In this week you will learn that some trading costs are explicit, others implicit, and how to measure trading costs using different types of data. Furthermore, you will learn how to take the time dimension of trading into account.

This module talks about price formation in markets with asymmetric information. You’ll understand why in these markets prices respond to the order flow and you’ll know how the informativeness of the order flow affects market liquidity and price discovery.

In this week we’ll talk about frictions that contribute to the bid-ask spread and generate mean reversion in prices and you’ll learn about order processing costs. Moreover, you’ll know the imperfect competition among market makers and how inventory holding costs of risk-averse dealers.

This week will explain how orders of different sizes have a different impact on prices and how price impact is an inverse measure of market depth. You’ll learn that depth is affected by order flow informativeness, market risk absorption capacity and competition between liquidity suppliers.

By the end of this week, you will learn the fundamentals of algorithmic and high-frequency trading, their impact on market quality, and explore policies to mitigate trading speed effects.