample) importance of some of the best known market microstructural features. Our conclusions are drawn over the entire universe of the 87 most liquid futures worldwide, covering all asset classes, going back...

In this paper we propose a novel flexible framework based on time changed Lévy process for the joint evolution of stock log-returns and their volatility with the aim of analysing which risk factors and which distribution features provide a robust calibration, repricing and hedging performance....

We derive robust good-deal hedges and valuations under combined model ambiguity about the drift and volatility of asset prices for incomplete markets. Good-deal valuations are determined such that not just opportunities for arbitrage but also for overly attractive reward-to-risk ratios are...

A central conjecture of behavioural finance is that arbitrage opportunities appear as a result of systematic irrational investment behaviour and persist since real-world arbitrage trades actually involve costs and risks due to market frictions and non-fundamental risk. This paper shows that the...

I develop a highly tractable dynamic general equilibrium model with collateralized lending and securitization in which asset-backed securities (ABS) function as a mechanism for risk sharing. Entrepreneurs who face aggregate and idiosyncratic investment risks can borrow from a menu of...

In their note titled “Reflecting on the VPIN Dispute,” Andersen and Bondarenko (AB) questioned the validity of using the false positive rate to measure the effectiveness of VPIN. However, their objection was based on an imperfect definition of the false positive rate, not taking into account...

Multiple empirical studies have shown that Order Flow Imbalance has predictive power over the trading range.The PIN Theory (Easley et al. [1996]) reveals the Microstructure mechanism by which: Market Makers adjust their trading range to avoid being adversely selected by Informed Traders;...

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...

Execution traders know that market impact greatly depends on whether their orders lean with or against the market. We introduce the OEH model, which incorporates this fact when determining the optimal trading horizon for an order, an input required by many sophisticated execution strategies....

The classic Arrow-Debreu framework requires a very large number of specific securities to reach Pareto optimality. The present paper shows that financial intermediation can play an important role in maintaining a more parsimonious market framework while still obtaining Pareto optimality. In the...