We investigate the impact of high-frequency trading (HFT) on market quality and investor welfare using a general limit order book model. We find that while the presence of HFT always improves market quality under symmetric information, under asymmetric information this is the case only if...

We numerically determine the equilibrium trading strategies in a Continuous Double Auction (CDA). We consider heterogeneous and liquidity motivated agents, with private values and costs that trade sequentially in random order under time constraints and are not aware of the type of the other...

We present a dynamic equilibrium model to understand differences and interactions between informational and trading speed advantages. The model is a stochastic asynchronous game, with endogenous trading decisions and non-cooperation among agents, in a limit order market. We show that welfare and...

We study a duopoly where the two price setting firms have symmetric information. The firms produce substitute goods with a state dependent common value. The information that is available to both firms about the unknown state of nature is also available to the consumers, who also have access to...

This paper develops a framework to study general equilibrium implications for an economy in which agents are allowed to have dynamically inconsistent time and risk preferences. This framework accommodates, but is not limited to, the following settings: (1) non-exponential discounting; (2)...

The appearance of a Brownian term in the price dynamics on a stock market was interpreted in [De Meyer, Moussa-Saley (2003)] as a consequence of the informational asymmetries between agents. To take benefit of their private information without revealing it to fast, the informed agents have to...

We study dynamic signaling in a game of stochastically evolving stakes. Our motivating example is dynamic limit pricing in markets with persistent demand shocks. An incumbent is privately informed about its costs, high or low, and can deter a potential entrant by setting prices strategically....

This article develops an agent-based model of security market pricing process, capable to capture main stylised facts. It features collective market pricing mechanisms based upon evolving heterogeneous expectations that incorporate signals of security issuer fundamental performance over time....

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...

We devise a tractable model to study the buyer's bid double auction (BBDA) that allows correlated signals and interdependent values/costs. We demonstrate that simple, easily calculated equilibria exist in small markets. We prove that the incentive for strategic behavior vanishes at a O (1/η)...