Class: COMS W4995-3

Technology & Financial Markets: Financial Technology

Columbia University

Fall 2009
Class: Wednesday, 6:10pm-8:00pm
Location: 825 Mudd, Columbia University

Instructor: Dr. Gitanjali M. Swamy
Office Location: 464 Mudd, Columbia University
Office Hours: Wednesday 3-5pm, 464 MuddEmail: @
gmswamy@cal.berkeley.edu-or-@gms2155@columbia.edu

TA: Anureet Dhillon
Office:  122 Mudd, Columbia University
Office Hours: Tuesday 1030am-1230pm, TA Room
Email: -@
ad2660@columbia.edu

 

This course is intended to introduce students to the technology that make financial markets function in today’s economy. The key takeaway is that without its technology, the finance industry could not exist today and the technology function is far more pivotal in finance than in any other industry vertical. Technology has changed the basic process of investment, financing and payout decisions of firms as well as saving and investment decisions of individuals. It is expected that by the end of the course students will have a clearer understanding of the inter-relationship between technology, the financial markets and the overall economy.

We begin with an overview of technological and mathematical methods used in financial markets and their analogous use in other engineering disciplines. In the second section we will study retail payments, fulfillment and the corresponding solutions provided by interchange and security players. We will study the entrance of technologies like RF communication and mobile phones into financial payment systems. The third section will study public markets, B2N/B2C exchanges and the design considerations in such systems. The section will link the trading of stocks, bonds and other high volume instruments to the technology and infrastructure required to make it possible. The section will also examine the historical evolution and the pivotal role of technology. It will then delve basic option pricing and development of valuation models. It will then compare those techniques with traditional engineering algorithms/analysis for problems like game theory and the heat flow equation. Finally, it will translate those techniques into technological infrastructure required to support the models. The fourth section will cover private markets and rating systems. This section will examine network theory for communications and link it with network theory in the valuation of illiquid sectors like venture capital.  We will examine the valuation of illiquid assets (private companies, tulips and domain names), intermediation and the technology that makes it possible. It will cover the basic algorithmic techniques for private market valuation and the technological evolution path for these markets.

The fifth section will cover financial products with different payoff such as insurance. As part of this section we will cover the probabilistic models associated with calculation of insurance pricing, actuarial tables etc.The sixth section will deal with the Internet and its impact on financial markets.  We will examine the Google effect, i.e. the creation of virtual universes and adaptive knowledge sharing. The Internet makes it possible for virtual financial markets to take-over the role of traditional real markets. The section will examine internet tools that are available to the retail consumer today that in effect creating new markets and customers.  We will conclude with the future impact of internet social networking on financial valuation and examine the emergence of new business models for finance. The final section summarizes the key lessons learned and the hypothesis on the future.

Course Overview

This course will use a combination of analytic and case based pedagogy. Many of the sections will be covered by guest lecturers who have built the systems under discussion. The course will introduce a wide variety of financial tools ranging from Bloomberg, CapitalIQ, VentureXpert, Moody’s and Aarm. The final exercise will consist of a paper that either uses the suite of tools to solve a financial problem in a new way or design of a technology that could change financial business models.

Prior Project

In order to give you an idea about the type of projects and their content, please refer to last year’s project reports by clicking here.

 

Teaching Schedule

Shedule

Date 

 

Lecture 

Cases/Reading 

 

 

09/09/2009  

 

Part I:

Course Overview

·        Course, grading and the case method.

·        Explaining the case method

·        Case summary due after the class

·        Course graded on case participation, case summary, pop quizzes and final project

Overview of methods

  • Basic Math
  • Algorithms
  • Statistics
  • Game Theory
  • Systems
  • Basic Financial terminology

 

None 

 

 Instructor

09/16/2009  

 

Part I: World of Financial Systems

·        Origins

·        Transactions

·        Exchanges

·        Systems

·        Size and Shape of Space

·        Examples

 

Part II: The Money Game

None  

 

 Instructor

09/23/2009

 

Part I:   History of Finance

·        Arbitrage

·        Market Players

 

Part II: Project – Financial Systems

 None

 

 

09/30/2009

 

Part I: Introduction to Public Markets

·        Exchanges

·        Players

·        Transactions

·        History of IT and Financial Service

Part II: Case Discussion Nasdaq

Nasdaq

 

 Instructor

10/07/2009

 

Part I: Private Markets and Rating Systems: Technology for Illiquid assets

·        Valuation of Illiquid Assets

·        Rating Systems and ANN’s

·         Structured Products

·         Private market valuation and technology

 

Part II: Case Discussion

 

Morningstar 

 

 TBD

10/14/2009

 

Part I: Public Markets

·        The Evolution of IT in Financial Services

·        Sales vs. Quants vs. Engineers 

·        The Future of IT    

 Part II: Case Discussion Nasdaq

Nasdaq-Japan

 

 George Tillmann, Former CIO  and Partner Financial/Information Technology, Booz Allen & Hamilton

10/21/2009 

 

Part I: New Financial Products

·        New Products: Derivatives and Synthetics

·        Credit Derivatives

·        Managing Risk

·        Crashes and Failure

·        Enterprise Risk Management

 Part II: Case discussion

Lehman and Amex Securitization 

 

Lars Toomre, Former Managing Director, Head of Fixed Income, Mortgages at UBS, Smith Barney, American RE and  Senior Vice President, Fixed Income, Lehman.

10/28/2009 

 

Part I: Crisis and Market Crashes

·        Options

·        Arbitrage and Leverage

·        Trading Strategies and IT Requirements

·        Behavior in a Crash and IT Requirements

·        Understanding Black Swan Strategies  and IT – Shut down or be Overactive

Part II: Case discussion

Long Term Capital Management(A), (B), (C)

 

 Ashutosh Joglekar, Executive Director, Technology, JP Morgan-Chase and former head of IT, Long Term Capital Management

11/04/2009 

 

 Part I: Retail exchanges and payments

·        Payment systems – Checkpoint, Verisign

·        RFID, Mobile and the future of financial payments

·        The Future of retail and banking

.        Part II: Case discussion:

 Li Fung & Co

 

 Dr. Venkat Krishnamurthy, CTO Checkpoint Systems, formerly CTO Oat Systems

11/11/2009

 

Part I: Internet and Finance: The Google effect

·        Internet technology: Enabling the individual – Etrade, Ebay etc.

·         The network effect: Google changes valuation

·        Social networking: Future models

·        Consumer tools: Bloomberg, VentureXpert, Aarm

·        Part II: Case Discussion

 Paypal

 

 Prof. Brian Subirana, IESE, Barcelona

11/18/2009

 

Part I :    Insurance

·        Pooling of risk

·        Calculating fair pricing

·        Insurance and options

·        Technology in Insurance

Part II: Case discussion

 

 Innovation at Progressive(A)

 

 TBD

12/02/2009

 

 Part I: Risk Management

·        Portfolios

·        Risk Management

·        Markowitz Model

·        VAR Models

·        Enterprise Risk Management

 

Part II: Case discussion

 Harvard Management Company 

 

 TBD

12/09/2009

 

 Part I: Architecture of  Financial Systems

·        Components

·        Databases

·        UI

·        Engines

·        Computational Complexity

 

Part II: Case Discussion

Linux

 

 

 Prof. Stephen Edwards, Columbia University

Final Day  

 

Paper Reports and Project Demos Due  

 

 

 

 Project  

Required Text

This course has no single text. The course material consists of cases available from Harvard Business Publishing that will be used for the class case discussion, notes provided by the instructor, class presentation handouts and sections from different course references.

 

A list of class references are provided below

 

References

The course will not have a text book. The reading and case study material links will be provided the week before. Typically the relevant documents can be bought and downloaded from Harvard Business Publishing at www.hbsp.com.

 

Additional references include 

1.      Z. Brodie, R. Merton, The Design of Financial Systems: Towards a Synthesis of Function and Structure, Harvard Business School

2.      Robert C. Merton and Zvi Bodie, “Design of financial systems: towards a synthesis of function and structure”

3.      Charles Mackay (Author), Andrew Tobias (foreword),  “Extraordinary Popular Delusions & the Madness of Crowds”

4.      Nassim Nicholas Taleb, “The Black Swan: The Impact of the Highly Improbable”

5.      Robert C. Merton, “Continuous-Time Finance”

6.      John Cochrane, The Risk and Return of Venture Capital, University of Chicago

7.      David F. Swensen, “Pioneering Portfolio Management: An Unconventional Approach to Institutional Investment”

8.      Thomas Meyer, Pierre-Yves Mathonet, Beyond the J Curve: Managing a Portfolio of Venture Capital and Private Equity Funds

9.      Richard Brealey, Stewart Myers, and Franklin Allen, “Principals of Corporate Finance”

10.   Thomas Cormen, Charles Leiserson, Ronald Rivest, Clifford Stein, “Introduction to Algorithms”

11.   N. Gregory Mankiw, Macroeconomics

12.   George Tillmann, “The Business-Oriented CIO: A Guide to Market-Driven Management”

13.   Mark L Berenson, David M. Levine, Timothy C. Krehbiel, “Basic Business Statistics”

14.   Steve Maguire, Writing Solid Code: Microsoft's Techniques for Developing Bug-Free C Programs (Microsoft Programming Series)

15.   California Pension Fund Alternative Investment Report, Strategic Program Review.

16.   Moody’s Investors Service, “Rating Methodology”

17.   National Venture Capital Association Handbook, 2007

 

 

Documents

You'll perform a design-it-yourself project in the second half of the class. There are five deliverables for the project:

  1. A short project proposal describing in broad terms  the arena you want to build a financial system for, the thesis or hypothesis,  what you plan to research, what you plan to build/demo
  2. A detailed project design describing in detail the functional specification, architecture of your project, functional. This should include block diagrams, algorithmic modules: everything someone else would need to understand your design. You should have done some preliminary implementation work by this point to validate your design.
  3. An early demo of your project and progress. It should include the theoretical discussion and be roughly 75% working and be showing signs of life. This is to make sure you are making reasonable forward progress.
  4. A presentation on your project to the class
  5. A final project report

  Project groups should be three students or more.

 

Project Report

 This is a critical part of the project and will be a substantial fraction of the grade.   Include the following sections:

  1. An overview of your project: a revised version of your project proposal.
  2. The theoretical hypothesis or thesis that you are addressing
  3. The detailed project design documents: a revised version of the project design.
  4. A section listing who did what and what lessons you learned and advice for future projects
  5. Complete listings of every file you wrote for the project. Include C source, Java, Stata, SPSS code.

  Include all of this in a single .pdf file (don't print it out) and email it to me on the due date.   Also create a Zip file and upload to the class archive.

Projects

Grading

30 % Class participation and summaries
40 % Project
30 % Quizzes

NO EXAMS
 

Late Policy Zero 25% for anything handed in after it is due without explicit approval of the instructor.