This paper examines the role of algorithmic trading in modern financial markets. Additionally, order types, characteristics, and special features of algorithmic trading are described under the lens provided by the large development of high frequency trading technology. Special order types are...

We study how short-term informational advantages can be monetized in a high-frequency setting, when large inventories are explicitly penalized. We find that if most of the additional information is revealed regardless of the high-frequency traders' actions, then fast inventory management allows...

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 investigate the relative roles of limit orders from proprietary algorithmic traders (PAT) and agency algorithmic traders (AAT) in the discovery of security prices in National Stock Exchange (NSE) of India. Our results suggest that AAT contributes more to price discovery compared to PAT. This...

Despite the fact that an intraday market price distribution is not normal, the random walk model of price behaviour is as important for the understanding of basic principles of the market as the pendulum model is a starting point of many fundamental theories in physics. This model is a good zero...