We develop a two period model of trade where a common value asset is traded against a numeraire in two parallel markets. An insider who knows the final value of the asset exploits his private information in both markets. Some traders, called high frequency (HF) traders, observe the total orders...

Abstract I demonstrate an important tension between acquiring information and incorporating it into asset prices. As a salient case, I analyze the rise of algorithmic trading (AT), which is typically associated with improved price efficiency. Using a new measure of the information content of...

Using the adoption of the Arrowhead trading platform in January 2010 as an exogenous event, we investigate the effects of algorithmic trading on stock market liquidity and commonality in liquidity under different market conditions on the Tokyo Stock Exchange. After controlling for endogeneity,...

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...

We assume that the drift in the returns of asset prices consists of an idiosyncratic component and a common component given by a co-integration factor. We analyze the optimal investment strategy for an agent who maximizes expected utility of wealth by dynamically trading in these assets. The...

The financial services industry is among the leading industries in IT-spending. Still, little research exists which investigates how IT influences the financial services sector. Against this background, we study how a technology which emerged within the last years affects securities trading:...