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There are 6 modules in this course
Within this course you will learn about price formation and liquidity in securities markets. You will discover the determinants of market depth and security trading. In particular, the course focuses on price formation and liquidity in securities markets. The main issues covered are how to measure trading costs; how security prices, their liquidity and speed of price discovery are jointly determined, and how order flow affects prices; what are the determinants of market depth; how security trading is organized and regulated and how it has been reshaped by algorithmic and high frequency trading; how the organization of security trading affects trading costs and informational efficiency.
This module presents the subject of the course and its main concepts: liquidity and price discovery, and basic notions of trading in securities markets.
What's included
21 videos5 readings3 assignments
Show info about module content
21 videos•Total 77 minutes
Introduction•2 minutes
Perfect vs. real-world financial markets•2 minutes
Liquidity•4 minutes
Price discovery•4 minutes
Why should we care?•3 minutes
Market microstructure and empirical puzzles•3 minutes
Policy Issues•4 minutes
Where does trading occur?•3 minutes
Who trades securities?•2 minutes
The life-cycle of an order•2 minutes
The two basic trading mechanisms: limit order and dealer markets•1 minute
Limit order markets: how do they work?•8 minutes
Dealer markets: how do they work?•6 minutes
Many real-world markets are dual or hybrid•3 minutes
Dimensions in which market platforms differ•1 minute
Market transparency•2 minutes
Frequency of trading•1 minute
Interplay of public regulation and self-regulation•5 minutes
Role of competition between market platforms in shaping their design•5 minutes
Effect of changes in regulation on competition between platforms•6 minutes
Effect of changes in technology on trading strategies and competition between platforms•9 minutes
5 readings•Total 51 minutes
What is market microstructure?•15 minutes
Basics of security trading•3 minutes
Market mechanisms•15 minutes
Who sets the rules?•15 minutes
Key takeaways•3 minutes
3 assignments•Total 50 minutes
Basics•30 minutes
Why should we care?•10 minutes
Limit order market•10 minutes
Measuring liquidity
Module 2•2 hours to complete
Module details
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.
What's included
22 videos7 readings6 assignments
Show info about module content
22 videos•Total 60 minutes
Explicit and implicit trading costs•3 minutes
Breaking down implicit trading costs•2 minutes
Data requirements of implicit trading cost measures•2 minutes
Quoted spread•3 minutes
Effective spread•5 minutes
Realized spread•4 minutes
Value-Weighted Average Price (VWAP)•3 minutes
Price Impact•2 minutes
Example of estimates of price impact•1 minute
Amihud Illiquidity Ratio•2 minutes
Other volume-based measures•4 minutes
Definition and rationale of Roll's measure•2 minutes
Assumptions and derivation of Roll's measure•4 minutes
Possible biases in Roll's measure•1 minute
Bias in Roll's measure due to unbalanced order flow•2 minutes
Bias in Roll's measure due to autocorrelated order flow•2 minutes
Bias in Roll's measure if the order flow is informative•1 minute
Bias in Roll's measure if there is a trend in expected returns•2 minutes
Empirical performance of Roll's measure•2 minutes
Time dimension of liquidity•3 minutes
Implementation shortfall•4 minutes
Intuitive meaning•5 minutes
7 readings•Total 41 minutes
Explicit and implicit trading costs•2 minutes
Quoted spread•3 minutes
Spread: based measures•10 minutes
Measure based on order flow and volume data•5 minutes
Roll's measure•15 minutes
Time dimension of liquidity•5 minutes
Key takeaways•1 minute
6 assignments•Total 48 minutes
Measuring Liquidity•30 minutes
Quoted spread•5 minutes
Realized spread•5 minutes
Price impact•3 minutes
Assumptions and derivation of Roll's measure•3 minutes
Implementation shortfall•2 minutes
Price dynamics and Liquidity (part 1)
Module 3•2 hours to complete
Module details
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.
What's included
16 videos4 readings4 assignments
Show info about module content
16 videos•Total 64 minutes
Real-world intraday price fluctuations•3 minutes
Price formation in a frictionless world•4 minutes
Real-world intraday price fluctuations•2 minutes
The static Glosten-Milgrom model•6 minutes
Learning from the order flow•5 minutes
Derivation of the first ask in the trading day•6 minutes
Derivation and properties of the bid-ask spread•1 minute
Dynamics of quotes in the Glosten-Milgrom model•5 minutes
Derivation and properties of the bid-ask spread at any time in the trading day•6 minutes
Price dynamics in response to the order flow•5 minutes
Belief dynamics and price dynamics•2 minutes
Dual role of equilibrium bid and ask quotes•2 minutes
Price discovery and informational efficiency•8 minutes
Dynamics of squared pricing errors•5 minutes
Tradeoff between speed of price discovery and market illiquidity•1 minute
Return volatility•2 minutes
4 readings•Total 28 minutes
Price formation and order flow•4 minutes
Prices with informative order flow: static model•8 minutes
Prices with informative order flow: dynamic model•15 minutes
Key takeaways•1 minute
4 assignments•Total 55 minutes
Price Dynamics and Liquidity part 1•30 minutes
Prices with informative order flow•10 minutes
Examples•5 minutes
Price discovery and informational efficiency•10 minutes
Price dynamics and Liquidity (part 2)
Module 4•2 hours to complete
Module details
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.
What's included
16 videos5 readings3 assignments
Show info about module content
16 videos•Total 55 minutes
Short term reversal in asset prices following an order•2 minutes
Can informed trading account for such price reversals?•2 minutes
Introduce order processing costs and inventory holding costs•2 minutes
Bid-ask spread with order processing costs•3 minutes
Price dynamics with order processing costs•1 minute
Short-run price impact with order processing costs•1 minute
Long-run price impact with order processing costs•1 minute
Dealer rents or order processing costs?•3 minutes
Prices and bid-ask spread with inventory holding costs•5 minutes
Price pressure from the order flow•10 minutes
Move to a dynamic model of prices with inventory holding costs•3 minutes
Dynamic optimization by dealers•8 minutes
Price dynamics with inventory holding costs•1 minute
Inventory and price dynamics with inventory holding costs•3 minutes
Testable implications of the dynamic inventory holding cost model•6 minutes
Price dynamics if asymmetric information, order processing costs and inventory holding costs are all present•5 minutes
5 readings•Total 47 minutes
Mean reversion in prices after orders•8 minutes
Prices and bid-ask spread in the presence of order processing costs•8 minutes
Prices and bid-ask spread with inventory holding costs•20 minutes
The full picture•1 minute
Key takeaways•10 minutes
3 assignments•Total 37 minutes
Price Dynamics and Liquidity part 2•30 minutes
Prices and bid-ask spread in the presence of order processing costs•2 minutes
Prices and bid-ask spread with inventory holding costs•5 minutes
Trade side and Market Depth
Module 5•3 hours to complete
Module details
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.
What's included
17 videos4 readings3 assignments
Show info about module content
17 videos•Total 68 minutes
Societé Generale, January 2008•3 minutes
Depth vs. liquidity•3 minutes
Assumptions of the Kyle model•5 minutes
Steps in solving the model•1 minute
First step: market makers' inference•4 minutes
Second step: imposing market makers' zero-profit condition•5 minutes
Third step: choice of the trade size by the informed investor•3 minutes
Fourth step: Nash equilibrium•6 minutes
Equilibrium market depth and expected profits of the insider•7 minutes
Introducing imperfect competition in the Kyle model•4 minutes
Market depth with imperfect competition in the Kyle model•4 minutes
Optimization by competitive and risk-averse market makers•7 minutes
Equilibrium price with competitive and risk-averse market makers•2 minutes
Depth with competitive and risk-averse market makers•4 minutes
Introducing imperfect competition in the model•4 minutes
Depth with imperfectly competitive and risk-averse market makers•2 minutes
Risk sharing with perfectly and imperfectly competitive market makers•3 minutes
4 readings•Total 38 minutes
Impact of trade size on prices•2 minutes
Market depth in call markets with asymmetric information•25 minutes
Market depth in call markets with risk averse dealers•10 minutes
Key takeaways•1 minute
3 assignments•Total 51 minutes
Trade side and Market Depth•30 minutes
Market depth in call markets with asymmetric information•6 minutes
Risk sharing with perfectly and imperfectly competitive market makers•15 minutes
Algorithmic and High-Frequency Trading
Module 6•3 hours to complete
Module details
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.
What's included
15 videos5 readings2 assignments
Show info about module content
15 videos•Total 58 minutes
Definition of algorithmic and high-frequency trading•5 minutes
Types of algo trading strategies•4 minutes
Potential effects on market liquidity•8 minutes
Empirical evidence regarding the effects on market liquidity•2 minutes
Effects on price discovery•2 minutes
Effects on market manipulation•4 minutes
Modelling investment in speed as an arms race•4 minutes
Determination of quotes and of the competitive bid-ask spread•6 minutes
Speculators' expected profits and choice of speed•8 minutes
Nash equilibrium where all speculators are fast•4 minutes
Inefficiency of the investment in speed•2 minutes
Investment in speed by market makers•1 minute
Effect of high-frequency trading on operational risk•1 minute
Effects of high-frequency trading on market liquidity and stability•4 minutes
Slowing down trading•4 minutes
5 readings•Total 60 minutes
What are algorithmic and high frequency trading?•4 minutes
Effects of algorithmic and high frequency trading on market quality•15 minutes
Investment in trading speed as an arms race•20 minutes
Destabilizing effects of speed and regulatory interventions•20 minutes
Key takeaways•1 minute
2 assignments•Total 33 minutes
Algorithmic and High-Frequency Trading•30 minutes
Speculators' expected profits and choice of speed•3 minutes
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