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Dan Mitchell
Dan Mitchell
Clinical Assistant Professor, McCombs School of Business, University of Texas at Austin
Verified email at austin.utexas.edu - Homepage
Title
Cited by
Cited by
Year
Modeling and forecasting mortality rates
D Mitchell, P Brockett, R Mendoza-Arriaga, K Muthuraman
Insurance: Mathematics and economics 52 (2), 275-285, 2013
1452013
Modelling electricity prices: a time change approach
L Li, R Mendoza-Arriaga, Z Mo, D Mitchell
Quantitative Finance 16 (7), 1089-1109, 2016
262016
Impulse control of interest rates
D Mitchell, H Feng, K Muthuraman
Operations research 62 (3), 602-615, 2014
222014
Analytical representations for the basic affine jump diffusion
L Li, R Mendoza-Arriaga, D Mitchell
Operations Research Letters 44 (1), 121-128, 2016
102016
Boundary evolution equations for American options
D Mitchell, J Goodman, K Muthuraman
Mathematical Finance 24 (3), 505-532, 2014
102014
Volume-weighted average price tracking: A theoretical and empirical study
D Mitchell, J Białkowski, S Tompaidis
IISE Transactions 52 (8), 864-889, 2020
62020
Objectives and curriculum for a graduate business analytics capstone: Reflections from practice
T Anand, D Mitchell
Decision Sciences Journal of Innovative Education 20 (4), 235-245, 2022
42022
Market or limit orders?
D Mitchell, J Chen
Quantitative Finance 20 (3), 447-461, 2020
42020
Hedge fund compensation: Incentive fees and performance intervals
D Mitchell, K Muthuraman, S Titman
Available at SSRN 3318622, 2019
42019
Optimal vwap tracking
D Mitchell, JP Bialkowski, S Tompaidis
Available at SSRN 2333916, 2013
32013
Conditional Value-at-Risk Robust Optimization
PA Nguyen, D Mitchell
Available at SSRN 4109631, 2022
2022
Simulating theta and gamma of American options
PA Nguyen, D Mitchell
Available at SSRN 4109599, 2022
2022
Computational methods for stochastic control problems with applications in finance
DA Mitchell
2014
ARCH 2013.1 Proceedings
PL Brockett, D Mitchell, R Mendoza-Arria
2012
An Accurate Representation of the Early Exercise Boundary of American Options with Stochastic Volatility
D Mitchell, J Goodman
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Articles 1–15