Marco Avellaneda (mathematician)

Last updated
Dr. Marco Avellaneda.jpg

Marco Avellaneda (Ph.D.) (February 16, 1955 - June 11, 2022) was an Argentinean mathematician and financial consultant. He was the director of the Division of Financial Mathematics at the Courant Institute at New York University. [1]

Contents

Early life

Avellaneda was born on February 16, 1955, in Miramar, Argentina. His great-grandfather Nicolas Avellaneda was Argentina’s youngest President and was credited with having brought on a period of peace and significant economic output and exports at the end of the 19th century. [2] He spent his formative years living in Rio de Janeiro, Buenos Aires and Paris. Avellaneda attended the University of Buenos Aires from 1977 to 1981. He moved to the United States in 1981, to pursue a doctorate in mathematics at the University of Minnesota–Twin Cities where he graduated with a PhD in 1985.

He was married to Cassandra Richmond, a psychotherapist, and lived in New York City.

Academic career

He began his academic career at New York University's Courant Institute as an Instructor in 1985 and has been a member of the faculty since then. He was appointed Director of the Division of Financial Mathematics in 1998. His research interests include applied mathematics and physics, mathematical finance, econometrics of financial markets, derivative securities, portfolio theory and risk-management. [3]

He was a visiting member of the Institute for Advanced Study in 1997, the Applied Mathematics Laboratory at Ecole Polytechnique in Paris, the University of Nice’s Institut Jean Dieudonne, the University of Minnesota’s Institute for Mathematics and its Applications, and the University of Coimbra’s International Center for Mathematics. He served in the American Mathematical Society’s Committee for Science Policy from 2000 to 2003.


He was best known for the Uncertain Volatility Model for option pricing and his contributions to the formulation of quantitative trading strategies, such as statistical arbitrage, correlation trading, and automated market-making. He taught courses at NYU in Risk and Portfolio Management and Derivative Securities. [4]

In 1998 he was an Invited Speaker of the International Congress of Mathematicians in Berlin. [5]

Consulting and other business endeavors

Avellaneda was an expert in quantitative finance and has consulted extensively on the subject. His first assignment, in 1996, was with the foreign-exchange derivatives desk at Banque Indousuez in New York. He became Vice-President of the Fixed-Income research and Derivative Products Group at Morgan Stanley in 1996, where he worked for one year before returning to NYU. He was consultant for the fixed-income research team at Banque Paribas in 1999. He headed the options research team at Gargoyle Strategic Investments from 2000 to 2004. Avellaneda consulted with the Royal Bank of Canada, focusing on structured credit derivatives, in 2001-2002. In 2003, he founded the risk management advisory firm Finance Concepts [6] with fellow mathematician Rama Cont and Nicole El Karoui. In 2004, he started Capital Fund Management’s Nimbus Fund, dedicated to the systematic trading of listed equity derivatives.

Avellaneda's research interests centered on applications of mathematics and statistics to financial markets, mostly in the areas of trading and risk-management. In 2010, he was recognized as Quant of the Year by Risk magazine, [7] for his paper on pricing options on hard-to-borrow securities co-authored with Michael Lipkin.

Related Research Articles

Finance refers to monetary resources and to the study and discipline of money, currency and capital assets. As a subject of study, it is related to but distinct from economics, which is the study of the production, distribution, and consumption of goods and services. Based on the scope of financial activities in financial systems, the discipline can be divided into personal, corporate, and public finance.

<span class="mw-page-title-main">Robert C. Merton</span> American economist

Robert Cox Merton is an American economist, Nobel Memorial Prize in Economic Sciences laureate, and professor at the MIT Sloan School of Management, known for his pioneering contributions to continuous-time finance, especially the first continuous-time option pricing model, the Black–Scholes–Merton model. In 1997 Merton together with Myron Scholes were awarded the Bank of Sweden Prize in Economic Sciences in Memory of Alfred Nobel for the method to determine the value of derivatives.

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.

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.

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.

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.

Bruno Dupire is a researcher and lecturer in quantitative finance. He is currently Head of Quantitative Research at Bloomberg LP. He is best known for his contributions to local volatility modeling and Functional Itô Calculus. He is also an Instructor at New York University since 2005, in the Courant Master of Science Program in 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.

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

QuantLib is an open-source software library which provides tools for software developers and practitioners interested in financial instrument valuation and related subjects. QuantLib is written in C++.

Mark Suresh Joshi was British researcher and consultant in mathematical finance. His last position was a professor at the University of Melbourne in Australia.

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.

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

Riccardo Rebonato is Professor of Finance at EDHEC Business School and EDHEC-Risk Institute, Scientific Director of the EDHEC Risk Climate Impact Institute (ERCII), and author of journal articles and books on Mathematical Finance, covering derivatives pricing, risk management, asset allocation and climate change. In 2022 he was granted the PRM Quant of the Year award for 'outstanding contributions to the field of quantitative portfolio theory'. Prior to this, he was Global Head of Rates and FX Analytics at PIMCO.

<span class="mw-page-title-main">Robert Almgren</span> American mathematician

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.

<span class="mw-page-title-main">Raphael Douady</span> French mathematician and economist

Raphael Douady is a French mathematician and economist. He holds the Robert Frey Endowed Chair for Quantitative Finance at Stony Brook, New York. He is a fellow of the Centre d’Economie de la Sorbonne, Paris 1 Pantheon-Sorbonne University, and academic director of the Laboratory of Excellence on Financial Regulation.

Rama Cont is the Statutory Professor of Mathematical Finance at the University of Oxford. He is known for contributions to probability theory, stochastic analysis and mathematical modelling in finance, in particular mathematical models of systemic risk. He was awarded the Louis Bachelier Prize by the French Academy of Sciences in 2010.

References

  1. "Marco Avellaneda".
  2. "Argentina – National consolidation, 1852–80 | history – geography". Encyclopædia Britannica. Retrieved 2016-12-14.
  3. Cont, Rama (2023), "In memoriam: Marco Avellaneda (1955–2022)", Mathematical Finance, 33, Wiley, retrieved 2023-08-12
  4. "Marco Avellaneda". www.math.nyu.edu. Retrieved 2016-12-14.
  5. Avellaneda, Marco (1998). "The minimum-entropy algorithm and related methods for calibrating asset-pricing models". Doc. Math. (Bielefeld) Extra Vol. ICM Berlin, 1998, vol. III. pp. 545–563.
  6. "Home". finance-concepts.com.
  7. "Risk Magazine Names NYU Courant's Avellaneda "Quant of the Year" for Work on Impact of Short-Selling Restrictions on Stock Prices".