Rate My Professor Brendan K Beare

Beare's academic interests center on econometric theory, encompassing time series analysis, heavy-tailed phenomena, distributional comparisons, and option mispricing. His prolific publication record features contributions to top-tier journals, including "Determination of Pareto Exponents in Economic Models Driven by Markov Multiplicative Processes" (Econometrica, 2022, with Alexis Akira Toda), "Tail Behavior of Stopped Lévy Processes with Markov Modulation" (Econometric Theory, 2022, with Won-Ki Seo and Alexis Akira Toda), "Optimal Measure Preserving Derivatives Revisited" (Mathematical Finance, 2023), "Representation of I(1) and I(2) Autoregressive Hilbertian Processes" (Econometric Theory, 2020, with Won-Ki Seo), "Improved Nonparametric Bootstrap Tests of Lorenz Dominance" (Journal of Business & Economic Statistics, 2021, with Zhenting Sun), "Randomization Tests of Copula Symmetry" (Econometric Theory, 2020, with Juwon Seo), and "On the Emergence of a Power Law in the Distribution of COVID-19 Cases" (Physica D: Nonlinear Phenomena, 2020, with Alexis Akira Toda). Beare enhances the field's development as Co-Editor of Econ Journal Watch and Associate Editor of Econometric Theory. His work provides foundational advancements in understanding nonstationary processes, stochastic arbitrage, and power laws in economic distributions, influencing econometric methodology and applied research.