Mark Broadie
- Carson Family Professor of Business
- Decision, Risk, and Operations Division
- Academic Advisory Board Member
- Program for Financial Studies
- Chair of Decision, Risk, and Operations
- Decision, Risk, and Operations Division
- Areas of Expertise
- Artificial Intelligence (AI)
- Contact
- Office: 1131 Kravis
- Phone: (212) 8544103
- E-mail: [email protected]
- Links
- Curriculum Vitae
Professor Broadie currently teaches the elective courses Security Pricing: Models and Computation, Computational Finance, and Programming for Business Research. He is an Academic Advisory Board Member for the Program for Financial Studies. His research interests include the pricing of derivative securities, risk management and, more generally, quantitative methods for decision-making under uncertainty. Broadie is the financial engineering area editor of Operations Research and serves on the editorial boards of Finance and Stochastics, SIAM Journal of Financial Mathematics and Computational Management Science and was previously editor-in-chief of the Journal of Computational Finance. Professor Broadie received two Dean's awards for teaching and has given seminars and courses for financial professionals throughout the world. He is the vice chairman of Enterprise Risk Management Institute International (ERM-II), a non-profit organization dedicated to promoting education, research and training of enterprise risk managers. He has served as a consultant for a number of financial firms.
- Education
-
BS, Cornell, 1979; PhD, Stanford, 1983
- Joined CBS
- 1983
All Activities
Mark Broadie Named Vice Dean for Teaching
Broadie Awarded Prize For Innovation In The Curriculum
- Case ID
- 210205
Soccer Expected Goals (xG)
How can statisticians utilize expected goals data to predict the likelihood of a soccer player's shot resulting in a goal?
- Case ID
- 210203
Clutch and Overall Performance in Major League Baseball (MLB)
Can analytics predict a baseball player's ability to perform when it matters most?
- Case ID
- 210204
Music Streaming
Would the listener base for music streaming services continue to grow—and would services be able to differentiate themselves in this increasingly competitive industry?
- Case ID
- 210202
Draft Analysis
How can teams use data and analytics to optimally trade picks in the NFL draft?
- Case ID
- 140204
DSS
- Case ID
- 140206
Tahoe Healthcare Systems
Has Tahoe Healthcare's CareTracker system effectively—and cost efficiently—reduced the readmission rate in its pilot program?
- Case ID
- 140205
H&K
- Case ID
- 140202
Pandora Internet Radio
- Case ID
- 100201
Retailer: A Retail Pricing Simulation Exercise
How do mangers for large retail chains determine pricing and markdown strategies?
- Case ID
- 120201
An Introduction to Spreadsheet Optimization Using Excel
How can one use "optimizers" to solve linear, nonlinear, and integer programs within spreadsheets?