In equity trading, internalization is the predominant execution method for uninformed order flow, allowing retail brokers to realize cost savings and thereby offer price improvements to customers. In cryptocurrency trading, there are doubts as to whether informed and uninformed traders can be...

Managing the trade-off between volume and margin is among the most fundamental challenges for dealers in a securities market. We attempt to overcome this trade-off by incorporating predictions for buyer- and seller-initiated trades when submitting limit orders. Using the Avellaneda-Stoikov model...

In terms of convex analysis the revenue function of a country with a given factor endowment may be seen as the support function of the production possibility set. At the same time this revenue function is the so called convex-conjugate of the indicator function of the production possibility set....

In terms of convex analysis the revenue function of a country with a given factor endowment may be seen as the support function of the production possibility set. At the same time this revenue function is the so called convex-conjugate of the indicator function of the production possibility set....

In an in fluential paper Berger and Mester (1997) have proposed the alternative profi t function. It is widely thought that the alternative profi t function does not result in any useful duality properties. We show, in this study, that quite the opposite is true and, in fact, one can recover,...

The supply/demand of a security in the market is an intertemporal, not a static, object and its dynamics is crucial in determining market participants' trading behavior. Previous studies on the optimal trading strategy to execute a given order focuses mostly on the static properties of the...

We propose a partitioning algorithm to solve a class of linear-quadratic Markov decision processes with inequality constraints and non-convex stage-wise cost; within each region of the partitioned state space, the value function and the optimal policy have analytical quadratic and linear forms,...

We employ deep learning in forecasting high-frequency returns at multiple horizons for 115 stocks traded on Nasdaq using order book information at the most granular level. While raw order book states can be used as input to the forecasting models, we achieve state-of-the-art predictive accuracy...

This paper is part of author's Master Thesis Chaos in emerging capital market: an empirical study on the Jakarta Stock Exchange. Some evidences of the existence of chaotic system proved by chaos researches on the developed market as conducted by some researchers strongly motivate us to try to...

In terms of convex analysis the revenue function of a country with a given factor endowment may be seen as the support function of the production possibility set. At the same time this revenue function is the so called convex-conjugate of the indicator function of the production possibility set....