Mathematics in Finance

28
Mathematics in Finance 12/12/2007 Max Chen Department of Finance Ming Chuan University

description

Mathematics in Finance. 12/12/2007 Max Chen Department of Finance Ming Chuan University. How to lose a billion dollars in stock market. It is as difficult as making a billion dollars in stock market But it’s trivial in derivatives market !. 3 Major Fields. Financial Mathematics - PowerPoint PPT Presentation

Transcript of Mathematics in Finance

Page 1: Mathematics in Finance

Mathematics in Finance

12/12/2007Max Chen

Department of FinanceMing Chuan University

Page 2: Mathematics in Finance

How to lose a billion dollars in stock market

• It is as difficult as making a billion dollars in stock market

• But it’s trivial in derivatives market !

Page 3: Mathematics in Finance

3 Major Fields

• Financial Mathematics

• Financial Engineering

• Financial Econometrics

Page 4: Mathematics in Finance

Tools you have at hand

• Probability• Mathematical Statistics• Stochastic Process• Linear Algebra• Real Analysis• Optimization• PDE• Numerical Approximation

Page 5: Mathematics in Finance

• Any mathematicians make big fortunes?

• Yes, but not too many….

Page 6: Mathematics in Finance

James Harris Simons

• Renaissance Technologies is a hedge fund management company. Renaissance was started by James Simons in 1982. At March 31, 2007, it held some $27 billion in public equity positions

• Chern-Simons form (aka Chern-Simons invariants, or Chern-Simons theory )

• http://en.wikipedia.org/wiki/James_Harris_Simons

Page 7: Mathematics in Finance

David E. Shaw

• Founded by David E. Shaw. Having a Ph.d in Computer Science could not have hurt Shaw. He made a fortune building automated trading systems which exploited anomalies in the stock market. Fortune magazine referred to him as “King Quant”. The firm manages approximately US $29 billion in aggregate capital.

• Employment opportunities at D. E. Shaw are known to be extremely competitive. A notable past worker at D.E Shaw is Jeff Bezos, the founder of Amazon.

Page 8: Mathematics in Finance

http://www.deshaw.com/index.html

• Quantitative Analyst• Quants apply mathematical techniques and write softwar

e to develop and analyze statistical models for our computerized financial trading strategies. Specific responsibilities range from examining trading data in an effort to increase profitability, decrease risk, and reduce transaction costs to conceiving new trading ideas and devising the simulations needed to test them. Successful quant candidates have traditionally been the top students in their respective math, physics, engineering, and computer science programs; a considerable number have also competed successfully in the United States and International Math Olympiads as well as the Putnam Competition.

• http://en.wikipedia.org/wiki/David_E._Shaw

Page 9: Mathematics in Finance

江平• 江平年入逾亿:入选华尔街百位顶尖交易者 (ZZ)

• http://sparrow.yculblog.com/post.1969205.html

Page 10: Mathematics in Finance

E. Robert Fernholz

• Lead Manager since 28-Feb-03Fernholz is the director and executive vice president and chief investment officer with Enhanced Investments Technologies, LLC. He joined the firm in June of 1987, and was formerly director of research at Metropolitan Securities. He has more than 26 years of investment experience.

Page 11: Mathematics in Finance

http://finance.yahoo.com/q/pr?s=jrmsx

• Profile  As of 31-Oct-07 for: INTECH Risk-Mgd Stock Fund

• FUND OVERVIEW Category:Large Blend

• Fund Family:Janus

• Net Assets:524.00M

• Year-to-Date Return:9.65%

• Fund Inception Date:28-Feb-03

Page 12: Mathematics in Finance

• INTECHEnhanced Investment Technologies LLC (INTECH) has managed institutional portfolios since 1987 – establishing one of the industry’s longest continuous records of mathematically driven equity investing strategies. INTECH is one of the fastest growing and most successful money managers in the U.S. and is available in Canada to retail mutual fund investors exclusively through AGF.

Page 13: Mathematics in Finance

• Philosophy:

INTECH’s unique investment process is based on a mathematical theorem that attempts to capitalize on the random nature of stock price movements. The goal is to achieve long-term returns that outperform the benchmark index, while controlling risks and trading costs.

Page 14: Mathematics in Finance

• Dr. Fernholz pioneered mathematical investing with the publication of Stochastic Portfolio Theory and Stock Market Equilibrium in 1982. Today it is the basis of INTECH’s investment strategy. He has held various academic positions in Mathematics and Statistics at Princeton University, City University of New York, Universidad de Buenos Aires and the University of Washington. Dr. Fernholz speaks extensively around the world about his work in the field of mathematical finance and his research continues to advance new and innovative ideas.

• He received his Ph.D in Mathematics from Columbia University and holds an A.B. in Mathematics from Princeton University.

Page 15: Mathematics in Finance

• The Key Paper (also book)

• Stochastic Portfolio Theory: An Overview ,

• Robert Fernholz, Ioannis Karatzas

• 11/24/2006

• https://ww3.intechjanus.com/Janus/Intech/intech?command=researchListing#

Page 16: Mathematics in Finance

• Anyone else?• Yes, to name a few• Merton, Nobel Prize winner• Derman, My Life as a Quant• Litterman, Research Head, Goldman Sachs• Mulvey, Zenios, Dempster

Page 17: Mathematics in Finance

How Complex Math Formulas And "Quant Funds" Failed Wall Street

• LTCM• Long Term Capital Market was a hedge fund fou

nded in 1994 by John Meriwether. It had Myron Scholes and Robert Merton on its board, two Nobel Prize Winners! At its peak, it made about 40% return for its investors. After being heavily leveraged, it went bankrupt.

• The LTCM example teaches you that no matter how smart you are, there are some things that are out of our reach. A good book on LTCM is "When Genius Failed: The Rise and Fall of Long-Term Capital Management"

Page 18: Mathematics in Finance

• Who Makes Money in Wall Street and How? By Daniel Nathan

http://ezinearticles.com/?Who-Makes-Money-in-Wall-Street-and-How&id=588239

Page 19: Mathematics in Finance

How about “max”???

• What do I specialize?

• Secrets?

• Asset Management !

• and Asset/Liability Management….

• Science + Arts

Page 20: Mathematics in Finance

Let’s talk about Math !

• Radon-Nikodym derivative

• Feynman-Kac Theorem

• PDE

• Conditional Expectations

• All about “no arbitrage” and “equilibrium”

• No risk, no return !

• Benchmark

Page 21: Mathematics in Finance

How about Stat?

• Cointegration and Pairs Trading

• Parameter and Model Uncertainty

Page 22: Mathematics in Finance

Model Uncertainty• Without Model Uncertainty

• With Model Uncertainty

,

( | ) ( , | ) ( | , , )j j

T K j j T K j j j jp R D p D p R D d d

2

1,

( | ) ( | ) ( , | , ) ( | , , , )j j

M

T K j j j j T K j j j j jjp R D P D p D p R D d d

( ) 1* {(1 ' ) exp( ) 'exp( )}

arg max ( | ) ,1T K

g

N f f N T KT K T KR

l r K r KlP R D dRR

( ) 1

1

{(1 ' ) exp( ) 'exp( )}1[ ( ( ))]}

1

gG

N f f N T KT K

g

l r K r KlU W

GR

Page 23: Mathematics in Finance

Money, Money, Money

• 2/20 rule in hedge fund industry

Page 24: Mathematics in Finance

Advanced Education

• Within the last few years, mathematics departments at several universities have introduced professional master's degree programs in financial mathematics. Joining forces in an effort to bring the new programs to the attention of both the industry and other universities, three of the programs--at Chicago, Columbia University, and the Courant Institute of Mathematical Sciences, New York University--have founded the Association of Financial Mathematics Programs.

Page 25: Mathematics in Finance

Q&A

Page 26: Mathematics in Finance

Reference

• Salih N. Neftci, 2000, 2nd edition, An Introduction to the Mathematics of Financial Derivatives. Academic Press.

• BAXTER, Martin and RENNIE, Andrew, Financial Calculus: an introduction to derivative pricing, Cambridge University Press, 1998.

• Hull, J. (2003) “Option, Futures, and other Derivatives,” 5th edition.

Page 27: Mathematics in Finance

• Chi-Fu Huang and Robert H. Litzenberger (1988) Foundations for Financial Economics. Prentice Hall.

• Eric Zivot and Jiahui Wang, 2003, Modeling Financial Time Series with S-Plus, Springer.

• Tsay, Ruey S., (2002) , Analysis of Financial Time Series, John Wiley and Sons.

Page 28: Mathematics in Finance

• Musiela, M. and Rutkowski, M., 1998, Martingale Methods in Financial Modelling, 2nd Edition, Springer Finance.

• Thomas Bjork (1998) Arbitrage Theory in Continuous Time. Oxford University Press.

• WILMOTT, Paul, HOWISON, Sam and DEWYNE, Jeff, The Mathematics of Financial Derivatives: a student introduction, Cambridge University Press, 1998.

• OKSENDAL, Bernt, Stochastic Differential Equations: an introduction with applications, Springer-Verlag, 1998.