
Mark Broadie
· Carson Family Professor of BusinessColumbia University · Decision Sciences and Operations
Active 1982–2026
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
Research topics
- Computer Science
- Mathematics
- Statistics
- Nuclear medicine
- Mathematical optimization
- Simulation
- Operations management
- Engineering
- Psychology
- Aerospace engineering
Selected publications
Efficient Risk Estimation via Nested Sequential Simulation
Management Science · 2011-04-30 · 119 citations
article1st authorCorrespondingWe analyze the computational problem of estimating financial risk in a nested simulation. In this approach, an outer simulation is used to generate financial scenarios, and an inner simulation is used to estimate future portfolio values in each scenario. We focus on one risk measure, the probability of a large loss, and we propose a new algorithm to estimate this risk. Our algorithm sequentially allocates computational effort in the inner simulation based on marginal changes in the risk estimato…
Operations Research · 2011-10-01 · 101 citations
article1st authorCorrespondingWe consider the Kiefer-Wolfowitz (KW) stochastic approximation algorithm and derive general upper bounds on its mean-squared error. The bounds are established using an elementary induction argument and phrased directly in the terms of tuning sequences of the algorithm. From this we deduce the nonnecessity of one of the main assumptions imposed on the tuning sequences by Kiefer and Wolfowitz [Kiefer, J., J. Wolfowitz. 1952. Stochastic estimation of the maximum of a regression function. Ann. Math.…
Risk Estimation via Regression
Operations Research · 2015-10-01 · 98 citations
article1st authorCorrespondingWe introduce a regression-based nested Monte Carlo simulation method for the estimation of financial risk. An outer simulation level is used to generate financial risk factors and an inner simulation level is used to price securities and compute portfolio losses given risk factor outcomes. The mean squared error (MSE) of standard nested simulation converges at the rate k −2/3 , where k measures computational effort. The proposed regression method combines information from different risk factor r…
Assessing Golfer Performance on the PGA TOUR
INFORMS Journal on Applied Analytics · 2012-04-01 · 71 citations
article1st authorCorrespondingThe game of golf involves many different types of shots, including long tee shots (typically hit with a driver), approach shots to greens, shots from the sand, and putts on the green. Although determining the winner of a golf tournament by counting strokes is easy, assessing which factors contributed most to the victory is not. In this paper, we apply an analysis based on strokes gained, introduced previously, to assess professional golfer performance in different parts of the game [Broadie M (2…
Medical Entomology and Zoology · 2014-03-06 · 44 citations
bookOpen access1st authorCorresponding
Recent grants
Computational Methods in Financial Engineering
NSF · $387k · 2004–2008
Computational Methods in Risk Management and Financial Engineering
NSF · $564k · 2009–2013
Frequent coauthors
- 26 shared
Jérôme Detemple
Boston University
- 25 shared
Paul Glasserman
Columbia University
- 10 shared
Assaf Zeevi
Columbia University
- 8 shared
Mikhail Chernov
Anderson University - South Carolina
- 6 shared
Suresh Sundaresan
Columbia University
- 5 shared
Steven Kou
Boston University
- 5 shared
Michael Johannes
- 4 shared
Weiwei Shen
Tongling University
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