Neil Chriss

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Neil A. Chriss is a mathematician, academic, hedge fund manager, [1] philanthropist and a founding board member of the charity organization "Math for America" which seeks to improve math education in the United States. [2] Chriss also serves on the board of trustees of the Institute for Advanced Study. [3]

Contents

Early career

Chriss learned programming at the age of 11. He developed a videogame called D' Fuse and sold it to Tymac when he was a sophomore in high school. The game quickly faded when the Commodore 64 with 64K of memory and much better graphics appeared. [4]

Chriss went to the University of Chicago, where he majored in mathematics. Following his junior year in college, he worked at Fermilab with Myron Campbell and Bruce Denby; he developed a neural network to find b-quark jets. [5] He then earned his master's degree in Applied Mathematics at Caltech. [6]

Chriss studied pure mathematics at the University of Chicago, working in the Langlands Program. He received a Ph.D. in 1993, with the thesis A Geometric Construction of the Iwahori-Hecke Algebra. [7] With Victor Ginzburg, he wrote a book on algebraic geometry and representation theory. [8]

Academia

Chriss's first academic job (1993–1994) was at the University of Toronto, where he wrote "Representation Theory and Complex Geometry" with Ginzburg. At Toronto, John M. Liew introduced Chriss to "quant" finance, probability theory, stochastic calculus and Black–Scholes option pricing theory.

At the Institute for Advanced Study in 1994–1995, Chriss began the book "Black–Scholes and Beyond: Option Pricing Models" (Irwin, 1996). In 1995, he was hired for the summer in the Quantitative Strategies group of Emanuel Derman at Goldman Sachs. In 1994, Derman and Kani published a paper [9] that showed how to fit a binomial tree to price all options trading in the market at that time. Chriss helped extend their work from binomial to trinomial trees. [10]

Chriss received a grant from NSF and went to Harvard University Mathematics Department in 1996. Despite the offer of an assistant professorship at Harvard in 1997, he moved to Wall Street.

Wall Street

Risk Magazine named Chriss one of the "Top Ten to Watch in the next Ten Years" in 1997. [11]

In 1997, Chriss joined the quant research group in Morgan Stanley to work on portfolio trading for their cash equities program trading desk. He wrote a paper "Optimal execution of portfolio transactions" with Robert Almgren. [12] The Institutional Investor [13] published an article about Algorithmic Trading in its November 2004 issue, titled "The Orders Battle", which noted that Chriss's paper "helped lay the groundwork for arrival-price algorithms being developed on Wall Street." The work has been widely cited since. [14] [15] Chris also wrote Algorithmic Trading articles: "Competitive bids for principal program trades", [16] "Value under liquidation". [17] At Morgan Stanley, Peter Muller inspired Chriss to pursue quantitative trading.

In 1998, Chriss moved into portfolio management, joining the Goldman Sachs Asset Management (GSAM) Quantitative Strategies group to develop a new trading strategy, after Cliff Asness, John M. Liew and Bob Krail left to form AQR Capital Management.

In 2000, Chriss left Goldman Sachs to found ICor Brokerage Inc., a derivatives trading firm. [6] In 2001, ICor joined forces with Reuters, forming a joint venture, ICor Brokerage Ltd. [18] Reuters bought out ICor in 2004. [19]

Mathematical finance education

Chriss was asked by New York University Courant Institute of Mathematical Sciences to be the first (part-time) director of the Program in Mathematics in Finance. [20] At Courant from 1997 to 2003, Chriss recruited Jim Gatheral, Steve Allen, Peter Fraenkel (now head of Quantitative IT at UBS) and Nassim Taleb.

In 2003 Chriss became executive director of the University of Chicago Financial Mathematics Program.

Hedge funds

In 2003, Chriss joined the Stamford, Connecticut hedge fund SAC Capital, working there until early 2007.

Chriss then founded the hedge fund "Hutchin Hill Capital". Renaissance Technologies' Meritage Fund provided $300 million of capital to Hutchin Hill.[ citation needed ]

Recent research

With R. Almgren, Chriss wrote a paper on optimizing a portfolio. [21] They submitted a patent application on the method.

Books

Nigel Goldenfeld, a professor of physics at University of Illinois, recommends Chriss's book Black–Scholes and Beyond to those of his students "contemplating a career in quantitative finance", as giving an "Excellent overview of modern day finance, financial models, and their shortcomings. A great blend of practical and theoretical knowledge, clearly presented". [22]

Related Research Articles

The Black–Scholes or Black–Scholes–Merton model is a mathematical model for the dynamics of a financial market containing derivative investment instruments. From the partial differential equation in the model, known as the Black–Scholes equation, one can deduce the Black–Scholes formula, which gives a theoretical estimate of the price of European-style options and shows that the option has a unique price given the risk of the security and its expected return. The formula led to a boom in options trading and provided mathematical legitimacy to the activities of the Chicago Board Options Exchange and other options markets around the world. It is widely used, although often with some adjustments, by options market participants.

Financial engineering is a multidisciplinary field involving financial theory, methods of engineering, tools of mathematics and the practice of programming. It has also been defined as the application of technical methods, especially from mathematical finance and computational finance, in the practice of finance.

Financial modeling is the task of building an abstract representation of a real world financial situation. This is a mathematical model designed to represent the performance of a financial asset or portfolio of a business, project, or any other investment.

Computational finance

Computational finance is a branch of applied computer science that deals with problems of practical interest in finance. Some slightly different definitions are the study of data and algorithms currently used in finance and the mathematics of computer programs that realize financial models or systems.

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The following outline is provided as an overview of and topical guide to finance:

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A local volatility model, in mathematical finance and financial engineering, is one that treats volatility as a function of both the current asset level and of time . As such, a local volatility model is a generalisation of the Black–Scholes model, where the volatility is a constant.

Victor Ginzburg Russian American mathematician (born 1957)

Victor Ginzburg is a Russian American mathematician who works in representation theory and in noncommutative geometry. He is known for his contributions to geometric representation theory, especially, for his works on representations of quantum groups and Hecke algebras, and on the geometric Langlands program. He is currently a Professor of Mathematics at the University of Chicago.

Paul Wilmott

Paul Wilmott is an English researcher, consultant and lecturer in quantitative finance. He is best known as the author of various academic and practitioner texts on risk and derivatives, for Wilmott magazine and Wilmott.com, a quantitative finance portal, and for his prescient warnings about the misuse of mathematics in finance.

In finance, model risk is the risk of loss resulting from using insufficiently accurate models to make decisions, originally and frequently in the context of valuing financial securities. However, model risk is more and more prevalent in activities other than financial securities valuation, such as assigning consumer credit scores, real-time probability prediction of fraudulent credit card transactions, and computing the probability of air flight passenger being a terrorist. Rebonato in 2002 defines model risk as "the risk of occurrence of a significant difference between the mark-to-model value of a complex and/or illiquid instrument, and the price at which the same instrument is revealed to have traded in the market".

A quantitative fund is an investment fund in which investment decisions are determined by numerical methods rather than by human judgment. See Quantitative analysis (finance) § Quantitative investment management.

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Mathematical finance, also known as quantitative finance and financial mathematics, is a field of applied mathematics, concerned with mathematical modeling of financial markets. Generally, mathematical finance will derive and extend the mathematical or numerical models without necessarily establishing a link to financial theory, taking observed market prices as input. Mathematical consistency is required, not compatibility with economic theory. Thus, for example, while a financial economist might study the structural reasons why a company may have a certain share price, a financial mathematician may take the share price as a given, and attempt to use stochastic calculus to obtain the corresponding value of derivatives of the stock. The fundamental theorem of arbitrage-free pricing is one of the key theorems in mathematical finance, while the Black–Scholes equation and formula are amongst the key results.

Robert F. Almgren is an applied mathematician, academic, and businessman focused on market microstructure and order execution. He is the son of Princeton mathematician Frederick J. Almgren, Jr. With Neil Chriss, he wrote the seminal paper "Optimal execution of portfolio transactions," which Institutional Investor said "helped lay the groundwork for arrival-price algorithms being developed on Wall Street." In 2008 with Christian Hauff, he cofounded Quantitative Brokers, a financial technology company providing agency algorithmic execution in futures and interest rate markets. He is currently Chief Scientist at QB and a visiting professor in Operations Research and Financial Engineering at Princeton University.

Transaction cost analysis (TCA), as used by institutional investors, is defined by the Financial Times as "the study of trade prices to determine whether the trades were arranged at favourable prices – low prices for purchases and high prices for sales". It is often split into two parts – pre-trade and post-trade. Recent regulations, such as the European Markets in Financial Instruments Directive, have required institutions to achieve best execution.

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WorldQuant

WorldQuant, LLC is an international hedge fund and quantitative investment management firm headquartered in Old Greenwich, Connecticut. Founded in 2007, the firm is currently managing approximately $5 billion in assets under management for Millennium Management via quantitative trading and other methods of quantitative investing. WorldQuant operates the WorldQuant Challenge, where participants compete in the field of quantitative finance, and WorldQuant Accelerator, an independent portfolio manager platform. In 2015 the WorldQuant Foundation launched WorldQuant University.

References

  1. Imogen Rose-Smith, (July 20, 2011) "Neil Chriss's Multistrat Hedge Fund Puts Up The Numbers". Institutional Investor .
  2. "Neil Chriss biography at "Math for America" webpage". Archived from the original on 2012-04-07. Retrieved 2011-11-27.
  3. Institute for Advanced Study Appoints Neil Chriss to Board of Trustees
  4. R. Lindsay and Barry Schachter, "How I became a Quant", Wiley (2007), ISBN   978-0-470-05062-0
  5. Denby, Cambell, Bedeschi, Chriss, et al.,, "Neural Networks for Triggering," IEEE Tians. Nucl. Sci, 37(2) (1990), 248–254
  6. 1 2 "Archived copy". Archived from the original on 2012-08-01. Retrieved 2012-01-08.CS1 maint: discouraged parameter (link) CS1 maint: archived copy as title (link)
  7. The thesis followed up on David Kazhdan and George Lusztig, "Proof of the Deligne-Langlands conjecture for Hecke algebras", Invent. Math, 87 (1987), 153–215
  8. Victor Ginzburg and Neil Chriss. Representation Theory and Complex Geometry. Birkhäuser, 1997.
  9. I.Kani and E.Derman, "Riding on a Smile", Risk 7(2) (1994), pp. 32–39
  10. E. Derman, I. Kani, N. Chriss, "Implied trinomial trees of the volatility smile", Journal of Derivatives (1996)
  11. Jacob Wolinsky (July 9, 2012). "Exclusive: How Hutchin Hill Took Down JPMorgan". ValueWalk.
  12. R.Almgren and N.Chriss, "Optimal execution of portfolio transactions" J. Risk, 3 (Winter 2000/2001) pp.5–39
  13. The Institutional Investor magazine
  14. David Leinweber, "Algo vs. Algo", The Institutional Investor's Alpha, February 2007
  15. A TRADE Guide to Broker Algorithms, The TRADE, Issue 3, Jan–Mar 2005
  16. Robert Almgren and Neil Chriss, "Bidding principles" Risk, June 2003
  17. Robert Almgren and Neil Chriss , "Value under liquidation", Risk, Dec. 1999
  18. "Reuters and ICor combine for electronic derivatives". Finextra Research. Retrieved 2008-06-30.CS1 maint: discouraged parameter (link)
  19. "Reuters assumes full control of ICor Brokerage; targets interest rate swaps". Finextra Research. Retrieved 2008-06-30.CS1 maint: discouraged parameter (link)
  20. NYU Program in Mathematics in Finance
  21. Robert Almgren and Neil Chriss, "Optimal portfolios from ordering information", Journal of Risk, Fall 2006
  22. Goldenfeld, Nigel (March 2009). "Job Hunting on Wall Street". Finance for Physicists. University of Illinois. Retrieved December 9, 2011.CS1 maint: discouraged parameter (link)