You are here

Dissertations

Dynamic Trading Strategies in the Presence of Market Frictions

Mehmet Saglam, 2012
Faculty Advisor: Ciamac Moallemi
Print this abtract

Abstract

This thesis studies the impact of various fundamental frictions in the microstructure of financial markets. Specific market frictions we consider are latency in high-frequency trading, transaction costs arising from price impact or commissions, unhedgeable inventory risks due to stochastic volatility and time-varying liquidity costs. We explore the implications of each of these frictions in rigorous theoretical models from an investor's point of view and derive analytical expressions or efficient computational procedures for dynamic strategies. Specific methodologies in computing these policies include stochastic control theory, dynamic programming and tools from applied probability and stochastic processes.

In the first chapter, we describe a theoretical model for the quantitative valuation of latency and its impact on the optimal dynamic trading strategy. Our model measures the trading frictions created by the presence of latency, by considering the optimal execution problem of a representative investor. Via a dynamic programming analysis, our model provides a closed-form expression for the cost of latency in terms of well-known parameters of the underlying asset. We implement our model by estimating the latency cost incurred by trading on a human time scale. Examining NYSE common stocks from 1995 to 2005 shows that median latency cost across our sample more than tripled during this time period.

In the second chapter, we provide a highly tractable dynamic trading policy for portfolio choice problems with return predictability and transaction costs. Our rebalancing rule is a linear function of the return predicting factors and can be utilized in a wide spectrum of portfolio choice models with minimal assumptions. Linear rebalancing rules enable to compute exact and efficient formulations of portfolio choice models with linear constraints, proportional and nonlinear transaction costs, and quadratic utility function on the terminal wealth. We illustrate the implementation of the best linear rebalancing rule in the context of portfolio execution with positivity constraints in the presence of short-term predictability. We show that there exists a considerable performance gain in using linear rebalancing rules compared to static policies with shrinking horizon or a dynamic policy implied by the solution of the dynamic program without the constraints.

Finally, in the last chapter, we propose a factor-based model that incorporates common factor shocks for the security returns. Under these realistic factor dynamics, we solve for the dynamic trading policy in the class of linear policies analytically. Our model can accommodate stochastic volatility and liquidity costs as a function of factor exposures. Calibrating our model with empirical data, we show that our trading policy achieves superior performance in the presence of common factor shocks.

Download Dissertation

Doctoral Program News

Wazlawek featured in Ideas at Work

Abbie Wazlawek's joint research with Professor Daniel Ames is featured in the June 24th, 2014 edition of Ideas at Work

Read More about Abbie

Ethan Rouen featured in Ideas at Work

Ethan Rouen's joint research with Professor Dan Amiram is featured in the May 15th, 2014 edition of Ideas at Work

Read More about Abbie

Rivas Wins Fellowship

The PhD program is proud to congratulate Miguel Duro Rivas, who was awarded the Nasdaq Educational Foundation Doctoral Dissertation Fellowship.

Read More about Miguel

Wong wins Deloitte Fellowship

We are proud to announce that Yu Ting (Forester) Wong is one of the recipients of the 2014 Deloitte Foundation Doctoral Fellowship in Accounting.

Read More About Yu Ting >

The PhD Program Congratulates John Yao

PhD student John Yao was a finalist in the 2013 M&SOM (Manufacturing & Service Operations Management) student paper competition.

Read More About John >

Honigsberg Named Postdoctoral Fellow

The PhD program is proud to congratulate Colleen Honigsberg, who was named the Postdoctoral Fellow in Corporate Governance at the Millstein Center at Columbia Law School in October 2013

Read More about Colleen >

Application Deadlines

Master of Science in Marketing >

For Fall 2014 Entry:
Early Decision: Jan 5, 2014
Regular Decision: Feb 2, 2014

 

Master of Science in Financial Economics

For Fall 2014 Entry:
Early Decision: Jan 5, 2014
Regular Decision: Feb 2, 2014

Master of Science in Management Science and Engineering

For Fall 2014 Entry:
Early Decision: Jan 6, 2014
Regular Decision: Feb 15, 2014

Apply Now
Sept 2014

Doctoral
Deadline: 01/05/14

MS Marketing
Deadline: 02/02/14

MS Financial Economics
Deadline: 02/02/14

MS Leadership
Rolling admission

Check Application Status

Students listening to classroom lecture

Once you've submitted your application, you can login and track your status by using the link below.

Check Status