Mathematical finance: Estimation methods for high-frequency data. High-frequency trading and asset price formation.
Portfolio optimization problems in continuous-time models. Emphasis on Lévy-driven and jump-diffusion models.
Probability and Stochastic processes: Stochastic control,
stochastic analysis, and simulation.
Statistics: Nonparametric estimation methods using sieves,
model selection, and adaptive methods.
Information and coding theory: Concentration inequalities applied
to data compression.
MATH 515/STAT 540.
Mathematics of Finance. Spring 2009. (Also taught in Spring 2008).
Grants/Awards:
NSF CAREER Award: Bridging High-Frequency Data Analysis and Continuous-time Features of Lévy Models DMS-1149692,
2012-2017. Estimated Total Award Amount:
$400,000.
NSF grant: Nonparametric Methods for Jump Processes Under Microstructure Noise DMS-0906919, 2009-2012.
Total Award Amount: $107,250.
Co-organizer of the Special Session on Stochastic processes with applications to mathematical
finance at the AMS 2011 Central Section Meeting to be held in Iowa City, IA, March 18-20, 2011
Co-organizer of the Special Session on Financial
mathematics and statistics at the Spring AMS Southeastern Section Meeting,
University of Kentucky, March 27-28, 2010.
High-Frequency based estimation of exponential L\'evy Models.
Modeling High Frequency Data in Finance II, Stevens Institute of Technology,
Summer 2010.
Mini course on "Statistical Methods for Financial Models driven by Levy Processes." Lecture 1, Lecture 2, Lecture 3, Lecture 4.
The Pan-American Advanced Studies Institute, CIMAT, Mexico, Summer 2010.
Nonparametric estimation of time-changed L\'evy models.
Applied Mathematics Colloquia, Illinois Institute of Technology, November 2009.
Also presented at the Mathematical Finance and Probability Seminar,
Rutgers University, October 2009.