Emanuel Derman

Last updated

Emanuel Derman
Emanuel Derman, July 2013.jpg
Derman in July 2013
Born1945 (age 7879)
Cape Town, South Africa
CitizenshipUnited States
Alma mater Columbia University
University of Cape Town
Known for Financial Modelers' Manifesto
Black–Derman–Toy model
Local volatility
Derman–Kani model
Awards 2000 Financial Engineer of the Year
Scientific career
Fields particle physics, financial engineering
Institutions Goldman Sachs
Salomon Brothers
Columbia University
Doctoral advisor Norman Christ

Emanuel Derman (born 1945) is a South African-born academic, businessman and writer. He is best known as a quantitative analyst, and author of the book My Life as a Quant: Reflections on Physics and Finance. [1]

Contents

He is a co-author of Black–Derman–Toy model, one of the first interest-rate models, and the Derman–Kani local volatility or implied tree model, a model consistent with the volatility smile.

Derman, who first came to the U.S. at age 21, in 1966, is currently a professor at Columbia University [2] and Director of its program in financial engineering. Until recently he was also the Head of Risk and a partner at KKR Prisma Capital Partners, a fund of funds. His book My Life as a Quant: Reflections on Physics and Finance, published by Wiley in September 2004, was one of Business Week's top ten books of the year for 2004. [3] In 2011, he published Models.Behaving.Badly, a book contrasting financial models with the theories of hard science, and also containing some autobiographical material.

Biography

Born to a South African Jewish family, [4] Derman obtained a B.Sc. (Hons) at the University of Cape Town, and received a Ph.D. in theoretical physics from Columbia in 1973, where he wrote a thesis that proposed a test for a weak-neutral current in electron-hadron scattering. This experiment was carried out at SLAC in 1978 by a team led by Charles Prescott and Richard Taylor, and confirmed the Weinberg–Salam model. Between 1973 and 1980 he did research in theoretical particle physics at the University of Pennsylvania, the University of Oxford, Rockefeller University and the University of Colorado at Boulder. From 1980 to 1985 he worked at AT&T Bell Laboratories, where he developed computer languages for business modeling applications.[ citation needed ]

In 1985 Derman joined Goldman Sachs' fixed income division where he was one of the co-developers of the Black–Derman–Toy interest-rate model.[ citation needed ]

He left Goldman Sachs at the end of 1988 to take a position at Salomon Brothers Inc. as head of Adjustable Rate Mortgage Research in the Bond Portfolio Analysis group.[ citation needed ]

Rehired by Goldman Sachs, from 1990 to 2000 he led the Quantitative Strategies group in the Equities division, which pioneered the study of local volatility models and the volatility smile. He was appointed a managing director of Goldman Sachs in 1997. In 2000, he became head of the firm’s Quantitative Risk Strategies group. He retired from Goldman Sachs in 2002 and took a position at Columbia University and Prisma Capital Partners (acquired by KKR).[ citation needed ]

Derman was named the IAFE/SunGard Financial Engineer of the Year 2000, [5] and was elected to the Risk Hall of Fame in 2002. He is the author of numerous articles on quantitative finance on the topics of volatility and the nature of financial modeling.[ citation needed ]

Since 1995, Derman has written many articles pointing out the essential difference between models in physics and models in finance. Good models in physics aim to predict the future accurately from the present, or to predict new previously unobserved phenomena; models in finance are used mostly to estimate the values of illiquid securities from liquid ones. Models in physics deal with objective variables; models in finance deal with subjective ones. "In physics there may one day be a Theory of Everything; in finance and the social sciences, you’re lucky if there is a usable theory of anything."[ citation needed ]

Derman together with Paul Wilmott wrote the Financial Modelers' Manifesto, a set of principles for doing responsible financial modeling. [6]

From February 2011 to July 2012, Derman wrote a financial blog for Reuters. Beginning in September 2012, for one year, Derman wrote a regular column for the Frankfurter Allgemeine Zeitung.[ citation needed ]

Models.Behaving.Badly

In 2011, Derman published a new book titled Models.Behaving.Badly: Why Confusing Illusion With Reality Can Lead to Disaster, on Wall Street and in Life. In that work he decries the breakdown of capitalism as a model during the bailouts characterizing the 2008 financial crisis and calls for a return to principles, to the notion that if you want to take a chance on the upside, you have also taken a chance on the downside.

More generally, he analyzes three ways of understanding the behavior of the world: models, theory and intuition. Models, he argues, are merely metaphors that compare something you would like to understand with something you already do. Models provide relative knowledge. Theories, in contrast, are attempts to understand the world on absolute terms; while models stand on someone else's legs, theories, like Newton's or Maxwell's or Spinoza's, stand on their own. Intuition, the deepest kind of knowledge, comes only occasionally, after long and hard work, and is a merging of the understander with the understood. His book elaborates on these ideas with examples from the theories of physics and philosophy, and the models of finance.

The Volatility Smile

In 2016, Derman and Michael Miller published a textbook titled The Volatility Smile, a textbook about the principles of financial modeling, option valuation, and the variety of models that can account for the volatility smile.

See also

Related Research Articles

<span class="mw-page-title-main">Fischer Black</span> American economist (1938–1995)

Fischer Sheffey Black was an American economist, best known as one of the authors of the Black–Scholes equation.

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.

In mathematical finance, the Black–Derman–Toy model (BDT) is a popular short-rate model used in the pricing of bond options, swaptions and other interest rate derivatives; see Lattice model (finance) § Interest rate derivatives. It is a one-factor model; that is, a single stochastic factor—the short rate—determines the future evolution of all interest rates. It was the first model to combine the mean-reverting behaviour of the short rate with the log-normal distribution, and is still widely used.

<span class="mw-page-title-main">Lattice model (finance)</span> Method for evaluating stock options that divides time into discrete intervals

In finance, a lattice model is a technique applied to the valuation of derivatives, where a discrete time model is required. For equity options, a typical example would be pricing an American option, where a decision as to option exercise is required at "all" times before and including maturity. A continuous model, on the other hand, such as Black–Scholes, would only allow for the valuation of European options, where exercise is on the option's maturity date. For interest rate derivatives lattices are additionally useful in that they address many of the issues encountered with continuous models, such as pull to par. The method is also used for valuing certain exotic options, where because of path dependence in the payoff, Monte Carlo methods for option pricing fail to account for optimal decisions to terminate the derivative by early exercise, though methods now exist for solving this problem.

A master's degree in quantitative finance is a postgraduate degree focused on the application of mathematical methods to the solution of problems in financial economics. There are several like-titled degrees which may further focus on financial engineering, computational finance, mathematical finance, and/or financial risk management.

Jonathan Edwards "Jon" Ingersoll, Jr. is an American economist. He is the Adrian C. Israel Professor of International Trade and Finance at Yale School of Management. Prior to coming to Yale he was on the faculty at the Graduate School of Business at the University of Chicago.

Jim Gatheral is a researcher in the field of mathematical finance, who has contributed to the study of volatility as applied to the pricing and risk management of derivatives. A recurrent subject in his books and papers is the volatility smile, and he published in 2006 a book The Volatility Surface based on a course he taught for six years at New York University, along with Nassim Taleb. More recently his work has moved in the direction of market microstructure, especially as applied to algorithmic trading. He is the author of The Volatility Surface: A Practitioner's Guide.

<span class="mw-page-title-main">Volatility (finance)</span> Degree of variation of a trading price series over time

In finance, volatility is the degree of variation of a trading price series over time, usually measured by the standard deviation of logarithmic returns.

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

<span class="mw-page-title-main">Paul Wilmott</span>

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".

Fabio Mercurio is an Italian mathematician, internationally known for a number of results in mathematical finance.

The Financial Modelers' Manifesto was a proposal for more responsibility in risk management and quantitative finance written by financial engineers Emanuel Derman and Paul Wilmott. The manifesto includes a Modelers' Hippocratic Oath. The structure of the Financial Modelers' Manifesto mirrors that of The Communist Manifesto of 1848.

<span class="mw-page-title-main">José Scheinkman</span> Brazilian economist (born 1948)

José Alexandre Scheinkman is a Brazilian economist, currently the Charles and Lynn Zhang Professor of Economics at Columbia University and the Theodore A. Wells '29 Professor of Economics Emeritus at Princeton University. He spent much of his career at the University of Chicago, where he served as department chair immediately prior to his departure for Princeton. He is best known for his work in mathematical economics and finance, oligopoly theory and the social economics of cities and crime; he also helped spur the development of work at the intersection of economics, finance and physics. Scheinkman also famously pioneered the now-ubiquitous application of academic financial theory to practical risk management of fixed incomes during a leave he took as Vice President in the Financial Strategies Group at Goldman, Sachs & Co. during the late 1980s.

Quantitative analysis is the use of mathematical and statistical methods in finance and investment management. Those working in the field are quantitative analysts (quants). Quants tend to specialize in specific areas which may include derivative structuring or pricing, risk management, investment management and other related finance occupations. The occupation is similar to those in industrial mathematics in other industries. The process usually consists of searching vast databases for patterns, such as correlations among liquid assets or price-movement patterns.

Steven "Steve" L. Heston is an American mathematician, economist, and financier. He's also prominently active in the field of gambling-related research, where he sometimes uses the pen name Kim Lee.

Piotr Karasinski is a pioneering quantitative analyst, best known for the Black–Karasinski short-rate model which he co-developed with the late Fischer Black. His contributions to quantitative finance include models for interest rates, equity and hybrid products and random volatility.

Mathematical finance, also known as quantitative finance and financial mathematics, is a field of applied mathematics, concerned with mathematical modeling of financial markets.

References

  1. Derman, Emanuel (2008). My life as a Quant : Reflections on physics and finance (Second ed.). Hoboken, N.J.: Wiley. ISBN   978-0-470-19273-3.
  2. "Archived copy". Archived from the original on 6 December 2006. Retrieved 6 December 2006.{{cite web}}: CS1 maint: archived copy as title (link)
  3. The Pick Of This Year's Crop Of Books (13 December 2004) Archived 13 December 2007 at the Wayback Machine
  4. My Life as a Quant: Reflections on Physics and Finance, Emanuel Derman, (2004), page 69
  5. Emanuel Derman 2000 IAFE/SunGard Financial Engineer of the Year Award: Copy of press release from SunGard
  6. "American π: Piece of Cake?". Wilmott. Archived from the original on 8 September 2014. Retrieved 14 November 2017.