VIGRE Introductory Seminar:

Computational Finance

Fall 2003: Upcoming Speakers

September 10:  Donald Williams                     “Derivative Financial Products”
September 17:  Richard Shek                         Market Crashes Throughout History”
September 24:  Rachel Gelman                       Exchanges”
October 1:         Chad Bhatti                            Some Notes on Brownian Motion and Its Relationship to Black-Scholes
October 8:         Gretchen Fix                           A Brief Overview of Current Research on Dividends

October 15:      William C. Wojciechowski      Common Risk Measures – Descriptions and Comparisons”

October 22:      Wei Zhu                                 An Introduction to Econometrics”

October 29:      William C. Wojciechowski      “Beating the Market: The struggle against efficiency, randomness, and friction.”

November 12:  Amanda Geck                        “Evaluating Credit Risk Models Using Loss Density Forecasts: A Synopsis.”

November 19:  Lada Kyj                                “Bond Risk Measures”

November 26:  Ginger Davis                           An Introduction to Time Series

December 3:    Matthias Mathaes                    “Introduction to Derivatives”

 


Matthias Mathaes

STAT

 

Introduction to Derivatives

 

This presentation will introduce examples of financial derivatives. The term financial derivative is a very broad term, which has come to mean any financial transaction whose value depends on the underlying value of the asset. A forward contract would be the simplest form of a financial derivative. The main part of the presentation focuses on the application and the pricing of forward contracts, future contracts and option contracts in simple settings.

 

Wednesday, December 03, 2003

12:00 –1:00pm

DH 1042

 
Ginger Davis

STAT

 

 An Introduction to Time Series

 

This talk will introduce the topic of time series.  We will define concepts important in time series analysis and examine and compare several time series processes--establishing the basic building blocks used in time series.  We will then provide a motivating example using financial data, which will use these building blocks to construct a more complex model. 

 

Wednesday, November 26, 2003

12:00 –1:00pm

DH 1042

 

 

Lada Kyj   

STAT

 

Bond Risk Measures

 

This talk will introduce the basics of bond risk measures.  It will identify and discuss the primary characteristics of a bond, as well as develop the basic framework for pricing.  The relationship between price and yield will be discussed and common risk measures such as duration and convexity will be defined mathematically.  The talk will conclude with curve fitting, an important research topic in yield curve estimation. 

 

Wednesday, November 19, 2003

12:00 –1:00pm

DH 1042

 
Amanda Geck

CAAM

 

Evaluating Credit Risk Models Using Loss Density Forecasts: A Synopsis

 

There has been very little research, empirical or theoretical, in evaluating the quality of current credit risk models. In their 2003 paper, Hergen Frerichs and Gunter Löffler test the power of asset value models considering the entire loss probability density using the Berkowitz test procedure and Monte Carlo simulations. Models both ignoring and accounting for recovery rate and migration risk are compared, and robustness to variations in parameters from the two-state base case is examined.

 

Wednesday, November 12, 2003

12:00 –1:00pm

DH 1042

 

 

William C. Wojciechowski

Post Doc

STAT

 

Beating the Market: The struggle against efficiency, randomness, and friction

 

Efficient markets, random walks, and market friction imply that active investing is an exercise in futility. Thus, one should passively invest and that is the best one can do. On the other hand, many active investors feel that diligence and discipline enable one to obtain superior returns over the market. This debate has generated a large amount of discussion and no final verdict has been reached. We review the concepts that have fueled the controversy and provide some evidence that it is possible to beat the market.

 

Wednesday, October 29, 2003

12:00 –1:00pm

DH 1042

 

 

Wei Zhu

MATH

 

An Introduction to Econometrics

 

Econometrics is the application of statistical theories to economics for the purpose of forecasting future trends. It tests economic models using statistical methods, and the results can be compared and contrasted against real life examples.  In this talk, we will only cover some basic concepts and models of econometrics, such as demand, supply, the production function, and the Walrasian equilibrium. Mainly, we will use a very important theorem called the "Kuhn-Tucker Condition" to describe some properties when a nonlinear layout attains its optimum solution.

 

Wednesday, October 22, 2003

12:00 –1:00pm

DH 1042

 

 

William C. Wojciechowski

Post Doc

STAT

 

Common Risk Measures – Descriptions and Comparisons

 

Market globalization, technology advancements, and the introduction of new financial instruments have opened new opportunities for world-wide capital markets. Because of these changes, it is now more imperative than ever that financial institutions understand and quantify their risks. As a result, practical and effective risk measures are necessary. Unfortunately, defining and quantifying risk is a daunting task. By describing and comparing several common risk measures, this talk demonstrates the challenge of finding an appropriate risk measure. Simulated scenarios facilitate the comparisons and demonstrate the rational and irrational behavior of the common risk measures.

 

Wednesday, October 15, 2003

12:00 –1:00pm

DH 1042

 

 

Gretchen Fix

STAT

 

A Brief Overview of Current Research on Dividends

 

This presentation will introduce the audience to the topic of dividends. The first part of the presentation will consist of summaries of four journal articles on the topic.  A common theme will be the changing nature of dividend prevalence over the past twenty years.  The second part of the presentation will introduce a statistical approach known as survival analysis and explore its implementation in the study of dividend payout policy.

 

Wednesday, October 8, 2003

12:00 –1:00pm

DH 1042

 

 

Chad Bhatti

STAT

 

Some Notes on Brownian Motion and Its Relationship to Black-Scholes

 

This talk will begin in the first seminar and conclude in the second seminar.  We will develop the Brownian motion process as the limit of a Random Walk and define the properties of Brownian motion.  We will examine the return process of the S&P 500 over several time spans with monthly and daily sampling frequency and compare our empirical findings with the Brownian motion hypothesis. We will discuss how defining the price process as a geometric Brownian motion builds implicit assumptions into the Black-Scholes model and how the Black-Scholes differential equation is derived from a no arbitrage replicating portfolio.

This talk is titled "Notes" because we will offer no definitive statements nor claim any original presentation or ideas.  The purpose of this talk is to introduce the student to a popular continuous time model and to better develop a understanding of a popular and tractable but not the most pliable option pricing model.

 

Wednesday, October 1, 2003

12:00 –1:00pm

DH 1042

 

 

Rachel Gelman

Sophmore

 

Exchanges

 

Without the active involvement of the nearly 85 million investors in the United States alone, the welfare of the economy would certainly be in jeopardy. Investor confidence in markets is crucial to maintaining the capital market system and its growth. In order for an investor to entrust any of their assets to the market, they must have access to up to date information, dependable assistance and contact with a fair playing field.  Exchanges around the world are the fundamental tools for investors to trade stocks, securities, commodities, options and futures. These exchanges provide a wealth of information to the public and are accessible to virtually anyone with a computer. According to the basic economic laws of supply and demand, market professionals act for the wishes of buyers and sellers to determine commodity prices. Investors around the world can trade with confidence in exchanges including the NYSE, Amex, NASDAQ, London Stock Exchange and Tokyo Stock Exchange.

 

Wednesday, September 24, 2003

12:00 –1:00pm

DH 1042

 
 
Richard Shek

Senior

 

Market Crashes Throughout History

 

Although civilization has existed for thousands of years, sizable market economies have only existed in the last several hundred years.  Nevertheless, from the beginning market crashes have occurred in various frequencies throughout the market economies of Europe and North America.   Many market crashes can be attributed to hyped-up speculation bubbles, structural flaws, and weaknesses within the market mechanism.  This presentation will skim through some of the most famous market crashes in history, from the earliest recorded speculation fever, the 17th century Tulipmania, to our latest bear market in 2000.  Hopefully these historical case studies will help us dissect the causes, results, and lessons of these market crises.

 

Wednesday, September 17, 2003

12:00 –1:00pm

DH 1042

 

 

Donald Williams

Doctoral Candidate

CAAM

 

Derivative Financial Products

 

Over the past decade, financial derivatives have continued to evolve and play a more integral role in global financial markets. For example, the total estimated value of outstanding over-the-counter derivative contracts stood at almost $128 trillion in 2002, up from an estimated $3 trillion in 1990. The complexity of new derivative product innovations driving the unabated growth poses major challenges for conventional pricing algorithms and can lead to unrealistic models and valuation inaccuracies. The economic implications to financial risk management and corporate decision analytics are far reaching.  Fundamental to many complex derivative financial products is the valuation and optimal exercise of options with American-style exercise features. In this talk, some fundamental notions are set forth regarding option contract specifications and the mathematical machinery employed for the mathematical modeling and valuation of these financial products.

 

Wednesday, September 10, 2003

12:00 –1:00pm

DH 1042